mode — SciPy v1.15.3 Manual (original) (raw)

scipy.stats.mstats.

scipy.stats.mstats.mode(a, axis=0)[source]#

Returns an array of the modal (most common) value in the passed array.

Parameters:

aarray_like

n-dimensional array of which to find mode(s).

axisint or None, optional

Axis along which to operate. Default is 0. If None, compute over the whole array a.

Returns:

modendarray

Array of modal values.

countndarray

Array of counts for each mode.

Notes

For more details, see scipy.stats.mode.

Examples

import numpy as np from scipy import stats from scipy.stats import mstats m_arr = np.ma.array([1, 1, 0, 0, 0, 0], mask=[0, 0, 1, 1, 1, 0]) mstats.mode(m_arr) # note that most zeros are masked ModeResult(mode=array([1.]), count=array([2.]))