walensee.ipynb

{
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    {
     "data": {
      "application/papermill.record/text/plain": "'resources/pdfs/walensee.pdf'"
     },
     "metadata": {
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   "source": [
    "# -*- coding: utf-8 -*-\n",
    "# This is a report using the data from IQAASL.\n",
    "# IQAASL was a project funded by the Swiss Confederation\n",
    "# It produces a summary of litter survey results for a defined region.\n",
    "# These charts serve as the models for the development of plagespropres.ch\n",
    "# The data is gathered by volunteers.\n",
    "# Please remember all copyrights apply, please give credit when applicable\n",
    "# The repo is maintained by the community effective January 01, 2022\n",
    "# There is ample opportunity to contribute, learn and teach\n",
    "# contact dev@hammerdirt.ch\n",
    "\n",
    "# Dies ist ein Bericht, der die Daten von IQAASL verwendet.\n",
    "# IQAASL war ein von der Schweizerischen Eidgenossenschaft finanziertes Projekt.\n",
    "# Es erstellt eine Zusammenfassung der Ergebnisse der Littering-Umfrage für eine bestimmte Region.\n",
    "# Diese Grafiken dienten als Vorlage für die Entwicklung von plagespropres.ch.\n",
    "# Die Daten werden von Freiwilligen gesammelt.\n",
    "# Bitte denken Sie daran, dass alle Copyrights gelten, bitte geben Sie den Namen an, wenn zutreffend.\n",
    "# Das Repo wird ab dem 01. Januar 2022 von der Community gepflegt.\n",
    "# Es gibt reichlich Gelegenheit, etwas beizutragen, zu lernen und zu lehren.\n",
    "# Kontakt dev@hammerdirt.ch\n",
    "\n",
    "# Il s'agit d'un rapport utilisant les données de IQAASL.\n",
    "# IQAASL était un projet financé par la Confédération suisse.\n",
    "# Il produit un résumé des résultats de l'enquête sur les déchets sauvages pour une région définie.\n",
    "# Ces tableaux ont servi de modèles pour le développement de plagespropres.ch\n",
    "# Les données sont recueillies par des bénévoles.\n",
    "# N'oubliez pas que tous les droits d'auteur s'appliquent, veuillez indiquer le crédit lorsque cela est possible.\n",
    "# Le dépôt est maintenu par la communauté à partir du 1er janvier 2022.\n",
    "# Il y a de nombreuses possibilités de contribuer, d'apprendre et d'enseigner.\n",
    "# contact dev@hammerdirt.ch\n",
    "\n",
    "# sys, file and nav packages:\n",
    "import datetime as dt\n",
    "from datetime import date, datetime, time\n",
    "from babel.dates import format_date, format_datetime, format_time, get_month_names\n",
    "import locale\n",
    "\n",
    "# math packages:\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from math import pi\n",
    "\n",
    "# charting:\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from matplotlib import ticker\n",
    "from matplotlib.ticker import MultipleLocator\n",
    "import seaborn as sns\n",
    "from matplotlib import colors as mplcolors\n",
    "\n",
    "# build report\n",
    "from reportlab.platypus.flowables import Flowable\n",
    "from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Image, PageBreak, KeepTogether\n",
    "from reportlab.lib.pagesizes import A4\n",
    "from reportlab.rl_config import defaultPageSize\n",
    "from reportlab.lib.units import inch, cm\n",
    "from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle\n",
    "from reportlab.lib.colors import HexColor\n",
    "from reportlab.platypus import Table, TableStyle\n",
    "from reportlab.lib import colors\n",
    "\n",
    "# the module that has all the methods for handling the data\n",
    "import resources.featuredata as featuredata\n",
    "from resources.featuredata import makeAList\n",
    "\n",
    "# home brew utitilties\n",
    "# import resources.chart_kwargs as ck\n",
    "import resources.sr_ut as sut\n",
    "\n",
    "# images and display\n",
    "from PIL import Image as PILImage\n",
    "from IPython.display import Markdown as md\n",
    "from myst_nb import glue\n",
    "\n",
    "# chart style\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "# a place to save figures and a \n",
    "# method to choose formats\n",
    "save_fig_prefix = \"resources/output/\"\n",
    "\n",
    "# the arguments for formatting the image\n",
    "save_figure_kwargs = {\n",
    "    \"fname\": None,\n",
    "    \"dpi\": 300.0,\n",
    "    \"format\": \"jpeg\",\n",
    "    \"bbox_inches\": None,\n",
    "    \"pad_inches\": 0,\n",
    "    \"bbox_inches\": 'tight',\n",
    "    \"facecolor\": 'auto',\n",
    "    \"edgecolor\": 'auto',\n",
    "    \"backend\": None,\n",
    "}\n",
    "\n",
    "## !! Begin Note book variables !!\n",
    "\n",
    "# There are two language variants: german and english\n",
    "# change both: date_lang and language\n",
    "date_lang =  'de_DE.utf8'\n",
    "locale.setlocale(locale.LC_ALL, date_lang)\n",
    "\n",
    "# the date format of the survey data is defined in the module\n",
    "date_format = featuredata.date_format\n",
    "\n",
    "# the language setting use lower case: en or de\n",
    "# changing the language may require changing the unit label\n",
    "language = \"de\"\n",
    "unit_label = \"p/100 m\"\n",
    "\n",
    "# the standard date format is \"%Y-%m-%d\" if your date column is\n",
    "# not in this format it will not work.\n",
    "# these dates cover the duration of the IQAASL project\n",
    "start_date = \"2020-03-01\"\n",
    "end_date =\"2021-05-31\"\n",
    "start_end = [start_date, end_date]\n",
    "\n",
    "# the fail rate used to calculate the most common codes is\n",
    "# 50% it can be changed:\n",
    "fail_rate = 50\n",
    "\n",
    "# Changing these variables produces different reports\n",
    "# Call the map image for the area of interest\n",
    "bassin_map = \"resources/maps/walensee_city_labels.jpeg\"\n",
    "\n",
    "# the label for the aggregation of all data in the region\n",
    "top = \"Alle Erhebungsgebiete\"\n",
    "\n",
    "# define the feature level and components\n",
    "# the feature of interest is the Aare (aare) at the river basin (river_bassin) level.\n",
    "# the label for charting is called 'name'\n",
    "this_feature = {'slug':'walensee', 'name':\"Walensee\", 'level':'water_name_slug'}\n",
    "\n",
    "# the lake is in this survey area\n",
    "this_bassin = \"linth\"\n",
    "# label for survey area\n",
    "bassin_label = \"Erhebungsgebiet Linth\"\n",
    "\n",
    "# these are the smallest aggregated components\n",
    "# choices are water_name_slug=lake or river, city or location at the scale of a river bassin \n",
    "# water body or lake maybe the most appropriate\n",
    "this_level = 'city'\n",
    "\n",
    "# the doctitle is the unique name for the url of this document\n",
    "doc_title = \"walensee\"\n",
    "\n",
    "# identify the lakes of interest for the survey area\n",
    "lakes_of_interest = [\"walensee\"]    \n",
    "\n",
    "\n",
    "# !! End note book variables !!\n",
    "## data\n",
    "# Survey location details (GPS, city, land use)\n",
    "dfBeaches = pd.read_csv(\"resources/beaches_with_land_use_rates.csv\")\n",
    "# set the index of the beach data to location slug\n",
    "dfBeaches.set_index(\"slug\", inplace=True)\n",
    "\n",
    "# Survey dimensions and weights\n",
    "dfDims = pd.read_csv(\"resources/corrected_dims.csv\")\n",
    "\n",
    "# code definitions\n",
    "dxCodes = pd.read_csv(\"resources/codes_with_group_names_2015.csv\")\n",
    "dxCodes.set_index(\"code\", inplace=True)\n",
    "\n",
    "# columns that need to be renamed. Setting the language will automatically\n",
    "# change column names, code descriptions and chart annotations\n",
    "columns={\"% to agg\":\"% agg\", \"% to recreation\": \"% recreation\", \"% to woods\":\"% woods\", \"% to buildings\":\"% buildings\", \"p/100m\":\"p/100 m\"}\n",
    "\n",
    "# !key word arguments to construct feature data\n",
    "# !Note the water type allows the selection of river or lakes\n",
    "# if None then the data is aggregated together. This selection\n",
    "# is only valid for survey-area reports or other aggregated data\n",
    "# that may have survey results from both lakes and rivers.\n",
    "fd_kwargs ={\n",
    "    \"filename\": \"resources/checked_sdata_eos_2020_21.csv\",\n",
    "    \"feature_name\": this_feature['slug'], \n",
    "    \"feature_level\": this_feature['level'], \n",
    "    \"these_features\": this_feature['slug'], \n",
    "    \"component\": this_level, \n",
    "    \"columns\": columns, \n",
    "    \"language\": 'de', \n",
    "    \"unit_label\": unit_label, \n",
    "    \"fail_rate\": fail_rate,\n",
    "    \"code_data\":dxCodes,\n",
    "    \"date_range\": start_end,\n",
    "    \"water_type\": None,    \n",
    "}\n",
    "\n",
    "fdx = featuredata.Components(**fd_kwargs)\n",
    "\n",
    "# call the reports and languages\n",
    "fdx.adjustForLanguage()\n",
    "fdx.makeFeatureData()\n",
    "fdx.locationSampleTotals()\n",
    "fdx.makeDailyTotalSummary()\n",
    "fdx.materialSummary()\n",
    "fdx.mostCommon()\n",
    "fdx.codeGroupSummary()\n",
    "\n",
    "# !this is the feature data!\n",
    "fd = fdx.feature_data\n",
    "\n",
    "# !keyword args to build period data\n",
    "# the period data is all the data that was collected\n",
    "# during the same period from all the other locations\n",
    "# not included in the feature data. For a survey area\n",
    "# or river bassin these_features = feature_parent and \n",
    "# feature_level = parent_level\n",
    "period_kwargs = {\n",
    "    \"period_data\": fdx.period_data,\n",
    "    \"these_features\": this_feature['slug'],\n",
    "    \"feature_level\":this_feature['level'],\n",
    "    \"feature_parent\":this_bassin,\n",
    "    \"parent_level\": \"river_bassin\",\n",
    "    \"period_name\": bassin_label,\n",
    "    \"unit_label\": unit_label,\n",
    "    \"most_common\": fdx.most_common.index\n",
    "}\n",
    "period_data = featuredata.PeriodResults(**period_kwargs)\n",
    "\n",
    "# the rivers are considered separately\n",
    "# select only the results from rivers\n",
    "# this can be done by updating the fd_kwargs\n",
    "fd_rivers = fd_kwargs.update({\"water_type\":\"r\"})\n",
    "fdr = featuredata.Components(**fd_kwargs)\n",
    "fdr.makeFeatureData()\n",
    "\n",
    "# collects the summarized values for the feature data\n",
    "# use this to generate the summary data for the survey area\n",
    "# and the section for the rivers\n",
    "admin_kwargs = {\n",
    "    \"data\":fd,\n",
    "    \"dims_data\":dfDims,\n",
    "    \"label\": this_feature[\"name\"],\n",
    "    \"feature_component\": this_level,\n",
    "    \"date_range\":start_end,\n",
    "    **{\"dfBeaches\":dfBeaches}\n",
    "}\n",
    "admin_details = featuredata.AdministrativeSummary(**admin_kwargs)\n",
    "admin_summary = admin_details.summaryObject()\n",
    "\n",
    "# update the admin kwargs with river data to make the river summary\n",
    "admin_kwargs.update({\"data\":fdr.feature_data})\n",
    "admin_r_details = featuredata.AdministrativeSummary(**admin_kwargs)\n",
    "admin_r_summary = admin_r_details.summaryObject()\n",
    "\n",
    "# this defines the css rules for the note-book table displays\n",
    "header_row = {'selector': 'th:nth-child(1)', 'props': f'background-color: #FFF;text-align:right;'}\n",
    "even_rows = {\"selector\": 'tr:nth-child(even)', 'props': f'background-color: rgba(139, 69, 19, 0.08);'}\n",
    "odd_rows = {'selector': 'tr:nth-child(odd)', 'props': 'background: #FFF;'}\n",
    "table_font = {'selector': 'tr', 'props': 'font-size: 12px;'}\n",
    "table_data = {'selector': 'td', 'props': 'padding:6px;'}\n",
    "table_css_styles = [even_rows, odd_rows, table_font, header_row, table_data]\n",
    "\n",
    "# this defines the css rules for the note-book table displays\n",
    "header_row = {'selector': 'th:nth-child(1)', 'props': f'background-color: #FFF;text-align:right;'}\n",
    "table_font = {'selector': 'tr', 'props': 'font-size: 12px;'}\n",
    "table_data = {'selector': 'td', 'props': 'padding:6px;'}\n",
    "heat_map_css_styles = [table_font, header_row, table_data]\n",
    "\n",
    "# this is the numeric formatting for the dimensions table\n",
    "dims_table_formatter = {\n",
    "    \"Plastik (Kg)\": lambda x: featuredata.replaceDecimal(x, language),\n",
    "    \"Gesamtgewicht (Kg)\": lambda x: featuredata.replaceDecimal(x, language),\n",
    "    \"Fläche (m2)\": lambda x: featuredata.thousandsSeparator(int(x), language),\n",
    "    \"Länge (m)\": lambda x: featuredata.thousandsSeparator(int(x), language),\n",
    "    \"Erhebungen\": lambda x: featuredata.thousandsSeparator(int(x), language),\n",
    "    \"Objekte (St.)\": lambda x: featuredata.thousandsSeparator(int(x), language)\n",
    "}\n",
    "\n",
    "# formatting for mpl charts\n",
    "months = mdates.MonthLocator(interval=1)\n",
    "months_fmt = mdates.DateFormatter(\"%b\")\n",
    "days = mdates.DayLocator(interval=7)\n",
    "\n",
    "def convertPixelToCm(file_name: str = None):\n",
    "    im = PILImage.open(file_name)\n",
    "    width, height = im.size\n",
    "    dpi = im.info.get(\"dpi\", (72, 72))\n",
    "    width_cm = width / dpi[0] * 2.54\n",
    "    height_cm = height / dpi[1] * 2.54\n",
    "    \n",
    "    return width_cm, height_cm\n",
    "\n",
    "\n",
    "# pdf download is an option \n",
    "# reportlab is used to produce the document\n",
    "# the arguments for the document are captured at run time\n",
    "# capture for pdf content\n",
    "pdf_link = f'resources/pdfs/{this_feature[\"slug\"]}.pdf'\n",
    "pdfcomponents = []\n",
    "\n",
    "# pdf title and map\n",
    "pdf_title = Paragraph(this_feature[\"name\"], featuredata.title_style)\n",
    "# map_image =  Image(bassin_map, width=cm*19, height=20*cm, kind=\"proportional\", hAlign= \"CENTER\")\n",
    "\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc([\n",
    "    pdf_title,    \n",
    "    featuredata.small_space,\n",
    "   \n",
    "], pdfcomponents)\n",
    "\n",
    "glue(f'{this_feature[\"slug\"]}_pdf_link', pdf_link, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "(walensee)=\n",
    "# Walensee\n",
    "\n",
    "\n",
    "| {Download}`Download </resources/pdfs/walensee.pdf>` | [English](https://www.plagespropres.ch/walensee.html) |"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "jupyter": {
     "source_hidden": true
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     "name": "#%%\n"
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    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Die Erhebungsorte sind für die Analyse nach Erhebungsgebiet gruppiert. Die Grösse der Markierung gibt einen Hinweis auf die Anzahl Abfallobjekte, die gefunden wurden.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_city_map_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/text/plain": "' '"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "blank_caption"
      }
     },
     "output_type": "display_data"
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   ],
   "source": [
    "map_caption = featuredata.defaultMapCaption(language=\"de\")\n",
    "glue(f\"{this_feature['slug']}_city_map_caption\", map_caption, display=False)\n",
    "glue(\"blank_caption\", \" \", display=False)\n",
    "\n",
    "o_w, o_h = convertPixelToCm(bassin_map)\n",
    "\n",
    "f1cap = Paragraph(map_caption, style=featuredata.caption_style)\n",
    "\n",
    "figure_kwargs = {\n",
    "    \"image_file\":bassin_map,\n",
    "    \"caption\": f1cap, \n",
    "    \"original_width\":o_w,\n",
    "    \"original_height\":o_h,\n",
    "    \"desired_width\": 16,\n",
    "    \"caption_height\":.75,\n",
    "    \"hAlign\": \"CENTER\",\n",
    "}\n",
    "\n",
    "f1 = featuredata.figureAndCaptionTable(**figure_kwargs)\n",
    "\n",
    "\n",
    "new_components = [\n",
    "    f1,\n",
    "    featuredata.small_space\n",
    "    \n",
    "]\n",
    "# add those sections\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "```{figure} resources/maps/walensee_city_labels.jpeg\n",
    "---\n",
    "name: walensee_map\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <walensee_map>` {glue:text}`walensee_city_map_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Erhebungsorte"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "jupyter": {
     "source_hidden": true
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    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Im Zeitraum von März 2020  bis Mai 2021 wurden im Rahmen von 31 Datenerhebungen insgesamt 3 694 Objekte entfernt und identifiziert.  Die Ergebnisse des Walensee umfassen 9 Orte, 4 Gemeinden und eine Gesamtbevölkerung von etwa 28 823 Einwohnenden.\n",
       "\n",
       "*Seen*\n",
       "\n",
       ">Walensee\n",
       "\n",
       "*Gemeinden*\n",
       "\n",
       ">Glarus Nord, Quarten, Walenstadt, Weesen\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "an_admin_summary = featuredata.makeAdminSummaryStateMent(start_date, end_date, this_feature[\"name\"], admin_summary=admin_summary)\n",
    "                      \n",
    "# collect component features and land marks\n",
    "feature_components = featuredata.collectComponentLandMarks(admin_details, language=\"de\")\n",
    "\n",
    "# markdown output\n",
    "components_markdown = [f'*{x[0]}*\\n\\n>{x[1]}\\n\\n' for x in feature_components]\n",
    "\n",
    "# add the admin summary to the pdf\n",
    "pdfcomponents = featuredata.addToDoc([\n",
    "    featuredata.smallest_space,\n",
    "    Paragraph(\"Erhebungsorte\", featuredata.section_title), \n",
    "    featuredata.small_space,\n",
    "    Paragraph(an_admin_summary , featuredata.p_style)    \n",
    "], pdfcomponents)\n",
    "\n",
    "# put that all together:\n",
    "lake_string = F\"\"\"\n",
    "{an_admin_summary}\n",
    "\n",
    "{\"\".join(components_markdown)}\n",
    "\"\"\"\n",
    "md(lake_string)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Kumulative Gesamtmengen nach Gemeinden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "jupyter": {
     "source_hidden": true
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    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Walensee: kumulierten Gewichte  und Masse für die Gemeinden'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_dims_table_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/text/html": "<style type=\"text/css\">\n#T_b47d7 tr:nth-child(even) {\n  background-color: rgba(139, 69, 19, 0.08);\n}\n#T_b47d7 tr:nth-child(odd) {\n  background: #FFF;\n}\n#T_b47d7 tr {\n  font-size: 12px;\n}\n#T_b47d7 th:nth-child(1) {\n  background-color: #FFF;\n  text-align: right;\n}\n#T_b47d7 td {\n  padding: 6px;\n}\n</style>\n<table id=\"T_b47d7\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_b47d7_level0_col0\" class=\"col_heading level0 col0\" >Gesamtgewicht (Kg)</th>\n      <th id=\"T_b47d7_level0_col1\" class=\"col_heading level0 col1\" >Plastik (Kg)</th>\n      <th id=\"T_b47d7_level0_col2\" class=\"col_heading level0 col2\" >Fläche (m2)</th>\n      <th id=\"T_b47d7_level0_col3\" class=\"col_heading level0 col3\" >Länge (m)</th>\n      <th id=\"T_b47d7_level0_col4\" class=\"col_heading level0 col4\" >Erhebungen</th>\n      <th id=\"T_b47d7_level0_col5\" class=\"col_heading level0 col5\" >Objekte (St.)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_b47d7_level0_row0\" class=\"row_heading level0 row0\" >Walensee</th>\n      <td id=\"T_b47d7_row0_col0\" class=\"data row0 col0\" >10,99</td>\n      <td id=\"T_b47d7_row0_col1\" class=\"data row0 col1\" >6,69</td>\n      <td id=\"T_b47d7_row0_col2\" class=\"data row0 col2\" >13 236</td>\n      <td id=\"T_b47d7_row0_col3\" class=\"data row0 col3\" >2 225</td>\n      <td id=\"T_b47d7_row0_col4\" class=\"data row0 col4\" >31</td>\n      <td id=\"T_b47d7_row0_col5\" class=\"data row0 col5\" >3 694</td>\n    </tr>\n    <tr>\n      <th id=\"T_b47d7_level0_row1\" class=\"row_heading level0 row1\" >Walenstadt</th>\n      <td id=\"T_b47d7_row1_col0\" class=\"data row1 col0\" >6,9</td>\n      <td id=\"T_b47d7_row1_col1\" class=\"data row1 col1\" >4,9</td>\n      <td id=\"T_b47d7_row1_col2\" class=\"data row1 col2\" >5 851</td>\n      <td id=\"T_b47d7_row1_col3\" class=\"data row1 col3\" >854</td>\n      <td id=\"T_b47d7_row1_col4\" class=\"data row1 col4\" >13</td>\n      <td id=\"T_b47d7_row1_col5\" class=\"data row1 col5\" >2 558</td>\n    </tr>\n    <tr>\n      <th id=\"T_b47d7_level0_row2\" class=\"row_heading level0 row2\" >Weesen</th>\n      <td id=\"T_b47d7_row2_col0\" class=\"data row2 col0\" >2,18</td>\n      <td id=\"T_b47d7_row2_col1\" class=\"data row2 col1\" >1,34</td>\n      <td id=\"T_b47d7_row2_col2\" class=\"data row2 col2\" >5 960</td>\n      <td id=\"T_b47d7_row2_col3\" class=\"data row2 col3\" >1 118</td>\n      <td id=\"T_b47d7_row2_col4\" class=\"data row2 col4\" >13</td>\n      <td id=\"T_b47d7_row2_col5\" class=\"data row2 col5\" >956</td>\n    </tr>\n    <tr>\n      <th id=\"T_b47d7_level0_row3\" class=\"row_heading level0 row3\" >Quarten</th>\n      <td id=\"T_b47d7_row3_col0\" class=\"data row3 col0\" >1,64</td>\n      <td id=\"T_b47d7_row3_col1\" class=\"data row3 col1\" >0,32</td>\n      <td id=\"T_b47d7_row3_col2\" class=\"data row3 col2\" >513</td>\n      <td id=\"T_b47d7_row3_col3\" class=\"data row3 col3\" >165</td>\n      <td id=\"T_b47d7_row3_col4\" class=\"data row3 col4\" >3</td>\n      <td id=\"T_b47d7_row3_col5\" class=\"data row3 col5\" >113</td>\n    </tr>\n    <tr>\n      <th id=\"T_b47d7_level0_row4\" class=\"row_heading level0 row4\" >Glarus Nord</th>\n      <td id=\"T_b47d7_row4_col0\" class=\"data row4 col0\" >0,26</td>\n      <td id=\"T_b47d7_row4_col1\" class=\"data row4 col1\" >0,14</td>\n      <td id=\"T_b47d7_row4_col2\" class=\"data row4 col2\" >912</td>\n      <td id=\"T_b47d7_row4_col3\" class=\"data row4 col3\" >88</td>\n      <td id=\"T_b47d7_row4_col4\" class=\"data row4 col4\" >2</td>\n      <td id=\"T_b47d7_row4_col5\" class=\"data row4 col5\" >67</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7fe7a4022700>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_dims_table"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# the .pdf output is generated in parallel\n",
    "# this is the same as if it were on the backend where we would\n",
    "# have a specific api endpoint for .pdf requests. \n",
    "dims_table = admin_details.dimensionalSummary()\n",
    "dims_table.sort_values(by=[\"quantity\"], ascending=False, inplace=True)\n",
    "\n",
    "# apply language\n",
    "dims_table.rename(columns=featuredata.dims_table_columns_de, inplace=True)\n",
    "\n",
    "# convert to kilos\n",
    "dims_table[\"Plastik (Kg)\"] = dims_table[\"Plastik (Kg)\"]/1000\n",
    "\n",
    "# save a copy of the dims_table for working\n",
    "# formattinr to pdf will turn the numerics to strings\n",
    "# which eliminates any further calclations\n",
    "dims_df =  dims_table.copy()\n",
    "\n",
    "# these columns need formatting for locale\n",
    "thousands_separated = [\"Fläche (m2)\", \"Länge (m)\", \"Erhebungen\", \"Objekte (St.)\"]\n",
    "replace_decimal = [\"Plastik (Kg)\", \"Gesamtgewicht (Kg)\"]\n",
    "\n",
    "# format the dimensional summary for .pdf and add to components\n",
    "dims_table[thousands_separated] = dims_table[thousands_separated].applymap(lambda x: featuredata.thousandsSeparator(int(x), \"de\"))\n",
    "dims_table[replace_decimal] = dims_table[replace_decimal].applymap(lambda x: featuredata.replaceDecimal(str(round(x,2))))\n",
    "\n",
    "# a caption for the figure\n",
    "dims_table_caption = f'{this_feature[\"name\"]}: kumulierten Gewichte  und Masse für die Gemeinden'\n",
    "\n",
    "# pdf components                 \n",
    "d_chart = featuredata.aSingleStyledTable(dims_table, colWidths=[3.5*cm, 3*cm, *[2.2*cm]*(len(dims_table.columns)-1)])\n",
    "d_capt = Paragraph(dims_table_caption, featuredata.caption_style)\n",
    "a_dims_table = featuredata.tableAndCaption(d_chart, d_capt, [3.5*cm, 3*cm, *[2.2*cm]*(len(dims_table.columns)-2)])\n",
