Question

我正在尝试从数据框中删除列，但无法正常工作。

columns_to_retain = 'name, sex, age'    # a string of columns 
                                        # which will not be dropped 
                                        # from the dataframe
x_cols = columns_to_retain.split(',') 

new_df = df.drop(columns = not x_cols)

new_df应该保留数据和列的名称，性别和年龄。

Answer 1

假设您要删除您可以通过两种方式进行操作。

使用drop删除例如两列a和b

import pandas as pd 
df=pd.read_csv('filename') 
df=df.drop(columns=["a","b"])

2。通过选择仅您要显示的列

import pandas as pd
 df=pd.read_csv('filename')
 new_df=df[["name","sex","age"]]

以您的情况

columns_to_retain = 'name, sex, age'

x_cols = [col.strip() for col in columns_to_retain.split(',')]#column.strip ensures that that are no leading or trailing white space in the words

new_df=df[x_cols]

Answer 2

Suyash的答案应该起作用。如果您有要放入字符串的列列表，则需要在拆分后注意去除空格。

df = pd.DataFrame([[4, 5, 5], [4,6,7]], columns=['a', 'b', 'c'])

to_drop = 'b, c'
to_drop_stripped = [x.strip() for x in to_drop.split(',')]
df.drop(columns=to_drop_stripped)

Result:
   a
0  4
1  4

删除熊猫数据框列

2 个答案: