scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
Returns
tmin: float :
tmax(a, upperlimit, axis=0, inclusive=True)
Compute the trimmed maximum
This function computes the maximum value of an array along a given axis, while ignoring values larger than a
specified upper limit.
Parameters
a : array_like
array of values
upperlimit : None or float, optional
Values in the input array greater than the given limit will be ignored. When upperlimit
is None, then all values are used. The default value is None.
axis : None or int, optional
Operate along this axis. None means to use the flattened array and the default is zero.
inclusive : {True, False}, optional
Returns
tmax : float
This flag determines whether values exactly equal to the upper limit are included.
The default value is True.
tstd(a, limits=None, inclusive=(1, 1))
Compute the trimmed sample standard deviation
This function finds the sample standard deviation 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, then all values are used. Either of the limit values
in the tuple can also be None representing a half-open interval. The default value is
None.
inclusive : (bool, bool), optional
Returns
tstd : float
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).
tsem(a, limits=None, inclusive=(True, True))
Compute the trimmed standard error of the mean
This function finds the standard error of the mean for given values, ignoring values outside the given limits.
Parameters
a : array_like
array of values
642 Chapter 3. Reference