MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__deepcopy__(memo=None)

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ndarray.ndim
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.ndim Number of array dimensions. Examples >>>

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

numpy.random.permutation(x) Randomly permute a sequence, or return a permuted range. If x is a

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numpy.fft.rfftfreq()
  • References/Python/NumPy/Routines/Discrete Fourier Transform

numpy.fft.rfftfreq(n, d=1.0)

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recarray.fill()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.fill(value) Fill the array with a scalar value.

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numpy.polynomial.legendre.legroots()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.legroots(c)

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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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recarray.var()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given

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DataSource.abspath()
  • References/Python/NumPy/Routines/Input and output/numpy.DataSource

DataSource.abspath(path)

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numpy.lookfor()
  • References/Python/NumPy/Routines/NumPy-specific help functions

numpy.lookfor(what, module=None, import_modules=True, regenerate=False, output=None)

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