value counts not working with a column filter in Pandas

Question

everyone I was trying to count the number of Yes answered in a column depending on the answer from another previous column to generate pie charts so I’m having problems with this because is giving me counts in boolean like in image below, (This is my codeline):

answers = ['Yes']
hello = (df['Are you okay?']== 'No') &(df['Are yu sad?'].isin(answers))

Actually I just want that the result will be something like this:

Yes 
110

EDIT:

This is my result and in red the thing that I want

Asked By: Eduardomaker

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Source

Answer 1

hello in this case, is an array of boolean. Apply the array to original dataframe.

answers = ['Yes']
hello = df[(df['Are you okay?']== 'No') &(df['Are yu sad?'].isin(answers))]

then apply hello.value_counts()

Answered By: Rodrigo Guzman

Answer 2

If need count values of boolean mask use sum for processing Trues:

answers = ['Yes']
hello = (df['Are you okay?']== 'No') &(df['Are yu sad?'].isin(answers))

df = pd.DataFrame({answers[0]: hello.sum()})

If ned count Are yu sad? column by condition df['Are you okay?']== 'No' use:

df1 = (df.loc[df['Are you okay?']== 'No', 'Are yu sad?']
         .value_counts()
         .rename_axis('Vals')
         .reset_index(name='Count'))

Answered By: jezrael

value counts not working with a column filter in Pandas

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