pandas.DataFrame.fillna¶
- DataFrame.fillna(value=None, method='pad', axis=0, inplace=False, limit=None)¶
Fill NA/NaN values using the specified method
Parameters : method : {‘backfill’, ‘bfill’, ‘pad’, ‘ffill’, None}, default ‘pad’
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
value : scalar or dict
Value to use to fill holes (e.g. 0), alternately a dict of values specifying which value to use for each column (columns not in the dict will not be filled)
axis : {0, 1}, default 0
0: fill column-by-column 1: fill row-by-row
inplace : boolean, default False
If True, fill the DataFrame in place. Note: this will modify any other views on this DataFrame, like if you took a no-copy slice of an existing DataFrame, for example a column in a DataFrame. Returns a reference to the filled object, which is self if inplace=True
limit : int, default None
Maximum size gap to forward or backward fill
Returns : filled : DataFrame