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ium_434695/.ipynb_checkpoints/Zadanie1-checkpoint.ipynb
s434695 edd5a8a20c zadanie nr 1
2021-03-21 23:00:03 +01:00

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!wget -c https://git.wmi.amu.edu.pl/s434695/ium_434695/raw/commit/2301fb86e434734376f73503307a8f3255a75cc6/vgsales.csv

/bin/sh: 1: wget: not found

!pip install --user pandas
!pip install --user scikit-learn
!pip install --user matplotlib
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Installing collected packages: cycler, kiwisolver, pyparsing, matplotlib
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import pandas as pd
vgsales = pd.read_csv('vgsales.csv')
vgsales
Rank Name Platform Year Genre Publisher NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales
0 1 Wii Sports Wii 2006.0 Sports Nintendo 41.49 29.02 3.77 8.46 82.74
1 2 Super Mario Bros. NES 1985.0 Platform Nintendo 29.08 3.58 6.81 0.77 40.24
2 3 Mario Kart Wii Wii 2008.0 Racing Nintendo 15.85 12.88 3.79 3.31 35.82
3 4 Wii Sports Resort Wii 2009.0 Sports Nintendo 15.75 11.01 3.28 2.96 33.00
4 5 Pokemon Red/Pokemon Blue GB 1996.0 Role-Playing Nintendo 11.27 8.89 10.22 1.00 31.37
... ... ... ... ... ... ... ... ... ... ... ...
16593 16596 Woody Woodpecker in Crazy Castle 5 GBA 2002.0 Platform Kemco 0.01 0.00 0.00 0.00 0.01
16594 16597 Men in Black II: Alien Escape GC 2003.0 Shooter Infogrames 0.01 0.00 0.00 0.00 0.01
16595 16598 SCORE International Baja 1000: The Official Game PS2 2008.0 Racing Activision 0.00 0.00 0.00 0.00 0.01
16596 16599 Know How 2 DS 2010.0 Puzzle 7G//AMES 0.00 0.01 0.00 0.00 0.01
16597 16600 Spirits & Spells GBA 2003.0 Platform Wanadoo 0.01 0.00 0.00 0.00 0.01

16598 rows × 11 columns

vgsales.describe(include='all')
Rank Name Platform Year Genre Publisher NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales
count 16598.000000 16598 16598 16327.000000 16598 16540 16598.000000 16598.000000 16598.000000 16598.000000 16598.000000
unique NaN 11493 31 NaN 12 578 NaN NaN NaN NaN NaN
top NaN Need for Speed: Most Wanted DS NaN Action Electronic Arts NaN NaN NaN NaN NaN
freq NaN 12 2163 NaN 3316 1351 NaN NaN NaN NaN NaN
mean 8300.605254 NaN NaN 2006.406443 NaN NaN 0.264667 0.146652 0.077782 0.048063 0.537441
std 4791.853933 NaN NaN 5.828981 NaN NaN 0.816683 0.505351 0.309291 0.188588 1.555028
min 1.000000 NaN NaN 1980.000000 NaN NaN 0.000000 0.000000 0.000000 0.000000 0.010000
25% 4151.250000 NaN NaN 2003.000000 NaN NaN 0.000000 0.000000 0.000000 0.000000 0.060000
50% 8300.500000 NaN NaN 2007.000000 NaN NaN 0.080000 0.020000 0.000000 0.010000 0.170000
75% 12449.750000 NaN NaN 2010.000000 NaN NaN 0.240000 0.110000 0.040000 0.040000 0.470000
max 16600.000000 NaN NaN 2020.000000 NaN NaN 41.490000 29.020000 10.220000 10.570000 82.740000 
vgsales["Publisher"].value_counts()
Electronic Arts                 1351
Activision                       975
Namco Bandai Games               932
Ubisoft                          921
Konami Digital Entertainment     832
                                ... 
Phantagram                         1
989 Sports                         1
Illusion Softworks                 1
TYO                                1
General Entertainment              1
Name: Publisher, Length: 578, dtype: int64
vgsales["Platform"].value_counts()
DS      2163
PS2     2161
PS3     1329
Wii     1325
X360    1265
PSP     1213
PS      1196
PC       960
XB       824
GBA      822
GC       556
3DS      509
PSV      413
PS4      336
N64      319
SNES     239
XOne     213
SAT      173
WiiU     143
2600     133
NES       98
GB        98
DC        52
GEN       27
NG        12
SCD        6
WS         6
3DO        3
TG16       2
GG         1
PCFX       1
Name: Platform, dtype: int64
vgsales["Platform"].value_counts().plot(kind="bar")
<AxesSubplot:>
vgsales[["Platform","JP_Sales"]].groupby("Platform").mean().plot(kind="bar")
<matplotlib.axes._subplots.AxesSubplot at 0x7f668577e690>
import seaborn as sns
sns.set_theme()
sns.relplot(data=vgsales, x="JP_Sales", y="NA_Sales", hue="Genre")
<seaborn.axisgrid.FacetGrid at 0x7f6676f85790>
from sklearn.model_selection import train_test_split
vgsales_train, vgsales_test = train_test_split(vgsales, test_size = 0.6, random_state = 1)
vgsales_train["Platform"].value_counts()
PS2     873
DS      829
Wii     530
X360    507
PSP     503
PS3     488
PS      471
PC      396
XB      339
GBA     337
GC      237
3DS     205
PSV     166
PS4     143
N64     126
XOne     95
SNES     95
SAT      65
WiiU     55
2600     49
NES      43
GB       38
DC       25
GEN      10
NG        8
3DO       2
WS        2
GG        1
SCD       1
Name: Platform, dtype: int64
vgsales_test["Platform"].value_counts()
DS      1334
PS2     1288
PS3      841
Wii      795
X360     758
PS       725
PSP      710
PC       564
GBA      485
XB       485
GC       319
3DS      304
PSV      247
N64      193
PS4      193
SNES     144
XOne     118
SAT      108
WiiU      88
2600      84
GB        60
NES       55
DC        27
GEN       17
SCD        5
WS         4
NG         4
TG16       2
3DO        1
PCFX       1
Name: Platform, dtype: int64