merge with the help of left join, and with the remaining dataframes - through inner. as a result of connecting dataframes in python

To merge two dataframes with a left join and then merge the remaining dataframes with an inner join, you can use the following code:

main.py
import pandas as pd

# merge two dataframes with left join
df_merged = pd.merge(df1, df2, on='key_column', how='left')

# merge remaining dataframes with inner join
df_merged = pd.merge(df_merged, df3, on='key_column', how='inner')
df_merged = pd.merge(df_merged, df4, on='key_column', how='inner')
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In this example, df1 and df2 are merged with a left join using the pd.merge() function. The on parameter specifies the column to merge on, and the how parameter specifies the type of join to perform (in this case, a left join). The resulting merged dataframe is stored in a new dataframe called df_merged.

After merging df1 and df2, the remaining dataframes (df3 and df4 in this example) are merged with an inner join using the same pd.merge() function. The resulting merged dataframe is again stored in the df_merged variable.