    "\n",
    "new_components = [\n",
    "    featuredata.smallest_space,\n",
    "    a_dims_table\n",
    "]\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "# this formats the table through the data frame\n",
    "dims_df[\"Plastik (Kg)\"] = dims_df[\"Plastik (Kg)\"].round(2)\n",
    "dims_df[\"Gesamtgewicht (Kg)\"] = dims_df[\"Gesamtgewicht (Kg)\"].round(2)\n",
    "dims_df[thousands_separated] = dims_df[thousands_separated].astype(\"int\")\n",
    "\n",
    "# set the index name to None so it doesn't show in the columns\n",
    "dims_df.index.name = None\n",
    "dims_df.columns.name = None\n",
    "\n",
    "\n",
    "# use the caption from the .pdf for the online figure\n",
    "glue(\"walensee_dims_table_caption\",dims_table_caption, display=False)\n",
    "\n",
    "# apply formatting and styles to dataframe\n",
    "q = dims_df.style.format(formatter=dims_table_formatter).set_table_styles(table_css_styles)\n",
    "\n",
    "# capture the figure before display and give it a reference number and caption\n",
    "figure_name=f'{this_feature[\"slug\"]}_dims_table'\n",
    "glue(figure_name, q, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} walensee_dims_table\n",
    "---\n",
    "name: 'walensee_dims_table'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <walensee_dims_table>` {glue:text}`walensee_dims_table_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Verteilung der Erhebungsergebnisse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Links: Walensee, März 2020 bis Mai 2021, n = 31. Rechts: empirische Verteilungsfunktion der Erhebungsergebnisse Walensee.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_sample_total_notes"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/image/png": 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",
      "application/papermill.record/text/plain": "<Figure size 1000x500 with 2 Axes>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_sample_totals"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# figure caption\n",
    "sample_total_notes = f'Links: {this_feature[\"name\"]}, {featuredata.dateToYearAndMonth(datetime.strptime(start_date, date_format), lang=date_lang)} bis {featuredata.dateToYearAndMonth(datetime.strptime(end_date, date_format), lang=date_lang)}, n = {admin_summary[\"loc_date\"]}. Rechts: empirische Verteilungsfunktion der Erhebungsergebnisse {this_feature[\"name\"]}.'\n",
    "glue(f'{this_feature[\"slug\"]}_sample_total_notes', sample_total_notes, display=False)\n",
    "\n",
    "dx = period_data.parentSampleTotals(parent=False)\n",
    "\n",
    "# get the monthly or quarterly results for the feature\n",
    "rsmp = fdx.sample_totals.set_index(\"date\")\n",
    "resample_plot, rate = featuredata.quarterlyOrMonthlyValues(rsmp, this_feature[\"name\"], vals=unit_label)\n",
    "\n",
    "fig, axs = plt.subplots(1,2, figsize=(10,5))\n",
    "\n",
    "# the survey totals by day\n",
    "ax = axs[0]\n",
    "\n",
    "# feature surveys\n",
    "sns.scatterplot(data=dx, x=\"date\", y=unit_label, label=top, color=\"black\", alpha=0.4,  ax=ax)\n",
    "# all other surveys\n",
    "sns.scatterplot(data=fdx.sample_totals, x=\"date\", y=unit_label, label=this_feature[\"name\"], color=\"red\", s=34, ec=\"white\", ax=ax)\n",
    "# monthly or quaterly plot\n",
    "sns.lineplot(data=resample_plot, x=resample_plot.index, y=resample_plot, label=F\"{this_feature['name']}: monatlicher Medianwert\", color=\"magenta\", ax=ax)\n",
    "# axis formatting\n",
    "ax.set_ylabel(unit_label, **featuredata.xlab_k14)\n",
    "ax.set_xlabel(\"\")\n",
    "ax.xaxis.set_minor_locator(days)\n",
    "ax.xaxis.set_major_formatter(months_fmt)\n",
    "ax.set_ylim(-50, 2000)\n",
    "# call the legend\n",
    "ax.legend()\n",
    "\n",
    "# the cumlative distributions:\n",
    "axtwo = axs[1]\n",
    "\n",
    "# the feature of interest\n",
    "feature_ecd = featuredata.ecdfOfAColumn(fdx.sample_totals, unit_label)    \n",
    "sns.lineplot(x=feature_ecd[\"x\"], y=feature_ecd[\"y\"], color=\"darkblue\", ax=axtwo, label=this_feature[\"name\"])\n",
    "\n",
    "# the other features\n",
    "other_features = featuredata.ecdfOfAColumn(dx, unit_label)\n",
    "sns.lineplot(x=other_features[\"x\"], y=other_features[\"y\"], color=\"magenta\", label=top, linewidth=1, ax=axtwo)\n",
    "\n",
    "axtwo.set_xlabel(unit_label, **featuredata.xlab_k14)\n",
    "axtwo.set_ylabel(\"Verhältnis der Erhebungen\", **featuredata.xlab_k14)\n",
    "axtwo.set_xlim(0, 3000)\n",
    "\n",
    "axtwo.xaxis.set_major_locator(MultipleLocator(500))\n",
    "axtwo.xaxis.set_minor_locator(MultipleLocator(100))\n",
    "axtwo.yaxis.set_major_locator(MultipleLocator(.1))\n",
    "axtwo.grid(which=\"minor\", visible=True, axis=\"x\", linestyle=\"--\", linewidth=1)\n",
    "\n",
    "figure_name = \"walensee_sample_totals\"\n",
    "sample_totals_file_name = f'{save_fig_prefix}{figure_name}.jpeg'\n",
    "save_figure_kwargs.update({\"fname\":sample_totals_file_name})\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(**save_figure_kwargs)\n",
    "glue(f'{this_feature[\"slug\"]}_sample_totals', fig, display=False)\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} walensee_sample_totals\n",
    "---\n",
    "name: 'walensee_sample_totals'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <walensee_sample_totals>` {glue:text}`walensee_sample_total_notes`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Zusammengefasste Daten und Materialarten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Zusammenfassung der Daten aller Erhebungen am Walensee. Gefundene Materialarten am Walensee in Stückzahlen und als prozentuale Anteile (stückzahlbezogen).'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_sample_summaries_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/image/png": 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",
      "application/papermill.record/text/plain": "<Figure size 700x360 with 2 Axes>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_sample_summaries"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# figure caption\n",
    "summary_of_survey_totals = f'Zusammenfassung der Daten aller Erhebungen am {this_feature[\"name\"]}. Gefundene Materialarten am {this_feature[\"name\"]} in Stückzahlen und als prozentuale Anteile (stückzahlbezogen).'\n",
    "\n",
    "# add to pdf\n",
    "csx = fdx.sample_summary.copy()\n",
    "combined_summary =[(x, featuredata.thousandsSeparator(int(csx[x]), language)) for x in csx.index]\n",
    "\n",
    "# the materials table\n",
    "fd_mat_totals = fdx.material_summary.copy()\n",
    "fd_mat_totals = featuredata.fmtPctOfTotal(fd_mat_totals, around=0)\n",
    "\n",
    "# applly new column names for printing\n",
    "cols_to_use = {\"material\":\"Material\",\"quantity\":\"Objekte (St.)\", \"% of total\":\"Anteil\"}\n",
    "fd_mat_t = fd_mat_totals[cols_to_use.keys()].values\n",
    "fd_mat_t = [(x[0], featuredata.thousandsSeparator(int(x[1]), language), x[2]) for x in fd_mat_t]\n",
    "\n",
    "# make tables\n",
    "fig, axs = plt.subplots(1,2, figsize=(7, len(combined_summary)*.4))\n",
    "\n",
    "# summary table\n",
    "# names for the table columns\n",
    "a_col = [this_feature[\"name\"], \"Total\"]\n",
    "\n",
    "axone = axs[0]\n",
    "sut.hide_spines_ticks_grids(axone)\n",
    "\n",
    "table_two = sut.make_a_table(axone, combined_summary,  colLabels=a_col, colWidths=[.75,.25],  bbox=[0,0,1,1], **{\"loc\":\"lower center\"})\n",
    "table_two.get_celld()[(0,0)].get_text().set_text(\" \")\n",
    "table_two.set_fontsize(10)\n",
    "\n",
    "# material table\n",
    "axtwo = axs[1]\n",
    "axtwo.set_xlabel(\" \")\n",
    "sut.hide_spines_ticks_grids(axtwo)\n",
    "\n",
    "table_three = sut.make_a_table(axtwo, fd_mat_t,  colLabels=list(cols_to_use.values()), colWidths=[.4, .4,.2],  bbox=[0,0,1,1], **{\"loc\":\"lower center\"})\n",
    "table_three.get_celld()[(0,0)].get_text().set_text(\" \")\n",
    "table_three.set_fontsize(10)\n",
    "plt.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "plt.margins(0, 0)\n",
    "figure_name = f'{this_feature[\"slug\"]}_sample_summaries'\n",
    "sample_summaries_file_name = f'{save_fig_prefix}{figure_name}.jpeg'\n",
    "save_figure_kwargs.update({\"fname\":sample_summaries_file_name})\n",
    "\n",
    "plt.savefig(**save_figure_kwargs)\n",
    "\n",
    "glue(f'{this_feature[\"slug\"]}_sample_summaries_caption', summary_of_survey_totals, display=False)\n",
    "glue(figure_name, fig, display=False)\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} walensee_sample_summaries\n",
    "---\n",
    "name: 'walensee_sample_summaries'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <walensee_sample_summaries>` {glue:text}`walensee_sample_summaries_caption` "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Die am häufigsten gefundenen Objekte\n",
    "\n",
    "Die am häufigsten gefundenen Objekte sind die zehn mengenmässig am meisten vorkommenden Objekte und/oder Objekte, die in mindestens 50 % aller Datenerhebungen identifiziert wurden (Häufigkeitsrate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Häufigste Objekte im Walensee: d. h. Objekte mit einer Häufigkeitsrate von mindestens 50% und/oder Top Ten nach Anzahl. Zusammengenommen machen die häufigsten Objekte 75% aller gefundenen Objekte aus. Anmerkung: p/100 m = Medianwert der Erhebung.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_most_common_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/text/html": "<style type=\"text/css\">\n#T_2fdb2 tr:nth-child(even) {\n  background-color: rgba(139, 69, 19, 0.08);\n}\n#T_2fdb2 tr:nth-child(odd) {\n  background: #FFF;\n}\n#T_2fdb2 tr {\n  font-size: 12px;\n}\n#T_2fdb2 th:nth-child(1) {\n  background-color: #FFF;\n  text-align: right;\n}\n#T_2fdb2 td {\n  padding: 6px;\n}\n</style>\n<table id=\"T_2fdb2\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_2fdb2_level0_col0\" class=\"col_heading level0 col0\" >Objekte (St.)</th>\n      <th id=\"T_2fdb2_level0_col1\" class=\"col_heading level0 col1\" >Anteil</th>\n      <th id=\"T_2fdb2_level0_col2\" class=\"col_heading level0 col2\" >Häufigkeitsrate</th>\n      <th id=\"T_2fdb2_level0_col3\" class=\"col_heading level0 col3\" >p/100 m</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_2fdb2_level0_row0\" class=\"row_heading level0 row0\" >Expandiertes Polystyrol</th>\n      <td id=\"T_2fdb2_row0_col0\" class=\"data row0 col0\" >718</td>\n      <td id=\"T_2fdb2_row0_col1\" class=\"data row0 col1\" >19%</td>\n      <td id=\"T_2fdb2_row0_col2\" class=\"data row0 col2\" >93%</td>\n      <td id=\"T_2fdb2_row0_col3\" class=\"data row0 col3\" >9,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row1\" class=\"row_heading level0 row1\" >Zigarettenfilter</th>\n      <td id=\"T_2fdb2_row1_col0\" class=\"data row1 col0\" >657</td>\n      <td id=\"T_2fdb2_row1_col1\" class=\"data row1 col1\" >17%</td>\n      <td id=\"T_2fdb2_row1_col2\" class=\"data row1 col2\" >96%</td>\n      <td id=\"T_2fdb2_row1_col3\" class=\"data row1 col3\" >19,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row2\" class=\"row_heading level0 row2\" >Fragmentierte Kunststoffe</th>\n      <td id=\"T_2fdb2_row2_col0\" class=\"data row2 col0\" >445</td>\n      <td id=\"T_2fdb2_row2_col1\" class=\"data row2 col1\" >12%</td>\n      <td id=\"T_2fdb2_row2_col2\" class=\"data row2 col2\" >87%</td>\n      <td id=\"T_2fdb2_row2_col3\" class=\"data row2 col3\" >12,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row3\" class=\"row_heading level0 row3\" >Industriefolie (Kunststoff)</th>\n      <td id=\"T_2fdb2_row3_col0\" class=\"data row3 col0\" >310</td>\n      <td id=\"T_2fdb2_row3_col1\" class=\"data row3 col1\" >8%</td>\n      <td id=\"T_2fdb2_row3_col2\" class=\"data row3 col2\" >87%</td>\n      <td id=\"T_2fdb2_row3_col3\" class=\"data row3 col3\" >5,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row4\" class=\"row_heading level0 row4\" >Snack-Verpackungen</th>\n      <td id=\"T_2fdb2_row4_col0\" class=\"data row4 col0\" >160</td>\n      <td id=\"T_2fdb2_row4_col1\" class=\"data row4 col1\" >4%</td>\n      <td id=\"T_2fdb2_row4_col2\" class=\"data row4 col2\" >80%</td>\n      <td id=\"T_2fdb2_row4_col3\" class=\"data row4 col3\" >6,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row5\" class=\"row_heading level0 row5\" >Schaumstoffverpackungen/Isolierung</th>\n      <td id=\"T_2fdb2_row5_col0\" class=\"data row5 col0\" >156</td>\n      <td id=\"T_2fdb2_row5_col1\" class=\"data row5 col1\" >4%</td>\n      <td id=\"T_2fdb2_row5_col2\" class=\"data row5 col2\" >61%</td>\n      <td id=\"T_2fdb2_row5_col3\" class=\"data row5 col3\" >4,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row6\" class=\"row_heading level0 row6\" >Styropor < 5mm</th>\n      <td id=\"T_2fdb2_row6_col0\" class=\"data row6 col0\" >107</td>\n      <td id=\"T_2fdb2_row6_col1\" class=\"data row6 col1\" >2%</td>\n      <td id=\"T_2fdb2_row6_col2\" class=\"data row6 col2\" >45%</td>\n      <td id=\"T_2fdb2_row6_col3\" class=\"data row6 col3\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row7\" class=\"row_heading level0 row7\" >Kunststoff-Bauabfälle</th>\n      <td id=\"T_2fdb2_row7_col0\" class=\"data row7 col0\" >71</td>\n      <td id=\"T_2fdb2_row7_col1\" class=\"data row7 col1\" >1%</td>\n      <td id=\"T_2fdb2_row7_col2\" class=\"data row7 col2\" >64%</td>\n      <td id=\"T_2fdb2_row7_col3\" class=\"data row7 col3\" >2,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row8\" class=\"row_heading level0 row8\" > Getränkeflaschen aus Glas, Glasfragmente</th>\n      <td id=\"T_2fdb2_row8_col0\" class=\"data row8 col0\" >59</td>\n      <td id=\"T_2fdb2_row8_col1\" class=\"data row8 col1\" >1%</td>\n      <td id=\"T_2fdb2_row8_col2\" class=\"data row8 col2\" >61%</td>\n      <td id=\"T_2fdb2_row8_col3\" class=\"data row8 col3\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row9\" class=\"row_heading level0 row9\" >Kunststofffragmente eckig <5mm</th>\n      <td id=\"T_2fdb2_row9_col0\" class=\"data row9 col0\" >41</td>\n      <td id=\"T_2fdb2_row9_col1\" class=\"data row9 col1\" >1%</td>\n      <td id=\"T_2fdb2_row9_col2\" class=\"data row9 col2\" >22%</td>\n      <td id=\"T_2fdb2_row9_col3\" class=\"data row9 col3\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row10\" class=\"row_heading level0 row10\" >Ringe von Plastikflaschen/Behältern</th>\n      <td id=\"T_2fdb2_row10_col0\" class=\"data row10 col0\" >32</td>\n      <td id=\"T_2fdb2_row10_col1\" class=\"data row10 col1\" >0%</td>\n      <td id=\"T_2fdb2_row10_col2\" class=\"data row10 col2\" >61%</td>\n      <td id=\"T_2fdb2_row10_col3\" class=\"data row10 col3\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_2fdb2_level0_row11\" class=\"row_heading level0 row11\" >Kronkorken, Lasche von Dose/Ausfreisslachen</th>\n      <td id=\"T_2fdb2_row11_col0\" class=\"data row11 col0\" >31</td>\n      <td id=\"T_2fdb2_row11_col1\" class=\"data row11 col1\" >0%</td>\n      <td id=\"T_2fdb2_row11_col2\" class=\"data row11 col2\" >54%</td>\n      <td id=\"T_2fdb2_row11_col3\" class=\"data row11 col3\" >1,0</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7fe70f309ca0>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_most_common_tables"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# add summary tables to pdf\n",
    "sample_summary_subsection = Paragraph(\"Verteilung der Erhebungsergebnisse\", featuredata.subsection_title)\n",
    "s_totals = Image(sample_totals_file_name, width=16*cm, height=10*cm, kind=\"proportional\", hAlign= \"CENTER\")\n",
    "s_totals_caption = Paragraph(sample_total_notes, featuredata.caption_style)\n",
    "samp_mat_subsection = Paragraph(\"Zusammengefasste Daten und Materialarten\", featuredata.subsection_title)\n",
    "samp_material_table = Image(sample_summaries_file_name , width=12*cm, height=10*cm, kind=\"proportional\", hAlign= \"CENTER\")\n",
    "samp_material_caption = Paragraph(summary_of_survey_totals, featuredata.caption_style)\n",
    "\n",
    "o_w, o_h = convertPixelToCm(sample_totals_file_name)\n",
    "\n",
    "f2cap = Paragraph(sample_total_notes, featuredata.caption_style)\n",
    "\n",
    "figure_kwargs = {\n",
    "    \"image_file\":sample_totals_file_name,\n",
    "    \"caption\": f2cap, \n",
    "    \"original_width\":o_w,\n",
    "    \"original_height\":o_h,\n",
    "    \"desired_width\": 15,\n",
    "    \"caption_height\":.75,\n",
    "    \"hAlign\": \"CENTER\",\n",
    "}\n",
    "\n",
    "f2 = featuredata.figureAndCaptionTable(**figure_kwargs)\n",
    "\n",
    "o_w, o_h = convertPixelToCm(sample_summaries_file_name)\n",
    "\n",
    "f3cap = Paragraph(summary_of_survey_totals, featuredata.caption_style)\n",
    "\n",
    "figure_kwargs = {\n",
    "    \"image_file\":sample_summaries_file_name,\n",
    "    \"caption\": f3cap, \n",
    "    \"original_width\":o_w,\n",
    "    \"original_height\":o_h,\n",
    "    \"desired_width\": 12,\n",
    "    \"caption_height\":.75,\n",
    "    \"hAlign\": \"CENTER\",\n",
    "}\n",
    "\n",
    "f3 = featuredata.figureAndCaptionTable(**figure_kwargs)\n",
    "\n",
    "new_components = [KeepTogether([\n",
    "    featuredata.small_space,\n",
    "    sample_summary_subsection,\n",
    "    featuredata.small_space,\n",
    "    f2,\n",
    "    featuredata.small_space,\n",
    "    samp_mat_subsection,\n",
    "    featuredata.small_space,\n",
    "    f3,\n",
    "    \n",
    "]), PageBreak()]\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "# the most common results\n",
    "most_common_display = fdx.most_common\n",
    "\n",
    "# language appropriate columns\n",
    "cols_to_use = featuredata.most_common_objects_table_de\n",
    "cols_to_use.update({unit_label:unit_label})\n",
    "\n",
    "# data for display\n",
    "most_common_display.rename(columns=cols_to_use, inplace=True)\n",
    "most_common_display = most_common_display[cols_to_use.values()].copy()\n",
    "most_common_display = most_common_display.set_index(\"Objekte\", drop=True)\n",
    "\n",
    "# .pdf output\n",
    "data = most_common_display.copy()\n",
    "data[\"Anteil\"] = data[\"Anteil\"].map(lambda x: f\"{int(x)}%\")\n",
    "data['Objekte (St.)'] = data['Objekte (St.)'].map(lambda x:featuredata.thousandsSeparator(x, language))\n",
    "data['Häufigkeitsrate'] = data['Häufigkeitsrate'].map(lambda x: f\"{x}%\")\n",
    "data[unit_label] = data[unit_label].map(lambda x: featuredata.replaceDecimal(round(x,1)))\n",
    "\n",
    "# make caption\n",
    "# get percent of total to make the caption string\n",
    "m_common_percent_of_total = fdx.most_common['Objekte (St.)'].sum()/fdx.code_summary['quantity'].sum()\n",
    "\n",
    "mc_caption_string = [\n",
    "    f'Häufigste Objekte im {this_feature[\"name\"]}: ',\n",
    "    'd. h. Objekte mit einer Häufigkeitsrate von mindestens 50% und/oder ',\n",
    "    f'Top Ten nach Anzahl. Zusammengenommen machen die häufigsten Objekte {int(m_common_percent_of_total*100)}% ',\n",
    "    f'aller gefundenen Objekte aus. Anmerkung: {unit_label} = Medianwert der Erhebung.'\n",
    "]\n",
    "\n",
    "mc_caption_string = \"\".join(mc_caption_string)\n",
    "\n",
    "colwidths = [4.5*cm, 2.2*cm, 2*cm, 2.8*cm, 2*cm]\n",
    "\n",
    "# pdf_mc_table  = featuredata.aStyledTable(data, caption=mc_caption_string, colWidths=[4.5*cm, 2.2*cm, 2*cm, 2.8*cm, 2*cm])\n",
    "d_chart = featuredata.aSingleStyledTable(data, colWidths=colwidths)\n",
    "d_capt = Paragraph(mc_caption_string, featuredata.caption_style)\n",
    "mc_table = featuredata.tableAndCaption(d_chart, d_capt, colwidths)\n",
    "most_common_display.index.name = None\n",
    "most_common_display.columns.name = None\n",
    "\n",
    "# set pandas display\n",
    "aformatter = {\n",
    "    \"Anteil\":lambda x: f\"{int(x)}%\",\n",
    "    f\"{unit_label}\": lambda x: featuredata.replaceDecimal(x, \"de\"),\n",
    "    \"Häufigkeitsrate\": lambda x: f\"{int(x)}%\",   \n",
    "    \"Objekte (St.)\": lambda x: featuredata.thousandsSeparator(int(x), \"de\")\n",
    "}\n",
    "\n",
    "mcd = most_common_display.style.format(aformatter).set_table_styles(table_css_styles)\n",
    "glue('walensee_most_common_caption', mc_caption_string, display=False)\n",
    "glue('walensee_most_common_tables', mcd, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} walensee_most_common_tables\n",
    "---\n",
    "name: 'walensee_most_common_tables'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <walensee_most_common_tables>` {glue:text}`walensee_most_common_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Die am häufigsten gefundenen Objekte nach Gemeinden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Median p/100 m der häufigsten Objekte am Walensee.