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scipy.stats.mstats.

# trima

scipy.stats.mstats.trima(a, limits=None, inclusive=(True, True))

  Trims an array by masking the data outside some given limits.

  Returns a masked version of the input array.

  Parameters:
    aarray_like

      Input array.

    limits{None, tuple}, optional

      Tuple of (lower limit, upper limit) in absolute values. Values of the input array lower (greater) than the lower (upper) limit will be masked. A limit is None indicates an open interval.

    inclusive(bool, bool) tuple, optional

      Tuple of (lower flag, upper flag), indicating whether values exactly equal to the lower (upper) limit are allowed.

  Examples

      >>> from scipy.stats.mstats import trima
      >>> import numpy as np

      >>> a = np.arange(10)

  The interval is left-closed and right-open, i.e., [2, 8). Trim the array by keeping only values in the interval.

      >>> trima(a, limits=(2, 8), inclusive=(True, False))
      masked_array(data=[--, --, 2, 3, 4, 5, 6, 7, --, --],
                   mask=[ True,  True, False, False, False, False, False, False,
                          True,  True],
             fill_value=999999)