pandas combine two data frames with same index and same columns
pd.merge(df1, df2, left_index=True, right_index=True, how='outer')pandas combine two data frames with same index and same columns
pd.merge(df1, df2, left_index=True, right_index=True, how='outer')python - join two columns and transform it as index
df = DataFrame({'var_1':['a','b','c'], 'var_2':[1, 2, 3], 'var_3':['apple', 'banana', 'pear']})
cols = ['var_1', 'var_2'] # Set columns to combine
df['combined'] = df[cols].apply(lambda row: ', '.join(row.values.astype(str)), axis=1)
# Define which column is index
df_i = df.set_index('combined')
# Set the index to None
df_i.index.names = [None]Copyright © 2021 Codeinu
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