AIM-PIbd-32-Kamcharova-K-A/lab_1/lab1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Hello**  \n",
    "#Блок комментов     \n",
    "Толстый - ** **\n",
    "Курсив - * *\n",
    "Зачеркнутый - ~~ ~~ \n",
    "Выводок колонок: print(df.columns)\n",
    "\n",
    "df.info() - информация о всех колонках в таблице (сколько записей в каждой колонке, какой тип данных в записи)\n",
    "\n",
    ".transpose() - транспонировать матрицу\n",
    "df.drop() - возвращает таблицу с убраннами столбцами ()  axis = ось (0 или index - значит строки/1 или coloumns - столбцы) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Store ID ', 'Store_Area', 'Items_Available', 'Daily_Customer_Count',\n",
      "       'Store_Sales'],\n",
      "      dtype='object')\n"
     ]
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Начало начал\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import date\n",
    "\n",
    "df = pd.read_csv(\".//static//csv//Stores.csv\")\n",
    "print(df.columns)\n",
    "\n",
    "srez = df.sort_values(\"Store_Sales\").head(5)\n",
    "\n",
    "# Диаграмма цен:\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.pie(\n",
    "    srez[\"Store_Sales\"],\n",
    "    labels=srez[\"Store ID \"],  # type: ignore\n",
    "    autopct=\"%1.1f%%\",\n",
    "\n",
    ")\n",
    "plt.show()\n",
    "#Диаграмма-сравнение топ 5 магазинов по распродажам в процентной доли рынка от топ 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Store_Sales', ylabel='Store_Area'>"
      ]
     },
     "execution_count": 58,
     "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": [
    "\n",
    "df.plot.scatter(x=\"Store_Sales\", y=\"Daily_Customer_Count\")\n",
    "#Распределение распродаж в зависимости от кол-ва посетителей"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjAAAAG1CAYAAADnZM6ZAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABdgklEQVR4nO3deVhU1f8H8PewgzAgICACiqK4oCyuaG5JLJrmUqapaW5poLkTGaZmYlqWtmj1dWnRLMt9K0IBF9xFRJTUUDQWVxhAWef8/vDn1AgKgxeYgffreebJufecz5xj4ry9y7kyIYQAERERkQ7Rq+kBEBEREWmKAYaIiIh0DgMMERER6RwGGCIiItI5DDBERESkcxhgiIiISOcwwBAREZHOYYAhIiIincMAQ0RERDqHAYaIiIh0jkYBJiIiAh07doSFhQXs7OwwcOBAJCcnq/ZfvXoVMpmszNfmzZtV7crav2nTJrXPio6Oho+PD4yNjeHm5ob