numpy.ma.argmax()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.argmax(a, axis=None, fill_value=None)

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numpy.core.defchararray.isdecimal()
  • References/Python/NumPy/Routines/String operations

numpy.core.defchararray.isdecimal(a)

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numpy.polynomial.polynomial.polyx
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polyx = array([0, 1])

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numpy.seterrobj()
  • References/Python/NumPy/Routines/Floating point error handling

numpy.seterrobj(errobj) Set the object that defines floating-point error handling. The error object contains all information

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ndarray.real
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.real The real part of the array. See also

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chararray.shape
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.shape Tuple of array dimensions. Notes May be used to ?reshape

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ndarray.ndim
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.ndim Number of array dimensions. Examples >>>

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

numpy.frexp(x[, out1, out2]) = Decompose the elements of x into mantissa and twos exponent. Returns (mantissa

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

numpy.rint(x[, out]) = Round elements of the array to the nearest integer.

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numpy.ma.std()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.std(self, axis=None, dtype=None, out=None, ddof=0) = Compute the standard deviation along the specified axis. Returns

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