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_mc_heat_map_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/text/html": "<style type=\"text/css\">\n#T_e10bd tr {\n  font-size: 12px;\n}\n#T_e10bd th:nth-child(1) {\n  background-color: #FFF;\n  text-align: right;\n}\n#T_e10bd td {\n  padding: 6px;\n}\n#T_e10bd_row0_col0, #T_e10bd_row2_col0, #T_e10bd_row4_col0 {\n  background-color: #fffddc;\n  color: #000000;\n}\n#T_e10bd_row0_col1 {\n  background-color: #feda7e;\n  color: #000000;\n}\n#T_e10bd_row0_col2, #T_e10bd_row0_col6, #T_e10bd_row1_col1, #T_e10bd_row1_col5, #T_e10bd_row3_col3, #T_e10bd_row7_col0 {\n  background-color: #fffbd2;\n  color: #000000;\n}\n#T_e10bd_row0_col3, #T_e10bd_row4_col1, #T_e10bd_row5_col1, #T_e10bd_row5_col3, #T_e10bd_row5_col5, #T_e10bd_row6_col0, #T_e10bd_row6_col1, #T_e10bd_row6_col2, #T_e10bd_row6_col3, #T_e10bd_row6_col4, #T_e10bd_row6_col5, #T_e10bd_row6_col6, #T_e10bd_row7_col5, #T_e10bd_row7_col6, #T_e10bd_row8_col1, #T_e10bd_row8_col5, #T_e10bd_row9_col1, #T_e10bd_row10_col0, #T_e10bd_row10_col1, #T_e10bd_row10_col3, #T_e10bd_row10_col4, #T_e10bd_row10_col5, #T_e10bd_row10_col6 {\n  background-color: #ffffe5;\n  color: #000000;\n}\n#T_e10bd_row0_col4, #T_e10bd_row3_col1, #T_e10bd_row4_col2, #T_e10bd_row4_col3, #T_e10bd_row4_col4, #T_e10bd_row4_col5, #T_e10bd_row4_col6, #T_e10bd_row5_col6, #T_e10bd_row7_col1, #T_e10bd_row7_col3, #T_e10bd_row7_col4, #T_e10bd_row8_col6 {\n  background-color: #fffedf;\n  color: #000000;\n}\n#T_e10bd_row0_col5, #T_e10bd_row8_col3, #T_e10bd_row8_col4, #T_e10bd_row10_col2 {\n  background-color: #fffacb;\n  color: #000000;\n}\n#T_e10bd_row1_col0, #T_e10bd_row9_col0 {\n  background-color: #fff8c1;\n  color: #000000;\n}\n#T_e10bd_row1_col2 {\n  background-color: #662506;\n  color: #f1f1f1;\n}\n#T_e10bd_row1_col3 {\n  background-color: #fff1b0;\n  color: #000000;\n}\n#T_e10bd_row1_col4, #T_e10bd_row2_col3, #T_e10bd_row9_col6 {\n  background-color: #ffeea8;\n  color: #000000;\n}\n#T_e10bd_row1_col6, #T_e10bd_row3_col4, #T_e10bd_row3_col6 {\n  background-color: #fff8c4;\n  color: #000000;\n}\n#T_e10bd_row2_col1, #T_e10bd_row11_col1 {\n  background-color: #fff4b6;\n  color: #000000;\n}\n#T_e10bd_row2_col2 {\n  background-color: #da5c0a;\n  color: #f1f1f1;\n}\n#T_e10bd_row2_col4 {\n  background-color: #fee493;\n  color: #000000;\n}\n#T_e10bd_row2_col5 {\n  background-color: #fee99e;\n  color: #000000;\n}\n#T_e10bd_row2_col6 {\n  background-color: #fec652;\n  color: #000000;\n}\n#T_e10bd_row3_col0, #T_e10bd_row8_col2, #T_e10bd_row9_col2 {\n  background-color: #feeaa1;\n  color: #000000;\n}\n#T_e10bd_row3_col2 {\n  background-color: #fecb5f;\n  color: #000000;\n}\n#T_e10bd_row3_col5, #T_e10bd_row5_col4, #T_e10bd_row7_col2, #T_e10bd_row8_col0 {\n  background-color: #fffcd8;\n  color: #000000;\n}\n#T_e10bd_row5_col0 {\n  background-color: #fff3b2;\n  color: #000000;\n}\n#T_e10bd_row5_col2, #T_e10bd_row9_col3, #T_e10bd_row9_col4, #T_e10bd_row9_col5 {\n  background-color: #fff7bd;\n  color: #000000;\n}\n#T_e10bd_row11_col0 {\n  background-color: #fed87a;\n  color: #000000;\n}\n#T_e10bd_row11_col2 {\n  background-color: #d55607;\n  color: #f1f1f1;\n}\n#T_e10bd_row11_col3, #T_e10bd_row11_col4 {\n  background-color: #febf4b;\n  color: #000000;\n}\n#T_e10bd_row11_col5 {\n  background-color: #fea332;\n  color: #000000;\n}\n#T_e10bd_row11_col6 {\n  background-color: #feb945;\n  color: #000000;\n}\n#T_e10bd_level0_col0, #T_e10bd_level0_col1, #T_e10bd_level0_col2, #T_e10bd_level0_col3, #T_e10bd_level0_col4, #T_e10bd_level0_col5, #T_e10bd_level0_col6 {\n  writing-mode: vertical-lr;\n  transform: rotate(-180deg);\n  padding: 10px;\n  margins: 0;\n  vertical-align: baseline;\n}\n</style>\n<table id=\"T_e10bd\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_e10bd_level0_col0\" class=\"col_heading level0 col0\" >Glarus Nord</th>\n      <th id=\"T_e10bd_level0_col1\" class=\"col_heading level0 col1\" >Quarten</th>\n      <th id=\"T_e10bd_level0_col2\" class=\"col_heading level0 col2\" >Walenstadt</th>\n      <th id=\"T_e10bd_level0_col3\" class=\"col_heading level0 col3\" >Weesen</th>\n      <th id=\"T_e10bd_level0_col4\" class=\"col_heading level0 col4\" >Walensee</th>\n      <th id=\"T_e10bd_level0_col5\" class=\"col_heading level0 col5\" >Erhebungsgebiet Linth</th>\n      <th id=\"T_e10bd_level0_col6\" class=\"col_heading level0 col6\" >Alle Erhebungsgebiete</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_e10bd_level0_row0\" class=\"row_heading level0 row0\" > Getränkeflaschen aus Glas, Glasfragmente</th>\n      <td id=\"T_e10bd_row0_col0\" class=\"data row0 col0\" >1,5</td>\n      <td id=\"T_e10bd_row0_col1\" class=\"data row0 col1\" >14,0</td>\n      <td id=\"T_e10bd_row0_col2\" class=\"data row0 col2\" >3,0</td>\n      <td id=\"T_e10bd_row0_col3\" class=\"data row0 col3\" >0,0</td>\n      <td id=\"T_e10bd_row0_col4\" class=\"data row0 col4\" >1,0</td>\n      <td id=\"T_e10bd_row0_col5\" class=\"data row0 col5\" >4,0</td>\n      <td id=\"T_e10bd_row0_col6\" class=\"data row0 col6\" >3,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row1\" class=\"row_heading level0 row1\" >Expandiertes Polystyrol</th>\n      <td id=\"T_e10bd_row1_col0\" class=\"data row1 col0\" >5,5</td>\n      <td id=\"T_e10bd_row1_col1\" class=\"data row1 col1\" >3,0</td>\n      <td id=\"T_e10bd_row1_col2\" class=\"data row1 col2\" >49,0</td>\n      <td id=\"T_e10bd_row1_col3\" class=\"data row1 col3\" >8,0</td>\n      <td id=\"T_e10bd_row1_col4\" class=\"data row1 col4\" >9,0</td>\n      <td id=\"T_e10bd_row1_col5\" class=\"data row1 col5\" >3,0</td>\n      <td id=\"T_e10bd_row1_col6\" class=\"data row1 col6\" >5,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row2\" class=\"row_heading level0 row2\" >Fragmentierte Kunststoffe</th>\n      <td id=\"T_e10bd_row2_col0\" class=\"data row2 col0\" >1,5</td>\n      <td id=\"T_e10bd_row2_col1\" class=\"data row2 col1\" >7,0</td>\n      <td id=\"T_e10bd_row2_col2\" class=\"data row2 col2\" >34,0</td>\n      <td id=\"T_e10bd_row2_col3\" class=\"data row2 col3\" >9,0</td>\n      <td id=\"T_e10bd_row2_col4\" class=\"data row2 col4\" >12,0</td>\n      <td id=\"T_e10bd_row2_col5\" class=\"data row2 col5\" >10,5</td>\n      <td id=\"T_e10bd_row2_col6\" class=\"data row2 col6\" >18,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row3\" class=\"row_heading level0 row3\" >Industriefolie (Kunststoff)</th>\n      <td id=\"T_e10bd_row3_col0\" class=\"data row3 col0\" >10,0</td>\n      <td id=\"T_e10bd_row3_col1\" class=\"data row3 col1\" >1,0</td>\n      <td id=\"T_e10bd_row3_col2\" class=\"data row3 col2\" >17,0</td>\n      <td id=\"T_e10bd_row3_col3\" class=\"data row3 col3\" >3,0</td>\n      <td id=\"T_e10bd_row3_col4\" class=\"data row3 col4\" >5,0</td>\n      <td id=\"T_e10bd_row3_col5\" class=\"data row3 col5\" >2,0</td>\n      <td id=\"T_e10bd_row3_col6\" class=\"data row3 col6\" >5,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row4\" class=\"row_heading level0 row4\" >Kronkorken, Lasche von Dose/Ausfreisslachen</th>\n      <td id=\"T_e10bd_row4_col0\" class=\"data row4 col0\" >1,5</td>\n      <td id=\"T_e10bd_row4_col1\" class=\"data row4 col1\" >0,0</td>\n      <td id=\"T_e10bd_row4_col2\" class=\"data row4 col2\" >1,0</td>\n      <td id=\"T_e10bd_row4_col3\" class=\"data row4 col3\" >1,0</td>\n      <td id=\"T_e10bd_row4_col4\" class=\"data row4 col4\" >1,0</td>\n      <td id=\"T_e10bd_row4_col5\" class=\"data row4 col5\" >1,0</td>\n      <td id=\"T_e10bd_row4_col6\" class=\"data row4 col6\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row5\" class=\"row_heading level0 row5\" >Kunststoff-Bauabfälle</th>\n      <td id=\"T_e10bd_row5_col0\" class=\"data row5 col0\" >7,5</td>\n      <td id=\"T_e10bd_row5_col1\" class=\"data row5 col1\" >0,0</td>\n      <td id=\"T_e10bd_row5_col2\" class=\"data row5 col2\" >6,0</td>\n      <td id=\"T_e10bd_row5_col3\" class=\"data row5 col3\" >0,0</td>\n      <td id=\"T_e10bd_row5_col4\" class=\"data row5 col4\" >2,0</td>\n      <td id=\"T_e10bd_row5_col5\" class=\"data row5 col5\" >0,0</td>\n      <td id=\"T_e10bd_row5_col6\" class=\"data row5 col6\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row6\" class=\"row_heading level0 row6\" >Kunststofffragmente eckig <5mm</th>\n      <td id=\"T_e10bd_row6_col0\" class=\"data row6 col0\" >0,0</td>\n      <td id=\"T_e10bd_row6_col1\" class=\"data row6 col1\" >0,0</td>\n      <td id=\"T_e10bd_row6_col2\" class=\"data row6 col2\" >0,0</td>\n      <td id=\"T_e10bd_row6_col3\" class=\"data row6 col3\" >0,0</td>\n      <td id=\"T_e10bd_row6_col4\" class=\"data row6 col4\" >0,0</td>\n      <td id=\"T_e10bd_row6_col5\" class=\"data row6 col5\" >0,0</td>\n      <td id=\"T_e10bd_row6_col6\" class=\"data row6 col6\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row7\" class=\"row_heading level0 row7\" >Ringe von Plastikflaschen/Behältern</th>\n      <td id=\"T_e10bd_row7_col0\" class=\"data row7 col0\" >3,0</td>\n      <td id=\"T_e10bd_row7_col1\" class=\"data row7 col1\" >1,0</td>\n      <td id=\"T_e10bd_row7_col2\" class=\"data row7 col2\" >2,0</td>\n      <td id=\"T_e10bd_row7_col3\" class=\"data row7 col3\" >1,0</td>\n      <td id=\"T_e10bd_row7_col4\" class=\"data row7 col4\" >1,0</td>\n      <td id=\"T_e10bd_row7_col5\" class=\"data row7 col5\" >0,0</td>\n      <td id=\"T_e10bd_row7_col6\" class=\"data row7 col6\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row8\" class=\"row_heading level0 row8\" >Schaumstoffverpackungen/Isolierung</th>\n      <td id=\"T_e10bd_row8_col0\" class=\"data row8 col0\" >2,0</td>\n      <td id=\"T_e10bd_row8_col1\" class=\"data row8 col1\" >0,0</td>\n      <td id=\"T_e10bd_row8_col2\" class=\"data row8 col2\" >10,0</td>\n      <td id=\"T_e10bd_row8_col3\" class=\"data row8 col3\" >4,0</td>\n      <td id=\"T_e10bd_row8_col4\" class=\"data row8 col4\" >4,0</td>\n      <td id=\"T_e10bd_row8_col5\" class=\"data row8 col5\" >0,0</td>\n      <td id=\"T_e10bd_row8_col6\" class=\"data row8 col6\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row9\" class=\"row_heading level0 row9\" >Snack-Verpackungen</th>\n      <td id=\"T_e10bd_row9_col0\" class=\"data row9 col0\" >5,5</td>\n      <td id=\"T_e10bd_row9_col1\" class=\"data row9 col1\" >0,0</td>\n      <td id=\"T_e10bd_row9_col2\" class=\"data row9 col2\" >10,0</td>\n      <td id=\"T_e10bd_row9_col3\" class=\"data row9 col3\" >6,0</td>\n      <td id=\"T_e10bd_row9_col4\" class=\"data row9 col4\" >6,0</td>\n      <td id=\"T_e10bd_row9_col5\" class=\"data row9 col5\" >6,0</td>\n      <td id=\"T_e10bd_row9_col6\" class=\"data row9 col6\" >9,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row10\" class=\"row_heading level0 row10\" >Styropor < 5mm</th>\n      <td id=\"T_e10bd_row10_col0\" class=\"data row10 col0\" >0,0</td>\n      <td id=\"T_e10bd_row10_col1\" class=\"data row10 col1\" >0,0</td>\n      <td id=\"T_e10bd_row10_col2\" class=\"data row10 col2\" >4,0</td>\n      <td id=\"T_e10bd_row10_col3\" class=\"data row10 col3\" >0,0</td>\n      <td id=\"T_e10bd_row10_col4\" class=\"data row10 col4\" >0,0</td>\n      <td id=\"T_e10bd_row10_col5\" class=\"data row10 col5\" >0,0</td>\n      <td id=\"T_e10bd_row10_col6\" class=\"data row10 col6\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_e10bd_level0_row11\" class=\"row_heading level0 row11\" >Zigarettenfilter</th>\n      <td id=\"T_e10bd_row11_col0\" class=\"data row11 col0\" >14,5</td>\n      <td id=\"T_e10bd_row11_col1\" class=\"data row11 col1\" >7,0</td>\n      <td id=\"T_e10bd_row11_col2\" class=\"data row11 col2\" >35,0</td>\n      <td id=\"T_e10bd_row11_col3\" class=\"data row11 col3\" >19,0</td>\n      <td id=\"T_e10bd_row11_col4\" class=\"data row11 col4\" >19,0</td>\n      <td id=\"T_e10bd_row11_col5\" class=\"data row11 col5\" >23,0</td>\n      <td id=\"T_e10bd_row11_col6\" class=\"data row11 col6\" >20,0</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7fe7a407ac70>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_most_common_heat_map"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# add new section to pdf\n",
    "mc_section_title = Paragraph(\"Die am häufigsten gefundenen Objekte\", featuredata.section_title)\n",
    "para_g = \"Die am häufigsten gefundenen Objekte sind die zehn mengenmässig am meisten vorkommenden Objekte und/oder Objekte, die in mindestens 50 % aller Datenerhebungen identifiziert wurden (Häufigkeitsrate)\"\n",
    "mc_section_para = Paragraph(para_g, featuredata.p_style)\n",
    "mc_table_cap = Paragraph(mc_caption_string, featuredata.caption_style)\n",
    "\n",
    "\n",
    "\n",
    "new_components = [\n",
    "    KeepTogether([\n",
    "        mc_section_title,\n",
    "        featuredata.small_space,\n",
    "        mc_section_para,\n",
    "        featuredata.large_space,\n",
    "        mc_table\n",
    "        ])\n",
    "]\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "mc_heat_map_caption = f'Median {unit_label} der häufigsten Objekte am {this_feature[\"name\"]}.'\n",
    "\n",
    "# calling componentsMostCommon gets the results for the most common codes\n",
    "# at the component level\n",
    "components = fdx.componentMostCommonPcsM()\n",
    "\n",
    "# pivot that and quash the hierarchal column index that is created when the table is pivoted\n",
    "mc_comp = components[[\"item\", unit_label, \"city\"]].pivot(columns=\"city\", index=\"item\")\n",
    "mc_comp.columns = mc_comp.columns.get_level_values(1)\n",
    "\n",
    "# the aggregated total of the feature is taken from the most common objects table\n",
    "mc_feature = fdx.most_common[unit_label]\n",
    "mc_feature = featuredata.changeSeriesIndexLabels(mc_feature, {x:fdx.dMap.loc[x] for x in mc_feature.index})\n",
    "\n",
    "# aggregated totals of the parent this is derived from the arguments in kwargs\n",
    "mc_parent = period_data.parentMostCommon(parent=True)\n",
    "mc_parent = featuredata.changeSeriesIndexLabels(mc_parent, {x:fdx.dMap.loc[x] for x in mc_parent.index})\n",
    "\n",
    "# the aggregated totals of all the period data\n",
    "mc_period = period_data.parentMostCommon(parent=False)\n",
    "mc_period = featuredata.changeSeriesIndexLabels(mc_period, {x:fdx.dMap.loc[x] for x in mc_period.index})\n",
    "\n",
    "# add the feature, bassin_label and period results to the components table\n",
    "mc_comp[this_feature[\"name\"]]= mc_feature\n",
    "mc_comp[bassin_label] = mc_parent\n",
    "mc_comp[top] = mc_period\n",
    "\n",
    "caption_prefix =  f'Median {unit_label} der häufigsten Objekte am '\n",
    "col_widths=[4.5*cm, *[1.2*cm]*(len(mc_comp.columns)-1)]\n",
    "mc_heatmap_title = Paragraph(\"Die am häufigsten gefundenen Objekte nach Gemeinden\", featuredata.subsection_title)\n",
    "tables = featuredata.splitTableWidth(mc_comp, gradient=True, caption_prefix=caption_prefix, caption=mc_heat_map_caption,\n",
    "                    this_feature=this_feature[\"name\"], vertical_header=True, colWidths=col_widths)\n",
    "\n",
    "# identify the tables variable as either a list or a Flowable:\n",
    "if isinstance(tables, (list, np.ndarray)):\n",
    "    grouped_pdf_components = [mc_heatmap_title, featuredata.large_space, *tables]\n",
    "else:\n",
    "    grouped_pdf_components = [mc_heatmap_title, featuredata.large_space, tables]\n",
    "    \n",
    "\n",
    "new_components = [\n",
    "    featuredata.small_space,\n",
    "    KeepTogether(grouped_pdf_components)\n",
    "]\n",
    "\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "# notebook display style\n",
    "aformatter = {x: featuredata.replaceDecimal for x in mc_comp.columns}\n",
    "mcd = mc_comp.style.format(aformatter).set_table_styles(heat_map_css_styles)\n",
    "mcd = mcd.background_gradient(axis=None, vmin=mc_comp.min().min(), vmax=mc_comp.max().max(), cmap=\"YlOrBr\")\n",
    "\n",
    "# remove the index name and column name labels\n",
    "mcd.index.name = None\n",
    "mcd.columns.name = None\n",
    "\n",
    "# rotate the text on the header row\n",
    "# the .applymap_index method in the\n",
    "# df.styler module is used for this\n",
    "mcd = mcd.applymap_index(featuredata.rotateText, axis=1)\n",
    "\n",
    "# display markdown html\n",
    "glue(f'{this_feature[\"slug\"]}_mc_heat_map_caption', mc_heat_map_caption, display=False)\n",
    "\n",
    "glue('walensee_most_common_heat_map', mcd, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": [
     "output-scroll"
    ]
   },
   "source": [
    "```{glue:figure} walensee_most_common_heat_map\n",
    "---\n",
    "name: 'walensee_most_common_heat_map'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "{numref}`Abbildung %s: <walensee_most_common_heat_map>` {glue:text}`walensee_mc_heat_map_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": []
   },
   "source": [
    "### Die am häufigsten gefundenen Objekte im monatlichen Durchschnitt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
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#T_02036_row4_col0, #T_02036_row4_col9, #T_02036_row5_col5, #T_02036_row5_col9, #T_02036_row5_col11, #T_02036_row8_col0, #T_02036_row8_col6, #T_02036_row8_col7, #T_02036_row8_col8, #T_02036_row8_col9, #T_02036_row8_col10, #T_02036_row8_col11, #T_02036_row9_col0, #T_02036_row9_col5, #T_02036_row9_col7, #T_02036_row9_col8, #T_02036_row9_col11 {\n  background-color: #ffffe5;\n  color: #000000;\n}\n#T_02036_row0_col5, #T_02036_row1_col5, #T_02036_row1_col9, #T_02036_row2_col5, #T_02036_row2_col6, #T_02036_row2_col10, #T_02036_row3_col11, #T_02036_row4_col5, #T_02036_row5_col4, #T_02036_row5_col10, #T_02036_row6_col9, #T_02036_row6_col11, #T_02036_row7_col0, #T_02036_row9_col6 {\n  background-color: #fffee2;\n  color: #000000;\n}\n#T_02036_row0_col6, #T_02036_row0_col7, #T_02036_row0_col8, #T_02036_row1_col0, #T_02036_row1_col3, #T_02036_row1_col11, #T_02036_row2_col0, #T_02036_row2_col7, #T_02036_row3_col9, #T_02036_row5_col3, #T_02036_row7_col9, #T_02036_row8_col3, #T_02036_row8_col4, #T_02036_row8_col5, #T_02036_row9_col1, #T_02036_row9_col9, #T_02036_row10_col11 {\n  background-color: #ffffe4;\n  color: #000000;\n}\n#T_02036_row1_col1, #T_02036_row11_col9 {\n  background-color: #fffcd4;\n  color: #000000;\n}\n#T_02036_row1_col6, #T_02036_row3_col0, #T_02036_row3_col5, #T_02036_row5_col1, #T_02036_row5_col6, #T_02036_row5_col8, #T_02036_row7_col5, #T_02036_row9_col4 {\n  background-color: #fffedf;\n  color: #000000;\n}\n#T_02036_row1_col7, #T_02036_row3_col3 {\n  background-color: #fffdd9;\n  color: #000000;\n}\n#T_02036_row3_col1, #T_02036_row3_col4, #T_02036_row4_col10 {\n  background-color: #fffcd6;\n  color: #000000;\n}\n#T_02036_row3_col2, #T_02036_row6_col4, #T_02036_row6_col6, #T_02036_row11_col10 {\n  background-color: #fff7be;\n  color: #000000;\n}\n#T_02036_row3_col6, #T_02036_row7_col8, #T_02036_row11_col6 {\n  background-color: #fffcd8;\n  color: #000000;\n}\n#T_02036_row3_col7, #T_02036_row4_col11, #T_02036_row10_col9 {\n  background-color: #fffddc;\n  color: #000000;\n}\n#T_02036_row3_col10, #T_02036_row4_col3, #T_02036_row7_col3, #T_02036_row10_col7, #T_02036_row11_col7 {\n  background-color: #fffddb;\n  color: #000000;\n}\n#T_02036_row4_col1 {\n  background-color: #fff4b6;\n  color: #000000;\n}\n#T_02036_row4_col2 {\n  background-color: #fee493;\n  color: #000000;\n}\n#T_02036_row4_col4, #T_02036_row7_col4 {\n  background-color: #fffbcf;\n  color: #000000;\n}\n#T_02036_row5_col2, #T_02036_row10_col5, #T_02036_row11_col5 {\n  background-color: #fffacd;\n  color: #000000;\n}\n#T_02036_row6_col0 {\n  background-color: #feaa38;\n  color: #000000;\n}\n#T_02036_row6_col1 {\n  background-color: #f07919;\n  color: #f1f1f1;\n}\n#T_02036_row6_col2 {\n  background-color: #662506;\n  color: #f1f1f1;\n}\n#T_02036_row6_col3 {\n  background-color: #ffface;\n  color: #000000;\n}\n#T_02036_row6_col7 {\n  background-color: #fffcd7;\n  color: #000000;\n}\n#T_02036_row6_col8, #T_02036_row7_col7 {\n  background-color: #fffaca;\n  color: #000000;\n}\n#T_02036_row6_col10, #T_02036_row7_col2 {\n  background-color: #fff6b9;\n  color: #000000;\n}\n#T_02036_row7_col1 {\n  background-color: #fff8c2;\n  color: #000000;\n}\n#T_02036_row7_col6 {\n  background-color: #fff8c0;\n  color: #000000;\n}\n#T_02036_row7_col10, #T_02036_row10_col4 {\n  background-color: #fff7bc;\n  color: #000000;\n}\n#T_02036_row8_col2 {\n  background-color: #fee89d;\n  color: #000000;\n}\n#T_02036_row9_col2 {\n  background-color: #fed778;\n  color: #000000;\n}\n#T_02036_row9_col3 {\n  background-color: #fff9c9;\n  color: #000000;\n}\n#T_02036_row10_col0 {\n  background-color: #fff3b4;\n  color: #000000;\n}\n#T_02036_row10_col1 {\n  background-color: #fecf67;\n  color: #000000;\n}\n#T_02036_row10_col2 {\n  background-color: #feb23f;\n  color: #000000;\n}\n#T_02036_row10_col3 {\n  background-color: #fff9c7;\n  color: #000000;\n}\n#T_02036_row10_col6 {\n  background-color: #fffbd0;\n  color: #000000;\n}\n#T_02036_row10_col10 {\n  background-color: #fffbd3;\n  color: #000000;\n}\n#T_02036_row11_col0 {\n  background-color: #fede86;\n  color: #000000;\n}\n#T_02036_row11_col1 {\n  background-color: #fec34f;\n  color: #000000;\n}\n#T_02036_row11_col2 {\n  background-color: #b64203;\n  color: #f1f1f1;\n}\n#T_02036_row11_col3 {\n  background-color: #fff4b5;\n  color: #000000;\n}\n#T_02036_row11_col4 {\n  background-color: #fecc61;\n  color: #000000;\n}\n#T_02036_row11_col8, #T_02036_row11_col11 {\n  background-color: #fffacb;\n  color: #000000;\n}\n</style>\n<table id=\"T_02036\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_02036_level0_col0\" class=\"col_heading level0 col0\" >Apr.</th>\n      <th id=\"T_02036_level0_col1\" class=\"col_heading level0 col1\" >Mai</th>\n      <th id=\"T_02036_level0_col2\" class=\"col_heading level0 col2\" >Juni</th>\n      <th id=\"T_02036_level0_col3\" class=\"col_heading level0 col3\" >Juli</th>\n      <th id=\"T_02036_level0_col4\" class=\"col_heading level0 col4\" >Aug.</th>\n      <th id=\"T_02036_level0_col5\" class=\"col_heading level0 col5\" >Sept.</th>\n      <th id=\"T_02036_level0_col6\" class=\"col_heading level0 col6\" >Okt.</th>\n      <th id=\"T_02036_level0_col7\" class=\"col_heading level0 col7\" >Nov.</th>\n      <th id=\"T_02036_level0_col8\" class=\"col_heading level0 col8\" >Dez.</th>\n      <th id=\"T_02036_level0_col9\" class=\"col_heading level0 col9\" >Jan.</th>\n      <th id=\"T_02036_level0_col10\" class=\"col_heading level0 col10\" >Feb.</th>\n      <th id=\"T_02036_level0_col11\" class=\"col_heading level0 col11\" >März</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_02036_level0_row0\" class=\"row_heading level0 row0\" >Kronkorken, Lasche von Dose/Ausfreisslachen</th>\n      <td id=\"T_02036_row0_col0\" class=\"data row0 col0\" >3,5</td>\n      <td id=\"T_02036_row0_col1\" class=\"data row0 col1\" >4,5</td>\n      <td id=\"T_02036_row0_col2\" class=\"data row0 col2\" >6,5</td>\n      <td id=\"T_02036_row0_col3\" class=\"data row0 col3\" >0,3</td>\n      <td id=\"T_02036_row0_col4\" class=\"data row0 col4\" >3,0</td>\n      <td id=\"T_02036_row0_col5\" class=\"data row0 col5\" >2,0</td>\n      <td id=\"T_02036_row0_col6\" class=\"data row0 col6\" >1,0</td>\n      <td id=\"T_02036_row0_col7\" class=\"data row0 col7\" >1,0</td>\n      <td id=\"T_02036_row0_col8\" class=\"data row0 col8\" >1,5</td>\n      <td id=\"T_02036_row0_col9\" class=\"data row0 col9\" >0,3</td>\n      <td id=\"T_02036_row0_col10\" class=\"data row0 col10\" >0,0</td>\n      <td id=\"T_02036_row0_col11\" class=\"data row0 col11\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row1\" class=\"row_heading level0 row1\" > Getränkeflaschen aus Glas, Glasfragmente</th>\n      <td id=\"T_02036_row1_col0\" class=\"data row1 col0\" >1,0</td>\n      <td id=\"T_02036_row1_col1\" class=\"data row1 col1\" >13,0</td>\n      <td id=\"T_02036_row1_col2\" class=\"data row1 col2\" >4,0</td>\n      <td id=\"T_02036_row1_col3\" class=\"data row1 col3\" >1,7</td>\n      <td id=\"T_02036_row1_col4\" class=\"data row1 col4\" >0,5</td>\n      <td id=\"T_02036_row1_col5\" class=\"data row1 col5\" >2,0</td>\n      <td id=\"T_02036_row1_col6\" class=\"data row1 col6\" >5,0</td>\n      <td id=\"T_02036_row1_col7\" class=\"data row1 col7\" >8,8</td>\n      <td id=\"T_02036_row1_col8\" class=\"data row1 col8\" >0,0</td>\n      <td id=\"T_02036_row1_col9\" class=\"data row1 col9\" >2,0</td>\n      <td id=\"T_02036_row1_col10\" class=\"data row1 col10\" >0,0</td>\n      <td id=\"T_02036_row1_col11\" class=\"data row1 col11\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row2\" class=\"row_heading level0 row2\" >Ringe von Plastikflaschen/Behältern</th>\n      <td id=\"T_02036_row2_col0\" class=\"data row2 col0\" >1,0</td>\n      <td id=\"T_02036_row2_col1\" class=\"data row2 col1\" >3,0</td>\n      <td id=\"T_02036_row2_col2\" class=\"data row2 col2\" >4,5</td>\n      <td id=\"T_02036_row2_col3\" class=\"data row2 col3\" >0,0</td>\n      <td id=\"T_02036_row2_col4\" class=\"data row2 col4\" >4,5</td>\n      <td id=\"T_02036_row2_col5\" class=\"data row2 col5\" >2,0</td>\n      <td id=\"T_02036_row2_col6\" class=\"data row2 col6\" >2,0</td>\n      <td id=\"T_02036_row2_col7\" class=\"data row2 col7\" >1,7</td>\n      <td id=\"T_02036_row2_col8\" class=\"data row2 col8\" >0,5</td>\n      <td id=\"T_02036_row2_col9\" class=\"data row2 col9\" >0,7</td>\n      <td id=\"T_02036_row2_col10\" class=\"data row2 col10\" >2,0</td>\n      <td id=\"T_02036_row2_col11\" class=\"data row2 col11\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row3\" class=\"row_heading level0 row3\" >Snack-Verpackungen</th>\n      <td id=\"T_02036_row3_col0\" class=\"data row3 col0\" >5,5</td>\n      <td id=\"T_02036_row3_col1\" class=\"data row3 col1\" >11,5</td>\n      <td id=\"T_02036_row3_col2\" class=\"data row3 col2\" >28,5</td>\n      <td id=\"T_02036_row3_col3\" class=\"data row3 col3\" >9,3</td>\n      <td id=\"T_02036_row3_col4\" class=\"data row3 col4\" >11,5</td>\n      <td id=\"T_02036_row3_col5\" class=\"data row3 col5\" >5,0</td>\n      <td id=\"T_02036_row3_col6\" class=\"data row3 col6\" >9,7</td>\n      <td id=\"T_02036_row3_col7\" class=\"data row3 col7\" >6,7</td>\n      <td id=\"T_02036_row3_col8\" class=\"data row3 col8\" >3,0</td>\n      <td id=\"T_02036_row3_col9\" class=\"data row3 col9\" >1,3</td>\n      <td id=\"T_02036_row3_col10\" class=\"data row3 col10\" >8,0</td>\n      <td id=\"T_02036_row3_col11\" class=\"data row3 col11\" >2,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row4\" class=\"row_heading level0 row4\" >Schaumstoffverpackungen/Isolierung</th>\n      <td id=\"T_02036_row4_col0\" class=\"data row4 col0\" >0,0</td>\n      <td id=\"T_02036_row4_col1\" class=\"data row4 col1\" >34,5</td>\n      <td id=\"T_02036_row4_col2\" class=\"data row4 col2\" >58,5</td>\n      <td id=\"T_02036_row4_col3\" class=\"data row4 col3\" >8,0</td>\n      <td id=\"T_02036_row4_col4\" class=\"data row4 col4\" >16,0</td>\n      <td id=\"T_02036_row4_col5\" class=\"data row4 col5\" >2,0</td>\n      <td id=\"T_02036_row4_col6\" class=\"data row4 col6\" >4,0</td>\n      <td id=\"T_02036_row4_col7\" class=\"data row4 col7\" >3,7</td>\n      <td id=\"T_02036_row4_col8\" class=\"data row4 col8\" >6,5</td>\n      <td id=\"T_02036_row4_col9\" class=\"data row4 col9\" >0,3</td>\n      <td id=\"T_02036_row4_col10\" class=\"data row4 col10\" >12,0</td>\n      <td id=\"T_02036_row4_col11\" class=\"data row4 col11\" >7,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row5\" class=\"row_heading level0 row5\" >Kunststoff-Bauabfälle</th>\n      <td id=\"T_02036_row5_col0\" class=\"data row5 col0\" >6,0</td>\n      <td id=\"T_02036_row5_col1\" class=\"data row5 col1\" >5,5</td>\n      <td id=\"T_02036_row5_col2\" class=\"data row5 col2\" >18,5</td>\n      <td id=\"T_02036_row5_col3\" class=\"data row5 col3\" >1,7</td>\n      <td id=\"T_02036_row5_col4\" class=\"data row5 col4\" >2,0</td>\n      <td id=\"T_02036_row5_col5\" class=\"data row5 col5\" >0,0</td>\n      <td id=\"T_02036_row5_col6\" class=\"data row5 col6\" >5,0</td>\n      <td id=\"T_02036_row5_col7\" class=\"data row5 col7\" >5,7</td>\n      <td id=\"T_02036_row5_col8\" class=\"data row5 col8\" >5,5</td>\n      <td id=\"T_02036_row5_col9\" class=\"data row5 col9\" >0,0</td>\n      <td id=\"T_02036_row5_col10\" class=\"data row5 col10\" >2,5</td>\n      <td id=\"T_02036_row5_col11\" class=\"data row5 col11\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row6\" class=\"row_heading level0 row6\" >Expandiertes Polystyrol</th>\n      <td id=\"T_02036_row6_col0\" class=\"data row6 col0\" >108,0</td>\n      <td id=\"T_02036_row6_col1\" class=\"data row6 col1\" >142,5</td>\n      <td id=\"T_02036_row6_col2\" class=\"data row6 col2\" >239,5</td>\n      <td id=\"T_02036_row6_col3\" class=\"data row6 col3\" >17,7</td>\n      <td id=\"T_02036_row6_col4\" class=\"data row6 col4\" >28,5</td>\n      <td id=\"T_02036_row6_col5\" class=\"data row6 col5\" >4,0</td>\n      <td id=\"T_02036_row6_col6\" class=\"data row6 col6\" >28,3</td>\n      <td id=\"T_02036_row6_col7\" class=\"data row6 col7\" >10,5</td>\n      <td id=\"T_02036_row6_col8\" class=\"data row6 col8\" >20,5</td>\n      <td id=\"T_02036_row6_col9\" class=\"data row6 col9\" >2,0</td>\n      <td id=\"T_02036_row6_col10\" class=\"data row6 col10\" >32,5</td>\n      <td id=\"T_02036_row6_col11\" class=\"data row6 col11\" >2,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row7\" class=\"row_heading level0 row7\" >Industriefolie (Kunststoff)</th>\n      <td id=\"T_02036_row7_col0\" class=\"data row7 col0\" >2,5</td>\n      <td id=\"T_02036_row7_col1\" class=\"data row7 col1\" >25,5</td>\n      <td id=\"T_02036_row7_col2\" class=\"data row7 col2\" >32,0</td>\n      <td id=\"T_02036_row7_col3\" class=\"data row7 col3\" >7,7</td>\n      <td id=\"T_02036_row7_col4\" class=\"data row7 col4\" >16,0</td>\n      <td id=\"T_02036_row7_col5\" class=\"data row7 col5\" >5,5</td>\n      <td id=\"T_02036_row7_col6\" class=\"data row7 col6\" >27,3</td>\n      <td id=\"T_02036_row7_col7\" class=\"data row7 col7\" >20,5</td>\n      <td id=\"T_02036_row7_col8\" class=\"data row7 col8\" >10,0</td>\n      <td id=\"T_02036_row7_col9\" class=\"data row7 col9\" >1,7</td>\n      <td id=\"T_02036_row7_col10\" class=\"data row7 col10\" >30,5</td>\n      <td id=\"T_02036_row7_col11\" class=\"data row7 col11\" >4,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row8\" class=\"row_heading level0 row8\" >Kunststofffragmente eckig <5mm</th>\n      <td id=\"T_02036_row8_col0\" class=\"data row8 col0\" >0,0</td>\n      <td id=\"T_02036_row8_col1\" class=\"data row8 col1\" >4,0</td>\n      <td id=\"T_02036_row8_col2\" class=\"data row8 col2\" >52,0</td>\n      <td id=\"T_02036_row8_col3\" class=\"data row8 col3\" >1,7</td>\n      <td id=\"T_02036_row8_col4\" class=\"data row8 col4\" >1,5</td>\n      <td id=\"T_02036_row8_col5\" class=\"data row8 col5\" >1,0</td>\n      <td id=\"T_02036_row8_col6\" class=\"data row8 col6\" >0,0</td>\n      <td id=\"T_02036_row8_col7\" class=\"data row8 col7\" >0,0</td>\n      <td id=\"T_02036_row8_col8\" class=\"data row8 col8\" >0,0</td>\n      <td id=\"T_02036_row8_col9\" class=\"data row8 col9\" >0,3</td>\n      <td id=\"T_02036_row8_col10\" class=\"data row8 col10\" >0,0</td>\n      <td id=\"T_02036_row8_col11\" class=\"data row8 col11\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row9\" class=\"row_heading level0 row9\" >Styropor < 5mm</th>\n      <td id=\"T_02036_row9_col0\" class=\"data row9 col0\" >0,0</td>\n      <td id=\"T_02036_row9_col1\" class=\"data row9 col1\" >1,5</td>\n      <td id=\"T_02036_row9_col2\" class=\"data row9 col2\" >72,0</td>\n      <td id=\"T_02036_row9_col3\" class=\"data row9 col3\" >20,7</td>\n      <td id=\"T_02036_row9_col4\" class=\"data row9 col4\" >5,0</td>\n      <td id=\"T_02036_row9_col5\" class=\"data row9 col5\" >0,5</td>\n      <td id=\"T_02036_row9_col6\" class=\"data row9 col6\" >2,3</td>\n      <td id=\"T_02036_row9_col7\" class=\"data row9 col7\" >0,3</td>\n      <td id=\"T_02036_row9_col8\" class=\"data row9 col8\" >0,5</td>\n      <td id=\"T_02036_row9_col9\" class=\"data row9 col9\" >1,7</td>\n      <td id=\"T_02036_row9_col10\" class=\"data row9 col10\" >3,5</td>\n      <td id=\"T_02036_row9_col11\" class=\"data row9 col11\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row10\" class=\"row_heading level0 row10\" >Fragmentierte Kunststoffe</th>\n      <td id=\"T_02036_row10_col0\" class=\"data row10 col0\" >36,0</td>\n      <td id=\"T_02036_row10_col1\" class=\"data row10 col1\" >79,5</td>\n      <td id=\"T_02036_row10_col2\" class=\"data row10 col2\" >102,0</td>\n      <td id=\"T_02036_row10_col3\" class=\"data row10 col3\" >22,0</td>\n      <td id=\"T_02036_row10_col4\" class=\"data row10 col4\" >30,0</td>\n      <td id=\"T_02036_row10_col5\" class=\"data row10 col5\" >18,5</td>\n      <td id=\"T_02036_row10_col6\" class=\"data row10 col6\" >15,7</td>\n      <td id=\"T_02036_row10_col7\" class=\"data row10 col7\" >7,5</td>\n      <td id=\"T_02036_row10_col8\" class=\"data row10 col8\" >6,5</td>\n      <td id=\"T_02036_row10_col9\" class=\"data row10 col9\" >6,7</td>\n      <td id=\"T_02036_row10_col10\" class=\"data row10 col10\" >14,0</td>\n      <td id=\"T_02036_row10_col11\" class=\"data row10 col11\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_02036_level0_row11\" class=\"row_heading level0 row11\" >Zigarettenfilter</th>\n      <td id=\"T_02036_row11_col0\" class=\"data row11 col0\" >65,0</td>\n      <td id=\"T_02036_row11_col1\" class=\"data row11 col1\" >90,5</td>\n      <td id=\"T_02036_row11_col2\" class=\"data row11 col2\" >192,5</td>\n      <td id=\"T_02036_row11_col3\" class=\"data row11 col3\" >35,0</td>\n      <td id=\"T_02036_row11_col4\" class=\"data row11 col4\" >82,0</td>\n      <td id=\"T_02036_row11_col5\" class=\"data row11 col5\" >18,0</td>\n      <td id=\"T_02036_row11_col6\" class=\"data row11 col6\" >9,7</td>\n      <td id=\"T_02036_row11_col7\" class=\"data row11 col7\" >8,2</td>\n      <td id=\"T_02036_row11_col8\" class=\"data row11 col8\" >19,5</td>\n      <td id=\"T_02036_row11_col9\" class=\"data row11 col9\" >12,3</td>\n      <td id=\"T_02036_row11_col10\" class=\"data row11 col10\" >28,5</td>\n      <td id=\"T_02036_row11_col11\" class=\"data row11 col11\" >19,0</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7fe7174a28e0>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_monthly_results"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# collect the survey results of the most common objects\n",
    "# and aggregate code with groupname for each sample\n",
    "agg_pcs_quantity = {unit_label:\"sum\", \"quantity\":\"sum\"}\n",
    "groups = [\"loc_date\",\"date\",\"code\", \"groupname\"]\n",
    "\n",
    "# use the index from the most common codes to select from the feature data\n",
    "m_common_m = fd[(fd.code.isin(fdx.most_common.index))].groupby(groups, as_index=False).agg(agg_pcs_quantity)\n",
    "start_date = \"2020-04-01\"\n",
    "end_date = \"2021-03-31\"\n",
    "\n",
    "# set the index to the date column\n",
    "m_common_m.set_index(\"date\", inplace=True)\n",
    "\n",
    "m_common_m = m_common_m.sort_index().loc[start_date:end_date]\n",
    "\n",
    "# set the order of the chart, group the codes by groupname columns and collect the respective object codes\n",
    "an_order = m_common_m.groupby([\"code\",\"groupname\"], as_index=False).quantity.sum().sort_values(by=\"groupname\")[\"code\"].values\n",
    "\n",
    "# use the order array and resample each code for the monthly value\n",
    "# store in a dict\n",
    "mgr = {}\n",
    "for a_code in an_order:\n",
    "    # resample by month\n",
    "    a_cell = m_common_m[(m_common_m.code==a_code)][unit_label].resample(\"M\").mean().fillna(0)\n",
    "    a_cell = round(a_cell, 1)\n",
    "    this_group = {a_code:a_cell}\n",
    "    mgr.update(this_group)\n",
    "\n",
    "# make df form dict and collect the abbreviated month name set that to index\n",
    "by_month = pd.DataFrame.from_dict(mgr)\n",
    "by_month[\"month\"] = by_month.index.map(lambda x: get_month_names('abbreviated', locale=date_lang)[x.month])\n",
    "by_month.set_index('month', drop=True, inplace=True)\n",
    "\n",
    "# transpose to get months on the columns and set index to the object description\n",
    "by_month = by_month.T\n",
    "by_month[\"Objekt\"] = by_month.index.map(lambda x: fdx.dMap.loc[x])\n",
    "by_month.set_index(\"Objekt\", drop=True, inplace=True)\n",
    "\n",
    "# pdf components\n",
    "# gradient background for .pdf table\n",
    "monthly_heat_map_gradient = featuredata.colorGradientTable(by_month)\n",
    "\n",
    "# subsection title and figure caption\n",
    "mc_monthly_title = Paragraph(\"Die am häufigsten gefundenen Objekte im monatlichen Durchschnitt\", featuredata.subsection_title)\n",
    "monthly_data_caption = f'{this_feature[\"name\"]}, monatliche Durchschnittsergebnisse p/100 m'\n",
    "\n",
    "\n",
    "col_widths = [4*cm, *[1.15*cm]*(len(mc_comp.columns))]\n",
    "\n",
    "d_chart = featuredata.aSingleStyledTable(by_month, vertical_header=True, gradient=True, colWidths=col_widths)\n",
    "d_capt = featuredata.makeAParagraph(monthly_data_caption, style=featuredata.caption_style)\n",
    "mc_table = featuredata.tableAndCaption(d_chart, d_capt, colwidths)\n",
    "new_components = [\n",
    "    KeepTogether([\n",
    "        mc_monthly_title,\n",
    "        featuredata.large_space,\n",
    "        mc_table,\n",
    "        PageBreak()\n",
    "    ])\n",
    "]\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "# remove the index names for .html display\n",
    "by_month.index.name = None\n",
    "by_month.columns.name = None\n",
    "\n",
    "aformatter = {x: featuredata.replaceDecimal for x in by_month.columns}\n",
    "\n",
    "mcdm = by_month.style.format(aformatter).set_table_styles(heat_map_css_styles).background_gradient(axis=None, cmap=\"YlOrBr\", vmin=by_month.min().min(), vmax=by_month.max().max())\n",
    "\n",
    "glue(\"walensee_monthly_results\", mcdm, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} walensee_monthly_results\n",
    "---\n",
    "name: 'walensee_monthly_results'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <walensee_monthly_results>` Walensee, monatliche Durchschnittsergebnisse p/100 m."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": []
   },
   "source": [
    "## Verwendungszweck der gefundenen Objekte\n",
    "\n",
    "Der Verwendungszweck basiert auf der Verwendung des Objekts, bevor es weggeworfen wurde, oder auf der Artikelbeschreibung, wenn die ursprüngliche Verwendung unbestimmt ist. Identifizierte Objekte werden einer der 260 vordefinierten Kategorien zugeordnet. Die Kategorien werden je nach Verwendung oder Artikelbeschreibung gruppiert.\n",
    "\n",
    "* Abwasser: Objekte, die aus Kläranlagen freigesetzt werden, sprich Objekte, die wahrscheinlich über die Toilette entsorgt werden\n",
    "* Mikroplastik (< 5 mm): fragmentierte Kunststoffe und Kunststoffharze aus der Vorproduktion\n",
    "* Infrastruktur: Artikel im Zusammenhang mit dem Bau und der Instandhaltung von Gebäuden, Strassen und der Wasser-/Stromversorgung\n",
    "* Essen und Trinken: alle Materialien, die mit dem Konsum von Essen und Trinken in Zusammenhang stehen\n",
    "* Landwirtschaft: Materialien z. B. für Mulch und Reihenabdeckungen, Gewächshäuser, Bodenbegasung, Ballenverpackungen. Einschliesslich Hartkunststoffe für landwirtschaftliche Zäune, Blumentöpfe usw.\n",
    "* Tabakwaren: hauptsächlich Zigarettenfilter, einschliesslich aller mit dem Rauchen verbundenen Materialien\n",
    "* Freizeit und Erholung: Objekte, die mit Sport und Freizeit zu tun haben, z. B. Angeln, Jagen, Wandern usw.\n",
    "* Verpackungen ausser Lebensmittel und Tabak: Verpackungsmaterial, das nicht lebensmittel- oder tabakbezogen ist\n",
    "* Plastikfragmente: Plastikteile unbestimmter Herkunft oder Verwendung\n",
    "* Persönliche Gegenstände: Accessoires, Hygieneartikel und Kleidung\n",
    "\n",
    "Im Anhang (Kapitel 3.6.3) befindet sich die vollständige Liste der identifizierten Objekte, einschliesslich Beschreibungen und Gruppenklassifizierung. Das Kapitel [16 Codegruppen](codegroups) beschreibt jede Codegruppe im Detail und bietet eine umfassende Liste aller Objekte in einer Gruppe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [],
   "source": [
    "# make pdf out put\n",
    "cone_group_subtitle = Paragraph(\"Verwendungszweck der gefundenen Objekte\", featuredata.section_title)\n",
    "\n",
    "paragraph_one = [\n",
    "    \"Der Verwendungszweck basiert auf der Verwendung des Objekts, bevor es weggeworfen wurde, \",\n",
    "    \"oder auf der Artikelbeschreibung, wenn die ursprüngliche Verwendung unbestimmt ist. \",\n",
    "    \"Identifizierte Objekte werden einer der 260 vordefinierten Kategorien zugeordnet. \",\n",
    "    \"Die Kategorien werden je nach Verwendung oder Artikelbeschreibung gruppiert.\"\n",
    "]\n",
    "\n",
    "group_names_list = [\n",
    "    \"Abwasser: Objekte, die aus Kläranlagen freigesetzt werden, sprich Objekte, die wahrscheinlich über die Toilette entsorgt werden\",\n",
    "    \"Mikroplastik (< 5 mm): fragmentierte Kunststoffe und Kunststoffharze aus der Vorproduktion\",\n",
    "    \"Infrastruktur: Artikel im Zusammenhang mit dem Bau und der Instandhaltung von Gebäuden, Strassen und der Wasser-/Stromversorgung\",\n",
    "    \"Essen und Trinken: alle Materialien, die mit dem Konsum von Essen und Trinken in Zusammenhang stehen\",\n",
    "    \"Landwirtschaft: Materialien z. B. für Mulch und Reihenabdeckungen, Gewächshäuser, Bodenbegasung, Ballenverpackungen. Einschliesslich Hartkunststoffe für landwirtschaftliche Zäune, Blumentöpfe usw.\",\n",
    "    \"Tabakwaren: hauptsächlich Zigarettenfilter, einschliesslich aller mit dem Rauchen verbundenen Materialien\",\n",
    "    \"Freizeit und Erholung: Objekte, die mit Sport und Freizeit zu tun haben, z. B. Angeln, Jagen, Wandern usw.\",\n",
    "    \"Verpackungen ausser Lebensmittel und Tabak: Verpackungsmaterial, das nicht lebensmittel- oder tabakbezogen ist\",\n",
    "    \"Plastikfragmente: Plastikteile unbestimmter Herkunft oder Verwendung\",\n",
    "    \"Persönliche Gegenstände: Accessoires, Hygieneartikel und Kleidung\"\n",
    "]\n",
    "\n",
    "paragraph_three = [\n",
    "    \"Im Anhang (Kapitel 3.6.3) befindet sich die vollständige Liste der identifizierten Objekte, \",\n",
    "    \"einschliesslich Beschreibungen und Gruppenklassifizierung. \",\n",
    "    \"Das Kapitel [16 Codegruppen](codegroups) beschreibt jede Codegruppe im Detail und bietet eine \",\n",
    "    \"umfassende Liste aller Objekte in einer Gruppe.\"\n",
    "]\n",
    "\n",
    "\n",
    "# make paragraphs\n",
    "code_group_para_one = ' '.join(paragraph_one)\n",
    "code_group_para_three = ''.join(paragraph_three)\n",
    "\n",
    "cgroup_pone = Paragraph(code_group_para_one, featuredata.p_style)\n",
    "\n",
    "cgroup_pthree = Paragraph(code_group_para_three, featuredata.p_style)\n",
    "a_list_groups = makeAList(group_names_list)\n",
    "\n",
    "new_components = [\n",
    "    KeepTogether([        \n",
    "        cone_group_subtitle,\n",
    "        featuredata.small_space,\n",
    "        cgroup_pone,\n",
    "        featuredata.small_space,\n",
    "        a_list_groups,\n",
    "        featuredata.small_space,\n",
    "        cgroup_pthree\n",
    "    ])\n",
    "]\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Verwendungszweck oder Beschreibung der identifizierten Objekte in % der Gesamtzahl nach Gemeinden im Erhebungsgebiet Walensee. Fragmentierte Objekte, die nicht eindeutig identifiziert werden können, werden weiterhin nach ihrer Grösse klassifiziert.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_codegroup_percent_caption"
      }
     },
     "output_type": "display_data"
    },
    {
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background-color: #b84203;\n  color: #f1f1f1;\n}\n#T_0d6a1_row8_col3 {\n  background-color: #c44802;\n  color: #f1f1f1;\n}\n#T_0d6a1_row9_col5 {\n  background-color: #fee697;\n  color: #000000;\n}\n#T_0d6a1_level0_col0, #T_0d6a1_level0_col1, #T_0d6a1_level0_col2, #T_0d6a1_level0_col3, #T_0d6a1_level0_col4, #T_0d6a1_level0_col5, #T_0d6a1_level0_col6 {\n  writing-mode: vertical-lr;\n  transform: rotate(-180deg);\n  padding: 10px;\n  margins: 0;\n  vertical-align: baseline;\n}\n</style>\n<table id=\"T_0d6a1\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_0d6a1_level0_col0\" class=\"col_heading level0 col0\" >Glarus Nord</th>\n      <th id=\"T_0d6a1_level0_col1\" class=\"col_heading level0 col1\" >Quarten</th>\n      <th id=\"T_0d6a1_level0_col2\" class=\"col_heading level0 col2\" >Walenstadt</th>\n      <th id=\"T_0d6a1_level0_col3\" class=\"col_heading level0 col3\" >Weesen</th>\n      <th id=\"T_0d6a1_level0_col4\" class=\"col_heading level0 col4\" >Walensee</th>\n      <th id=\"T_0d6a1_level0_col5\" class=\"col_heading level0 col5\" >Erhebungsgebiet Linth</th>\n      <th id=\"T_0d6a1_level0_col6\" class=\"col_heading level0 col6\" >Alle Erhebungsgebiete</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_0d6a1_level0_row0\" class=\"row_heading level0 row0\" >Abwasser</th>\n      <td id=\"T_0d6a1_row0_col0\" class=\"data row0 col0\" >1%</td>\n      <td id=\"T_0d6a1_row0_col1\" class=\"data row0 col1\" >0%</td>\n      <td id=\"T_0d6a1_row0_col2\" class=\"data row0 col2\" >2%</td>\n      <td id=\"T_0d6a1_row0_col3\" class=\"data row0 col3\" >2%</td>\n      <td id=\"T_0d6a1_row0_col4\" class=\"data row0 col4\" >2%</td>\n      <td id=\"T_0d6a1_row0_col5\" class=\"data row0 col5\" >2%</td>\n      <td id=\"T_0d6a1_row0_col6\" class=\"data row0 col6\" >5%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row1\" class=\"row_heading level0 row1\" >Essen und Trinken</th>\n      <td id=\"T_0d6a1_row1_col0\" class=\"data row1 col0\" >19%</td>\n      <td id=\"T_0d6a1_row1_col1\" class=\"data row1 col1\" >30%</td>\n      <td id=\"T_0d6a1_row1_col2\" class=\"data row1 col2\" >10%</td>\n      <td id=\"T_0d6a1_row1_col3\" class=\"data row1 col3\" >17%</td>\n      <td id=\"T_0d6a1_row1_col4\" class=\"data row1 col4\" >13%</td>\n      <td id=\"T_0d6a1_row1_col5\" class=\"data row1 col5\" >22%</td>\n      <td id=\"T_0d6a1_row1_col6\" class=\"data row1 col6\" >19%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row2\" class=\"row_heading level0 row2\" >Freizeit und Erholung</th>\n      <td id=\"T_0d6a1_row2_col0\" class=\"data row2 col0\" >3%</td>\n      <td id=\"T_0d6a1_row2_col1\" class=\"data row2 col1\" >14%</td>\n      <td id=\"T_0d6a1_row2_col2\" class=\"data row2 col2\" >3%</td>\n      <td id=\"T_0d6a1_row2_col3\" class=\"data row2 col3\" >4%</td>\n      <td id=\"T_0d6a1_row2_col4\" class=\"data row2 col4\" >4%</td>\n      <td id=\"T_0d6a1_row2_col5\" class=\"data row2 col5\" >5%</td>\n      <td id=\"T_0d6a1_row2_col6\" class=\"data row2 col6\" >4%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row3\" class=\"row_heading level0 row3\" >Infrastruktur</th>\n      <td id=\"T_0d6a1_row3_col0\" class=\"data row3 col0\" >22%</td>\n      <td id=\"T_0d6a1_row3_col1\" class=\"data row3 col1\" >16%</td>\n      <td id=\"T_0d6a1_row3_col2\" class=\"data row3 col2\" >30%</td>\n      <td id=\"T_0d6a1_row3_col3\" class=\"data row3 col3\" >21%</td>\n      <td id=\"T_0d6a1_row3_col4\" class=\"data row3 col4\" >27%</td>\n      <td id=\"T_0d6a1_row3_col5\" class=\"data row3 col5\" >15%</td>\n      <td id=\"T_0d6a1_row3_col6\" class=\"data row3 col6\" >18%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row4\" class=\"row_heading level0 row4\" >Landwirtschaft</th>\n      <td id=\"T_0d6a1_row4_col0\" class=\"data row4 col0\" >10%</td>\n      <td id=\"T_0d6a1_row4_col1\" class=\"data row4 col1\" >9%</td>\n      <td id=\"T_0d6a1_row4_col2\" class=\"data row4 col2\" >11%</td>\n      <td id=\"T_0d6a1_row4_col3\" class=\"data row4 col3\" >8%</td>\n      <td id=\"T_0d6a1_row4_col4\" class=\"data row4 col4\" >10%</td>\n      <td id=\"T_0d6a1_row4_col5\" class=\"data row4 col5\" >6%</td>\n      <td id=\"T_0d6a1_row4_col6\" class=\"data row4 col6\" >6%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row5\" class=\"row_heading level0 row5\" >Mikroplastik (< 5mm)</th>\n      <td id=\"T_0d6a1_row5_col0\" class=\"data row5 col0\" >0%</td>\n      <td id=\"T_0d6a1_row5_col1\" class=\"data row5 col1\" >1%</td>\n      <td id=\"T_0d6a1_row5_col2\" class=\"data row5 col2\" >6%</td>\n      <td id=\"T_0d6a1_row5_col3\" class=\"data row5 col3\" >4%</td>\n      <td id=\"T_0d6a1_row5_col4\" class=\"data row5 col4\" >6%</td>\n      <td id=\"T_0d6a1_row5_col5\" class=\"data row5 col5\" >3%</td>\n      <td id=\"T_0d6a1_row5_col6\" class=\"data row5 col6\" >8%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row6\" class=\"row_heading level0 row6\" >Persönliche Gegenstände</th>\n      <td id=\"T_0d6a1_row6_col0\" class=\"data row6 col0\" >4%</td>\n      <td id=\"T_0d6a1_row6_col1\" class=\"data row6 col1\" >3%</td>\n      <td id=\"T_0d6a1_row6_col2\" class=\"data row6 col2\" >1%</td>\n      <td id=\"T_0d6a1_row6_col3\" class=\"data row6 col3\" >4%</td>\n      <td id=\"T_0d6a1_row6_col4\" class=\"data row6 col4\" >2%</td>\n      <td id=\"T_0d6a1_row6_col5\" class=\"data row6 col5\" >4%</td>\n      <td id=\"T_0d6a1_row6_col6\" class=\"data row6 col6\" >3%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row7\" class=\"row_heading level0 row7\" >Plastikfragmente</th>\n      <td id=\"T_0d6a1_row7_col0\" class=\"data row7 col0\" >1%</td>\n      <td id=\"T_0d6a1_row7_col1\" class=\"data row7 col1\" >12%</td>\n      <td id=\"T_0d6a1_row7_col2\" class=\"data row7 col2\" >12%</td>\n      <td id=\"T_0d6a1_row7_col3\" class=\"data row7 col3\" >12%</td>\n      <td id=\"T_0d6a1_row7_col4\" class=\"data row7 col4\" >12%</td>\n      <td id=\"T_0d6a1_row7_col5\" class=\"data row7 col5\" >10%</td>\n      <td id=\"T_0d6a1_row7_col6\" class=\"data row7 col6\" >14%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row8\" class=\"row_heading level0 row8\" >Tabakwaren</th>\n      <td id=\"T_0d6a1_row8_col0\" class=\"data row8 col0\" >24%</td>\n      <td id=\"T_0d6a1_row8_col1\" class=\"data row8 col1\" >10%</td>\n      <td id=\"T_0d6a1_row8_col2\" class=\"data row8 col2\" >18%</td>\n      <td id=\"T_0d6a1_row8_col3\" class=\"data row8 col3\" >23%</td>\n      <td id=\"T_0d6a1_row8_col4\" class=\"data row8 col4\" >19%</td>\n      <td id=\"T_0d6a1_row8_col5\" class=\"data row8 col5\" >24%</td>\n      <td id=\"T_0d6a1_row8_col6\" class=\"data row8 col6\" >17%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row9\" class=\"row_heading level0 row9\" >Verpackungen ohne Lebensmittel/Tabak</th>\n      <td id=\"T_0d6a1_row9_col0\" class=\"data row9 col0\" >1%</td>\n      <td id=\"T_0d6a1_row9_col1\" class=\"data row9 col1\" >4%</td>\n      <td id=\"T_0d6a1_row9_col2\" class=\"data row9 col2\" >4%</td>\n      <td id=\"T_0d6a1_row9_col3\" class=\"data row9 col3\" >5%</td>\n      <td id=\"T_0d6a1_row9_col4\" class=\"data row9 col4\" >4%</td>\n      <td id=\"T_0d6a1_row9_col5\" class=\"data row9 col5\" >7%</td>\n      <td id=\"T_0d6a1_row9_col6\" class=\"data row9 col6\" >5%</td>\n    </tr>\n    <tr>\n      <th id=\"T_0d6a1_level0_row10\" class=\"row_heading level0 row10\" >nicht klassifiziert</th>\n      <td id=\"T_0d6a1_row10_col0\" class=\"data row10 col0\" >12%</td>\n      <td id=\"T_0d6a1_row10_col1\" class=\"data row10 col1\" >1%</td>\n      <td id=\"T_0d6a1_row10_col2\" class=\"data row10 col2\" >1%</td>\n      <td id=\"T_0d6a1_row10_col3\" class=\"data row10 col3\" >1%</td>\n      <td id=\"T_0d6a1_row10_col4\" class=\"data row10 col4\" >1%</td>\n      <td id=\"T_0d6a1_row10_col5\" class=\"data row10 col5\" >1%</td>\n      <td id=\"T_0d6a1_row10_col6\" class=\"data row10 col6\" >1%</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7fe70f146a00>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_codegroup_percent"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# the results are a callable for the components\n",
