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

​

df_outer

​

pip install pyinstaller

​

pyinstaller <file name>.py

pyinstaller --onefile <file name>.py

df_merge_col = pd.merge(df_row, df3, on='id')

​

df_merge_col

pyinstaller --onefile --windowed --icon=<project-logo>.ico --add-data "<folder>;<folder>" <filename.py>

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

df_merge_col = pd.merge(df_row, df3, on='id')

​

df_merge_col

​

#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')

# Merging 3 or more dataframes base on a common column

import pandas as pd

from functools import reduce

​

#Create a list of df to combine

list_of_df = [df_1,df_2,df_3]

​

#merge them together

df_combined = reduce(lambda left,right: pd.merge(left,right,on='common column'), list_of_df)

import pandas as pd

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

pip install pyinstaller

​