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df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_col
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df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
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# Stack the DataFrames on top of each other
vertical_stack = pd.concat([survey_sub, survey_sub_last10], axis=0)
# Place the DataFrames side by side
horizontal_stack = pd.concat([survey_sub, survey_sub_last10], axis=1)
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In [46]: result = pd.merge(left, right, how="right", on=["key1", "key2"])
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import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')
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merged_df = left_df.merge(right_df, how='inner', left_on=["A", "B"], right_on=["A2","B2"])