    "components = fdx.componentCodeGroupResults()\n",
    "\n",
    "# pivot that and reomve any hierarchal column index\n",
    "pt_comp = components[[\"city\", \"groupname\", '% of total' ]].pivot(columns=\"city\", index=\"groupname\")\n",
    "pt_comp.columns = pt_comp.columns.get_level_values(1)\n",
    "\n",
    "# the aggregated codegroup results from the feature\n",
    "pt_feature = fdx.codegroup_summary[\"% of total\"]\n",
    "pt_comp[this_feature[\"name\"]] = pt_feature\n",
    "\n",
    "# the aggregated totals for the parent level\n",
    "pt_parent = period_data.parentGroupTotals(parent=True, percent=True)\n",
    "pt_comp[bassin_label] = pt_parent\n",
    "\n",
    "# the aggregated totals for the period\n",
    "pt_period = period_data.parentGroupTotals(parent=False, percent=True)\n",
    "pt_comp[top] = pt_period\n",
    "\n",
    "# caption\n",
    "code_group_percent_caption = [\n",
    "    'Verwendungszweck oder Beschreibung der identifizierten Objekte in % der ',\n",
    "    f'Gesamtzahl nach Gemeinden im Erhebungsgebiet {this_feature[\"name\"]}. '\n",
    "    'Fragmentierte Objekte, die nicht eindeutig identifiziert werden können, ',\n",
    "    'werden weiterhin nach ihrer Grösse klassifiziert.'\n",
    "]\n",
    "\n",
    "code_group_percent_caption = ''.join(code_group_percent_caption)\n",
    "\n",
    "# format for data frame\n",
    "pt_comp.index.name = None\n",
    "pt_comp.columns.name = None\n",
    "aformatter = {x: '{:.0%}' for x in pt_comp.columns}\n",
    "ptd = pt_comp.style.format(aformatter).set_table_styles(heat_map_css_styles).background_gradient(axis=None, vmin=pt_comp.min().min(), vmax=pt_comp.max().max(), cmap=\"YlOrBr\")\n",
    "ptd = ptd.applymap_index(featuredata.rotateText, axis=1)\n",
    "\n",
    "caption_prefix =  'Verwendungszweck oder Beschreibung der identifizierten Objekte in % der Gesamtzahl nach Gemeinden: '\n",
    "\n",
    "\n",
    "col_widths = [4.5*cm, *[1.2*cm]*(len(pt_comp.columns)-1)]\n",
    "cgpercent_tables = featuredata.splitTableWidth(pt_comp.mul(100).astype(int), gradient=True, caption_prefix=caption_prefix, caption= code_group_percent_caption,\n",
    "                    this_feature=this_feature[\"name\"], vertical_header=True, colWidths=col_widths) \n",
    "\n",
    "\n",
    "glue(\"walensee_codegroup_percent_caption\", code_group_percent_caption, display=False)\n",
    "glue(\"walensee_codegroup_percent\", ptd, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} walensee_codegroup_percent\n",
    "---\n",
    "name: 'walensee_codegroup_percent'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <walensee_codegroup_percent>`  {glue:text}`walensee_codegroup_percent_caption` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Verwendungszweck der gefundenen Objekte Median p/100 m am Walensee. Fragmentierte Objekte, die nicht eindeutig identifiziert werden können, werden weiterhin nach ihrer Grösse klassifiziert.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_codegroup_pcsm_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
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#T_264de_row5_col3, #T_264de_row5_col4, #T_264de_row6_col0, #T_264de_row6_col3, #T_264de_row9_col3 {\n  background-color: #fffdd9;\n  color: #000000;\n}\n#T_264de_row1_col0, #T_264de_row3_col0 {\n  background-color: #feeaa0;\n  color: #000000;\n}\n#T_264de_row1_col1, #T_264de_row7_col2 {\n  background-color: #feba46;\n  color: #000000;\n}\n#T_264de_row1_col2 {\n  background-color: #feb23f;\n  color: #000000;\n}\n#T_264de_row1_col3, #T_264de_row3_col3 {\n  background-color: #fff1ae;\n  color: #000000;\n}\n#T_264de_row1_col4, #T_264de_row3_col1, #T_264de_row3_col4, #T_264de_row3_col6, #T_264de_row8_col4 {\n  background-color: #fee596;\n  color: #000000;\n}\n#T_264de_row1_col5 {\n  background-color: #fec857;\n  color: #000000;\n}\n#T_264de_row1_col6, #T_264de_row8_col2 {\n  background-color: #feae3b;\n  color: #000000;\n}\n#T_264de_row2_col0 {\n  background-color: #fffddc;\n  color: #000000;\n}\n#T_264de_row2_col1, #T_264de_row7_col3, #T_264de_row9_col6 {\n  background-color: #fff8c2;\n  color: #000000;\n}\n#T_264de_row2_col2, #T_264de_row4_col0, #T_264de_row4_col1, #T_264de_row9_col5 {\n  background-color: #fff7be;\n  color: #000000;\n}\n#T_264de_row2_col4, #T_264de_row9_col4 {\n  background-color: #fffbd2;\n  color: #000000;\n}\n#T_264de_row2_col5, #T_264de_row6_col2, #T_264de_row6_col4, #T_264de_row6_col5 {\n  background-color: #fffcd6;\n  color: #000000;\n}\n#T_264de_row2_col6, #T_264de_row6_col6 {\n  background-color: #ffface;\n  color: #000000;\n}\n#T_264de_row3_col2 {\n  background-color: #662506;\n  color: #f1f1f1;\n}\n#T_264de_row3_col5 {\n  background-color: #fff3b4;\n  color: #000000;\n}\n#T_264de_row4_col2 {\n  background-color: #fee08a;\n  color: #000000;\n}\n#T_264de_row4_col4 {\n  background-color: #fff9c6;\n  color: #000000;\n}\n#T_264de_row4_col6, #T_264de_row5_col2, #T_264de_row7_col1, #T_264de_row8_col1 {\n  background-color: #fffaca;\n  color: #000000;\n}\n#T_264de_row7_col4, #T_264de_row9_col2 {\n  background-color: #fff4b6;\n  color: 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Nord</th>\n      <th id=\"T_264de_level0_col1\" class=\"col_heading level0 col1\" >Quarten</th>\n      <th id=\"T_264de_level0_col2\" class=\"col_heading level0 col2\" >Walenstadt</th>\n      <th id=\"T_264de_level0_col3\" class=\"col_heading level0 col3\" >Weesen</th>\n      <th id=\"T_264de_level0_col4\" class=\"col_heading level0 col4\" >Walensee</th>\n      <th id=\"T_264de_level0_col5\" class=\"col_heading level0 col5\" >Erhebungsgebiet Linth</th>\n      <th id=\"T_264de_level0_col6\" class=\"col_heading level0 col6\" >Alle Erhebungsgebiete</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_264de_level0_row0\" class=\"row_heading level0 row0\" >Abwasser</th>\n      <td id=\"T_264de_row0_col0\" class=\"data row0 col0\" >1,5</td>\n      <td id=\"T_264de_row0_col1\" class=\"data row0 col1\" >0,0</td>\n      <td id=\"T_264de_row0_col2\" class=\"data row0 col2\" >2,0</td>\n      <td id=\"T_264de_row0_col3\" class=\"data row0 col3\" >1,0</td>\n      <td id=\"T_264de_row0_col4\" class=\"data row0 col4\" >1,0</td>\n      <td id=\"T_264de_row0_col5\" class=\"data row0 col5\" >0,5</td>\n      <td id=\"T_264de_row0_col6\" class=\"data row0 col6\" >3,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row1\" class=\"row_heading level0 row1\" >Essen und Trinken</th>\n      <td id=\"T_264de_row1_col0\" class=\"data row1 col0\" >17,5</td>\n      <td id=\"T_264de_row1_col1\" class=\"data row1 col1\" >34,0</td>\n      <td id=\"T_264de_row1_col2\" class=\"data row1 col2\" >36,0</td>\n      <td id=\"T_264de_row1_col3\" class=\"data row1 col3\" >14,0</td>\n      <td id=\"T_264de_row1_col4\" class=\"data row1 col4\" >20,0</td>\n      <td id=\"T_264de_row1_col5\" class=\"data row1 col5\" >30,5</td>\n      <td id=\"T_264de_row1_col6\" class=\"data row1 col6\" >37,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row2\" class=\"row_heading level0 row2\" >Freizeit und Erholung</th>\n      <td id=\"T_264de_row2_col0\" class=\"data row2 col0\" >2,5</td>\n      <td id=\"T_264de_row2_col1\" class=\"data row2 col1\" >9,0</td>\n      <td id=\"T_264de_row2_col2\" class=\"data row2 col2\" >10,0</td>\n      <td id=\"T_264de_row2_col3\" class=\"data row2 col3\" >3,0</td>\n      <td id=\"T_264de_row2_col4\" class=\"data row2 col4\" >5,0</td>\n      <td id=\"T_264de_row2_col5\" class=\"data row2 col5\" >4,0</td>\n      <td id=\"T_264de_row2_col6\" class=\"data row2 col6\" >6,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row3\" class=\"row_heading level0 row3\" >Infrastruktur</th>\n      <td id=\"T_264de_row3_col0\" class=\"data row3 col0\" >17,5</td>\n      <td id=\"T_264de_row3_col1\" class=\"data row3 col1\" >20,0</td>\n      <td id=\"T_264de_row3_col2\" class=\"data row3 col2\" >84,0</td>\n      <td id=\"T_264de_row3_col3\" class=\"data row3 col3\" >14,0</td>\n      <td id=\"T_264de_row3_col4\" class=\"data row3 col4\" >20,0</td>\n      <td id=\"T_264de_row3_col5\" class=\"data row3 col5\" >12,5</td>\n      <td id=\"T_264de_row3_col6\" class=\"data row3 col6\" >20,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row4\" class=\"row_heading level0 row4\" >Landwirtschaft</th>\n      <td id=\"T_264de_row4_col0\" class=\"data row4 col0\" >10,0</td>\n      <td id=\"T_264de_row4_col1\" class=\"data row4 col1\" >10,0</td>\n      <td id=\"T_264de_row4_col2\" class=\"data row4 col2\" >22,0</td>\n      <td id=\"T_264de_row4_col3\" class=\"data row4 col3\" >3,0</td>\n      <td id=\"T_264de_row4_col4\" class=\"data row4 col4\" >8,0</td>\n      <td id=\"T_264de_row4_col5\" class=\"data row4 col5\" >3,0</td>\n      <td id=\"T_264de_row4_col6\" class=\"data row4 col6\" >7,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row5\" class=\"row_heading level0 row5\" >Mikroplastik (< 5mm)</th>\n      <td id=\"T_264de_row5_col0\" class=\"data row5 col0\" >0,0</td>\n      <td id=\"T_264de_row5_col1\" class=\"data row5 col1\" >0,0</td>\n      <td id=\"T_264de_row5_col2\" class=\"data row5 col2\" >7,0</td>\n      <td id=\"T_264de_row5_col3\" class=\"data row5 col3\" >3,0</td>\n      <td id=\"T_264de_row5_col4\" class=\"data row5 col4\" >3,0</td>\n      <td id=\"T_264de_row5_col5\" class=\"data row5 col5\" >0,0</td>\n      <td id=\"T_264de_row5_col6\" class=\"data row5 col6\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row6\" class=\"row_heading level0 row6\" >Persönliche Gegenstände</th>\n      <td id=\"T_264de_row6_col0\" class=\"data row6 col0\" >3,0</td>\n      <td id=\"T_264de_row6_col1\" class=\"data row6 col1\" >1,0</td>\n      <td id=\"T_264de_row6_col2\" class=\"data row6 col2\" >4,0</td>\n      <td id=\"T_264de_row6_col3\" class=\"data row6 col3\" >3,0</td>\n      <td id=\"T_264de_row6_col4\" class=\"data row6 col4\" >4,0</td>\n      <td id=\"T_264de_row6_col5\" class=\"data row6 col5\" >4,0</td>\n      <td id=\"T_264de_row6_col6\" class=\"data row6 col6\" >6,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row7\" class=\"row_heading level0 row7\" >Plastikfragmente</th>\n      <td id=\"T_264de_row7_col0\" class=\"data row7 col0\" >1,5</td>\n      <td id=\"T_264de_row7_col1\" class=\"data row7 col1\" >7,0</td>\n      <td id=\"T_264de_row7_col2\" class=\"data row7 col2\" >34,0</td>\n      <td id=\"T_264de_row7_col3\" class=\"data row7 col3\" >9,0</td>\n      <td id=\"T_264de_row7_col4\" class=\"data row7 col4\" >12,0</td>\n      <td id=\"T_264de_row7_col5\" class=\"data row7 col5\" >10,5</td>\n      <td id=\"T_264de_row7_col6\" class=\"data row7 col6\" >18,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row8\" class=\"row_heading level0 row8\" >Tabakwaren</th>\n      <td id=\"T_264de_row8_col0\" class=\"data row8 col0\" >16,5</td>\n      <td id=\"T_264de_row8_col1\" class=\"data row8 col1\" >7,0</td>\n      <td id=\"T_264de_row8_col2\" class=\"data row8 col2\" >37,0</td>\n      <td id=\"T_264de_row8_col3\" class=\"data row8 col3\" >19,0</td>\n      <td id=\"T_264de_row8_col4\" class=\"data row8 col4\" >20,0</td>\n      <td id=\"T_264de_row8_col5\" class=\"data row8 col5\" >26,5</td>\n      <td id=\"T_264de_row8_col6\" class=\"data row8 col6\" >25,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row9\" class=\"row_heading level0 row9\" >Verpackungen ohne Lebensmittel/Tabak</th>\n      <td id=\"T_264de_row9_col0\" class=\"data row9 col0\" >1,0</td>\n      <td id=\"T_264de_row9_col1\" class=\"data row9 col1\" >0,0</td>\n      <td id=\"T_264de_row9_col2\" class=\"data row9 col2\" >12,0</td>\n      <td id=\"T_264de_row9_col3\" class=\"data row9 col3\" >3,0</td>\n      <td id=\"T_264de_row9_col4\" class=\"data row9 col4\" >5,0</td>\n      <td id=\"T_264de_row9_col5\" class=\"data row9 col5\" >10,0</td>\n      <td id=\"T_264de_row9_col6\" class=\"data row9 col6\" >9,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_264de_level0_row10\" class=\"row_heading level0 row10\" >nicht klassifiziert</th>\n      <td id=\"T_264de_row10_col0\" class=\"data row10 col0\" >7,5</td>\n      <td id=\"T_264de_row10_col1\" class=\"data row10 col1\" >0,0</td>\n      <td id=\"T_264de_row10_col2\" class=\"data row10 col2\" >2,0</td>\n      <td id=\"T_264de_row10_col3\" class=\"data row10 col3\" >0,0</td>\n      <td id=\"T_264de_row10_col4\" class=\"data row10 col4\" >1,0</td>\n      <td id=\"T_264de_row10_col5\" class=\"data row10 col5\" >0,0</td>\n      <td id=\"T_264de_row10_col6\" class=\"data row10 col6\" >0,0</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7fe70f2c2790>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_codegroup_pcsm"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pivot that\n",
    "grouppcs_comp = components[[\"city\", \"groupname\", unit_label ]].pivot(columns=\"city\", index=\"groupname\")\n",
    "\n",
    "# quash the hierarchal column index\n",
    "grouppcs_comp.columns = grouppcs_comp.columns.get_level_values(1)\n",
    "\n",
    "# the aggregated codegroup results from the feature\n",
    "pt_feature = fdx.codegroup_summary[unit_label]\n",
    "grouppcs_comp[this_feature[\"name\"]] = pt_feature\n",
    "\n",
    "# the aggregated totals for the parent level\n",
    "pt_parent = period_data.parentGroupTotals(parent=True, percent=False)\n",
    "grouppcs_comp[bassin_label] = pt_parent\n",
    "\n",
    "# the aggregated totals for the period\n",
    "pt_period = period_data.parentGroupTotals(parent=False, percent=False)\n",
    "grouppcs_comp[top] = pt_period\n",
    "\n",
    "# color gradient of restults\n",
    "code_group_pcsm_gradient = featuredata.colorGradientTable(grouppcs_comp)\n",
    "grouppcs_comp.index.name = None\n",
    "grouppcs_comp.columns.name = None\n",
    "\n",
    "# pdf and display output\n",
    "code_group_pcsm_caption = [\n",
    "    f'Verwendungszweck der gefundenen Objekte Median {unit_label} am ',\n",
    "    f'{this_feature[\"name\"]}. Fragmentierte Objekte, die nicht eindeutig ',\n",
    "    'identifiziert werden können, werden weiterhin nach ihrer Grösse klassifiziert.'\n",
    "]\n",
    "code_group_pcsm_caption = ''.join(code_group_pcsm_caption)\n",
    "\n",
    "caption_prefix =  f'Verwendungszweck der gefundenen Objekte Median {unit_label} am '\n",
    "col_widths = [4.5*cm, *[1.2*cm]*(len(grouppcs_comp.columns)-1)]\n",
    "cgpcsm_tables = featuredata.splitTableWidth(grouppcs_comp, gradient=True, caption_prefix=caption_prefix, \n",
    "                                caption=code_group_pcsm_caption, this_feature=this_feature[\"name\"], \n",
    "                                vertical_header=True, colWidths=col_widths)\n",
    "\n",
    "if isinstance(cgpcsm_tables, (list, np.ndarray)):\n",
    "    new_components = [\n",
    "        *cgpercent_tables,    \n",
    "        featuredata.larger_space,\n",
    "        *cgpcsm_tables,\n",
    "        featuredata.larger_space\n",
    "    ]\n",
    "else:\n",
    "    new_components = [\n",
    "    cgpercent_tables,    \n",
    "    featuredata.larger_space,\n",
    "    cgpcsm_tables,\n",
    "    featuredata.larger_space\n",
    "    ]\n",
    "    \n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "aformatter = {x: featuredata.replaceDecimal for x in grouppcs_comp.columns}\n",
    "cgp = grouppcs_comp.style.format(aformatter).set_table_styles(heat_map_css_styles).background_gradient(axis=None, vmin=grouppcs_comp.min().min(), vmax=grouppcs_comp.max().max(), cmap=\"YlOrBr\")\n",
    "cgp= cgp.applymap_index(featuredata.rotateText, axis=1)\n",
    "\n",
    "\n",
    "glue(\"walensee_codegroup_pcsm_caption\", code_group_pcsm_caption, display=False)\n",
    "glue(\"walensee_codegroup_pcsm\", cgp, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} walensee_codegroup_pcsm\n",
    "---\n",
    "name: 'walensee_codegroup_pcsm'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <walensee_codegroup_pcsm>` {glue:text}`walensee_codegroup_pcsm_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Anhang\n",
    "\n",
    "### Schaumstoffe und Kunststoffe nach Grösse\n",
    "\n",
    "Die folgende Tabelle enthält die Komponenten «Gfoam» und «Gfrag», die für die Analyse gruppiert wurden. Objekte, die als Schaumstoffe gekennzeichnet sind, werden als Gfoam gruppiert und umfassen alle geschäumten Polystyrol-Kunststoffe > 0,5 cm. Kunststoffteile und Objekte aus kombinierten Kunststoff- und Schaumstoffmaterialien > 0,5 cm werden für die Analyse als Gfrags gruppiert."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Fragmentierte und geschäumte Kunststoffe nach Grösse am WalenseeMedian p/100 m, Anzahl der gefundenen Objekte und Prozent der Gesamtmenge.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_frag_table_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/text/html": "<style type=\"text/css\">\n#T_cdee6 tr:nth-child(even) {\n  background-color: rgba(139, 69, 19, 0.08);\n}\n#T_cdee6 tr:nth-child(odd) {\n  background: #FFF;\n}\n#T_cdee6 tr {\n  font-size: 12px;\n}\n#T_cdee6 th:nth-child(1) {\n  background-color: #FFF;\n  text-align: right;\n}\n#T_cdee6 td {\n  padding: 6px;\n}\n</style>\n<table id=\"T_cdee6\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_cdee6_level0_col0\" class=\"col_heading level0 col0\" >p/100 m</th>\n      <th id=\"T_cdee6_level0_col1\" class=\"col_heading level0 col1\" >Objekte (St.)</th>\n      <th id=\"T_cdee6_level0_col2\" class=\"col_heading level0 col2\" >Anteil</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_cdee6_level0_row0\" class=\"row_heading level0 row0\" >Schaumstoffverpackungen/Isolierung</th>\n      <td id=\"T_cdee6_row0_col0\" class=\"data row0 col0\" >0,0</td>\n      <td id=\"T_cdee6_row0_col1\" class=\"data row0 col1\" >8</td>\n      <td id=\"T_cdee6_row0_col2\" class=\"data row0 col2\" >0%</td>\n    </tr>\n    <tr>\n      <th id=\"T_cdee6_level0_row1\" class=\"row_heading level0 row1\" >Objekte aus Kunststoff/Polystyrol 0,5 - 2,5 cm</th>\n      <td id=\"T_cdee6_row1_col0\" class=\"data row1 col0\" >0,0</td>\n      <td id=\"T_cdee6_row1_col1\" class=\"data row1 col1\" >0</td>\n      <td id=\"T_cdee6_row1_col2\" class=\"data row1 col2\" >0%</td>\n    </tr>\n    <tr>\n      <th id=\"T_cdee6_level0_row2\" class=\"row_heading level0 row2\" >Objekte aus Kunststoff/Polystyrol 2,5 - 50 cm</th>\n      <td id=\"T_cdee6_row2_col0\" class=\"data row2 col0\" >0,0</td>\n      <td id=\"T_cdee6_row2_col1\" class=\"data row2 col1\" >6</td>\n      <td id=\"T_cdee6_row2_col2\" class=\"data row2 col2\" >0%</td>\n    </tr>\n    <tr>\n      <th id=\"T_cdee6_level0_row3\" class=\"row_heading level0 row3\" >Objekte aus Kunststoff 0,5 - 2,5 cm</th>\n      <td id=\"T_cdee6_row3_col0\" class=\"data row3 col0\" >6,0</td>\n      <td id=\"T_cdee6_row3_col1\" class=\"data row3 col1\" >235</td>\n      <td id=\"T_cdee6_row3_col2\" class=\"data row3 col2\" >6%</td>\n    </tr>\n    <tr>\n      <th id=\"T_cdee6_level0_row4\" class=\"row_heading level0 row4\" >Objekte aus Kunststoff 2,5 - 50 cm</th>\n      <td id=\"T_cdee6_row4_col0\" class=\"data row4 col0\" >6,0</td>\n      <td id=\"T_cdee6_row4_col1\" class=\"data row4 col1\" >203</td>\n      <td id=\"T_cdee6_row4_col2\" class=\"data row4 col2\" >5%</td>\n    </tr>\n    <tr>\n      <th id=\"T_cdee6_level0_row5\" class=\"row_heading level0 row5\" >Objekte aus Kunststoff > 50 cm</th>\n      <td id=\"T_cdee6_row5_col0\" class=\"data row5 col0\" >0,0</td>\n      <td id=\"T_cdee6_row5_col1\" class=\"data row5 col1\" >1</td>\n      <td id=\"T_cdee6_row5_col2\" class=\"data row5 col2\" >0%</td>\n    </tr>\n    <tr>\n      <th id=\"T_cdee6_level0_row6\" class=\"row_heading level0 row6\" >Objekte aus expandiertem Polystyrol 0,5 - 2,5 cm</th>\n      <td id=\"T_cdee6_row6_col0\" class=\"data row6 col0\" >7,0</td>\n      <td id=\"T_cdee6_row6_col1\" class=\"data row6 col1\" >398</td>\n      <td id=\"T_cdee6_row6_col2\" class=\"data row6 col2\" >11%</td>\n    </tr>\n    <tr>\n      <th id=\"T_cdee6_level0_row7\" class=\"row_heading level0 row7\" >Objekte aus expandiertem Polystyrol 2,5 - 50 cm</th>\n      <td id=\"T_cdee6_row7_col0\" class=\"data row7 col0\" >4,0</td>\n      <td id=\"T_cdee6_row7_col1\" class=\"data row7 col1\" >319</td>\n      <td id=\"T_cdee6_row7_col2\" class=\"data row7 col2\" >9%</td>\n    </tr>\n    <tr>\n      <th id=\"T_cdee6_level0_row8\" class=\"row_heading level0 row8\" >Objekte aus expandiertem Polystyrol > 50 cm</th>\n      <td id=\"T_cdee6_row8_col0\" class=\"data row8 col0\" >0,0</td>\n      <td id=\"T_cdee6_row8_col1\" class=\"data row8 col1\" >1</td>\n      <td id=\"T_cdee6_row8_col2\" class=\"data row8 col2\" >0%</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7fe70d6c7310>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "walensee_frags_table"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "annex_title = Paragraph(\"Anhang\", featuredata.section_title)\n",
    "frag_sub_title = Paragraph(\"Schaumstoffe und Kunststoffe nach Grösse\", featuredata.subsection_title)\n",
    "\n",
    "frag_paras = [\n",
    "    \"Die folgende Tabelle enthält die Komponenten «Gfoam» und «Gfrag», die für die Analyse gruppiert wurden. \",\n",
    "    \"Objekte, die als Schaumstoffe gekennzeichnet sind, werden als Gfoam gruppiert und umfassen alle geschäumten \",\n",
    "    \"Polystyrol-Kunststoffe > 0,5 cm. Kunststoffteile und Objekte aus kombinierten Kunststoff - und Schaumstoffmaterialien > 0,5 \",\n",
    "    \"cm werden für die Analyse als Gfrags gruppiert.\"\n",
    "]\n",
    "\n",
    "frag_p = \"\".join(frag_paras)\n",
    "frag = Paragraph(frag_p, featuredata.p_style)\n",
    "\n",
    "frag_caption = [\n",
    "    f'Fragmentierte und geschäumte Kunststoffe nach Grösse am {this_feature[\"name\"]}',\n",
    "    f'Median {unit_label}, Anzahl der gefundenen Objekte und Prozent der Gesamtmenge.'\n",
    "]\n",
    "frag_captions = ''.join(frag_caption)\n",
    "\n",
    "# collect the data before aggregating foams for all locations in the survye area\n",
    "# group by loc_date and code\n",
    "# Combine the different sizes of fragmented plastics and styrofoam\n",
    "# the codes for the foams\n",
    "before_agg = pd.read_csv(\"resources/checked_before_agg_sdata_eos_2020_21.csv\")\n",
    "some_foams = [\"G81\", \"G82\", \"G83\", \"G74\"]\n",
    "before_agg.rename(columns={\"p/100m\":unit_label}, inplace=True)\n",
    "\n",
    "# the codes for the fragmented plastics\n",
    "some_frag_plas = list(before_agg[before_agg.groupname == \"plastic pieces\"].code.unique())\n",
    "mask = ((before_agg.code.isin([*some_frag_plas, *some_foams]))&(before_agg.location.isin(admin_summary[\"locations_of_interest\"])))\n",
    "agg_pcs_median = {unit_label:\"median\", \"quantity\":\"sum\"}\n",
    "\n",
    "fd_frags_foams = before_agg[mask].groupby([\"loc_date\",\"code\"], as_index=False).agg(agg_pcs_quantity)\n",
    "fd_frags_foams = fd_frags_foams.groupby(\"code\").agg(agg_pcs_median)\n",
    "fd_frags_foams[\"item\"] = fd_frags_foams.index.map(lambda x: fdx.dMap.loc[x])\n",
    "fd_frags_foams[\"% of total\"] = (fd_frags_foams.quantity/fd.quantity.sum()).round(2)\n",
    "\n",
    "# table data\n",
    "data = fd_frags_foams[[\"item\",unit_label, \"quantity\", \"% of total\"]]\n",
    "data.rename(columns={\"item\":\"Objekt\", \"quantity\":\"Objekte (St.)\", \"% of total\":\"Anteil\"}, inplace=True)\n",
    "data.set_index(\"Objekt\", inplace=True, drop=True)\n",
    "data.index.name = None\n",
    "aformatter = {\n",
    "    f\"{unit_label}\": lambda x: featuredata.replaceDecimal(x, \"de\"),\n",
    "    \"Objekte (St.)\": lambda x: featuredata.thousandsSeparator(int(x), \"de\"),\n",
    "    \"Anteil\":'{:.0%}',\n",
    "   \n",
    "}\n",
    "\n",
    "frags_table = data.style.format(aformatter).set_table_styles(table_css_styles)\n",
    "\n",
    "glue(\"walensee_frag_table_caption\", frag_captions, display=False)\n",
    "glue(\"walensee_frags_table\", frags_table, display=False)\n",
    "\n",
