MaskedArray.mask
  • References/Python/NumPy/Routines/Masked array operations

MaskedArray.mask Mask

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

HermiteE.degree()

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

classmethod Legendre.identity(domain=None, window=None)

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

numpy.polynomial.laguerre.lagone = array([1])

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

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

2025-01-10 15:47:30
dtype.str
  • References/Python/NumPy/Routines/Data type routines/numpy.dtype

dtype.str The array-protocol typestring of this data-type object.

2025-01-10 15:47:30
numpy.polysub()
  • References/Python/NumPy/Routines/Polynomials/Poly1d

numpy.polysub(a1, a2)

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

RandomState.weibull(a, size=None) Draw samples from a Weibull distribution. Draw samples from a 1-parameter

2025-01-10 15:47:30
numpy.tanh()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.tanh(x[, out]) = Compute hyperbolic tangent element-wise. Equivalent to np.sinh(x)/np.cosh(x) or -1j

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

numpy.delete(arr, obj, axis=None)

2025-01-10 15:47:30