{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Pokemon Comparisons\n", "\n", "This project is used to compare pokemon to see which generations have the strongest, whether there is a correlation between attack power and defense power in pokemon from all generations, and to break each pokemon down by type to see which type is the strongest." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " # Name Type 1 Type 2 Total HP Attack \\\n", "0 1 Bulbasaur Grass Poison 318 45 49 \n", "1 2 Ivysaur Grass Poison 405 60 62 \n", "2 3 Venusaur Grass Poison 525 80 82 \n", "3 3 VenusaurMega Venusaur Grass Poison 625 80 100 \n", "4 4 Charmander Fire NaN 309 39 52 \n", "5 5 Charmeleon Fire NaN 405 58 64 \n", "6 6 Charizard Fire Flying 534 78 84 \n", "7 6 CharizardMega Charizard X Fire Dragon 634 78 130 \n", "8 6 CharizardMega Charizard Y Fire Flying 634 78 104 \n", "9 7 Squirtle Water NaN 314 44 48 \n", "10 8 Wartortle Water NaN 405 59 63 \n", "11 9 Blastoise Water NaN 530 79 83 \n", "12 9 BlastoiseMega Blastoise Water NaN 630 79 103 \n", "13 10 Caterpie Bug NaN 195 45 30 \n", "14 11 Metapod Bug NaN 205 50 20 \n", "15 12 Butterfree Bug Flying 395 60 45 \n", "16 13 Weedle Bug Poison 195 40 35 \n", "17 14 Kakuna Bug Poison 205 45 25 \n", "18 15 Beedrill Bug Poison 395 65 90 \n", "19 15 BeedrillMega Beedrill Bug Poison 495 65 150 \n", "20 16 Pidgey Normal Flying 251 40 45 \n", "21 17 Pidgeotto Normal Flying 349 63 60 \n", "22 18 Pidgeot Normal Flying 479 83 80 \n", "23 18 PidgeotMega Pidgeot Normal Flying 579 83 80 \n", "24 19 Rattata Normal NaN 253 30 56 \n", "25 20 Raticate Normal NaN 413 55 81 \n", "26 21 Spearow Normal Flying 262 40 60 \n", "27 22 Fearow Normal Flying 442 65 90 \n", "28 23 Ekans Poison NaN 288 35 60 \n", "29 24 Arbok Poison NaN 438 60 85 \n", ".. ... ... ... ... ... ... ... \n", "770 700 Sylveon Fairy NaN 525 95 65 \n", "771 701 Hawlucha Fighting Flying 500 78 92 \n", "772 702 Dedenne Electric Fairy 431 67 58 \n", "773 703 Carbink Rock Fairy 500 50 50 \n", "774 704 Goomy Dragon NaN 300 45 50 \n", "775 705 Sliggoo Dragon NaN 452 68 75 \n", "776 706 Goodra Dragon NaN 600 90 100 \n", "777 707 Klefki Steel Fairy 470 57 80 \n", "778 708 Phantump Ghost Grass 309 43 70 \n", "779 709 Trevenant Ghost Grass 474 85 110 \n", "780 710 PumpkabooAverage Size Ghost Grass 335 49 66 \n", "781 710 PumpkabooSmall Size Ghost Grass 335 44 66 \n", "782 710 PumpkabooLarge Size Ghost Grass 335 54 66 \n", "783 710 PumpkabooSuper Size Ghost Grass 335 59 66 \n", "784 711 GourgeistAverage Size Ghost Grass 494 65 90 \n", "785 711 GourgeistSmall Size Ghost Grass 494 55 85 \n", "786 711 GourgeistLarge Size Ghost Grass 494 75 95 \n", "787 711 GourgeistSuper Size Ghost Grass 494 85 100 \n", "788 712 Bergmite Ice NaN 304 55 69 \n", "789 713 Avalugg Ice NaN 514 95 117 \n", "790 714 Noibat Flying Dragon 245 40 30 \n", "791 715 Noivern Flying Dragon 535 85 70 \n", "792 716 Xerneas Fairy NaN 680 126 131 \n", "793 717 Yveltal Dark Flying 680 126 131 \n", "794 718 Zygarde50% Forme Dragon Ground 600 108 100 \n", "795 719 Diancie Rock Fairy 600 50 100 \n", "796 719 DiancieMega Diancie Rock Fairy 700 50 160 \n", "797 720 HoopaHoopa Confined Psychic Ghost 600 80 110 \n", "798 720 HoopaHoopa Unbound Psychic Dark 680 80 160 \n", "799 721 