169c/20yJiIio1tAowMTExCA4OBhHjx5FZGQkioqK4O/vj7y8PACAs7Mz0tPT1V4LFiyAubk5goKC1GqtW7dOrd3AgQNV+1JSUtCvXz/07t0b8fHxmDZtGsaPH4/ff//92WdMREREOk/2LA9zvHXrFuzs7BATE4MePXqU2cbb2xs+Pj5Ys2bNvx8qk2Hr1q1qoeW/QkNDsXv3biQmJqq2DRs2DFlZWdi3b1+FxqZUKpGWlgYLCwvIZLKKT4qIiIhqjBACOTk5cHR0hJ7eU46ziGdw6dIlAUCcO3euzP0nT54UAMThw4fVtgMQjo6OwsbGRnTs2FGsWbNGKJVK1f7u3buLt99+W63P2rVrhVwuf+JY8vPzRXZ2tuqVlJQkAPDFF1988cUXXzr4un79+lMziAEqSalUYtq0aejWrRs8PDzKbLNmzRq0atUKXbt2Vdu+cOFCPP/88zAzM8Mff/yBt956C7m5uZg6dSoAICMjA/b29mp97O3toVAo8ODBA5iampb6rIiICCxYsKDU9uvXr0Mul1d2mkRERFSNFAoFnJ2dYWFh8dR2lQ4wwcHBSExMxKFDh8rc/+DBA2zcuBHh4eGl9v13m7e3N/Ly8rBs2TJVgKmMsLAwzJgxQ/X+0W+AXC5ngCEiItIx5V3+UanbqENCQrBr1y4cOHAATk5OZbb59ddfcf/+fbz++uvl1uvcuTNu3LiBgoICAICDgwMyMzPV2mRmZkIul5d59AUAjI2NVWGFoYWIiKh20yjACCEQEhKCrVu3Yv/+/XB1dX1i2zVr1mDAgAFo0KBBuXXj4+NRv359GBsbAwB8fX0RFRWl1iYyMhK+vr6aDJeIiIhqKY1OIQUHB2Pjxo3Yvn07LCwskJGRAQCwtLRUOzJy+fJlxMbGYs+ePaVq7Ny5E5mZmejSpQtMTEwQGRmJxYsXY9asWao2kyZNwhdffIE5c+Zg7Nix2L9/P3755Rfs3r27svMkIiKiWkSj26ifdD5q3bp1GDNmjOr9u+++ix9//BFXr14tdQvUvn37EBYWhsuXL0MIATc3N0yePBkTJkxQaxsdHY3p06cjKSkJTk5OCA8PV/uM8igUClhaWiI7O/upp5NKSkpQVFRU4bpElWVoaAh9ff2aHgYRkVar6Pf3M60Do83K+w0QQiAjIwNZWVnVPziqs6ysrODg4MC1iYiInqCiAabSdyHpukfhxc7ODmZmZvxCoSolhMD9+/dx8+ZNAEDDhg1reERERLqtTgaYkpISVXixsbGp6eFQHfHoOrGbN2/Czs6Op5OIiJ5BnXwa9aNrXszMzGp4JFTXPPozx+uuiIieTZ0MMI/wtBFVN/6ZIyKSRp0OMERERKSbGGCoVpg/fz68vLxU78eMGfPEp52X5erVq5DJZIiPj39im+joaMhkMt65RkSkBRhgdMx/v5h79eqFadOm1eh4NPHmm29CX18fmzdvlrz2rFmzSq3eTEREtRcDDFWL+/fvY9OmTZgzZw7Wrl0reX1zc3PeUUZEVI3yi0pq9PMZYHTUmDFjEBMTgxUrVkAmk0Emk+Hq1asAgMTERAQFBcHc3Bz29vYYNWoUbt++rerbq1cvTJkyBdOmTUP9+vVhb2+Pb7/9Fnl5eXjjjTdgYWEBNzc37N27V9Xn3r17GDFiBBo0aABTU1M0b94c69atq/B4N2/ejNatW+Odd95BbGwsrl+/DuDhgkWmpqZqnwUAW7duhYWFBe7fvw8ACA0NRYsWLWBmZoamTZsiPDxc7U6ex08hPW7fvn147rnnYGVlBRsbG7z44ou4cuVKqXYXL15E165dYWJiAg8PD8TExDx1XocOHUL37t1hamoKZ2dnTJ06FXl5eRX9bSEi0jlpWQ8wdHUcvBb+gUuZOTU2DgYY/P8iY4XFNfKq7ELIK1asgK+vLyZMmID09HSkp6fD2dkZWVlZeP755+Ht7Y2TJ09i3759yMzMxNChQ9X6f/fdd7C1tcXx48cxZcoUTJ48Ga+88gq6du2K06dPw9/fH6NGjVIFiPDwcCQlJWHv3r24cOECVq1aBVtb2wqPd82aNRg5ciQsLS0RFBSE9evXAwDkcjlefPFFbNy4Ua39hg0bMHDgQNVtxxYWFli/fj2SkpKwYsUKfPvtt/j0008r/Pl5eXmYMWMGTp48iaioKOjp6WHQoEFQKpVq7WbPno2ZM2fizJkz8PX1Rf/+/XHnzp0ya165cgWBgYEYMmQIEhIS8PPPP+PQoUMICQmp8LiIiHRJ1IVM9F15EMev3oWhnh7MjGtuObk6+SiB/Px8pKSkwNXVFSYmJrhfWIzW836vkXEmLQyAmVHF/wCMGTMGWVlZ2LZtG3r16gUvLy989tlnqv2LFi3CwYMH8fvv/87nxo0bcHZ2RnJyMlq0aIFevXqhpKQEBw8eBPBwYT9LS0sMHjwY33//PYCHKxU3bNgQcXFx6NKlCwYMGABbW9tKnf65dOkS2rRpg7S0NNja2mLbtm2YMWMGrly5AplMhm3btmHUqFHIzMyEmZkZFAoF7O3tsXXrVgQGBpZZ8+OPP8amTZtw8uRJAA+PwGzbtk11Ee5/f5/Kcvv2bTRo0ADnzp2Dh4cHrl69CldXVyxZsgShoaEAgOLiYri6umLKlCmYM2cOoqOj0bt3b9y7dw9WVlYYP3489PX18fXXX6vqHjp0CD179kReXh5MTExKfe7jf/aIiHRBUYkSy35PxjexfwMAWjWUY9UIHzSxrSf5Z1X0UQI8AlPLnD17FgcOHIC5ubnq1bJlSwBQO2XSrl071a/19fVhY2ODtm3bqrbZ29sDgGrp+8mTJ2PTpk3w8vLCnDlzcOTIkQqPae3atQgICFAdsenbty+ys7Oxf/9+1XtDQ0Ps2LEDAPDbb79BLpfDz89PVePnn39Gt27d4ODgAHNzc7z33ntITU2t8BguXbqE4cOHo2nTppDL5WjSpAkAlKrh6+ur+rWBgQE6dOiACxculFnz7NmzWL9+vdrvdUBAAJRKJVJSUio8NiIibXbj3n10+vBPVXh5tYMztr7VtUrCiybq5KMEHmdqqI+khQE19tlSys3NRf/+/fHRRx+V2vff5+8YGhqq7ZPJZGrbHi249ugUS1BQEK5du4Y9e/YgMjISffr0QXBwMD7++OOnjqekpATfffcdMjIyYGBgoLZ97dq16NOnD4yMjPDyyy9j48aNGDZsGDZu3IhXX31V1T4uLg4jRozAggULEBAQAEtLS2zatAmffPJJhX9f+vfvj8aNG+Pbb7+Fo6MjlEolPDw8UFhYWOEaj8vNzcWbb76JqVOnltrn4uJS6bpERNrip+OpCNtyTvV+6cvtMLSDcw2O6F8MMHj4Za3JaRxtYWRkhJIS9avAfXx88Ntvv6FJkyZqgUEKDRo0wOjRozF69Gh0794ds2fPLjfA7NmzBzk5OThz5ozas38SExPxxhtvICsrC1ZWVhgxYgReeOEFnD9/Hvv378eiRYtUbY8cOYLGjRtj7ty5qm3Xrl2r8Ljv3LmD5ORkfPvtt+jevTuAh6d6ynL06FH06NEDwMNTSKdOnXriNS0+Pj5ISkqCm5t
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sqlite3 import Date\n",
    "\n",
    "\n",
    "# year_groups = pd.cut(dates, everyFiveYears, right=False)  # type: ignore\n",
    "\n",
    "# group_counts = year_groups.value_counts().sort_index()  # type: ignore\n",
    "\n",
    "\n",
    "# plt.figure(figsize=(10, 6))\n",
    "# plt.show()\n",
    "\n",
    "\n",
    "plot = srez.plot.line(x=\"Store_Sales\", y=\"Daily_Customer_Count\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plot = df.plot.line(x=\"Store_Area\", y=\"Items_Available\")\n",
    "#Зависимость количества поситителей от количества распродаж \n",
    "#Зависимость размера магазина от его ассортимента"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "aisenv",
   "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": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}