当列名有空格时删除多列熊猫

Question

I have a df我有一个 df

Col 1    Col 2    Col3  Col4
11         10      s     1
12         22      g     10

If I find the column names and Do如果我找到列名并做

<<df.columns
>>Index(['Col 1', 'Col 2' , 'Col3', 'Col4'])

If I want to remove Col 1 and Col 2 from my df , then what to do:如果我想从我的 df 中删除Col 1和Col 2 ，那么该怎么做：

df.drop(['Col 1, Col 2'], axis=1)

I am getting error:我收到错误：

KeyError: "['Col 1, Col 2'] not found in axis"

EDIT:编辑：

It works with below syntax它适用于以下语法

 df.drop(['Col 1', 'Col 2'], axis=1)

Answer 1

If need remove columns with spaces:如果需要删除带有空格的列：

df = df.loc[:, ~df.columns.str.contains('\s')]
print (df)
  Col3  Col4
0    s     1
1    g    10

But maybe space is not space, you can test it by ord , for space got 32 :但也许空间不是空间，你可以通过ord测试它，因为空间得到32 ：

a = [ord(x) for x in df.columns[0]]
print (a)
[67, 111, 108, 32, 49]