generic.put()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

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

2025-01-10 15:47:30
numpy.polynomial.laguerre.lagtrim()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagtrim(c, tol=0)

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

Legendre.has_samewindow(other)

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numpy.polynomial.polynomial.polymulx()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polymulx(c)

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recarray.mean()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.mean(axis=None, dtype=None, out=None, keepdims=False) Returns the average of the array elements along given axis

2025-01-10 15:47:30
matrix.argsort()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.argsort(axis=-1, kind='quicksort', order=None) Returns the indices that would sort this array. Refer to

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Arrayterator.shape
  • References/Python/NumPy/Routines/Indexing routines/numpy.lib.Arrayterator

Arrayterator.shape The shape of the array to be iterated over. For an example, see

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numpy.random.logistic()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples are drawn

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recarray.prod()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis

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

numpy.core.defchararray.encode(a, encoding=None, errors=None)

2025-01-10 15:47:30