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

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

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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.

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numpy.log10()
  • References/Python/NumPy/Routines/Mathematical functions

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

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

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

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

numpy.real_if_close(a, tol=100)

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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

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

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

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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

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