psmattas/Machine-Learning-Models
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
04ce9003935eafa6d7d0fc93cb52b645c2338af5
Machine-Learning-Models/TestModel/testFile.ipynb

484 lines
16 KiB
Plaintext
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"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>Rank</th>\n",
" <th>Name</th>\n",
" <th>Platform</th>\n",
" <th>Year</th>\n",
" <th>Genre</th>\n",
" <th>Publisher</th>\n",
" <th>NA_Sales</th>\n",
" <th>EU_Sales</th>\n",
" <th>JP_Sales</th>\n",
" <th>Other_Sales</th>\n",
" <th>Global_Sales</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>Wii Sports</td>\n",
" <td>Wii</td>\n",
" <td>2006.0</td>\n",
" <td>Sports</td>\n",
" <td>Nintendo</td>\n",
" <td>41.49</td>\n",
" <td>29.02</td>\n",
" <td>3.77</td>\n",
" <td>8.46</td>\n",
" <td>82.74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>Super Mario Bros.</td>\n",
" <td>NES</td>\n",
" <td>1985.0</td>\n",
" <td>Platform</td>\n",
" <td>Nintendo</td>\n",
" <td>29.08</td>\n",
" <td>3.58</td>\n",
" <td>6.81</td>\n",
" <td>0.77</td>\n",
" <td>40.24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>Mario Kart Wii</td>\n",
" <td>Wii</td>\n",
" <td>2008.0</td>\n",
" <td>Racing</td>\n",
" <td>Nintendo</td>\n",
" <td>15.85</td>\n",
" <td>12.88</td>\n",
" <td>3.79</td>\n",
" <td>3.31</td>\n",
" <td>35.82</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>Wii Sports Resort</td>\n",
" <td>Wii</td>\n",
" <td>2009.0</td>\n",
" <td>Sports</td>\n",
" <td>Nintendo</td>\n",
" <td>15.75</td>\n",
" <td>11.01</td>\n",
" <td>3.28</td>\n",
" <td>2.96</td>\n",
" <td>33.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>Pokemon Red/Pokemon Blue</td>\n",
" <td>GB</td>\n",
" <td>1996.0</td>\n",
" <td>Role-Playing</td>\n",
" <td>Nintendo</td>\n",
" <td>11.27</td>\n",
" <td>8.89</td>\n",
" <td>10.22</td>\n",
" <td>1.00</td>\n",
" <td>31.37</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16593</th>\n",
" <td>16596</td>\n",
" <td>Woody Woodpecker in Crazy Castle 5</td>\n",
" <td>GBA</td>\n",
" <td>2002.0</td>\n",
" <td>Platform</td>\n",
" <td>Kemco</td>\n",
" <td>0.01</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16594</th>\n",
" <td>16597</td>\n",
" <td>Men in Black II: Alien Escape</td>\n",
" <td>GC</td>\n",
" <td>2003.0</td>\n",
" <td>Shooter</td>\n",
" <td>Infogrames</td>\n",
" <td>0.01</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16595</th>\n",
" <td>16598</td>\n",
" <td>SCORE International Baja 1000: The Official Game</td>\n",
" <td>PS2</td>\n",
" <td>2008.0</td>\n",
" <td>Racing</td>\n",
" <td>Activision</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16596</th>\n",
" <td>16599</td>\n",
" <td>Know How 2</td>\n",
" <td>DS</td>\n",
" <td>2010.0</td>\n",
" <td>Puzzle</td>\n",
" <td>7G//AMES</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16597</th>\n",
" <td>16600</td>\n",
" <td>Spirits &amp; Spells</td>\n",
" <td>GBA</td>\n",
" <td>2003.0</td>\n",
" <td>Platform</td>\n",
" <td>Wanadoo</td>\n",
" <td>0.01</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>16598 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" Rank Name Platform \\\n",
"0 1 Wii Sports Wii \n",
"1 2 Super Mario Bros. NES \n",
"2 3 Mario Kart Wii Wii \n",
"3 4 Wii Sports Resort Wii \n",
"4 5 Pokemon Red/Pokemon Blue GB \n",
"... ... ... ... \n",
"16593 16596 Woody Woodpecker in Crazy Castle 5 GBA \n",
"16594 16597 Men in Black II: Alien Escape GC \n",
"16595 16598 SCORE International Baja 1000: The Official Game PS2 \n",
"16596 16599 Know How 2 DS \n",
"16597 16600 Spirits & Spells GBA \n",
"\n",
" Year Genre Publisher NA_Sales EU_Sales JP_Sales \\\n",
"0 2006.0 Sports Nintendo 41.49 29.02 3.77 \n",
"1 1985.0 Platform Nintendo 29.08 3.58 6.81 \n",
"2 2008.0 Racing Nintendo 15.85 12.88 3.79 \n",
"3 2009.0 Sports Nintendo 15.75 11.01 3.28 \n",
"4 1996.0 Role-Playing Nintendo 11.27 8.89 10.22 \n",
"... ... ... ... ... ... ... \n",
"16593 2002.0 Platform Kemco 0.01 0.00 0.00 \n",
"16594 2003.0 Shooter Infogrames 0.01 0.00 0.00 \n",
"16595 2008.0 Racing Activision 0.00 0.00 0.00 \n",
