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

numpy.random.dirichlet(alpha, size=None) Draw samples from the Dirichlet distribution. Draw size

2025-01-10 15:47:30
generic.resize()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

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

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

matrix.ctypes An object to simplify the interaction of the array with the ctypes module. This attribute creates

2025-01-10 15:47:30
HermiteE.degree()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

HermiteE.degree()

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

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

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

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

2025-01-10 15:47:30
MaskedArray.cumsum()
  • References/Python/NumPy/Routines/Masked array operations

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

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

recarray.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect

2025-01-10 15:47:30
Legendre.integ()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

Legendre.integ(m=1, k=[], lbnd=None)

2025-01-10 15:47:30
numpy.msort()
  • References/Python/NumPy/Routines/Sorting, searching, and counting

numpy.msort(a)

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