sinh(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

Some inconsistencies with the Dask version may exist.

Hyperbolic sine, element-wise.

Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) or -1j * np.sin(1j*x) .

Notes

If :None:None:`out` is provided, the function writes the result into it, and returns a reference to :None:None:`out`. (See Examples)

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

This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`out` array is created via the default out=None , locations within it where the condition is False will remain uninitialized.

**kwargs :

For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs> .

Returns

y : ndarray

The corresponding hyperbolic sine values. This is a scalar if x is a scalar.

This docstring was copied from numpy.sinh.

Examples

This example is valid syntax, but we were not able to check execution

>>> np.sinh(0)  # doctest: +SKIP
0.0

This example is valid syntax, but we were not able to check execution

>>> np.sinh(np.pi*1j/2)  # doctest: +SKIP
1j

This example is valid syntax, but we were not able to check execution

>>> np.sinh(np.pi*1j) # (exact value is 0)  # doctest: +SKIP
1.2246063538223773e-016j

This example is valid syntax, but we were not able to check execution

>>> # Discrepancy due to vagaries of floating point arithmetic.

This example is valid syntax, but we were not able to check execution

>>> # Example of providing the optional output parameter
... out1 = np.array([0], dtype='d')  # doctest: +SKIP
... out2 = np.sinh([0.1], out1)  # doctest: +SKIP
... out2 is out1  # doctest: +SKIP
True

This example is valid syntax, but we were not able to check execution

>>> # Example of ValueError due to provision of shape mis-matched `out`
... np.sinh(np.zeros((3,3)),np.zeros((2,2)))  # doctest: +SKIP
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ValueError: operands could not be broadcast together with shapes (3,3) (2,2)

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.ufunc.sin dask.array.ufunc.arccosh

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