从 Pandas 的 DataFrame 中删除包含所有 NaN 的行

Remove row with all NaN from DataFrame in pandas

提问by Mir Shahriar Sabuj

I have two data frame df1, df2, which I want to combine to the new dataframe df. This however creates an row with all NaN:

我有两个数据框df1，df2我想将它们组合到新的数据框df。然而，这会创建一个包含所有 NaN 的行：

>>> from pandas import  DataFrame
>>> df1 = DataFrame({'col1':[1,2,3], 'col2':[2,3,4]})
>>> df2 = DataFrame({'col1':[4,2,5], 'col2':[6,3,5]})

>>> df = df2[~df2.isin(df1)]
>>> df
   col1  col2
0     4     6
1   NaN   NaN
2     5     5

How can I remove this row, such that dflooks like:

如何删除这一行，df如下所示：

>>> df
   col1  col2
0     4     6
2     5     5

回答by unutbu

You could use dropna:

你可以使用dropna：

In [13]: df2[df1 != df2].dropna(how='all')
Out[13]: 
   col1  col2
0     4     6
2     5     5

回答by Mir Shahriar Sabuj

>>> df = df2[~df2.isin(df1).all(1)]
>>> df
    col1  col2
0     4     6
2     5     5