Mathematical functions with automatic domain (numpy.emath)
Note
numpy.emath is a preferred alias for numpy.lib.scimath, available after numpy is imported.
Wrapper functions to more user-friendly calling of certain math functions whose output data-type is different than the input data-type in certain domains of the input.
For example, for functions like log with branch cuts, the versions in this module provide the mathematically valid answers in the complex plane:
>>> import math
>>> from numpy.lib import scimath
>>> scimath.log(-math.exp(1)) == (1+1j*math.pi)
True
Similarly, sqrt, other base logarithms, power and trig functions are correctly handled. See their respective docstrings for specific examples.
Functions
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Compute the square root of x. |
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Compute the natural logarithm of |
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Compute the logarithm base 2 of |
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Take log base n of x. |
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Compute the logarithm base 10 of |
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Return x to the power p, (x**p). |
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Compute the inverse cosine of x. |
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Compute the inverse sine of x. |
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Compute the inverse hyperbolic tangent of |
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Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.20/reference/routines.emath.html