pandas - forward fill method fills extended rows -


forward fill method overwrites 'na' values original file. there way treat "na" literally instead of converting nan while reading file?

!wget https://s3.amazonaws.com/datameetgeo/sample.txt  import pandas pd df=pd.read_csv('sample.txt', sep='\t') df=df.fillna(method='ffill')

as can seen in above example, value of "c-54465" carried forward next college code 954. wrong , should limited first 22 rows. there way control how ffill works or how "na" values treaded while reading?

by default pd.read_csv interprets na null. can turn off parameter keep_default_na=false

pd.read_csv('sample.txt', sep='\t', keep_default_na=false)

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