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# scipy.stats.tmin

`scipy.stats.``tmin`(a, lowerlimit=None, axis=0, inclusive=True, nan_policy='propagate')

  Compute the trimmed minimum

  This function finds the miminum value of an array a along the specified axis, but only considering values greater than a specified lower limit.

  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. nan_policy : {‘propagate’, ‘raise’, ‘omit’}, optional Defines how to handle when input contains nan. ‘propagate’ returns nan, ‘raise’ throws an error, ‘omit’ performs the calculations ignoring nan values. Default is ‘propagate’.
  Returns: | tmin : float, int or ndarray

  Examples

      >>> from scipy import stats
      >>> x = np.arange(20)
      >>> stats.tmin(x)
      0

      >>> stats.tmin(x, 13)
      13

      >>> stats.tmin(x, 13, inclusive=False)
      14