pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")join tables pandas
In [99]: result = left.join(right, on=['key1', 'key2'], how='inner')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 4Copyright © 2021 Codeinu
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