# 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
    a array_like

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

    axis int or None, optional

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

  Returns
    mode ndarray

      Array of modal values.

    count ndarray

      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.]))

scipy.stats.mstats.kurtosis scipy.stats.mstats.mquantiles