Answers for "pandas merge on two columns"

Python

merge two dataframes based on column

df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column

df_outer

Posted by: Guest on July-27-2020

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'])

Posted by: Guest on March-26-2020

Source

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')

Posted by: Guest on May-15-2020

python inner join based on two columns

df  = pd.merge(left=df1, right=df2, on=['var_1', 'var_2'], how='inner']

Posted by: Guest on December-08-2020

Source

combine dataframes with two matching columns

merged_df = DF2.merge(DF1, how = 'inner', on = ['date', 'hours'])

Posted by: Guest on March-17-2021

Source

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')

Posted by: Guest on September-03-2020

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