scipy.stats.tmin¶

scipy.stats.tmin(a, lowerlimit=None, axis=0, inclusive=True, nan_policy='propagate')[source]¶

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

aarray_like: array of values
lowerlimitNone 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.
axisint 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

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