How to get value_counts normalize=True with pandas agg?
Question:
This gives me counts of the # my_other_var that are contained in ‘my_var’
df.groupby('my_var').agg({'my_other_var' : 'value_counts')
What I want is the percentage of ‘my_var’ that is comprised of ‘my_other_var’
I tried this, but does not seem to give me what I expect
df.groupby('my_var').agg({'my_other_var' : lambda x: pd.value_counts(x, normalize=True)})
Answers:
You can use SeriesGroupBy.value_counts :
df.groupby('my_var')['my_other_var'].value_counts(normalize=True)
This gives me counts of the # my_other_var that are contained in ‘my_var’
df.groupby('my_var').agg({'my_other_var' : 'value_counts')
What I want is the percentage of ‘my_var’ that is comprised of ‘my_other_var’
I tried this, but does not seem to give me what I expect
df.groupby('my_var').agg({'my_other_var' : lambda x: pd.value_counts(x, normalize=True)})
You can use SeriesGroupBy.value_counts :
df.groupby('my_var')['my_other_var'].value_counts(normalize=True)