exactly equal to the lower or upper limits
    are included.  The default value is (True, True).
axis : int or None, optional
    Axis along which to operate. If None, compute over the
    whole array. Default is None.

Returns
-------
tmean : float

Notes
-----
For more details on `tmean`, see `scipy.stats.tmean`.

Examples
--------
>>> import numpy as np
>>> from scipy.stats import mstats
>>> a = np.array([[6, 8, 3, 0],
...               [3, 9, 1, 2],
...               [8, 7, 8, 2],
...               [5, 6, 0, 2],
...               [4, 5, 5, 2]])
...
...
>>> mstats.tmean(a, (2,5))
3.3
>>> mstats.tmean(a, (2,5), axis=0)
masked_array(data=[4.0, 5.0, 4.0, 2.0],
             mask=[False, False, False, False],
       fill_value=1e+20)

rÞ