numpy.cosh — NumPy v1.15 Manual (original) (raw)
numpy. cosh(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, _subok=True_[, signature, _extobj_]) = <ufunc 'cosh'>¶
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. 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 theufunc docs. |
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| Returns: | out : ndarray or scalar Output array of same shape as x. This is a scalar if x is a scalar. |
Examples
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()
