Pandas ließ sich an
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")
Comfortable Cockroach
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_colIn [6]: result = pd.concat(frames, keys=['x', 'y', 'z'])
In [8]: df4 = pd.DataFrame({'B': ['B2', 'B3', 'B6', 'B7'],
...: 'D': ['D2', 'D3', 'D6', 'D7'],
...: 'F': ['F2', 'F3', 'F6', 'F7']},
...: index=[2, 3, 6, 7])
...:
In [9]: result = pd.concat([df1, df4], axis=1, sort=False)