scipy.stats.mstats.mode¶
-
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 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.]))