Survey - DF1 - Questions are in Row1, In DF2 all questions are listed in the first column Python

M ob

Please if you can help me with this,

Dataframe 1

Dataframe 2

I want to calculate Number of Yes from DF1 to Df2

Something like this

 for x in DF2['Questions']:
    if x == first row of DF1 count 'Yes'

and it goes through the whole row and where the condition is met, it counts yes and posts in a Dataframe2['Yes']

I have been trying to do this but none of what i did work. Please if you can help me or suggest what should i look at.

Thank you

Ynjxsjmh

df_ = df[['Q1', 'Q2']].eq('Yes').sum(axis=0).to_frame(name='Yes').rename_axis('Questions').reset_index()

print(df_)

  Questions  Yes
0        Q1    1
1        Q2    0

To illustrate step by step:

First you can use df[['Q1', 'Q2']].eq('Yes') to get a boolean dataframe which tells if the value is Yes

      Q1     Q2
0   True  False
1  False  False

Then you can sum this boolean dataframe by row with.sum(axis=0)

Q1    1
Q2    0
dtype: int64

At last, you can reset the Series to dataframe with .to_frame(name='Yes'), rename the index with .rename_axis('Questions') and reset it back to column with .reset_index()

  Questions  Yes
0        Q1    1
1        Q2    0