merge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outermerge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outerpd merge on multiple columns
new_df = pd.merge(A_df, B_df, how='left', left_on=['A_c1','c2'], right_on = ['B_c1','c2'])how to merge two pandas dataframes on a column
import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')merge two dataframes based on column
df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_colpandas join two columns
df['FullName'] = df[['First_Name', 'Last_Name']].agg('-'.join, axis=1)Copyright © 2021 Codeinu
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