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 - 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.]))