@piyusharma95 wrote:
I’ve two dataframes with same shape. I’m doing left merge operation with pandas on both dataframes using
oppmaster_india1 = pd.merge(opp_master_india, email_ind[['Customer ID', 'Email']], on='Customer ID', how='left')& left join using
oppmaster_india3 = sqldf("select [opp_master_india].*, [email_ind].[Email] as 'Email' from opp_master_india left join email_ind on [opp_master_india].[Customer ID] = [email_ind].[Customer ID]")but the shape of resultant dataframes in both operations is coming different. Any idea, why?
In[247]: oppmaster_india3.shape
Out[247]: (3772516, 14)
In[248]: oppmaster_india1.shape
Out[248]: (3772644, 14)
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