    "# pdf components\n",
    "col_widths = [7*cm, *[2*cm]*len(data.columns)]\n",
    "d_chart = featuredata.aSingleStyledTable(data, colWidths=col_widths)\n",
    "d_capt = Paragraph(frag_captions, featuredata.caption_style)\n",
    "a_dims_table = featuredata.tableAndCaption(d_chart, d_capt, col_widths)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "new_components = [\n",
    "    KeepTogether([\n",
    "        annex_title,\n",
    "        featuredata.small_space,\n",
    "        frag_sub_title,\n",
    "        featuredata.smaller_space,\n",
    "        frag,\n",
    "        featuredata.small_space\n",
    "    ]),\n",
    "    a_dims_table,\n",
    "    \n",
    "    ]\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} walensee_frags_table\n",
    "---\n",
    "name: 'walensee_frags_table'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <walensee_frags_table>` {glue:text}`walensee_frag_table_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Die Erhebungsorte"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "```{figure} resources/maps/walensee_location_labels.jpeg\n",
    "---\n",
    "name: walensee_location_map\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>stat</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>standort</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>gasi-strand</th>\n",
       "      <td>47.128442</td>\n",
       "      <td>9.110831</td>\n",
       "      <td>Weesen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>walensee_walenstadt_wysse</th>\n",
       "      <td>47.121828</td>\n",
       "      <td>9.299552</td>\n",
       "      <td>Walenstadt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>untertenzen</th>\n",
       "      <td>47.115260</td>\n",
       "      <td>9.254780</td>\n",
       "      <td>Quarten</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mols-rocks</th>\n",
       "      <td>47.114343</td>\n",
       "      <td>9.288174</td>\n",
       "      <td>Quarten</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seeflechsen</th>\n",
       "      <td>47.130223</td>\n",
       "      <td>9.103400</td>\n",
       "      <td>Glarus Nord</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seemuhlestrasse-strand</th>\n",
       "      <td>47.128640</td>\n",
       "      <td>9.295100</td>\n",
       "      <td>Walenstadt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>muhlehorn-dorf</th>\n",
       "      <td>47.118448</td>\n",
       "      <td>9.172124</td>\n",
       "      <td>Glarus Nord</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>murg-bad</th>\n",
       "      <td>47.115307</td>\n",
       "      <td>9.215691</td>\n",
       "      <td>Quarten</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flibach-river-right-bank</th>\n",
       "      <td>47.133742</td>\n",
       "      <td>9.105461</td>\n",
       "      <td>Weesen</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            latitude  longitude         stat\n",
       "standort                                                    \n",
       "gasi-strand                47.128442   9.110831       Weesen\n",
       "walensee_walenstadt_wysse  47.121828   9.299552   Walenstadt\n",
       "untertenzen                47.115260   9.254780      Quarten\n",
       "mols-rocks                 47.114343   9.288174      Quarten\n",
       "seeflechsen                47.130223   9.103400  Glarus Nord\n",
       "seemuhlestrasse-strand     47.128640   9.295100   Walenstadt\n",
       "muhlehorn-dorf             47.118448   9.172124  Glarus Nord\n",
       "murg-bad                   47.115307   9.215691      Quarten\n",
       "flibach-river-right-bank   47.133742   9.105461       Weesen"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display the survey locations\n",
    "disp_columns = [\"latitude\", \"longitude\", \"city\"]\n",
    "disp_beaches = admin_details.df_beaches.loc[admin_summary[\"locations_of_interest\"]][disp_columns]\n",
    "disp_beaches.reset_index(inplace=True)\n",
    "disp_beaches.rename(columns={\"city\":\"stat\", \"slug\":\"standort\"}, inplace=True)\n",
    "disp_beaches.set_index(\"standort\", inplace=True, drop=True)\n",
    "\n",
    "def aStyledTableWithTitleRow(data, header_style: Paragraph = featuredata.styled_table_header, title: str = None,\n",
    "                 data_style: Paragraph = featuredata.table_style_centered, colWidths: list = None, style: list = None):\n",
    "    table_data = data.reset_index()\n",
    "   \n",
    "    headers = [Paragraph(str(x), header_style)  for x in data.columns]\n",
    "    headers = [Paragraph(\" \", data_style) , *headers]\n",
    "    \n",
    "    if style is None:\n",
    "        style = featuredata.default_table_style\n",
    "\n",
    "    new_rows = []\n",
    "    for a_row in table_data.values.tolist():\n",
    "        \n",
    "        if isinstance(a_row[0], str):\n",
    "            row_index = Paragraph(a_row[0], featuredata.table_style_right)\n",
    "            row_data = [Paragraph(str(x), data_style) for x in a_row[1:]]\n",
    "            new_row = [row_index, *row_data]\n",
    "            new_rows.append(new_row)\n",
    "        else:\n",
    "            row_data = [Paragraph(str(x), data_style) for x in a_row[1:]]\n",
    "            new_rows.append(row_data)\n",
    "            \n",
    "    table_title_style = [\n",
    "            ('FONTNAME', (0,0), (-1,-1), 'Helvetica'),\n",
    "            ('FONTSIZE', (0, 0), (-1, -1), 12),\n",
    "            ('ROWBACKGROUND', (0,0), (-1,-1), [colors.white]),\n",
    "            ('TOPPADDING', (0, 0), (-1, -1), 3),\n",
    "            ('BOTTOMPADDING', (0, 0), (-1, -1), 3)\n",
    "    \n",
    "        ]\n",
    "        \n",
    "    table_title = Table([[title]], style=table_title_style, colWidths=sum(colWidths))\n",
    "    new_table = [[table_title], headers, *new_rows]\n",
    "    table = Table(new_table, style=style, colWidths=colWidths, repeatRows=2)\n",
    "    \n",
    "    return table\n",
    "\n",
    "# make this into a pdf table\n",
    "location_subsection = Paragraph(\"Die Erhebungsorte und Inventar der Objekte\", featuredata.subsection_title)\n",
    "col_widths = [6*cm, 2.2*cm, 2.2*cm, 3*cm]\n",
    "\n",
    "pdf_table = aStyledTableWithTitleRow(disp_beaches, title=\"Die Erhebungsorte\", colWidths=col_widths)\n",
    "\n",
    "disp_beaches"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": []
   },
   "source": [
    "### Inventar der Objekte"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Objekte</th>\n",
       "      <th>Objekte (St.)</th>\n",
       "      <th>Anteil</th>\n",
       "      <th>p/100 m</th>\n",
       "      <th>Häufigkeitsrate</th>\n",
       "      <th>Material</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>G90</th>\n",
       "      <td>Blumentöpfe aus Plastik</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G208</th>\n",
       "      <td>Glas oder Keramikfragmente &gt;2.5 cm</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G165</th>\n",
       "      <td>Glacestengel (Eisstiele), Zahnstocher, Essstäb...</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G943</th>\n",
       "      <td>Zäune Landwirtschaft, Kunststoff</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G22</th>\n",
       "      <td>Deckel für Chemikalien, Reinigungsmittel (Ohne...</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gfoam</th>\n",
       "      <td>Expandiertes Polystyrol</td>\n",
       "      <td>718</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "      <td>93</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G89</th>\n",
       "      <td>Kunststoff-Bauabfälle</td>\n",
       "      <td>71</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>64</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G3</th>\n",
       "      <td>Einkaufstaschen, Shoppingtaschen</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G149</th>\n",
       "      <td>Papierverpackungen</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G175</th>\n",
       "      <td>Getränkedosen (Dosen, Getränke)</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G927</th>\n",
       "      <td>Plastikschnur von Rasentrimmern, die zum Schne...</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G942</th>\n",
       "      <td>Kunststoffspäne von Drehbänken, CNC-Bearbeitung</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G96</th>\n",
       "      <td>Hygienebinden/Höscheneinlagen/Tampons und Appl...</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G98</th>\n",
       "      <td>Windeln – Feuchttücher</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G27</th>\n",
       "      <td>Zigarettenfilter</td>\n",
       "      <td>657</td>\n",
       "      <td>17</td>\n",
       "      <td>19</td>\n",
       "      <td>96</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G91</th>\n",
       "      <td>Bio-Filtermaterial  / Trägermaterial aus Kunst...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G914</th>\n",
       "      <td>Büroklammern, Wäscheklammern, Gebrauchsgegenst...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G170</th>\n",
       "      <td>Holz (verarbeitet)</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G73</th>\n",
       "      <td>Gegenstände aus Schaumstoff &amp; Teilstücke (nich...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G65</th>\n",
       "      <td>Eimer</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G146</th>\n",
       "      <td>Papier, Karton</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G155</th>\n",
       "      <td>Feuerwerkspapierhülsen und -fragmente</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G126</th>\n",
       "      <td>Bälle</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G137</th>\n",
       "      <td>Kleidung, Handtücher und Lappen</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G200</th>\n",
       "      <td>Getränkeflaschen aus Glas, Glasfragmente</td>\n",
       "      <td>59</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>61</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G4</th>\n",
       "      <td>Kleine Plastikbeutel; Gefrierbeutel, Zippsäckc...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gfrags</th>\n",
       "      <td>Fragmentierte Kunststoffe</td>\n",
       "      <td>445</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>87</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G106</th>\n",
       "      <td>Kunststofffragmente eckig &lt;5mm</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G198</th>\n",
       "      <td>Andere Metallteile &lt; 50 cm</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G20</th>\n",
       "      <td>Laschen und Deckel</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G135</th>\n",
       "      <td>Kleidung, Fussbekleidung, Kopfbedeckung, Hands...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G59</th>\n",
       "      <td>Monofile Angelschnur (Angeln)</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G26</th>\n",
       "      <td>Feuerzeug</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G100</th>\n",
       "      <td>Medizin; Behälter/Röhrchen/Verpackungen</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G156</th>\n",
       "      <td>Papierfragmente</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G941</th>\n",
       "      <td>Verpackungsfolien, nicht für Lebensmittel</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G95</th>\n",
       "      <td>Wattestäbchen/Tupfer</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G25</th>\n",
       "      <td>Tabak; Kunststoffverpackungen, Behälter</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G177</th>\n",
       "      <td>Verpackungen aus Aluminiumfolie</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G115</th>\n",
       "      <td>Schaumstoff &lt;5mm</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G24</th>\n",
       "      <td>Ringe von Plastikflaschen/Behältern</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>61</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G67</th>\n",
       "      <td>Industriefolie (Kunststoff)</td>\n",
       "      <td>310</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>87</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G178</th>\n",
       "      <td>Kronkorken, Lasche von Dose/Ausfreisslachen</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>54</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G21</th>\n",
       "      <td>Getränke-Deckel, Getränkeverschluss</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G148</th>\n",
       "      <td>Kartonkisten und Stücke</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G186</th>\n",
       "      <td>Industrieschrott</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G919</th>\n",
       "      <td>Nägel, Schrauben, Bolzen usw.</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G159</th>\n",
       "      <td>Kork</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G931</th>\n",
       "      <td>(Absperr)band für Absperrungen, Polizei, Baust...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G103</th>\n",
       "      <td>Kunststofffragmente rund &lt;5mm</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G142</th>\n",
       "      <td>Seil, Schnur oder Netze</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G204</th>\n",
       "      <td>Baumaterial;  Ziegel, Rohre, Zement</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G7</th>\n",
       "      <td>Getränkeflaschen &lt; = 0,5 l</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G101</th>\n",
       "      <td>Robidog Hundekot-Säcklein, andere Hundekotsäck...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G936</th>\n",
       "      <td>Folien für Gewächshäuser</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G940</th>\n",
       "      <td>Schaumstoff EVA (flexibler Kunststoff)</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G10</th>\n",
       "      <td>Lebensmittelbehälter zum einmaligen Gebrauch a...</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G32</th>\n",
       "      <td>Spielzeug und Partyartikel</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G904</th>\n",
       "      <td>Feuerwerkskörper; Raketenkappen</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G917</th>\n",
       "      <td>Blähton</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G66</th>\n",
       "      <td>Umreifungsbänder; Hartplastik für Verpackung f...</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G125</th>\n",
       "      <td>Luftballons und Luftballonstäbchen</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G112</th>\n",
       "      <td>Industriepellets (Nurdles)</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G29</th>\n",
       "      <td>Kämme, Bürsten und Sonnenbrillen</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G203</th>\n",
       "      <td>Geschirr aus Keramik oder Glas, Tassen, Teller...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G194</th>\n",
       "      <td>Kabel, Metalldraht oft in Gummi- oder Kunststo...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G201</th>\n",
       "      <td>Gläser, einschliesslich Stücke</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G908</th>\n",
       "      <td>Klebeband; elektrisch, isolierend</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G191</th>\n",
       "      <td>Draht und Gitter</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G921</th>\n",
       "      <td>Keramikfliesen und Bruchstücke</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G925</th>\n",
       "      <td>Pakete: Trockenmittel/Feuchtigkeitsabsorber, m...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G36</th>\n",
       "      <td>Säcke aus strapazierfähigem Kunststoff für 25 ...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G928</th>\n",
       "      <td>Bänder und Schleifen</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G12</th>\n",
       "      <td>Kosmetika, Behälter für Körperpflegeprodukte, ...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G6</th>\n",
       "      <td>Flaschen und Behälter aus Kunststoff, nicht fü...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G124</th>\n",
       "      <td>Andere Kunststoff</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G161</th>\n",
       "      <td>Verarbeitetes Holz</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G49</th>\n",
       "      <td>Seile &gt; 1cm</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G68</th>\n",
       "      <td>Fiberglas-Fragmente</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G87</th>\n",
       "      <td>Abdeckklebeband/Verpackungsklebeband</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G43</th>\n",
       "      <td>Sicherheitsetiketten, Siegel für Fischerei ode...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G8</th>\n",
       "      <td>Getränkeflaschen &gt; 0,5L</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G134</th>\n",
       "      <td>Sonstiges Gummi</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G93</th>\n",
       "      <td>Kabelbinder</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G35</th>\n",
       "      <td>Strohhalme und Rührstäbchen</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G922</th>\n",
       "      <td>Etiketten, Strichcodes</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G23</th>\n",
       "      <td>unidentifizierte Deckel</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G923</th>\n",
       "      <td>Taschentücher, Toilettenpapier, Servietten, Pa...</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G30</th>\n",
       "      <td>Snack-Verpackungen</td>\n",
       "      <td>160</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>80</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G31</th>\n",
       "      <td>Schleckstengel, Stengel von Lutscher</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G33</th>\n",
       "      <td>Einwegartikel; Tassen/Becher &amp; Deckel</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G74</th>\n",
       "      <td>Schaumstoffverpackungen/Isolierung</td>\n",
       "      <td>156</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>61</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G211</th>\n",
       "      <td>Sonstiges medizinisches Material</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G50</th>\n",
       "      <td>Schnur &lt; 1cm</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G152</th>\n",
       "      <td>Papier &amp;Karton;Zigarettenschachteln, Papier/Ka...</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G117</th>\n",
       "      <td>Styropor &lt; 5mm</td>\n",
       "      <td>107</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G153</th>\n",
       "      <td>Papierbecher, Lebensmittelverpackungen aus Pap...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G131</th>\n",
       "      <td>Gummibänder</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G213</th>\n",
       "      <td>Paraffinwachs</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Chemikalien</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G34</th>\n",
       "      <td>Besteck, Teller und Tabletts</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G11</th>\n",
       "      <td>Kosmetika für den Strand, z.B. Sonnencreme</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G53</th>\n",
       "      <td>Netze und Teilstücke &lt; 50cm</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G61</th>\n",
       "      <td>Sonstiges Angelzubehör</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G901</th>\n",
       "      <td>Medizinische Masken, synthetische</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G5</th>\n",
       "      <td>Plastiksäcke/ Plastiktüten</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G48</th>\n",
       "      <td>Seile, synthetische</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G70</th>\n",
       "      <td>Schrotflintenpatronen</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G41</th>\n",
       "      <td>Handschuhe Industriell/Professionell</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G38</th>\n",
       "      <td>Abdeckungen; Kunststoffverpackungen, Folien zu...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G114</th>\n",
       "      <td>Folien &lt;5mm</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G133</th>\n",
       "      <td>Kondome einschließlich Verpackungen</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G905</th>\n",
       "      <td>Haarspangen, Haargummis, persönliche Accessoir...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G926</th>\n",
       "      <td>Kaugummi, enthält oft Kunststoffe</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G132</th>\n",
       "      <td>Schwimmer (Angeln)</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G99</th>\n",
       "      <td>Spritzen - Nadeln</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G144</th>\n",
       "      <td>Tampons</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G154</th>\n",
       "      <td>Zeitungen oder Zeitschriften</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G939</th>\n",
       "      <td>Kunststoffblumen, Kunststoffpflanzen</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G933</th>\n",
       "      <td>Taschen, Etuis für Zubehör, Brillen, Elektroni...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G17</th>\n",
       "      <td>Kartuschen von Kartuschen-spritzpistolen</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G930</th>\n",
       "      <td>Schaumstoff-Ohrstöpsel</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G929</th>\n",
       "      <td>Elektronik und Teile; Sensoren, Headsets usw.</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G176</th>\n",
       "      <td>Konservendosen (Lebensmitteldosen)</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G179</th>\n",
       "      <td>Einweg Grill</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G71</th>\n",
       "      <td>Schuhe Sandalen</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G92</th>\n",
       "      <td>Köderbehälter</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G197</th>\n",
       "      <td>sonstiges Metall</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G907</th>\n",
       "      <td>Kaffeekapseln aus Kunststoff</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G119</th>\n",
       "      <td>Folienartiger Kunststoff (&gt;1mm)</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G711</th>\n",
       "      <td>Handwärmer</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G712</th>\n",
       "      <td>Skihandschuhe</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G713</th>\n",
       "      <td>Skiförderband</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G111</th>\n",
       "      <td>Kugelförmige Pellets &lt; 5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G710</th>\n",
       "      <td>Ski / Snowboards (Ski, Befestigungen und ander...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G94</th>\n",
       "      <td>Tischtuch</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G108</th>\n",
       "      <td>Scheibenförmige Pellets &lt;5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G97</th>\n",
       "      <td>Behälter von Toilettenerfrischer</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G102</th>\n",
       "      <td>Flip-Flops</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G913</th>\n",
       "      <td>Schnuller</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G945</th>\n",
       "      <td>Rasierklingen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G944</th>\n",
       "      <td>Pelletmasse aus dem Spritzgussverfahren</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G84</th>\n",
       "      <td>CD oder CD-Hülle</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G104</th>\n",
