Points.proportionMissing¶
- Points.proportionMissing()¶
Returns a nimble object representing the proportion of values that are None or NaN along the points axis.
Examples
>>> lst = [[float('nan'), 2, 0], [0, 2, float('nan')]] >>> X = nimble.data(lst) >>> X.points.proportionMissing() <Matrix 2pt x 1ft proportionmissing ┌────────────────── 0 │ 0.333 1 │ 0.333 >