Features.proportionMissing

Features.proportionMissing(groupByFeature=None)

Returns a nimble object representing the proportion of values that are None or NaN along the features axis.

Parameters:

groupByFeature (identifier, None) – An optional index or name of the feature that makes the result grouped by the point values along the chosen feature axis.

Examples

>>> lst = [[float('nan'), 2, 0], [0, 2, float('nan')]]
>>> X = nimble.data(lst)
>>> X.features.proportionMissing()
<Matrix 1pt x 3ft
                       0      1      2
                   ┌────────────────────
 proportionmissing │ 0.500  0.000  0.500
>