       "      <td>Kunststofffragmente abgerundet / rundlich  &lt;5m...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G999</th>\n",
       "      <td>Keine Gegenstände bei dieser Erhebung/Studie g...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Unbekannt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G88</th>\n",
       "      <td>Telefon inkl. Teile</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G105</th>\n",
       "      <td>Kunststofffragmente subangulär &lt;5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G709</th>\n",
       "      <td>Teller von Skistock (runder Teil aus Plastik u...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G902</th>\n",
       "      <td>Medizinische Masken, Stoff</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G918</th>\n",
       "      <td>Sicherheitsnadeln, Büroklammern, kleine Gebrau...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G916</th>\n",
       "      <td>Bleistifte und Bruchstücke</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G915</th>\n",
       "      <td>Reflektoren, Mobilitätsartikel aus Kunststoff</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G932</th>\n",
       "      <td>Bio-Beads, Mikroplastik für die Abwasserbehand...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G107</th>\n",
       "      <td>Zylindrische Pellets &lt;5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G934</th>\n",
       "      <td>Sandsäcke, Kunststoff für Hochwasser- und Eros...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G903</th>\n",
       "      <td>Behälter und Packungen für Handdesinfektionsmi...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G906</th>\n",
       "      <td>Kaffeekapseln Aluminium</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G937</th>\n",
       "      <td>Pheromonköder für Weinberge</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G900</th>\n",
       "      <td>Handschuhe Latex, persönliche Schutzausrüstung</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G109</th>\n",
       "      <td>Flache Pellets &lt;5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G938</th>\n",
       "      <td>Zahnstocher, Zahnseide Kunststoff</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G9</th>\n",
       "      <td>Flaschen und Behälter für Reinigungsmittel und...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G935</th>\n",
       "      <td>Gummi-Puffer für Geh- und Wanderstöcke und Tei...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G40</th>\n",
       "      <td>Handschuhe Haushalt/Garten</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G708</th>\n",
       "      <td>Skistöcke</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G158</th>\n",
       "      <td>Sonstige Gegenstände aus Papier</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G183</th>\n",
       "      <td>Teile von Angelhaken</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G182</th>\n",
       "      <td>Angeln; Haken, Gewichte, Köder, Senkblei, usw.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G181</th>\n",
       "      <td>Geschirr aus Metall, Tassen, Besteck usw.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G180</th>\n",
       "      <td>Haushaltsgeräte</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G123</th>\n",
       "      <td>Polyurethan-Granulat &lt; 5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G174</th>\n",
       "      <td>Aerosolspraydosen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G173</th>\n",
       "      <td>Sonstiges</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G172</th>\n",
       "      <td>Sonstiges Holz &gt; 50 cm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G171</th>\n",
       "      <td>Sonstiges Holz &lt; 50cm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G168</th>\n",
       "      <td>Holzbretter</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G167</th>\n",
       "      <td>Streichhölzer oder Feuerwerke</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G166</th>\n",
       "      <td>Farbpinsel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G162</th>\n",
       "      <td>Kisten</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G160</th>\n",
       "      <td>Paletten</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G157</th>\n",
       "      <td>Papier</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G188</th>\n",
       "      <td>Andere Kanister/Behälter &lt; 4 L</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G128</th>\n",
       "      <td>Reifen und Antriebsriemen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G151</th>\n",
       "      <td>Tetrapack, Kartons</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G150</th>\n",
       "      <td>Milchkartons, Tetrapack</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G129</th>\n",
       "      <td>Schläuche und Gummiplatten</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G147</th>\n",
       "      <td>Papiertragetaschen, (Papiertüten)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G13</th>\n",
       "      <td>Flaschen, Behälter, Fässer zum Transportieren ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G145</th>\n",
       "      <td>Andere Textilien</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G143</th>\n",
       "      <td>Segel und Segeltuch</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G141</th>\n",
       "      <td>Teppiche</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G140</th>\n",
       "      <td>Sack oder Beutel (Tragetasche), Jute oder Hanf</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G14</th>\n",
       "      <td>Flaschen für Motoröl (Motorölflaschen)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G139</th>\n",
       "      <td>Rucksäcke</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G138</th>\n",
       "      <td>Schuhe und Sandalen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G136</th>\n",
       "      <td>Schuhe</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G185</th>\n",
       "      <td>Behälter mittlerer Grösse</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G19</th>\n",
       "      <td>Autoteile</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G707</th>\n",
       "      <td>Skiausrüstungsetikett</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G39</th>\n",
       "      <td>Handschuhe</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G706</th>\n",
       "      <td>Skiabonnement</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G705</th>\n",
       "      <td>Schrauben und Bolzen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G704</th>\n",
       "      <td>Seilbahnbürsten</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G703</th>\n",
       "      <td>Pistenmarkierungspfosten (Plastik)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G702</th>\n",
       "      <td>Pistenmarkierungspfosten (Holz)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G64</th>\n",
       "      <td>Kotflügel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G63</th>\n",
       "      <td>Bojen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G62</th>\n",
       "      <td>Schwimmer für Netze</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G60</th>\n",
       "      <td>Lichtstab, Knicklicht, Glow-sticks</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G113</th>\n",
       "      <td>Fäden &lt;5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G56</th>\n",
       "      <td>Verhedderte Netze</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G55</th>\n",
       "      <td>Angelschnur (verwickelt)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G52</th>\n",
       "      <td>Netze und Teilstücke</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G51</th>\n",
       "      <td>Fischernetz</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G37</th>\n",
       "      <td>Netzbeutel, Netztasche, Netzsäcke</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G190</th>\n",
       "      <td>Farbtöpfe, Farbbüchsen,  ( Farbeimer)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G28</th>\n",
       "      <td>Stifte, Deckel, Druckbleistifte usw.</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G116</th>\n",
       "      <td>Granulat &lt;5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G214</th>\n",
       "      <td>Öl/Teer</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Chemikalien</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G210</th>\n",
       "      <td>Sonstiges Glas/Keramik Materialien</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G118</th>\n",
       "      <td>Kleine Industrielle Kügelchen &lt;5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G207</th>\n",
       "      <td>Tonkrüge zum Fangen von Kraken</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G205</th>\n",
       "      <td>Leuchtstoffröhren</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G202</th>\n",
       "      <td>Glühbirnen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G2</th>\n",
       "      <td>Säcke, Taschen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G199</th>\n",
       "      <td>Andere Metallteile &gt; 50 cm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G122</th>\n",
       "      <td>Kunststofffragmente (&gt;1mm)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G196</th>\n",
       "      <td>Grosse metallische Gegenstände</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G195</th>\n",
       "      <td>Batterien (Haushalt)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G193</th>\n",
       "      <td>Teile von Autos und Autobatterien</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G1</th>\n",
       "      <td>Sixpack-Ringe</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  Objekte Objekte (St.)   \n",
       "code                                                                      \n",
       "G90                               Blumentöpfe aus Plastik             9  \\\n",
       "G208                   Glas oder Keramikfragmente >2.5 cm             9   \n",
       "G165    Glacestengel (Eisstiele), Zahnstocher, Essstäb...             8   \n",
       "G943                     Zäune Landwirtschaft, Kunststoff             8   \n",
       "G22     Deckel für Chemikalien, Reinigungsmittel (Ohne...             8   \n",
       "Gfoam                             Expandiertes Polystyrol           718   \n",
       "G89                                 Kunststoff-Bauabfälle            71   \n",
       "G3                       Einkaufstaschen, Shoppingtaschen             7   \n",
       "G149                                   Papierverpackungen             7   \n",
       "G175                      Getränkedosen (Dosen, Getränke)             7   \n",
       "G927    Plastikschnur von Rasentrimmern, die zum Schne...             7   \n",
       "G942      Kunststoffspäne von Drehbänken, CNC-Bearbeitung             7   \n",
       "G96     Hygienebinden/Höscheneinlagen/Tampons und Appl...             7   \n",
       "G98                                Windeln – Feuchttücher             7   \n",
       "G27                                      Zigarettenfilter           657   \n",
       "G91     Bio-Filtermaterial  / Trägermaterial aus Kunst...             6   \n",
       "G914    Büroklammern, Wäscheklammern, Gebrauchsgegenst...             6   \n",
       "G170                                   Holz (verarbeitet)             6   \n",
       "G73     Gegenstände aus Schaumstoff & Teilstücke (nich...             6   \n",
       "G65                                                 Eimer             6   \n",
       "G146                                       Papier, Karton             6   \n",
       "G155                Feuerwerkspapierhülsen und -fragmente             6   \n",
       "G126                                                Bälle             6   \n",
       "G137                      Kleidung, Handtücher und Lappen             6   \n",
       "G200             Getränkeflaschen aus Glas, Glasfragmente            59   \n",
       "G4      Kleine Plastikbeutel; Gefrierbeutel, Zippsäckc...             5   \n",
       "Gfrags                          Fragmentierte Kunststoffe           445   \n",
       "G106                       Kunststofffragmente eckig <5mm            41   \n",
       "G198                           Andere Metallteile < 50 cm             4   \n",
       "G20                                    Laschen und Deckel             4   \n",
       "G135    Kleidung, Fussbekleidung, Kopfbedeckung, Hands...             4   \n",
       "G59                         Monofile Angelschnur (Angeln)             4   \n",
       "G26                                             Feuerzeug             4   \n",
       "G100              Medizin; Behälter/Röhrchen/Verpackungen             4   \n",
       "G156                                      Papierfragmente            39   \n",
       "G941            Verpackungsfolien, nicht für Lebensmittel            37   \n",
       "G95                                  Wattestäbchen/Tupfer            36   \n",
       "G25               Tabak; Kunststoffverpackungen, Behälter            36   \n",
       "G177                      Verpackungen aus Aluminiumfolie            35   \n",
       "G115                                     Schaumstoff <5mm            33   \n",
       "G24                   Ringe von Plastikflaschen/Behältern            32   \n",
       "G67                           Industriefolie (Kunststoff)           310   \n",
       "G178          Kronkorken, Lasche von Dose/Ausfreisslachen            31   \n",
       "G21                   Getränke-Deckel, Getränkeverschluss            30   \n",
       "G148                              Kartonkisten und Stücke             3   \n",
       "G186                                     Industrieschrott             3   \n",
       "G919                       Nägel, Schrauben, Bolzen usw.              3   \n",
       "G159                                                 Kork             3   \n",
       "G931    (Absperr)band für Absperrungen, Polizei, Baust...             3   \n",
       "G103                        Kunststofffragmente rund <5mm             3   \n",
       "G142                              Seil, Schnur oder Netze             3   \n",
       "G204                  Baumaterial;  Ziegel, Rohre, Zement             3   \n",
       "G7                             Getränkeflaschen < = 0,5 l             3   \n",
       "G101    Robidog Hundekot-Säcklein, andere Hundekotsäck...             3   \n",
       "G936                             Folien für Gewächshäuser            29   \n",
       "G940               Schaumstoff EVA (flexibler Kunststoff)            27   \n",
       "G10     Lebensmittelbehälter zum einmaligen Gebrauch a...            25   \n",
       "G32                            Spielzeug und Partyartikel            22   \n",
       "G904                      Feuerwerkskörper; Raketenkappen            22   \n",
       "G917                                              Blähton            21   \n",
       "G66     Umreifungsbänder; Hartplastik für Verpackung f...            20   \n",
       "G125                   Luftballons und Luftballonstäbchen            20   \n",
       "G112                           Industriepellets (Nurdles)            20   \n",
       "G29                      Kämme, Bürsten und Sonnenbrillen             2   \n",
       "G203    Geschirr aus Keramik oder Glas, Tassen, Teller...             2   \n",
       "G194    Kabel, Metalldraht oft in Gummi- oder Kunststo...             2   \n",
       "G201                       Gläser, einschliesslich Stücke             2   \n",
       "G908                    Klebeband; elektrisch, isolierend             2   \n",
       "G191                                     Draht und Gitter             2   \n",
       "G921                       Keramikfliesen und Bruchstücke             2   \n",
       "G925    Pakete: Trockenmittel/Feuchtigkeitsabsorber, m...             2   \n",
       "G36     Säcke aus strapazierfähigem Kunststoff für 25 ...             2   \n",
       "G928                                 Bänder und Schleifen             2   \n",
       "G12     Kosmetika, Behälter für Körperpflegeprodukte, ...             2   \n",
       "G6      Flaschen und Behälter aus Kunststoff, nicht fü...             2   \n",
       "G124                                    Andere Kunststoff             2   \n",
       "G161                                   Verarbeitetes Holz             2   \n",
       "G49                                           Seile > 1cm             2   \n",
       "G68                                   Fiberglas-Fragmente             2   \n",
       "G87                  Abdeckklebeband/Verpackungsklebeband             2   \n",
       "G43     Sicherheitsetiketten, Siegel für Fischerei ode...             2   \n",
       "G8                                Getränkeflaschen > 0,5L             2   \n",
       "G134                                      Sonstiges Gummi             2   \n",
       "G93                                           Kabelbinder             2   \n",
       "G35                           Strohhalme und Rührstäbchen            19   \n",
       "G922                               Etiketten, Strichcodes            19   \n",
       "G23                               unidentifizierte Deckel            18   \n",
       "G923    Taschentücher, Toilettenpapier, Servietten, Pa...            18   \n",
       "G30                                    Snack-Verpackungen           160   \n",
       "G31                  Schleckstengel, Stengel von Lutscher            16   \n",
       "G33                 Einwegartikel; Tassen/Becher & Deckel            16   \n",
       "G74                    Schaumstoffverpackungen/Isolierung           156   \n",
       "G211                     Sonstiges medizinisches Material            12   \n",
       "G50                                          Schnur < 1cm            11   \n",
       "G152    Papier &Karton;Zigarettenschachteln, Papier/Ka...            11   \n",
       "G117                                       Styropor < 5mm           107   \n",
       "G153    Papierbecher, Lebensmittelverpackungen aus Pap...            10   \n",
       "G131                                          Gummibänder            10   \n",
       "G213                                       Paraffinwachs             10   \n",
       "G34                          Besteck, Teller und Tabletts            10   \n",
       "G11            Kosmetika für den Strand, z.B. Sonnencreme             1   \n",
       "G53                           Netze und Teilstücke < 50cm             1   \n",
       "G61                                Sonstiges Angelzubehör             1   \n",
       "G901                    Medizinische Masken, synthetische             1   \n",
       "G5                             Plastiksäcke/ Plastiktüten             1   \n",
       "G48                                   Seile, synthetische             1   \n",
       "G70                                 Schrotflintenpatronen             1   \n",
       "G41                  Handschuhe Industriell/Professionell             1   \n",
       "G38     Abdeckungen; Kunststoffverpackungen, Folien zu...             1   \n",
       "G114                                          Folien <5mm             1   \n",
       "G133                  Kondome einschließlich Verpackungen             1   \n",
       "G905    Haarspangen, Haargummis, persönliche Accessoir...             1   \n",
       "G926                    Kaugummi, enthält oft Kunststoffe             1   \n",
       "G132                                   Schwimmer (Angeln)             1   \n",
       "G99                                     Spritzen - Nadeln             1   \n",
       "G144                                              Tampons             1   \n",
       "G154                         Zeitungen oder Zeitschriften             1   \n",
       "G939                 Kunststoffblumen, Kunststoffpflanzen             1   \n",
       "G933    Taschen, Etuis für Zubehör, Brillen, Elektroni...             1   \n",
       "G17              Kartuschen von Kartuschen-spritzpistolen             1   \n",
       "G930                               Schaumstoff-Ohrstöpsel             1   \n",
       "G929       Elektronik und Teile; Sensoren, Headsets usw.              1   \n",
       "G176                   Konservendosen (Lebensmitteldosen)             1   \n",
       "G179                                         Einweg Grill             1   \n",
       "G71                                       Schuhe Sandalen             1   \n",
       "G92                                         Köderbehälter             1   \n",
       "G197                                     sonstiges Metall             1   \n",
       "G907                         Kaffeekapseln aus Kunststoff             1   \n",
       "G119                      Folienartiger Kunststoff (>1mm)             1   \n",
       "G711                                          Handwärmer              0   \n",
       "G712                                        Skihandschuhe             0   \n",
       "G713                                        Skiförderband             0   \n",
       "G111                           Kugelförmige Pellets < 5mm             0   \n",
       "G710    Ski / Snowboards (Ski, Befestigungen und ander...             0   \n",
       "G94                                             Tischtuch             0   \n",
       "G108                         Scheibenförmige Pellets <5mm             0   \n",
       "G97                     Behälter von Toilettenerfrischer              0   \n",
       "G102                                           Flip-Flops             0   \n",
       "G913                                            Schnuller             0   \n",
       "G945                                        Rasierklingen             0   \n",
       "G944              Pelletmasse aus dem Spritzgussverfahren             0   \n",
       "G84                                      CD oder CD-Hülle             0   \n",
       "G104    Kunststofffragmente abgerundet / rundlich  <5m...             0   \n",
       "G999    Keine Gegenstände bei dieser Erhebung/Studie g...             0   \n",
       "G88                                   Telefon inkl. Teile             0   \n",
       "G105                  Kunststofffragmente subangulär <5mm             0   \n",
       "G709    Teller von Skistock (runder Teil aus Plastik u...             0   \n",
       "G902                           Medizinische Masken, Stoff             0   \n",
       "G918    Sicherheitsnadeln, Büroklammern, kleine Gebrau...             0   \n",
       "G916                           Bleistifte und Bruchstücke             0   \n",
       "G915        Reflektoren, Mobilitätsartikel aus Kunststoff             0   \n",
       "G932    Bio-Beads, Mikroplastik für die Abwasserbehand...             0   \n",
       "G107                            Zylindrische Pellets <5mm             0   \n",
       "G934    Sandsäcke, Kunststoff für Hochwasser- und Eros...             0   \n",
       "G903    Behälter und Packungen für Handdesinfektionsmi...             0   \n",
       "G906                              Kaffeekapseln Aluminium             0   \n",
       "G937                          Pheromonköder für Weinberge             0   \n",
       "G900       Handschuhe Latex, persönliche Schutzausrüstung             0   \n",
       "G109                                  Flache Pellets <5mm             0   \n",
       "G938                    Zahnstocher, Zahnseide Kunststoff             0   \n",
       "G9      Flaschen und Behälter für Reinigungsmittel und...             0   \n",
       "G935    Gummi-Puffer für Geh- und Wanderstöcke und Tei...             0   \n",
       "G40                            Handschuhe Haushalt/Garten             0   \n",
       "G708                                            Skistöcke             0   \n",
