cosh(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
Equivalent to 1/2 * (np.exp(x) + np.exp(-x))
and np.cos(1j*x)
.
Input array.
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.
This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`out` array is created via the default out=None
, locations within it where the condition is False will remain uninitialized.
For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs>
.
Hyperbolic cosine, element-wise.
>>> np.cosh(0) 1.0
The hyperbolic cosine describes the shape of a hanging cable:
This example is valid syntax, but we were not able to check execution>>> import matplotlib.pyplot as pltSee :
... x = np.linspace(-4, 4, 1000)
... plt.plot(x, np.cosh(x))
... plt.show()
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.core.arccosh
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