"16596 2010.0 Puzzle 7G//AMES 0.00 0.01 0.00 \n",
"16597 2003.0 Platform Wanadoo 0.01 0.00 0.00 \n",
"\n",
" Other_Sales Global_Sales \n",
"0 8.46 82.74 \n",
"1 0.77 40.24 \n",
"2 3.31 35.82 \n",
"3 2.96 33.00 \n",
"4 1.00 31.37 \n",
"... ... ... \n",
"16593 0.00 0.01 \n",
"16594 0.00 0.01 \n",
"16595 0.00 0.01 \n",
"16596 0.00 0.01 \n",
"16597 0.00 0.01 \n",
"\n",
"[16598 rows x 11 columns]"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"df = pd.read_csv('vgsales.csv')\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(16598, 11)"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 3,
"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>Rank</th>\n",
" <th>Year</th>\n",
" <th>NA_Sales</th>\n",
" <th>EU_Sales</th>\n",
" <th>JP_Sales</th>\n",
" <th>Other_Sales</th>\n",
" <th>Global_Sales</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>16598.000000</td>\n",
" <td>16327.000000</td>\n",
" <td>16598.000000</td>\n",
" <td>16598.000000</td>\n",
" <td>16598.000000</td>\n",
" <td>16598.000000</td>\n",
" <td>16598.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>8300.605254</td>\n",
" <td>2006.406443</td>\n",
" <td>0.264667</td>\n",
" <td>0.146652</td>\n",
" <td>0.077782</td>\n",
" <td>0.048063</td>\n",
" <td>0.537441</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>4791.853933</td>\n",
" <td>5.828981</td>\n",
" <td>0.816683</td>\n",
" <td>0.505351</td>\n",
" <td>0.309291</td>\n",
" <td>0.188588</td>\n",
" <td>1.555028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1.000000</td>\n",
" <td>1980.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>4151.250000</td>\n",
" <td>2003.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.060000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>8300.500000</td>\n",
" <td>2007.000000</td>\n",
" <td>0.080000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.170000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>12449.750000</td>\n",
" <td>2010.000000</td>\n",
" <td>0.240000</td>\n",
" <td>0.110000</td>\n",
" <td>0.040000</td>\n",
" <td>0.040000</td>\n",
" <td>0.470000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>16600.000000</td>\n",
" <td>2020.000000</td>\n",
" <td>41.490000</td>\n",
" <td>29.020000</td>\n",
" <td>10.220000</td>\n",
" <td>10.570000</td>\n",
" <td>82.740000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Rank Year NA_Sales EU_Sales JP_Sales \\\n",
"count 16598.000000 16327.000000 16598.000000 16598.000000 16598.000000 \n",
"mean 8300.605254 2006.406443 0.264667 0.146652 0.077782 \n",
"std 4791.853933 5.828981 0.816683 0.505351 0.309291 \n",
"min 1.000000 1980.000000 0.000000 0.000000 0.000000 \n",
"25% 4151.250000 2003.000000 0.000000 0.000000 0.000000 \n",
"50% 8300.500000 2007.000000 0.080000 0.020000 0.000000 \n",
"75% 12449.750000 2010.000000 0.240000 0.110000 0.040000 \n",
"max 16600.000000 2020.000000 41.490000 29.020000 10.220000 \n",
"\n",
" Other_Sales Global_Sales \n",
"count 16598.000000 16598.000000 \n",
"mean 0.048063 0.537441 \n",
"std 0.188588 1.555028 \n",
"min 0.000000 0.010000 \n",
"25% 0.000000 0.060000 \n",
"50% 0.010000 0.170000 \n",
"75% 0.040000 0.470000 \n",
"max 10.570000 82.740000 "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[1, 'Wii Sports', 'Wii', ..., 3.77, 8.46, 82.74],\n",
" [2, 'Super Mario Bros.', 'NES', ..., 6.81, 0.77, 40.24],\n",
" [3, 'Mario Kart Wii', 'Wii', ..., 3.79, 3.31, 35.82],\n",
" ...,\n",
" [16598, 'SCORE International Baja 1000: The Official Game', 'PS2',\n",
" ..., 0.0, 0.0, 0.01],\n",
" [16599, 'Know How 2', 'DS', ..., 0.0, 0.0, 0.01],\n",
" [16600, 'Spirits & Spells', 'GBA', ..., 0.0, 0.0, 0.01]],\n",
" dtype=object)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.values"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.8.11 ('base')",
"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": "3.8.13"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "5819c1eaf6d552792a1bbc5e8998e6c2149ab26a1973a0d78107c0d9954e5ba0"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Reference in New Issue View Git Blame Copy Permalink