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.
You can use fillna function with ffill method:

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