質問編集履歴
1
実コードをコピーしました。
test
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test
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@@ -2,35 +2,71 @@
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○
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○加工前のデータ(下記コード2行目 dfa.head()の結果)
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Store Dept Date Weekly_Sales IsHoliday
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0 1 1 2010-02-05 24924.50 False
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1 1 1 2010-02-12 46039.49 True
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2 1 1 2010-02-19 41595.55 False
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3 1 1 2010-02-26 19403.54 False
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4 1 1 2010-03-05 21827.90 False
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○作ったコード
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dfa=pd.read_csv('train.csv')
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dfa.head()
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dfa['
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dfa['Date']=pd.to_datetime(dfa['Date'])
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s1=datetime.strptime('2010-2-12','%Y-%m-%d')
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s2=datetime.strptime('2011-2-11','%Y-%m-%d')
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s3=datetime.strptime('2012-2-10','%Y-%m-%d')
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s1=datetime.strptime('2010-2-12','%Y-%m-%d')
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dfa['SuperBowl']=np.where(dfa['Date']==s1,1,0)
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dfa['SuperBowl']=np.where(dfa['Date']==s2,1,0)
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dfa['SuperBowl']=np.where(dfa['Date']==s3,1,0)
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dfa.head()
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○上記コード実行後
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Store Dept Date Weekly_Sales IsHoliday SuperBowl
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0 1 1 2010-02-05 24924.50 False 0
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1 1 1 2010-02-12 46039.49 True 0
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2 1 1 2010-02-19 41595.55 False 0
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3 1 1 2010-02-26 19403.54 False 0
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4 1 1 2010-03-05 21827.90 False 0
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