scipy.stats.mstats.hmean¶
- scipy.stats.mstats.hmean(a, axis=0, dtype=None)[source]¶
Calculate the harmonic mean along the specified axis.
That is: n / (1/x1 + 1/x2 + … + 1/xn)
- Parameters
- aarray_like
Input array, masked array or object that can be converted to an array.
- axisint or None, optional
Axis along which the harmonic mean is computed. Default is 0. If None, compute over the whole array a.
- dtypedtype, 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
- hmeanndarray
See dtype parameter above.
See also
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.
Examples
>>> from scipy.stats import hmean >>> hmean([1, 4]) 1.6000000000000001 >>> hmean([1, 2, 3, 4, 5, 6, 7]) 2.6997245179063363