└── python2.ipynb /python2.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "id": "1903e249-d07d-4f99-8b8f-3c81a21182de", 7 | "metadata": {}, 8 | "outputs": [ 9 | { 10 | "name": "stdout", 11 | "output_type": "stream", 12 | "text": [ 13 | "Requirement already satisfied: pandas in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (2.2.3)\n", 14 | "Requirement already satisfied: numpy>=1.26.0 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from pandas) (2.1.3)\n", 15 | "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from pandas) (2.9.0.post0)\n", 16 | "Requirement already satisfied: pytz>=2020.1 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from pandas) (2024.2)\n", 17 | "Requirement already satisfied: tzdata>=2022.7 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from pandas) (2024.2)\n", 18 | "Requirement already satisfied: six>=1.5 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n" 19 | ] 20 | }, 21 | { 22 | "name": "stderr", 23 | "output_type": "stream", 24 | "text": [ 25 | "\n", 26 | "[notice] A new release of pip is available: 24.2 -> 24.3.1\n", 27 | "[notice] To update, run: python.exe -m pip install --upgrade pip\n" 28 | ] 29 | } 30 | ], 31 | "source": [ 32 | "!pip install pandas" 33 | ] 34 | }, 35 | { 36 | "cell_type": "code", 37 | "execution_count": 2, 38 | "id": "19127adb-f715-4a0b-bcca-bfe4be5657ea", 39 | "metadata": {}, 40 | "outputs": [ 41 | { 42 | "name": "stdout", 43 | "output_type": "stream", 44 | "text": [ 45 | "Requirement already satisfied: matplotlib in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (3.9.2)\n", 46 | "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from matplotlib) (1.3.0)\n", 47 | "Requirement already satisfied: cycler>=0.10 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from matplotlib) (0.12.1)\n", 48 | "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from matplotlib) (4.54.1)\n", 49 | "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from matplotlib) (1.4.7)\n", 50 | "Requirement already satisfied: numpy>=1.23 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from matplotlib) (2.1.3)\n", 51 | "Requirement already satisfied: packaging>=20.0 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from matplotlib) (24.1)\n", 52 | "Requirement already satisfied: pillow>=8 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from matplotlib) (11.0.0)\n", 53 | "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from matplotlib) (3.2.0)\n", 54 | "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from matplotlib) (2.9.0.post0)\n", 55 | "Requirement already satisfied: six>=1.5 in c:\\users\\muthubharani\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n" 56 | ] 57 | }, 58 | { 59 | "name": "stderr", 60 | "output_type": "stream", 61 | "text": [ 62 | "\n", 63 | "[notice] A new release of pip is available: 24.2 -> 24.3.1\n", 64 | "[notice] To update, run: python.exe -m pip install --upgrade pip\n" 65 | ] 66 | } 67 | ], 68 | "source": [ 69 | "!pip install matplotlib" 70 | ] 71 | }, 72 | { 73 | "cell_type": "code", 74 | "execution_count": 3, 75 | "id": "d14d24e3-acb8-4931-ad18-31930cf31a35", 76 | "metadata": {}, 77 | "outputs": [], 78 | "source": [ 79 | "import pandas as pd\n", 80 | "import matplotlib.pyplot as plt" 81 | ] 82 | }, 83 | { 84 | "cell_type": "code", 85 | "execution_count": 4, 86 | "id": "f1bfed13-9237-45a3-af0e-d29f8e148cb2", 87 | "metadata": {}, 88 | "outputs": [], 89 | "source": [ 90 | "file_path = r'C:\\Users\\MUTHUBHARANI\\Desktop\\jupyterR\\FoodData.csv'\n", 91 | "df = pd.read_csv(file_path)" 92 | ] 93 | }, 94 | { 95 | "cell_type": "code", 96 | "execution_count": 5, 97 | "id": "c1715b6d-1f97-4ff2-97c1-60e301e2b161", 98 | "metadata": {}, 99 | "outputs": [], 100 | "source": [ 101 | "df['Type'] = df['Type'].str.split(',')\n", 102 | "type_df = df.explode('Type')" 103 | ] 104 | }, 105 | { 106 | "cell_type": "code", 107 | "execution_count": 6, 108 | "id": "7ed175e4-6f5b-4822-bbff-a4b892c686dc", 109 | "metadata": {}, 110 | "outputs": [], 111 | "source": [ 112 | "type_df['Type'] = type_df['Type'].str.strip()" 113 | ] 114 | }, 115 | { 116 | "cell_type": "code", 117 | "execution_count": 7, 118 | "id": "c744ea37-0967-400e-a37b-39287be35eae", 119 | "metadata": {}, 120 | "outputs": [], 121 | "source": [ 122 | "type_counts = type_df['Type'].value_counts()" 123 | ] 124 | }, 125 | { 126 | "cell_type": "code", 127 | "execution_count": 8, 128 | "id": "9e10b5df-07ab-4114-b3ed-ae01afac38a0", 129 | "metadata": {}, 130 | "outputs": [ 131 | { 132 | "data": { 133 | "image/png": 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", 134 | "text/plain": [ 135 | "
" 136 | ] 137 | }, 138 | "metadata": {}, 139 | "output_type": "display_data" 140 | } 141 | ], 142 | "source": [ 143 | "plt.figure(figsize=(12, 8))\n", 144 | "type_counts.sort_index().plot(kind='line', marker='o', color='green')\n", 145 | "plt.title('Frequency of Types in Food Products')\n", 146 | "plt.xlabel('Type')\n", 147 | "plt.ylabel('Frequency')\n", 148 | "plt.xticks(rotation=45, ha='right')\n", 149 | "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", 150 | "plt.show()" 151 | ] 152 | }, 153 | { 154 | "cell_type": "code", 155 | "execution_count": null, 156 | "id": "ed14a33a-eb8c-4b2f-b45a-8558f9c735fe", 157 | "metadata": {}, 158 | "outputs": [], 159 | "source": [] 160 | } 161 | ], 162 | "metadata": { 163 | "kernelspec": { 164 | "display_name": "Python 3 (ipykernel)", 165 | "language": "python", 166 | "name": "python3" 167 | }, 168 | "language_info": { 169 | "codemirror_mode": { 170 | "name": "ipython", 171 | "version": 3 172 | }, 173 | "file_extension": ".py", 174 | "mimetype": "text/x-python", 175 | "name": "python", 176 | "nbconvert_exporter": "python", 177 | "pygments_lexer": "ipython3", 178 | "version": "3.13.0" 179 | } 180 | }, 181 | "nbformat": 4, 182 | "nbformat_minor": 5 183 | } 184 | --------------------------------------------------------------------------------