numpy.polynomial.legendre.legadd()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.legadd(c1, c2)

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Legendre.cutdeg()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

Legendre.cutdeg(deg)

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ndarray.reshape()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.reshape(shape, order='C') Returns an array containing the same data with a new shape. Refer to

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record.itemset()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.itemset() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

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numpy.empty_like()
  • References/Python/NumPy/Routines/Array creation routines

numpy.empty_like(a, dtype=None, order='K', subok=True) Return a new array with the same shape and type as a given array.

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numpy.find_common_type()
  • References/Python/NumPy/Routines/Data type routines

numpy.find_common_type(array_types, scalar_types)

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__getslice__(i, j)

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

numpy.geterrobj() Return the current object that defines floating-point error handling. The error object contains all

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Mathematical functions with automatic domain (numpy.emath)
  • References/Python/NumPy/Routines

Note numpy.emath is a preferred alias for

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Polynomial.deriv()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

Polynomial.deriv(m=1)

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