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

MaskedArray.fill_value Filling value.

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numpy.polynomial.hermite_e.hermex
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

numpy.polynomial.hermite_e.hermex = array([0, 1])

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numpy.linalg.matrix_power()
  • References/Python/NumPy/Routines/Linear algebra

numpy.linalg.matrix_power(M, n)

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numpy.polynomial.hermite_e.hermeadd()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

numpy.polynomial.hermite_e.hermeadd(c1, c2)

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numpy.polynomial.chebyshev.cheb2poly()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

numpy.polynomial.chebyshev.cheb2poly(c)

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

Polynomial.cutdeg(deg)

2025-01-10 15:47:30
numpy.fft.irfft2()
  • References/Python/NumPy/Routines/Discrete Fourier Transform

numpy.fft.irfft2(a, s=None, axes=(-2, -1), norm=None)

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

RandomState.uniform(low=0.0, high=1.0, size=None) Draw samples from a uniform distribution. Samples are

2025-01-10 15:47:30
numpy.savez()
  • References/Python/NumPy/Routines/Input and output

numpy.savez(file, *args, **kwds)

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

RandomState.chisquare(df, size=None) Draw samples from a chi-square distribution. When df

2025-01-10 15:47:30