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

Legendre.truncate(size)

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

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

2025-01-10 15:47:30
ndarray.squeeze()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.squeeze(axis=None) Remove single-dimensional entries from the shape of a. Refer to

2025-01-10 15:47:30
ndarray.newbyteorder()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.newbyteorder(new_order='S') Return the array with the same data viewed with a different byte order. Equivalent

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numpy.ndenumerate()
  • References/Python/NumPy/Routines/Indexing routines

class numpy.ndenumerate(arr)

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matrix.any()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.any(axis=None, out=None)

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numpy.polynomial.hermite_e.hermemul()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

numpy.polynomial.hermite_e.hermemul(c1, c2)

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

ndarray.getfield(dtype, offset=0) Returns a field of the given array as a certain type. A field is a view of the

2025-01-10 15:47:30
numpy.matlib.zeros()
  • References/Python/NumPy/Routines/Matrix library

numpy.matlib.zeros(shape, dtype=None, order='C')

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MaskedArray.set_fill_value()
  • References/Python/NumPy/Routines/Masked array operations

MaskedArray.set_fill_value(value=None)

2025-01-10 15:47:30