`numpy:cosh`

Summary

Hyperbolic cosine, element-wise.

Equivalent to 1/2 * (np.exp(x) + np.exp(-x)) and np.cos(1j*x).

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: This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.
**kwargs: For other keyword-only arguments, see the ufunc docs.

out : ndarray or scalar: Output array of same shape as x. This is a scalar if x is a scalar.

import numpy as np

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np.cosh(0)

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np.float64(1.0)

The hyperbolic cosine describes the shape of a hanging cable:

import matplotlib.pyplot as plt
x = np.linspace(-4, 4, 1000)

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plt.plot(x, np.cosh(x))

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[<matplotlib.lines.Line2D object at 0x7fe9872f74d0>]

plt.show()

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