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'])

Source: stackoverflow.com

Pandas merge two columns from different dataframes

#suppose you have two dataframes df1 and df2, and 
#you need to merge them along the column id
df_merge_col = pd.merge(df1, df2, on='id')

Take union of two dataframes pandas

m = {'left_only': 'df1', 'right_only': 'df2', 'both': 'df1, df2'}

result = df1.merge(df2, on=['A'], how='outer', indicator='B')
result['B'] = result['B'].map(m)

result

Source: stackoverflow.com

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