maxframe.liteframe.LiteFrame.fillna

LiteFrame.fillna(value=None)

Fill missing values.

Parameters:

value (scalar or dict) – Scalar value to fill all NAs, or {column: value} for per-column fill values. Columns not present in the dict are left unchanged.

Returns:

LiteFrame with missing values filled.

Return type:

LiteFrame

See also

isna

Detect missing values.

dropna

Drop rows with missing values.

replace

Replace values in the LiteFrame.

Examples

>>> import maxframe.liteframe as mlf
>>> lf = mlf.LiteFrame({'a': [1.0, None, 3.0], 'b': [4.0, 5.0, None]})
>>> result = lf.fillna(0)
>>> result.execute()
     a    b
0  1.0  4.0
1  0.0  5.0
2  3.0  0.0