How to make conditions based on multiple columns of a row in pandas
Question:
I have the following dataframe:
score firstyearrisk allfuture Pharmas Nutras
Gene
ANK2 0.0 - - Risperidone[9] Risperidone[9]
CCL4 1.0 1.0 1.0 Risperidone[9] -
And I would like to remove the pharmas or nutras from every row where the score, firstyearris, allfuture add up to 0. There are dashes within these columns so those should be counted as 0, but not alter the table.
Something like this would be good:
score firstyearrisk allfuture Pharmas Nutras
Gene
ANK2 0.0 - - - -
CCL4 1.0 1.0 1.0 Risperidone[9] -
Answers:
Before fill NA with -, you can try
cols1 = ['score', 'firstyearrisk', 'allfuture']
cols2 = ['Pharmas', 'Nutras']
df.loc[df[cols1].sum(axis=1).eq(0), cols2] = 0
I have the following dataframe:
score firstyearrisk allfuture Pharmas Nutras
Gene
ANK2 0.0 - - Risperidone[9] Risperidone[9]
CCL4 1.0 1.0 1.0 Risperidone[9] -
And I would like to remove the pharmas or nutras from every row where the score, firstyearris, allfuture add up to 0. There are dashes within these columns so those should be counted as 0, but not alter the table.
Something like this would be good:
score firstyearrisk allfuture Pharmas Nutras
Gene
ANK2 0.0 - - - -
CCL4 1.0 1.0 1.0 Risperidone[9] -
Before fill NA with -, you can try
cols1 = ['score', 'firstyearrisk', 'allfuture']
cols2 = ['Pharmas', 'Nutras']
df.loc[df[cols1].sum(axis=1).eq(0), cols2] = 0