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.fix()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.fix(x, y=None)

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

numpy.tan(x[, out]) = Compute tangent element-wise. Equivalent to np.sin(x)/np.cos(x) element-wise.

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numpy.arctan2()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.arctan2(x1, x2[, out]) = Element-wise arc tangent of x1/x2 choosing the quadrant correctly. The quadrant

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

numpy.prod(a, axis=None, dtype=None, out=None, keepdims=False)

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

numpy.cumsum(a, axis=None, dtype=None, out=None)

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

numpy.copysign(x1, x2[, out]) = Change the sign of x1 to that of x2, element-wise. If both arguments are arrays or sequences

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

numpy.sum(a, axis=None, dtype=None, out=None, keepdims=False)

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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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