python - Pandas extract columns from dataframe which are not present in another dataframe -

i have foll 2 dataframes:

df_a     b    c    d 12   23   34   45 22   32   54   87

and,

df_b  b    c  23   34 32   54

how select columns in df_a not present in df_b, resulting in following dataframe (you can assume df_b subset of df_a):

a    d 12   45 22   87

i tried this:

df_a[df_a.columns.values <> df_b.columns.values]

but results in keyerror

>>> df_a.columns.difference(df_b.columns) index(['a', 'd'], dtype='object')

will give columns, , can do:

>>> cols = df_a.columns.difference(df_b.columns) >>> df_a[cols]       d 0  12  45 1  22  87

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