empty fields to be filled with previous values

In the above sample data, I have empty fields and now the task is to fill the fields with previous values. my columns are dates and the values are a number of items present for that particular article for the specific date. which would be a faster way to interpolate the missing fields. Any suggestions to build the function is appreciated.

Topic numpy interpolation time-series pandas python

Category Data Science

1
answered at

You can use fillna function with ffill method:

df.fillna(method='ffill', inplace=True)

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