Count Partial match in each DataFrame Column in Pandas

Question

I have Data frame in which I want to count occurrence of some word per each column. Per one coumn I can do:

df['Col1'].str.contains('test').value_couns()

or

df[df['Col1'].str.contains('test')]['Col1'].count()

and i get count for particular column.

How can I get it for all columns? I would like to avoid do it manually per each column since there are quite a few of them.

Expected output

Answer 1

one way to solve this, As Submi Tried,

print (df.astype(str).apply(lambda x: x.str.contains('test').value_counts()).loc[True].fillna(0)).to_frame().T.reset_index(drop=True)

Output:

   col1  col2  col3
0   1.0   0.0   2.0

Answer 2

我认为您正在寻找：

df.applymap(lambda x: 'test' in str(x)).sum()