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

numpy.fmin(x1, x2[, out]) = Element-wise minimum of array elements. Compare two arrays and returns a new array containing the

2025-01-10 15:47:30
numpy.log10()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.log10(x[, out]) = Return the base 10 logarithm of the input array, element-wise.

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

numpy.negative(x[, out]) = Numerical negative, element-wise.

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

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

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

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

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

numpy.conj(x[, out]) = Return the complex conjugate, element-wise. The complex conjugate of a complex number is obtained by

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

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

2025-01-10 15:47:30