`scipy.stats._mstats_basic:tmin`

source: /scipy/stats/_mstats_basic.py :2412

Signature

def tmin ( a , lowerlimit = None , axis = 0 , inclusive = True )

Summary

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)

✓

Aliases

scipy.stats._mstats_basic.tmin