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 stats.mode.

Examples

>>> 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])
>>> stats.mode(m_arr)
ModeResult(mode=array([0]), count=array([4]))
>>> mstats.mode(m_arr)
ModeResult(mode=array([1.]), count=array([2.]))