       "G158                      Sonstige Gegenstände aus Papier             0   \n",
       "G183                                 Teile von Angelhaken             0   \n",
       "G182       Angeln; Haken, Gewichte, Köder, Senkblei, usw.             0   \n",
       "G181            Geschirr aus Metall, Tassen, Besteck usw.             0   \n",
       "G180                                      Haushaltsgeräte             0   \n",
       "G123                           Polyurethan-Granulat < 5mm             0   \n",
       "G174                                    Aerosolspraydosen             0   \n",
       "G173                                            Sonstiges             0   \n",
       "G172                               Sonstiges Holz > 50 cm             0   \n",
       "G171                                Sonstiges Holz < 50cm             0   \n",
       "G168                                          Holzbretter             0   \n",
       "G167                        Streichhölzer oder Feuerwerke             0   \n",
       "G166                                           Farbpinsel             0   \n",
       "G162                                               Kisten             0   \n",
       "G160                                             Paletten             0   \n",
       "G157                                               Papier             0   \n",
       "G188                       Andere Kanister/Behälter < 4 L             0   \n",
       "G128                            Reifen und Antriebsriemen             0   \n",
       "G151                                   Tetrapack, Kartons             0   \n",
       "G150                              Milchkartons, Tetrapack             0   \n",
       "G129                           Schläuche und Gummiplatten             0   \n",
       "G147                    Papiertragetaschen, (Papiertüten)             0   \n",
       "G13     Flaschen, Behälter, Fässer zum Transportieren ...             0   \n",
       "G145                                     Andere Textilien             0   \n",
       "G143                                  Segel und Segeltuch             0   \n",
       "G141                                             Teppiche             0   \n",
       "G140       Sack oder Beutel (Tragetasche), Jute oder Hanf             0   \n",
       "G14                Flaschen für Motoröl (Motorölflaschen)             0   \n",
       "G139                                            Rucksäcke             0   \n",
       "G138                                  Schuhe und Sandalen             0   \n",
       "G136                                               Schuhe             0   \n",
       "G185                            Behälter mittlerer Grösse             0   \n",
       "G19                                             Autoteile             0   \n",
       "G707                                Skiausrüstungsetikett             0   \n",
       "G39                                            Handschuhe             0   \n",
       "G706                                        Skiabonnement             0   \n",
       "G705                                 Schrauben und Bolzen             0   \n",
       "G704                                      Seilbahnbürsten             0   \n",
       "G703                   Pistenmarkierungspfosten (Plastik)             0   \n",
       "G702                      Pistenmarkierungspfosten (Holz)             0   \n",
       "G64                                             Kotflügel             0   \n",
       "G63                                                 Bojen             0   \n",
       "G62                                   Schwimmer für Netze             0   \n",
       "G60                    Lichtstab, Knicklicht, Glow-sticks             0   \n",
       "G113                                           Fäden <5mm             0   \n",
       "G56                                     Verhedderte Netze             0   \n",
       "G55                              Angelschnur (verwickelt)             0   \n",
       "G52                                  Netze und Teilstücke             0   \n",
       "G51                                           Fischernetz             0   \n",
       "G37                     Netzbeutel, Netztasche, Netzsäcke             0   \n",
       "G190                Farbtöpfe, Farbbüchsen,  ( Farbeimer)             0   \n",
       "G28                  Stifte, Deckel, Druckbleistifte usw.             0   \n",
       "G116                                        Granulat <5mm             0   \n",
       "G214                                              Öl/Teer             0   \n",
       "G210                   Sonstiges Glas/Keramik Materialien             0   \n",
       "G118                   Kleine Industrielle Kügelchen <5mm             0   \n",
       "G207                       Tonkrüge zum Fangen von Kraken             0   \n",
       "G205                                    Leuchtstoffröhren             0   \n",
       "G202                                           Glühbirnen             0   \n",
       "G2                                         Säcke, Taschen             0   \n",
       "G199                           Andere Metallteile > 50 cm             0   \n",
       "G122                           Kunststofffragmente (>1mm)             0   \n",
       "G196                       Grosse metallische Gegenstände             0   \n",
       "G195                                 Batterien (Haushalt)             0   \n",
       "G193                    Teile von Autos und Autobatterien             0   \n",
       "G1                                          Sixpack-Ringe             0   \n",
       "\n",
       "        Anteil  p/100 m  Häufigkeitsrate     Material  \n",
       "code                                                   \n",
       "G90          0        0               22      Plastik  \n",
       "G208         0        0               19         Glas  \n",
       "G165         0        0               16         Holz  \n",
       "G943         0        0               12      Plastik  \n",
       "G22          0        0               16      Plastik  \n",
       "Gfoam       19        9               93      Plastik  \n",
       "G89          1        2               64      Plastik  \n",
       "G3           0        0               19      Plastik  \n",
       "G149         0        0                6       Papier  \n",
       "G175         0        0               19       Metall  \n",
       "G927         0        0               16      Plastik  \n",
       "G942         0        0                9      Plastik  \n",
       "G96          0        0               19      Plastik  \n",
       "G98          0        0               16      Plastik  \n",
       "G27         17       19               96      Plastik  \n",
       "G91          0        0                9      Plastik  \n",
       "G914         0        0               12      Plastik  \n",
       "G170         0        0                9         Holz  \n",
       "G73          0        0                9      Plastik  \n",
       "G65          0        0                9      Plastik  \n",
       "G146         0        0                9       Papier  \n",
       "G155         0        0                6       Papier  \n",
       "G126         0        0               16        Gummi  \n",
       "G137         0        0               16        Stoff  \n",
       "G200         1        1               61         Glas  \n",
       "G4           0        0               12      Plastik  \n",
       "Gfrags      12       12               87      Plastik  \n",
       "G106         1        0               22      Plastik  \n",
       "G198         0        0               12       Metall  \n",
       "G20          0        0                6      Plastik  \n",
       "G135         0        0                9        Stoff  \n",
       "G59          0        0                6      Plastik  \n",
       "G26          0        0                9      Plastik  \n",
       "G100         0        0                9      Plastik  \n",
       "G156         1        0               45       Papier  \n",
       "G941         1        0               29      Plastik  \n",
       "G95          0        0               48      Plastik  \n",
       "G25          0        0               41      Plastik  \n",
       "G177         0        0               38       Metall  \n",
       "G115         0        0               12      Plastik  \n",
       "G24          0        1               61      Plastik  \n",
       "G67          8        5               87      Plastik  \n",
       "G178         0        1               54       Metall  \n",
       "G21          0        0               45      Plastik  \n",
       "G148         0        0                6       Papier  \n",
       "G186         0        0                9       Metall  \n",
       "G919         0        0                6       Metall  \n",
       "G159         0        0                9         Holz  \n",
       "G931         0        0                6      Plastik  \n",
       "G103         0        0                3      Plastik  \n",
       "G142         0        0                9        Stoff  \n",
       "G204         0        0                6         Glas  \n",
       "G7           0        0                6      Plastik  \n",
       "G101         0        0                9      Plastik  \n",
       "G936         0        0               29      Plastik  \n",
       "G940         0        0               12      Plastik  \n",
       "G10          0        0               38      Plastik  \n",
       "G32          0        0               45      Plastik  \n",
       "G904         0        0               35      Plastik  \n",
       "G917         0        0               19         Glas  \n",
       "G66          0        0               38      Plastik  \n",
       "G125         0        0               32        Gummi  \n",
       "G112         0        0               22      Plastik  \n",
       "G29          0        0                6      Plastik  \n",
       "G203         0        0                6         Glas  \n",
       "G194         0        0                6       Metall  \n",
       "G201         0        0                3         Glas  \n",
       "G908         0        0                6      Plastik  \n",
       "G191         0        0                6       Metall  \n",
       "G921         0        0                3         Glas  \n",
       "G925         0        0                6      Plastik  \n",
       "G36          0        0                6      Plastik  \n",
       "G928         0        0                6      Plastik  \n",
       "G12          0        0                6      Plastik  \n",
       "G6           0        0                3      Plastik  \n",
       "G124         0        0                6      Plastik  \n",
       "G161         0        0                6         Holz  \n",
       "G49          0        0                6      Plastik  \n",
       "G68          0        0                6      Plastik  \n",
       "G87          0        0                6      Plastik  \n",
       "G43          0        0                3      Plastik  \n",
       "G8           0        0                6      Plastik  \n",
       "G134         0        0                6        Gummi  \n",
       "G93          0        0                6      Plastik  \n",
       "G35          0        0               38      Plastik  \n",
       "G922         0        0               29      Plastik  \n",
       "G23          0        0               38      Plastik  \n",
       "G923         0        0               32       Papier  \n",
       "G30          4        6               80      Plastik  \n",
       "G31          0        0               29      Plastik  \n",
       "G33          0        0               25      Plastik  \n",
       "G74          4        4               61      Plastik  \n",
       "G211         0        0               25      Plastik  \n",
       "G50          0        0               32      Plastik  \n",
       "G152         0        0               12       Papier  \n",
       "G117         2        0               45      Plastik  \n",
       "G153         0        0               16       Papier  \n",
       "G131         0        0               19        Gummi  \n",
       "G213         0        0               12  Chemikalien  \n",
       "G34          0        0               16      Plastik  \n",
       "G11          0        0                3      Plastik  \n",
       "G53          0        0                3      Plastik  \n",
       "G61          0        0                3      Plastik  \n",
       "G901         0        0                3      Plastik  \n",
       "G5           0        0                3      Plastik  \n",
       "G48          0        0                3      Plastik  \n",
       "G70          0        0                3      Plastik  \n",
       "G41          0        0                3      Plastik  \n",
       "G38          0        0                3      Plastik  \n",
       "G114         0        0                3      Plastik  \n",
       "G133         0        0                3        Gummi  \n",
       "G905         0        0                3      Plastik  \n",
       "G926         0        0                3      Plastik  \n",
       "G132         0        0                3        Gummi  \n",
       "G99          0        0                3      Plastik  \n",
       "G144         0        0                3        Stoff  \n",
       "G154         0        0                3       Papier  \n",
       "G939         0        0                3      Plastik  \n",
       "G933         0        0                3      Plastik  \n",
       "G17          0        0                3      Plastik  \n",
       "G930         0        0                3      Plastik  \n",
       "G929         0        0                3       Metall  \n",
       "G176         0        0                3       Metall  \n",
       "G179         0        0                3       Metall  \n",
       "G71          0        0                3      Plastik  \n",
       "G92          0        0                3      Plastik  \n",
       "G197         0        0                3       Metall  \n",
       "G907         0        0                3      Plastik  \n",
       "G119         0        0                3      Plastik  \n",
       "G711         0        0                0      Plastik  \n",
       "G712         0        0                0        Stoff  \n",
       "G713         0        0                0      Plastik  \n",
       "G111         0        0                0      Plastik  \n",
       "G710         0        0                0      Plastik  \n",
       "G94          0        0                0      Plastik  \n",
       "G108         0        0                0      Plastik  \n",
       "G97          0        0                0      Plastik  \n",
       "G102         0        0                0      Plastik  \n",
       "G913         0        0                0      Plastik  \n",
       "G945         0        0                0       Metall  \n",
       "G944         0        0                0      Plastik  \n",
       "G84          0        0                0      Plastik  \n",
       "G104         0        0                0      Plastik  \n",
       "G999         0        0                0    Unbekannt  \n",
       "G88          0        0                0      Plastik  \n",
       "G105         0        0                0      Plastik  \n",
       "G709         0        0                0      Plastik  \n",
       "G902         0        0                0        Stoff  \n",
       "G918         0        0                0       Metall  \n",
       "G916         0        0                0         Holz  \n",
       "G915         0        0                0      Plastik  \n",
       "G932         0        0                0      Plastik  \n",
       "G107         0        0                0      Plastik  \n",
       "G934         0        0                0      Plastik  \n",
       "G903         0        0                0      Plastik  \n",
       "G906         0        0                0       Metall  \n",
       "G937         0        0                0      Plastik  \n",
       "G900         0        0                0        Gummi  \n",
       "G109         0        0                0      Plastik  \n",
       "G938         0        0                0      Plastik  \n",
       "G9           0        0                0      Plastik  \n",
       "G935         0        0                0      Plastik  \n",
       "G40          0        0                0      Plastik  \n",
       "G708         0        0                0       Metall  \n",
       "G158         0        0                0       Papier  \n",
       "G183         0        0                0       Metall  \n",
       "G182         0        0                0       Metall  \n",
       "G181         0        0                0       Metall  \n",
       "G180         0        0                0       Metall  \n",
       "G123         0        0                0      Plastik  \n",
       "G174         0        0                0       Metall  \n",
       "G173         0        0                0         Holz  \n",
       "G172         0        0                0         Holz  \n",
       "G171         0        0                0         Holz  \n",
       "G168         0        0                0         Holz  \n",
       "G167         0        0                0         Holz  \n",
       "G166         0        0                0         Holz  \n",
       "G162         0        0                0         Holz  \n",
       "G160         0        0                0         Holz  \n",
       "G157         0        0                0       Papier  \n",
       "G188         0        0                0       Metall  \n",
       "G128         0        0                0        Gummi  \n",
       "G151         0        0                0       Papier  \n",
       "G150         0        0                0       Papier  \n",
       "G129         0        0                0        Gummi  \n",
       "G147         0        0                0       Papier  \n",
       "G13          0        0                0      Plastik  \n",
       "G145         0        0                0        Stoff  \n",
       "G143         0        0                0        Stoff  \n",
       "G141         0        0                0        Stoff  \n",
       "G140         0        0                0        Stoff  \n",
       "G14          0        0                0      Plastik  \n",
       "G139         0        0                0        Stoff  \n",
       "G138         0        0                0        Stoff  \n",
       "G136         0        0                0        Stoff  \n",
       "G185         0        0                0       Metall  \n",
       "G19          0        0                0      Plastik  \n",
       "G707         0        0                0      Plastik  \n",
       "G39          0        0                0      Plastik  \n",
       "G706         0        0                0      Plastik  \n",
       "G705         0        0                0       Metall  \n",
       "G704         0        0                0      Plastik  \n",
       "G703         0        0                0      Plastik  \n",
       "G702         0        0                0         Holz  \n",
       "G64          0        0                0      Plastik  \n",
       "G63          0        0                0      Plastik  \n",
       "G62          0        0                0      Plastik  \n",
       "G60          0        0                0      Plastik  \n",
       "G113         0        0                0      Plastik  \n",
       "G56          0        0                0      Plastik  \n",
       "G55          0        0                0      Plastik  \n",
       "G52          0        0                0      Plastik  \n",
       "G51          0        0                0      Plastik  \n",
       "G37          0        0                0      Plastik  \n",
       "G190         0        0                0       Metall  \n",
       "G28          0        0                0      Plastik  \n",
       "G116         0        0                0      Plastik  \n",
       "G214         0        0                0  Chemikalien  \n",
       "G210         0        0                0         Glas  \n",
       "G118         0        0                0      Plastik  \n",
       "G207         0        0                0         Glas  \n",
       "G205         0        0                0         Glas  \n",
       "G202         0        0                0         Glas  \n",
       "G2           0        0                0      Plastik  \n",
       "G199         0        0                0       Metall  \n",
       "G122         0        0                0      Plastik  \n",
       "G196         0        0                0       Metall  \n",
       "G195         0        0                0       Metall  \n",
       "G193         0        0                0       Metall  \n",
       "G1           0        0                0      Plastik  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option(\"display.max_rows\", None)\n",
    "complete_inventory = fdx.code_summary.copy()\n",
    "complete_inventory[\"quantity\"] = complete_inventory[\"quantity\"].map(lambda x: featuredata.thousandsSeparator(x, language))\n",
    "complete_inventory[\"% of total\"] = complete_inventory[\"% of total\"].astype(int)\n",
    "complete_inventory[unit_label] = complete_inventory[unit_label].astype(int)\n",
    "complete_inventory.rename(columns=featuredata.inventory_table_de, inplace=True)\n",
    "    \n",
    "# inventory_subsection = Paragraph(\"Inventar der Objekte\", featuredata.subsection_title)\n",
    "col_widths=[1.2*cm, 5.5*cm, 2.2*cm, 1.5*cm, 1.5*cm, 2.4*cm, 1.5*cm]\n",
    "inventory_table = aStyledTableWithTitleRow(complete_inventory, title=\"Inventar der Objekte\", colWidths=col_widths)\n",
    "new_map_image =  Image('resources/maps/walensee_location_labels.jpeg', width=cm*14, height=11*cm, kind=\"proportional\", hAlign= \"CENTER\")\n",
    "new_components = [\n",
    "    KeepTogether([\n",
    "        featuredata.large_space,\n",
    "        location_subsection,\n",
    "        featuredata.small_space,\n",
    "        new_map_image,\n",
    "        featuredata.small_space,        \n",
    "        pdf_table,\n",
    "        \n",
    "    ]),\n",
    "    featuredata.large_space,\n",
    "    inventory_table\n",
    "]\n",
    "    \n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "complete_inventory.sort_values(by=\"Objekte (St.)\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [],
   "source": [
    "doc = SimpleDocTemplate(pdf_link, pagesize=A4, leftMargin=2.5*cm, rightMargin=2.5*cm, topMargin=2.5*cm, bottomMargin=1*cm)\n",
    "\n",
    "pageinfo = f'IQAASL/See/Zusammengefasste/{this_feature[\"name\"]}'\n",
    "\n",
    "\n",
    "source_prefix = \"https://hammerdirt-analyst.github.io/IQAASL-End-0f-Sampling-2021/\"\n",
    "source = f\"{this_feature['slug']}.html\"\n",
    "\n",
    "link_to_source = f'{source_prefix}{source}'\n",
    "\n",
    "def myLaterPages(canvas, doc):\n",
    "    canvas.saveState()\n",
    "    canvas.setLineWidth(.001*cm)\n",
    "    canvas.setFillAlpha(.8)\n",
    "    canvas.line(2.5*cm, 27.6*cm,  18.5*cm, 27.6*cm) \n",
    "    canvas.setFont('Times-Roman',9)\n",
    "    canvas.drawString(2.5*cm, 1*cm, link_to_source)\n",
    "    canvas.drawString(18.5*cm, 1*cm,  \"S.%d \" % (doc.page,))\n",
    "    canvas.drawString(2.5*cm, 27.7*cm, pageinfo)\n",
    "    canvas.restoreState()\n",
    "    \n",
    "doc.build(pdfcomponents,  onFirstPage=myLaterPages, onLaterPages=myLaterPages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}