[英]subtract inside DataFrame columns
會因為也許我今晚沒睡但是,鑒於:
df1 = {'Name':['Tom', 'Jack', 'Steve', 'Ricky'], index=['rank1','rank2','rank3','rank4']}
df2 = {'Age':[28,34,29,42],'bubu':[98,33,3,30], index=['rank1','rank2','rank3','rank4']}
df_merged = = pd.concat([ df1, df2 ], axis = 1)
現在,為了動態管理來自更列密集 df 的列的進一步算術運算:
a = ['Age'] #List
b = ['bubu'] #List
算術運算:
df_merged['newCol'] = df_merged[a]-df_merged[b]
或兩者
df_merged.assign(newCol = df_merged[a] - df_merged[b])
我不能減去 2 列因為返回這樣的錯誤
ValueError: Expected a 1D array, got an array with shape (556, 2)
不確定我是否理解,但試試這個:
a = 'Age'
b = 'bubu'
然后
df_merged['newCol'] = df_merged[a] - df_merged[b]
產生:
Name Age bubu newCol
rank1 Tom 28 98 -70
rank2 Jack 34 33 1
rank3 Steve 29 3 26
rank4 Ricky 42 30 12
那是你想要的嗎?
df_merged['newCol'] = df_merged['Age']-df_merged['bubu'] or
df_merged.insert(3,'newCol', df_merged['Age']-df_merged['bubu'],True)
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