Menu
Now I have dataframe and list.
A B
1 a
2 b
3 c
4 d
5 e
list=[a,b,c]
I would like to drop rows by df.B refering to list.
I would like to below df
A B
4 d
5 e
How can I get this result?
555
To remove duplicates of only one or a subset of columns, specify subset as the individual column or list of columns that should be unique. To do this conditional on a different column's value, you can sort_values(colname) and specify keep equals either first or last .
You can use isin with inverted mask by ~.
I think list is not good name in python, better is L, because list is code word and if assign variable you override it:
L= ['a','b','c']
print (df[~df.B.isin(L)])
A B
3 4 d
4 5 e
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
