numpy.cosh(x[, out]) =
Hyperbolic cosine, element-wise.
Equivalent to 1/2 * (np.exp(x) + np.exp(-x))
and np.cos(1j*x)
.
Parameters: |
x : array_like Input array. |
---|---|
Returns: |
out : ndarray Output array of same shape as |
>>> 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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https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.cosh.html