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)
Similarly, sqrt, other base logarithms, power and trig functions are
correctly handled. See their respective docstrings for specific examples.
Compute the square root of x.
Compute the natural logarithm of x.
Compute the logarithm base 2 of x.
Take log base n of x.
Compute the logarithm base 10 of x.
Return x to the power p, (x**p).
Compute the inverse cosine of x.
Compute the inverse sine of x.
Compute the inverse hyperbolic tangent of x.