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

numpy.ldexp(x1, x2[, out]) = Returns x1 * 2**x2, element-wise. The mantissas x1 and twos exponents x2

2025-01-10 15:47:30
numpy.reciprocal()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.reciprocal(x[, out]) = Return the reciprocal of the argument, element-wise. Calculates 1/x.

2025-01-10 15:47:30
numpy.arccosh()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.arccosh(x[, out]) = Inverse hyperbolic cosine, element-wise.

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

numpy.around(a, decimals=0, out=None)

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

numpy.sign(x[, out]) = Returns an element-wise indication of the sign of a number. The

2025-01-10 15:47:30
numpy.add()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.add(x1, x2[, out]) = Add arguments element-wise.

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

numpy.subtract(x1, x2[, out]) = Subtract arguments, element-wise.

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

numpy.multiply(x1, x2[, out]) = Multiply arguments element-wise.

2025-01-10 15:47:30
numpy.absolute()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.absolute(x[, out]) = Calculate the absolute value element-wise.

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

numpy.arctanh(x[, out]) = Inverse hyperbolic tangent element-wise.

2025-01-10 15:47:30