scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
hmean
Harmonic mean
Notes
The geometric average is computed over a single dimension of the input array, axis=0 by default, or all values
in the array if axis=None. float64 intermediate and return values are used for integer inputs.
Use masked arrays to ignore any non-finite values in the input or that arise in the calculations such as Not a
Number and infinity because masked arrays automatically mask any non-finite values.
hmean(a, axis=0)
Calculates the harmonic mean along the specified axis.
That is: n / (1/x1 + 1/x2 + ... + 1/xn)
See Also:
Parameters
a : array_like
Input array, masked array or object that can be converted to an array.
axis : int, optional, default axis=0
Axis along which the harmonic mean is computed.
dtype : dtype, optional
Type of the returned array and of the accumulator in which the elements are summed.
If dtype is not specified, it defaults to the dtype of a, unless a has an integer dtype
with a precision less than that of the default platform integer. In that case, the default
platform integer is used.
Returns
hmean : ndarray, see dtype parameter above
numpy.mean
Arithmetic average
numpy.average
Weighted average
gmean
Geometric mean
Notes
The harmonic mean is computed over a single dimension of the input array, axis=0 by default, or all values in
the array if axis=None. float64 intermediate and return values are used for integer inputs.
Use masked arrays to ignore any non-finite values in the input or that arise in the calculations such as Not a
Number and infinity.
kendalltau(x, y, use_ties=True, use_missing=False)
Computes Kendall’s rank correlation tau on two variables x and y.
Parameters
xdata: sequence :
First data list (for example, time).
ydata: sequence :
674 Chapter 3. Reference