sin(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
Some inconsistencies with the Dask version may exist.
Trigonometric sine, element-wise.
The sine is one of the fundamental functions of trigonometry (the mathematical study of triangles). Consider a circle of radius 1 centered on the origin. A ray comes in from the $+x$ axis, makes an angle at the origin (measured counter-clockwise from that axis), and departs from the origin. The $y$ coordinate of the outgoing ray's intersection with the unit circle is the sine of that angle. It ranges from -1 for $x=3\pi / 2$ to +1 for $\pi / 2.$ The function has zeroes where the angle is a multiple of $\pi$ . Sines of angles between $\pi$ and $2\pi$ are negative. The numerous properties of the sine and related functions are included in any standard trigonometry text.
Angle, in radians ( $2 \pi$ rad equals 360 degrees).
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.
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.
For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs>
.
This docstring was copied from numpy.sin.
Print sine of one angle:
This example is valid syntax, but we were not able to check execution>>> np.sin(np.pi/2.) # doctest: +SKIP 1.0
Print sines of an array of angles given in degrees:
This example is valid syntax, but we were not able to check execution>>> np.sin(np.array((0., 30., 45., 60., 90.)) * np.pi / 180. ) # doctest: +SKIP array([ 0. , 0.5 , 0.70710678, 0.8660254 , 1. ])
Plot the sine function:
This example is valid syntax, but we were not able to check execution>>> import matplotlib.pylab as plt # doctest: +SKIPSee :
... x = np.linspace(-np.pi, np.pi, 201) # doctest: +SKIP
... plt.plot(x, np.sin(x)) # doctest: +SKIP
... plt.xlabel('Angle [rad]') # doctest: +SKIP
... plt.ylabel('sin(x)') # doctest: +SKIP
... plt.axis('tight') # doctest: +SKIP
... plt.show() # doctest: +SKIP
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.ufunc.arcsin
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them