numpy.sinh(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'sinh'>
Hyperbolic sine, elementwise.
Equivalent to 1/2 * (np.exp(x)  np.exp(x))
or 1j * np.sin(1j*x)
.
Parameters: 


Returns: 

If out
is provided, the function writes the result into it, and returns a reference to out
. (See Examples)
M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions. New York, NY: Dover, 1972, pg. 83.
>>> np.sinh(0) 0.0 >>> np.sinh(np.pi*1j/2) 1j >>> np.sinh(np.pi*1j) # (exact value is 0) 1.2246063538223773e016j >>> # Discrepancy due to vagaries of floating point arithmetic.
>>> # Example of providing the optional output parameter >>> out1 = np.array([0], dtype='d') >>> out2 = np.sinh([0.1], out1) >>> out2 is out1 True
>>> # Example of ValueError due to provision of shape mismatched `out` >>> np.sinh(np.zeros((3,3)),np.zeros((2,2))) Traceback (most recent call last): File "<stdin>", line 1, in <module> ValueError: operands could not be broadcast together with shapes (3,3) (2,2)
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.sinh.html