stats.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "39dd2a43-7d2e-42b1-bc28-2f61976c86a2",
   "metadata": {},
   "source": [
    "# Paper statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f05a2c4-ba3b-47ad-b496-7910be18493e",
   "metadata": {},
   "source": [
    "## netCDF distribution by aggregation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c868dd45-3832-4660-80cf-238a6d23baf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import zipfile\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fd06e89f-fbee-4796-9007-fa17884fcc63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"darkgrid\"):\n",
    "    fig, ax = plt.subplots(1,1, figsize=(8, 4))\n",
    "\n",
    "    with zipfile.ZipFile(\"ncml_dist.csv.zip\", \"r\") as zip_file:\n",
    "        df = pd.read_csv(zip_file.namelist()[0], names=[\"name\", \"count\"], skiprows=1)\n",
    "\n",
    "    bins = [0, 1, 5, 10, 100, 1000, df[\"count\"].max()]\n",
    "    cuts = pd.cut(df[\"count\"], bins=bins).value_counts(sort=False)\n",
    "    cuts.plot.bar(rot=0, color=\"b\", ax=ax)\n",
    "    ax.set_xticklabels([\"<={}\\n{}%\".format(c.right, round(v/len(df)*100,2)) for c,v in zip(cuts.index.categories, cuts.values)])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4dab24f0-e86b-4825-ac09-2d8a9aebe7a7",
   "metadata": {},
   "source": [
    "## Chunking times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "94e360a8-cf9b-4627-9160-255a3ad44e01",
   "metadata": {},
   "outputs": [],
   "source": [
    "import netCDF4\n",
    "import timeit\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "121c8b4c-1171-43bb-a10c-d6edb137d6e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def test(dset):\n",
    "    return dset[...].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a780b90a-94af-487e-8722-a7e4d8f7a61a",
   "metadata": {},
   "outputs": [],
   "source": [
    "sizes = [256, 512, 1024, 2048, 4096, 8192]\n",
    "results = []\n",
    "\n",
    "for size in sizes:\n",
    "    with netCDF4.Dataset(\"test.nc\", \"w\") as f:\n",
    "        f.createDimension(\"time\", size)\n",
    "        f.createVariable(\"time1\", \"f8\", (\"time\",))\n",
    "        f.createVariable(\"time2\", \"f8\", (\"time\",), chunksizes=(1,))\n",
    "\n",
    "        f[\"time1\"][...] = list(range(size))\n",
    "        f[\"time2\"][...] = list(range(size))\n",
    "\n",
    "    with netCDF4.Dataset(\"test.nc\", \"r\") as f:\n",
    "        results.append(timeit.timeit(lambda : test(f[\"time1\"]), number=100))\n",
    "        results.append(timeit.timeit(lambda : test(f[\"time2\"]), number=100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "269c88b4-5a3e-45a8-9f92-bf4f9d4f0e55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "netcdf test {\n",
      "dimensions:\n",
      "\ttime = 8192 ;\n",
      "variables:\n",
      "\tdouble time1(time) ;\n",
      "\t\ttime1:_Storage = \"contiguous\" ;\n",
      "\t\ttime1:_Endianness = \"little\" ;\n",
      "\tdouble time2(time) ;\n",
      "\t\ttime2:_Storage = \"chunked\" ;\n",
      "\t\ttime2:_ChunkSizes = 1 ;\n",
      "\t\ttime2:_Endianness = \"little\" ;\n",
      "\n",
      "// global attributes:\n",
      "\t\t:_NCProperties = \"version=2,netcdf=4.9.2,hdf5=1.14.2\" ;\n",
      "\t\t:_SuperblockVersion = 2 ;\n",
      "\t\t:_IsNetcdf4 = 1 ;\n",
      "\t\t:_Format = \"netCDF-4\" ;\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "!ncdump -hs test.nc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "319062f3-1ecd-484c-aa7d-0c066175772b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.017187107001518598,\n",
       " 0.041888941999786766,\n",
       " 0.014517129999148892,\n",
       " 0.06677054299871088,\n",
       " 0.014807597999606514,\n",
       " 0.14525874700120767,\n",
       " 0.015400944001157768,\n",
       " 0.370491863002826,\n",
       " 0.015241618002619362,\n",
       " 0.9814411840015964,\n",
       " 0.015440570001373999,\n",
       " 2.5705285069998354]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2b83683c-056f-4d66-8be5-5be1b90b1b56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Load time for sizes [256, 512, 1024, 2048, 4096, 8192]')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(sizes, results[0::2], label=\"Contiguous\")\n",
    "plt.plot(sizes, results[1::2], label=\"Chunksizes = 1\")\n",
    "plt.legend()\n",
    "plt.xlabel(\"Size of the time dimension\")\n",
    "plt.ylabel(\"Time to load the time values\")\n",
    "plt.title(\"Load time for sizes [256, 512, 1024, 2048, 4096, 8192]\")"
   ]
  }
 ],
 "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": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}