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numpy.tanh(x[, out]) =
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Compute hyperbolic tangent element-wise.
Equivalent to
np.sinh(x)/np.cosh(x)
or-1j * np.tan(1j*x)
.Parameters: x : array_like
Input array.
out : ndarray, optional
Output array of same shape as
x
.Returns: y : ndarray
The corresponding hyperbolic tangent values.
Raises: ValueError: invalid return array shape
if
out
is provided andout.shape
!=x.shape
(See Examples)Notes
If
out
is provided, the function writes the result into it, and returns a reference toout
. (See Examples)References
[R284] M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions. New York, NY: Dover, 1972, pg. 83. http://www.math.sfu.ca/~cbm/aands/ [R285] Wikipedia, ?Hyperbolic function?, http://en.wikipedia.org/wiki/Hyperbolic_function Examples
>>> np.tanh((0, np.pi*1j, np.pi*1j/2)) array([ 0. +0.00000000e+00j, 0. -1.22460635e-16j, 0. +1.63317787e+16j])
>>> # Example of providing the optional output parameter illustrating >>> # that what is returned is a reference to said parameter >>> out2 = np.tanh([0.1], out1) >>> out2 is out1 True
>>> # Example of ValueError due to provision of shape mis-matched `out` >>> np.tanh(np.zeros((3,3)),np.zeros((2,2))) Traceback (most recent call last): File "<stdin>", line 1, in <module> ValueError: invalid return array shape
numpy.tanh()
2017-01-10 18:18:51
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