testes.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "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>diametro</th>\n",
       "      <th>preco</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>24</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>28</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>30</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>32</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>34</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>36</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>38</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>40</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    diametro  preco\n",
       "0         20     50\n",
       "1         22     55\n",
       "2         24     60\n",
       "3         26     65\n",
       "4         28     70\n",
       "5         30     75\n",
       "6         32     80\n",
       "7         34     85\n",
       "8         36     90\n",
       "9         38     95\n",
       "10        40    100"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\"pizzas.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Matplotlib is building the font cache; this may take a moment.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind=\"scatter\", x=\"diametro\", y=\"preco\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LinearRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LinearRegression.html\">?<span>Documentation for LinearRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LinearRegression()</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import linear_model\n",
    "\n",
    "modelo = linear_model.LinearRegression()\n",
    "x = df[[\"diametro\"]]\n",
    "y = df[[\"preco\"]]\n",
    "\n",
    "modelo.fit(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "57.49999999999999\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\x397812\\AppData\\Local\\anaconda3\\Lib\\site-packages\\sklearn\\base.py:493: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "print(modelo.predict([[23]])[0][0])"
   ]
  }
 ],
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