Keeping Blank Values For Int Columns In Python Pandas
I am loading csv files to sql server table. EmpNo Ename ProdID Sales Value Int Varchar Int Int Float But I am getting ProdID,Sales,Amount Values as 0 for blanks.But want to keep th
Solution 1:
Try:
df=df.where(df[['Ename','ProdID','Sales']].eq(' '),0)
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