merge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
merge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
join on column pandas
# df1 as main df and use the feild from df2 and map it into df1
df1.merge(df2,on='columnName',how='left')
merge two dataframes based on column
df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_col
dataframe concatenate
# Pandas for Python
df['col1 & col2'] = df['col1']+df['col2']
#Output
#col1 col2 col1 & col2
#A1 A2 A1A2
#B1 B2 B1B2
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