pd merge on multiple columns
new_df = pd.merge(A_df, B_df, how='left', left_on=['A_c1','c2'], right_on = ['B_c1','c2'])pd merge on multiple columns
new_df = pd.merge(A_df, B_df, how='left', left_on=['A_c1','c2'], right_on = ['B_c1','c2'])pandas join two series on index
# credit to Stack Overflow user in the source link
s1 = pd.Series([1, 2], index=['A', 'B'], name='s1')
s2 = pd.Series([3, 4], index=['A', 'B'], name='s2')
pd.concat([s1, s2], axis=1)
Out:
s1 s2
A 1 3
B 2 4
pd.concat([s1, s2], axis=1).reset_index()
Out:
index s1 s2
0 A 1 3
1 B 2 4merge dataframe pandas
>>> df1.merge(df2, left_on='lkey', right_on='rkey')
lkey value_x rkey value_y
0 foo 1 foo 5
1 foo 1 foo 8
2 foo 5 foo 5
3 foo 5 foo 8
4 bar 2 bar 6
5 baz 3 baz 7Copyright © 2021 Codeinu
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