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How to replace NaN column value with the previous column value in pandas...
I am trying to merge two dataframes that does not have equal number of rows or columns. It results in NaN values. I want to fill this NaN values with the previous value in the column.import pandas as...
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In this case all you need is the ffill() methodresult = pd.merge(df1, df, how='outer').ffill() # Will give your wanted series
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