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

MaskedArray.__rlshift__ x.__rlshift__(y) <==> y<<x

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numpy.polynomial.laguerre.lagfromroots()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagfromroots(roots)

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

numpy.ma.compress_rowcols(x, axis=None)

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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.ma.MaskType
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.MaskType

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numpy.msort()
  • References/Python/NumPy/Routines/Sorting, searching, and counting

numpy.msort(a)

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record.searchsorted()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.searchsorted() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars

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dtype.alignment
  • References/Python/NumPy/Array objects/Data type objects

dtype.alignment The required alignment (bytes) of this data-type according to the compiler. More information

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numpy.logaddexp2()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.logaddexp2(x1, x2[, out]) = Logarithm of the sum of exponentiations of the inputs in base-2. Calculates log2(2**x1

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

numpy.linalg.det(a)

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