# scipy.stats.mstats.tmin

scipy.stats.mstats.tmin(a, lowerlimit=None, axis=0, inclusive=True)

  Compute the trimmed minimum

  Parameters:
    a array_like

      array of values

    lowerlimit None or float, optional

      Values in the input array less than the given limit will be ignored. When lowerlimit is None, then all values are used. The default value is None.

    axis int or None, optional

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

    inclusive{True, False}, optional

      This flag determines whether values exactly equal to the lower limit are included. The default value is True.

  Returns:
    tmin float, int or ndarray

  Notes

  For more details on `tmin`, see `scipy.stats.tmin`.

  Examples

      >>> import numpy as np
      >>> from scipy.stats import mstats
      >>> a = np.array([[6, 8, 3, 0],
      ...               [3, 2, 1, 2],
      ...               [8, 1, 8, 2],
      ...               [5, 3, 0, 2],
      ...               [4, 7, 5, 2]])
      ...
      >>> mstats.tmin(a, 5)
      masked_array(data=[5, 7, 5, --],
                   mask=[False, False, False,  True],
             fill_value=999999)