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In the following pandas.DataFframe:
df =
alfa beta ceta
a,b,c c,d,e g,e,h
a,b d,e,f g,h,k
j,k c,k,l f,k,n
How to drop the rows in which the column values for alfa has more than 2 elements? This can be done using the length function, I know but not finding a specific answer.
df = df[['alfa'].str.split(',').map(len) < 3]
943
Use pandas. DataFrame. drop() method to delete/remove rows with condition(s).
To drop a row or column in a dataframe, you need to use the drop() method available in the dataframe. You can read more about the drop() method in the docs here. Rows are labelled using the index number starting with 0, by default. Columns are labelled using names.
You can do that test to each row in turn using pandas.DataFrame.apply()
print(df[df['alfa'].apply(lambda x: len(x.split(',')) < 3)])
Gives:
alfa beta ceta
1 a,b d,e,f g,h,k
2 j,k c,k,l f,k,n
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