numpy.arccosh
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numpy.arccosh(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'arccosh'>
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Inverse hyperbolic cosine, element-wise.
Parameters: x : array_like
Input array.
out : ndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or
None
, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.where : array_like, optional
Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs
For other keyword-only arguments, see the ufunc docs.
Returns: arccosh : ndarray
Array of the same shape as
x
.Notes
arccosh
is a multivalued function: for eachx
there are infinitely many numbersz
such thatcosh(z) = x
. The convention is to return thez
whose imaginary part lies in[-pi, pi]
and the real part in[0, inf]
.For real-valued input data types,
arccosh
always returns real output. For each value that cannot be expressed as a real number or infinity, it yieldsnan
and sets theinvalid
floating point error flag.For complex-valued input,
arccosh
is a complex analytical function that has a branch cut[-inf, 1]
and is continuous from above on it.References
[R2] M. Abramowitz and I.A. Stegun, “Handbook of Mathematical Functions”, 10th printing, 1964, pp. 86. http://www.math.sfu.ca/~cbm/aands/ [R3] Wikipedia, “Inverse hyperbolic function”, http://en.wikipedia.org/wiki/Arccosh Examples
>>> np.arccosh([np.e, 10.0]) array([ 1.65745445, 2.99322285]) >>> np.arccosh(1) 0.0
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https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.arccosh.html