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Module « scipy.stats »

Fonction tmean - module scipy.stats

Signature de la fonction tmean

def tmean(a, limits=None, inclusive=(True, True), axis=None, *, nan_policy='propagate', keepdims=False) 

Description

help(scipy.stats.tmean)

    


Compute the trimmed mean.

This function finds the arithmetic mean of given values, ignoring values
outside the given `limits`.

Parameters
----------
a : array_like
    Array of values.
limits : None or (lower limit, upper limit), optional
    Values in the input array less than the lower limit or greater than the
    upper limit will be ignored.  When limits is None (default), then all
    values are used.  Either of the limit values in the tuple can also be
    None representing a half-open interval.
inclusive : (bool, bool), optional
    A tuple consisting of the (lower flag, upper flag).  These flags
    determine whether values exactly equal to the lower or upper limits
    are included.  The default value is (True, True).
axis : int or None, default: None
    If an int, the axis of the input along which to compute the statistic.
    The statistic of each axis-slice (e.g. row) of the input will appear in a
    corresponding element of the output.
    If ``None``, the input will be raveled before computing the statistic.
nan_policy : {'propagate', 'omit', 'raise'}
    Defines how to handle input NaNs.
    
    - ``propagate``: if a NaN is present in the axis slice (e.g. row) along
      which the  statistic is computed, the corresponding entry of the output
      will be NaN.
    - ``omit``: NaNs will be omitted when performing the calculation.
      If insufficient data remains in the axis slice along which the
      statistic is computed, the corresponding entry of the output will be
      NaN.
    - ``raise``: if a NaN is present, a ``ValueError`` will be raised.
keepdims : bool, default: False
    If this is set to True, the axes which are reduced are left
    in the result as dimensions with size one. With this option,
    the result will broadcast correctly against the input array.

Returns
-------
tmean : ndarray
    Trimmed mean.

See Also
--------

:func:`trim_mean`
    Returns mean after trimming a proportion from both tails.


Notes
-----

Beginning in SciPy 1.9, ``np.matrix`` inputs (not recommended for new
code) are converted to ``np.ndarray`` before the calculation is performed. In
this case, the output will be a scalar or ``np.ndarray`` of appropriate shape
rather than a 2D ``np.matrix``. Similarly, while masked elements of masked
arrays are ignored, the output will be a scalar or ``np.ndarray`` rather than a
masked array with ``mask=False``.

Examples
--------
>>> import numpy as np
>>> from scipy import stats
>>> x = np.arange(20)
>>> stats.tmean(x)
9.5
>>> stats.tmean(x, (3,17))
10.0

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