Drop columns whose name contains a specific string from pandas DataFrame

Question

I have a pandas dataframe with the following column names:

Result1, Test1, Result2, Test2, Result3, Test3, etc...

I want to drop all the columns whose name c

Answer 1

You can filter out the columns you DO want using 'filter'

import pandas as pd
import numpy as np

data2 = [{'test2': 1, 'result1': 2}, {'test': 5, 'result34': 10, 'c': 20}]

df = pd.DataFrame(data2)

df

    c   result1     result34    test    test2
0   NaN     2.0     NaN     NaN     1.0
1   20.0    NaN     10.0    5.0     NaN

Now filter

df.filter(like='result',axis=1)

Get..

   result1  result34
0   2.0     NaN
1   NaN     10.0