toto.interpolations.fill

Fill NA/NaN values using the specified method.

Parameters

input_array(Panda Obj)

The Panda dataframe.

value, float

Value to use to fill holes (e.g. 0),

limit, int

If method is specified, this is the maximum number of consecutive NaN values to forward/backward fill. In other words, if there is a gap with more than this number of consecutive NaNs, it will only be partially filled.

method {‘backfill’, ‘bfill’, ‘pad’, ‘ffill’, None}, default None

Method to use for filling holes in reindexed Series pad / ffill: propagate last valid observation forward to next valid backfill / bfill: use next valid observation to fill gap.

Note

See https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html

toto.interpolations.fill.fill(input_array, args={'limit': 0, 'method': {'None': True, 'backfill': False, 'bfill': False, 'ffill': False, 'pad': False}, 'value': 0.0})