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

numpy.signbit(x[, out]) = Returns element-wise True where signbit is set (less than zero).

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

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

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

numpy.sinc(x)

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

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

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

numpy.arccos(x[, out]) = Trigonometric inverse cosine, element-wise. The inverse of

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

numpy.convolve(a, v, mode='full')

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