Answers for "merge based on two columns pandas"

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

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combine dataframes with two matching columns

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

Posted by: Guest on March-17-2021

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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

how to merge two pandas dataframes on a column

import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')

Posted by: Guest on June-19-2020

Source

merge two columns pandas

df["period"] = df["Year"] + df["quarter"]

Posted by: Guest on May-10-2020

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