count_above_mean¶

count_above_mean(X: ndarray) → float[source]¶

Numba count above mean for a 1d numpy array.

Parameters:

X1d numpy array: A 1d numpy array of values

Returns:

mean_crossing_countfloat: The count above mean of the input array

Examples

>>> import numpy as np
>>> from aeon.utils.numba.stats import count_above_mean
>>> X = np.array([1, 2, 2, 3, 3, 3, 4, 4, 4, 4])
>>> c = count_above_mean(X)