maxframe.liteframe.isna#

maxframe.liteframe.isna(lf)[source]#

Detect missing values.

Returns a boolean LiteFrame of the same shape where each cell is True where the corresponding value is null (NA) and False otherwise.

Returns:: Boolean LiteFrame marking null positions with True.
Return type:: LiteFrame

See also

notna: Detect non-missing values.
dropna: Drop rows with missing values.
fillna: Fill missing values.

Examples

>>> import maxframe.liteframe as mlf
>>> lf = mlf.LiteFrame({'a': [1.0, None, 3.0]})
>>> result = lf.isna()
>>> result.execute()
       a
0  False
1   True
2  False