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numpy.cosh(x[, out]) =
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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.
Returns: out : ndarray
Output array of same shape as
x
.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()
(Source code, png, pdf)
numpy.cosh()
2017-01-10 18:13:33
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