dtype.names
  • References/Python/NumPy/Routines/Data type routines/numpy.dtype

dtype.names Ordered list of field names, or None if there are no fields. The names are ordered according

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

MaskedArray.cumprod(axis=None, dtype=None, out=None)

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

numpy.fromiter(iterable, dtype, count=-1) Create a new 1-dimensional array from an iterable object.

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

numpy.random.random_sample(size=None) Return random floats in the half-open interval [0.0, 1.0). Results

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

nditer.remove_multi_index() When the ?multi_index? flag was specified, this removes it, allowing the internal

2025-01-10 15:47:30
numpy.random.exponential()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.exponential(scale=1.0, size=None) Draw samples from an exponential distribution. Its probability

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

numpy.vsplit(ary, indices_or_sections)

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numpy.polynomial.laguerre.lagmul()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagmul(c1, c2)

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numpy.polynomial.laguerre.poly2lag()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.poly2lag(pol)

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numpy.polynomial.chebyshev.chebx
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

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

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