numpy.cosh()

numpy.cosh(x[, out]) =

Hyperbolic cosine, element-wise.

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

Parameters:

Parameters:	x : array_like Input array.
Returns:	out : ndarray Output array of same shape as `x`.

x : array_like

Input array.

Returns:

out : ndarray

Output array of same shape as x.

>>> 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()

(Source code, png, pdf)

Links:

doc_NumPy

2025-01-10 15:47:30

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