abra :
Say I have a pandas DataFrame with four columns: A,B,C,D.
my_df = pd.DataFrame({'A': [0,1,4,9], 'B': [1,7,5,7],'C':[1,1,1,1],'D':[2,2,2,2]})
I also have a list of tuples:
my_tuples = [(0,1),(4,5),(9,9)]
I want to keep only the rows of the dataframe where the value of (my_df['A'],my_df['B']) is equal to one of the tuples in my_tuples.
In this example, this would be row#0 and row#2.
Is there a good way to do this? I'd appreciate any help.
jezrael :
Use DataFrame.merge with DataFrame created by tuples, there is no on parameter for default interecton of all columns in both DataFrames, here A and B:
df = my_df.merge(pd.DataFrame(my_tuples, columns=['A','B']))
print (df)
A B C D
0 0 1 1 2
1 4 5 1 2
Or:
df = my_df[my_df.set_index(['A','B']).index.isin(my_tuples)]
print (df)
A B C D
0 0 1 1 2
2 4 5 1 2
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