numpy.cosh
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numpy.cosh(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'cosh'>
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Hyperbolic cosine, element-wise.
Equivalent to
1/2 * (np.exp(x) + np.exp(-x))
andnp.cos(1j*x)
.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: -
out : ndarray or scalar
-
Output array of same shape as
x
. This is a scalar ifx
is a scalar.
Examples
>>> np.cosh(0) 1.0
The hyperbolic cosine describes the shape of a hanging cable:
>>> import matplotlib.pyplot as plt >>> x = np.linspace(-4, 4, 1000) >>> plt.plot(x, np.cosh(x)) >>> plt.show()
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Licensed under the 3-clause BSD License.
https://docs.scipy.org/doc/numpy-1.16.1/reference/generated/numpy.cosh.html