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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

      >>> 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.]))