scipy.stats.mstats.

mode

scipy.stats.mstats.mode(a, axis=0)

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

Try it in your browser!

>>> 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.]))

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