GroupBy.
bfill
Synonym for DataFrame.fillna() with method=`bfill`.
method=`bfill`
1 and columns are not supported.
Fill in place (do not create a new object)
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. If method is not specified, this is the maximum number of entries along the entire axis where NaNs will be filled. Must be greater than 0 if not None
DataFrame with NA entries filled.
Examples
>>> df = ps.DataFrame({ ... 'A': [1, 1, 2, 2], ... 'B': [2, 4, None, 3], ... 'C': [None, None, None, 1], ... 'D': [0, 1, 5, 4] ... }, ... columns=['A', 'B', 'C', 'D']) >>> df A B C D 0 1 2.0 NaN 0 1 1 4.0 NaN 1 2 2 NaN NaN 5 3 2 3.0 1.0 4
Propagate non-null values backward.
>>> df.groupby(['A']).bfill().sort_index() B C D 0 2.0 NaN 0 1 4.0 NaN 1 2 3.0 1.0 5 3 3.0 1.0 4