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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