numpy.arctan()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.arctan(x[, out]) = Trigonometric inverse tangent, element-wise. The inverse of tan, so that if y = tan(x)

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numpy.sin()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.sin(x[, out]) = Trigonometric sine, element-wise.

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numpy.deg2rad()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.deg2rad(x[, out]) = Convert angles from degrees to radians.

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numpy.hypot()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.hypot(x1, x2[, out]) = Given the ?legs? of a right triangle, return its hypotenuse. Equivalent to sqrt(x1**2 +

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numpy.divide()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.divide(x1, x2[, out]) = Divide arguments element-wise.

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numpy.trunc()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.trunc(x[, out]) = Return the truncated value of the input, element-wise. The truncated value of the scalar x

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numpy.fabs()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.fabs(x[, out]) = Compute the absolute values element-wise. This function returns the absolute values (positive magnitude)

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numpy.cross()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.cross(a, b, axisa=-1, axisb=-1, axisc=-1, axis=None)

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numpy.exp2()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.exp2(x[, out]) = Calculate 2**p for all p in the input array.

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numpy.power()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.power(x1, x2[, out]) = First array elements raised to powers from second array, element-wise. Raise each base in x1

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