Answers for "pandas merge two dataframes based on column value"

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 df

bigdata = pd.concat([data1, data2], ignore_index=True, sort=False)

How to join two dataframes by 2 columns so they have only the common rows?

import pandas as pd 
import numpy as np

df1 = pd.DataFrame({'fruit': ['apple', 'banana', 'orange'] * 3,
                    'weight': ['high', 'medium', 'low'] * 3,
                    'price': np.random.randint(0, 15, 9)})

df2 = pd.DataFrame({'pazham': ['apple', 'orange', 'pine'] * 2,
                    'kilo': ['high', 'low'] * 3,
                    'price': np.random.randint(0, 15, 6)})
out = df1.merge(df2,left_on=('fruit','weight'),right_on=('pazham','kilo'),how='inner',suffixes=('_left','_right')).head(10)

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_col