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Google DriveでPythonの実行環境を整える方法をまとめてみた
Google Colaboratoryを使えば、Google Drive上でPythonの実行環境(Jupyter Notebook)を整えられるようなので、試してみました。
1. Google Driveにアクセスする
Google Driveにアクセスします。
2. Google ColaboratoryをGoogle Drive上で使えるようにする
デフォルトではPythonを実行できる、Colaboratoryというツールがないので、インストールします。新規 -> その他 -> アプリを追加を選択し、「Colaboratory」と検索します。そうするとアプリが出るので、「接続」をクリックすると、Colaboratoryを使えるようになります。
3. Google Colaboratoryを設定する
さっそく使ってみましょう。新規 -> その他 -> Colaboratoryを設定すると、新規でPythonの実行環境が使えるようになります。
試しに、タイタニックのデータセットをインポートしてみた結果をGoogle Drive上でPythonを実行してみました。その時のJupyter Notebookはこちら。
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
# Titanicのデータセットのインポート
df = sns.load_dataset('titanic')
print(df)
>
survived pclass sex age sibsp parch fare embarked class \
0 0 3 male 22.0 1 0 7.2500 S Third
1 1 1 female 38.0 1 0 71.2833 C First
2 1 3 female 26.0 0 0 7.9250 S Third
3 1 1 female 35.0 1 0 53.1000 S First
4 0 3 male 35.0 0 0 8.0500 S Third
5 0 3 male NaN 0 0 8.4583 Q Third
6 0 1 male 54.0 0 0 51.8625 S First
7 0 3 male 2.0 3 1 21.0750 S Third
8 1 3 female 27.0 0 2 11.1333 S Third
9 1 2 female 14.0 1 0 30.0708 C Second
10 1 3 female 4.0 1 1 16.7000 S Third
11 1 1 female 58.0 0 0 26.5500 S First
12 0 3 male 20.0 0 0 8.0500 S Third
13 0 3 male 39.0 1 5 31.2750 S Third
14 0 3 female 14.0 0 0 7.8542 S Third
15 1 2 female 55.0 0 0 16.0000 S Second
16 0 3 male 2.0 4 1 29.1250 Q Third
17 1 2 male NaN 0 0 13.0000 S Second
18 0 3 female 31.0 1 0 18.0000 S Third
19 1 3 female NaN 0 0 7.2250 C Third
20 0 2 male 35.0 0 0 26.0000 S Second
21 1 2 male 34.0 0 0 13.0000 S Second
22 1 3 female 15.0 0 0 8.0292 Q Third
23 1 1 male 28.0 0 0 35.5000 S First
24 0 3 female 8.0 3 1 21.0750 S Third
25 1 3 female 38.0 1 5 31.3875 S Third
26 0 3 male NaN 0 0 7.2250 C Third
27 0 1 male 19.0 3 2 263.0000 S First
28 1 3 female NaN 0 0 7.8792 Q Third
29 0 3 male NaN 0 0 7.8958 S Third
.. ... ... ... ... ... ... ... ... ...
861 0 2 male 21.0 1 0 11.5000 S Second
862 1 1 female 48.0 0 0 25.9292 S First
863 0 3 female NaN 8 2 69.5500 S Third
864 0 2 male 24.0 0 0 13.0000 S Second
865 1 2 female 42.0 0 0 13.0000 S Second
866 1 2 female 27.0 1 0 13.8583 C Second
867 0 1 male 31.0 0 0 50.4958 S First
868 0 3 male NaN 0 0 9.5000 S Third
869 1 3 male 4.0 1 1 11.1333 S Third
870 0 3 male 26.0 0 0 7.8958 S Third
871 1 1 female 47.0 1 1 52.5542 S First
872 0 1 male 33.0 0 0 5.0000 S First
873 0 3 male 47.0 0 0 9.0000 S Third
874 1 2 female 28.0 1 0 24.0000 C Second
875 1 3 female 15.0 0 0 7.2250 C Third
876 0 3 male 20.0 0 0 9.8458 S Third
877 0 3 male 19.0 0 0 7.8958 S Third
878 0 3 male NaN 0 0 7.8958 S Third
879 1 1 female 56.0 0 1 83.1583 C First
880 1 2 female 25.0 0 1 26.0000 S Second
881 0 3 male 33.0 0 0 7.8958 S Third
882 0 3 female 22.0 0 0 10.5167 S Third
883 0 2 male 28.0 0 0 10.5000 S Second
884 0 3 male 25.0 0 0 7.0500 S Third
885 0 3 female 39.0 0 5 29.1250 Q Third
886 0 2 male 27.0 0 0 13.0000 S Second
887 1 1 female 19.0 0 0 30.0000 S First
888 0 3 female NaN 1 2 23.4500 S Third
889 1 1 male 26.0 0 0 30.0000 C First
890 0 3 male 32.0 0 0 7.7500 Q Third
who adult_male deck embark_town alive alone
0 man True NaN Southampton no False
1 woman False C Cherbourg yes False
2 woman False NaN Southampton yes True
3 woman False C Southampton yes False
4 man True NaN Southampton no True
5 man True NaN Queenstown no True
6 man True E Southampton no True
7 child False NaN Southampton no False
8 woman False NaN Southampton yes False
9 child False NaN Cherbourg yes False
10 child False G Southampton yes False
11 woman False C Southampton yes True
12 man True NaN Southampton no True
13 man True NaN Southampton no False
14 child False NaN Southampton no True
15 woman False NaN Southampton yes True
16 child False NaN Queenstown no False
17 man True NaN Southampton yes True
18 woman False NaN Southampton no False
19 woman False NaN Cherbourg yes True
20 man True NaN Southampton no True
21 man True D Southampton yes True
22 child False NaN Queenstown yes True
23 man True A Southampton yes True
24 child False NaN Southampton no False
25 woman False NaN Southampton yes False
26 man True NaN Cherbourg no True
27 man True C Southampton no False
28 woman False NaN Queenstown yes True
29 man True NaN Southampton no True
.. ... ... ... ... ... ...
861 man True NaN Southampton no False
862 woman False D Southampton yes True
863 woman False NaN Southampton no False
864 man True NaN Southampton no True
865 woman False NaN Southampton yes True
866 woman False NaN Cherbourg yes False
867 man True A Southampton no True
868 man True NaN Southampton no True
869 child False NaN Southampton yes False
870 man True NaN Southampton no True
871 woman False D Southampton yes False
872 man True B Southampton no True
873 man True NaN Southampton no True
874 woman False NaN Cherbourg yes False
875 child False NaN Cherbourg yes True
876 man True NaN Southampton no True
877 man True NaN Southampton no True
878 man True NaN Southampton no True
879 woman False C Cherbourg yes False
880 woman False NaN Southampton yes False
881 man True NaN Southampton no True
882 woman False NaN Southampton no True
883 man True NaN Southampton no True
884 man True NaN Southampton no True
885 woman False NaN Queenstown no False
886 man True NaN Southampton no True
887 woman False B Southampton yes True
888 woman False NaN Southampton no False
889 man True C Cherbourg yes True
890 man True NaN Queenstown no True
[891 rows x 15 columns]普通に実行できました。勉強会とかで軽く実行するときとか、とても使えそうな感じがしますね。
まとめ
ということでまとめです。
・Google Drive上でPythonが実行できる
・Google Colaboratoryをインストールして、実行できる
・Web上で完結するので、簡単
ツイッターのフォローもぜひお願いします！
サポートでいただいたお金はFanzaの動画を購入するために利用されます。