Volcanion Fire Water 600 80 110 \n", "\n", " Defense Sp. Atk Sp. Def Speed Generation Legendary \n", "0 49 65 65 45 1 False \n", "1 63 80 80 60 1 False \n", "2 83 100 100 80 1 False \n", "3 123 122 120 80 1 False \n", "4 43 60 50 65 1 False \n", "5 58 80 65 80 1 False \n", "6 78 109 85 100 1 False \n", "7 111 130 85 100 1 False \n", "8 78 159 115 100 1 False \n", "9 65 50 64 43 1 False \n", "10 80 65 80 58 1 False \n", "11 100 85 105 78 1 False \n", "12 120 135 115 78 1 False \n", "13 35 20 20 45 1 False \n", "14 55 25 25 30 1 False \n", "15 50 90 80 70 1 False \n", "16 30 20 20 50 1 False \n", "17 50 25 25 35 1 False \n", "18 40 45 80 75 1 False \n", "19 40 15 80 145 1 False \n", "20 40 35 35 56 1 False \n", "21 55 50 50 71 1 False \n", "22 75 70 70 101 1 False \n", "23 80 135 80 121 1 False \n", "24 35 25 35 72 1 False \n", "25 60 50 70 97 1 False \n", "26 30 31 31 70 1 False \n", "27 65 61 61 100 1 False \n", "28 44 40 54 55 1 False \n", "29 69 65 79 80 1 False \n", ".. ... ... ... ... ... ... \n", "770 65 110 130 60 6 False \n", "771 75 74 63 118 6 False \n", "772 57 81 67 101 6 False \n", "773 150 50 150 50 6 False \n", "774 35 55 75 40 6 False \n", "775 53 83 113 60 6 False \n", "776 70 110 150 80 6 False \n", "777 91 80 87 75 6 False \n", "778 48 50 60 38 6 False \n", "779 76 65 82 56 6 False \n", "780 70 44 55 51 6 False \n", "781 70 44 55 56 6 False \n", "782 70 44 55 46 6 False \n", "783 70 44 55 41 6 False \n", "784 122 58 75 84 6 False \n", "785 122 58 75 99 6 False \n", "786 122 58 75 69 6 False \n", "787 122 58 75 54 6 False \n", "788 85 32 35 28 6 False \n", "789 184 44 46 28 6 False \n", "790 35 45 40 55 6 False \n", "791 80 97 80 123 6 False \n", "792 95 131 98 99 6 True \n", "793 95 131 98 99 6 True \n", "794 121 81 95 95 6 True \n", "795 150 100 150 50 6 True \n", "796 110 160 110 110 6 True \n", "797 60 150 130 70 6 True \n", "798 60 170 130 80 6 True \n", "799 120 130 90 70 6 True \n", "\n", "[800 rows x 13 columns]\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "%matplotlib inline\n", "df = pd.read_csv('Pokemon.csv')\n", "print(df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Comparing Attack and Defense Power Across Generations" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABJEAAAJcCAYAAABJ6DXiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n2UInAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gen1 = df[df['Generation'] == 1]\n", "gen2 = df[df['Generation'] == 2]\n", "gen3 = df[df['Generation'] == 3]\n", "gen4 = df[df['Generation'] == 4]\n", "gen5 = df[df['Generation'] == 5]\n", "gen6 = df[df['Generation'] == 6]\n", "\n", "plt.figure(figsize=(20, 10))\n", "\n", "plt.subplot(1, 2, 1)\n", "plt.hist(gen1['Attack'], normed=True, color='blue', alpha=.5)\n", "plt.hist(gen2['Attack'], normed=True, color='red', alpha=.5) \n", "plt.hist(gen3['Attack'], normed=True, color='yellow', alpha=.5)\n", "plt.hist(gen4['Attack'], normed=True, color='green', alpha=.5)\n", "plt.hist(gen5['Attack'], normed=True, color='orange', alpha=.5)\n", "plt.hist(gen6['Attack'], normed=True, color='pink', alpha=.5)\n", "plt.title('Attack Power Between Generations')\n", "plt.xlabel('Attack Power')\n", "\n", "plt.subplot(1, 2, 