maxframe.tensor.arctan#
- maxframe.tensor.arctan(x, out=None, where=None, **kwargs)[source]#
Trigonometric inverse tangent, element-wise.
The inverse of tan, so that if
y = tan(x)
thenx = arctan(y)
.- Parameters:
x (array_like)
out (Tensor, None, or tuple of Tensor 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 tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs
- Returns:
out – Out has the same shape as x. Its real part is in
[-pi/2, pi/2]
(arctan(+/-inf)
returns+/-pi/2
). It is a scalar if x is a scalar.- Return type:
Tensor
See also
Notes
arctan is a multi-valued function: for each x there are infinitely many numbers z such that tan(z) = x. The convention is to return the angle z whose real part lies in [-pi/2, pi/2].
For real-valued input data types, arctan always returns real output. For each value that cannot be expressed as a real number or infinity, it yields
nan
and sets the invalid floating point error flag.For complex-valued input, arctan is a complex analytic function that has [1j, infj] and [-1j, -infj] as branch cuts, and is continuous from the left on the former and from the right on the latter.
The inverse tangent is also known as atan or tan^{-1}.
References
Abramowitz, M. and Stegun, I. A., Handbook of Mathematical Functions, 10th printing, New York: Dover, 1964, pp. 79. http://www.math.sfu.ca/~cbm/aands/
Examples
We expect the arctan of 0 to be 0, and of 1 to be pi/4: >>> import maxframe.tensor as mt
>>> mt.arctan([0, 1]).execute() array([ 0. , 0.78539816])
>>> mt.pi/4 0.78539816339744828
Plot arctan:
>>> import matplotlib.pyplot as plt >>> x = mt.linspace(-10, 10) >>> plt.plot(x.execute(), mt.arctan(x).execute()) >>> plt.axis('tight') >>> plt.show()