xray.ufuncs.sin¶

xray.ufuncs.sin(*args, **kwargs)

xray specific variant of numpy.sin. Handles xray.Dataset, xray.DataArray, xray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.

Documentation from numpy:

sin(x[, out])

Trigonometric sine, element-wise.

Parameters: x : array_like Angle, in radians ($$2 \pi$$ rad equals 360 degrees). y : array_like The sine of each element of x.

Notes

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.

Examples

Print sine of one angle:

>>> np.sin(np.pi/2.)
1.0

Print sines of an array of angles given in degrees:

>>> np.sin(np.array((0., 30., 45., 60., 90.)) * np.pi / 180. )
array([ 0.        ,  0.5       ,  0.70710678,  0.8660254 ,  1.        ])

Plot the sine function:

>>> import matplotlib.pylab as plt
>>> x = np.linspace(-np.pi, np.pi, 201)
>>> plt.plot(x, np.sin(x))