# Merging 3 or more dataframes base on a common column

import pandas as pd

from functools import reduce

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#Create a list of df to combine

list_of_df = [df_1,df_2,df_3]

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#merge them together

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

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

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df_outer

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pip install pyinstaller

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pyinstaller <file name>.py

pyinstaller --onefile <file name>.py

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

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

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df_merge_col

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#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')

import pandas as pd

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

pip install pyinstaller

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import pandas

dfinal = df1.merge(df2, on="movie_title", how = 'inner')

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merged_df = left_df.merge(right_df, how='inner', left_on=["A", "B"], right_on=["A2","B2"])