2)\n", "plt.hist(gen1['Defense'], normed=True, color='blue', alpha=.5)\n", "plt.hist(gen2['Defense'], normed=True, color='red', alpha=.5) \n", "plt.hist(gen3['Defense'], normed=True, color='yellow', alpha=.5)\n", "plt.hist(gen4['Defense'], normed=True, color='green', alpha=.5)\n", "plt.hist(gen5['Defense'], normed=True, color='orange', alpha=.5)\n", "plt.hist(gen6['Defense'], normed=True, color='pink', alpha=.5)\n", "plt.title('Defense Power Between Generations')\n", "plt.xlabel('Defense Power')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Comparing Pokemon Attack Power and Defense Power" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEWCAYAAAB8LwAVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.scatter(x = df['Attack'], y = df['Defense'])\n", "plt.xlabel('Attack Power')\n", "plt.ylabel('Defense Power')\n", "plt.title('Pokemon Attack and Defense Power Comparison')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Strongest Pokemon Type" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABJYAAAJOCAYAAADlKo0LAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSZIkSdIv/gyDKh4CULnVKQAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "groupByType1 = df.groupby('Type 1')\n", "\n", "typesOfPokemon = groupByType1.groups.keys()\n", "numOfPokemonInType = groupByType1.size()\n", "y_pos = np.arange(len(numOfPokemonInType))\n", "\n", "plt.figure(figsize=(20,10))\n", "plt.bar(y_pos, numOfPokemonInType, align='center', alpha=0.5)\n", "plt.xticks(y_pos, typesOfPokemon)\n", "plt.ylabel('# of Pokemon in Type')\n", "plt.title('Type of Pokemon')\n", " \n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
AttackDefenseHP
Type 1
Fairy61.52941265.70588274.117647
Electric69.09090966.29545559.795455
Bug70.97101470.72463856.884058
Psychic71.45614067.68421170.631579
Ice72.75000071.41666772.000000
Grass73.21428670.80000067.271429
Normal73.46938859.84693977.275510
Ghost73.78125081.18750064.437500
Water74.15178672.94642972.062500
Poison74.67857168.82142967.250000
Flying78.75000066.25000070.750000
Fire84.76923167.76923169.903846
Dark88.38709770.22580666.806452
Steel92.703704126.37037065.222222
Rock92.863636100.79545565.363636
Ground95.75000084.84375073.781250
Fighting96.77777865.92592669.851852
Dragon112.12500086.37500083.312500
\n", "
" ], "text/plain": [ " Attack Defense HP\n", "Type 1 \n", "Fairy 61.529412 65.705882 74.117647\n", "Electric 69.090909 66.295455 59.795455\n", "Bug 70.971014 70.724638 56.884058\n", "Psychic 71.456140 67.684211 70.631579\n", "Ice 72.750000 71.416667 72.000000\n", "Grass 73.214286 70.800000 67.271429\n", "Normal 73.469388 59.846939 77.275510\n", "Ghost 73.781250 81.187500 64.437500\n", "Water 74.151786 72.946429 72.062500\n", "Poison 74.678571 68.821429 67.250000\n", "Flying 78.750000 66.250000 70.750000\n", "Fire 84.769231 67.769231 69.903846\n", "Dark 88.387097 70.225806 66.806452\n", "Steel 92.703704 126.370370 65.222222\n", "Rock 92.863636 100.795455 65.363636\n", "Ground 95.750000 84.843750 73.781250\n", "Fighting 96.777778 65.925926 69.851852\n", "Dragon 112.125000 86.375000 83.312500" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "groupByType1.mean().loc[:, ['Attack', 'Defense', 'HP']].sort_values('Attack')" ] } ], "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": "3.6.1" } }, "nbformat": 4, "nbformat_minor": 2 }