Week_3/Day_2/matplotlib_stateless.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-23T18:18:27.178894Z",
     "start_time": "2020-04-23T18:18:27.172402Z"
    }
   },
   "outputs": [],
   "source": [
    "# import pandas\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "# import matplotlib\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-23T18:18:27.475135Z",
     "start_time": "2020-04-23T18:18:27.390985Z"
    }
   },
   "outputs": [],
   "source": [
    "df=pd.read_csv('https://pynative.com/wp-content/uploads/2019/01/company_sales_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-23T18:18:27.606163Z",
     "start_time": "2020-04-23T18:18:27.594265Z"
    },
    "scrolled": true
   },
   "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>month_number</th>\n",
       "      <th>facecream</th>\n",
       "      <th>facewash</th>\n",
       "      <th>toothpaste</th>\n",
       "      <th>bathingsoap</th>\n",
       "      <th>shampoo</th>\n",
       "      <th>moisturizer</th>\n",
       "      <th>total_units</th>\n",
       "      <th>total_profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2500</td>\n",
       "      <td>1500</td>\n",
       "      <td>5200</td>\n",
       "      <td>9200</td>\n",
       "      <td>1200</td>\n",
       "      <td>1500</td>\n",
       "      <td>21100</td>\n",
       "      <td>211000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2630</td>\n",
       "      <td>1200</td>\n",
       "      <td>5100</td>\n",
       "      <td>6100</td>\n",
       "      <td>2100</td>\n",
       "      <td>1200</td>\n",
       "      <td>18330</td>\n",
       "      <td>183300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2140</td>\n",
       "      <td>1340</td>\n",
       "      <td>4550</td>\n",
       "      <td>9550</td>\n",
       "      <td>3550</td>\n",
       "      <td>1340</td>\n",
       "      <td>22470</td>\n",
       "      <td>224700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>3400</td>\n",
       "      <td>1130</td>\n",
       "      <td>5870</td>\n",
       "      <td>8870</td>\n",
       "      <td>1870</td>\n",
       "      <td>1130</td>\n",
       "      <td>22270</td>\n",
       "      <td>222700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>3600</td>\n",
       "      <td>1740</td>\n",
       "      <td>4560</td>\n",
       "      <td>7760</td>\n",
       "      <td>1560</td>\n",
       "      <td>1740</td>\n",
       "      <td>20960</td>\n",
       "      <td>209600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   month_number  facecream  facewash  toothpaste  bathingsoap  shampoo  \\\n",
       "0             1       2500      1500        5200         9200     1200   \n",
       "1             2       2630      1200        5100         6100     2100   \n",
       "2             3       2140      1340        4550         9550     3550   \n",
       "3             4       3400      1130        5870         8870     1870   \n",
       "4             5       3600      1740        4560         7760     1560   \n",
       "\n",
       "   moisturizer  total_units  total_profit  \n",
       "0         1500        21100        211000  \n",
       "1         1200        18330        183300  \n",
       "2         1340        22470        224700  \n",
       "3         1130        22270        222700  \n",
       "4         1740        20960        209600  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T14:31:17.354810Z",
     "start_time": "2020-02-10T14:31:17.350708Z"
    }
   },
   "source": [
    "# Objective: Read Total profit of all months and show it using a line plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T14:31:58.448841Z",
     "start_time": "2020-02-10T14:31:58.296625Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'total profit')"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,8))\n",
    "ax.plot('month_number','total_profit',data= df,color='red')\n",
    "ax.set_title('total profit by month')\n",
    "ax.set_xlabel('months')\n",
    "ax.set_ylabel('total profit')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T14:32:21.369689Z",
     "start_time": "2020-02-10T14:32:21.365982Z"
    }
   },
   "source": [
    "# Objective: Read all product sales data and show it  using a multiline plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fb162f74850>"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,8))\n",
    "ax.set_title('total sales by month')\n",
    "ax.set_xlabel('months')\n",
    "ax.set_ylabel('sales')\n",
    "for i in df.columns:\n",
    "    if i == 'month_number' or i == 'total_profit':\n",
    "        next\n",
    "    else:\n",
    "        ax.plot('month_number', i, data=df, label =i)\n",
    "plt.legend(loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Objective: Read the total profit of each month and show it using the histogram to see most common profit ranges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'freq')"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize =(10,8))\n",
    "ax.hist('total_profit',data = df, bins = 7)\n",
    "ax.set_title('total profit')\n",
    "ax.set_xlabel('profit')\n",
    "ax.set_ylabel('freq')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.2"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
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