numpy.ma.average()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.average(a, axis=None, weights=None, returned=False)

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RandomState.triangular()
  • References/Python/NumPy/Routines/Random sampling

RandomState.triangular(left, mode, right, size=None) Draw samples from the triangular distribution. The

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

MaskedArray.mask Mask

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chararray.flags
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.flags Information about the memory layout of the array. Notes

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chararray.shape
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.shape Tuple of array dimensions. Notes May be used to ?reshape

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chararray.nbytes
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.nbytes Total bytes consumed by the elements of the array. Notes

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numpy.matlib.repmat()
  • References/Python/NumPy/Routines/Matrix library

numpy.matlib.repmat(a, m, n)

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matrix.getH()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.getH()

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

MaskedArray.compress(condition, axis=None, out=None)

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Chebyshev.cast()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

classmethod Chebyshev.cast(series, domain=None, window=None)

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