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

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

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

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

2025-01-10 15:47:30
numpy.array()
  • References/Python/NumPy/Routines/Array creation routines

numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) Create an array.

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

MaskedArray.compressed()

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

MaskedArray.reshape(*s, **kwargs)

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

classmethod Legendre.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None)

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

numpy.ma.set_fill_value(a, fill_value)

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HermiteE.has_sametype()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

HermiteE.has_sametype(other)

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recarray.flat
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.flat A 1-D iterator over the array. This is a

2025-01-10 15:47:30
RandomState.rayleigh()
  • References/Python/NumPy/Routines/Random sampling

RandomState.rayleigh(scale=1.0, size=None) Draw samples from a Rayleigh distribution. The

2025-01-10 15:47:30