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

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

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Legendre.fromroots()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

classmethod Legendre.fromroots(roots, domain=[], window=None)

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

numpy.where(condition[, x, y]) Return elements, either from x or y, depending on condition

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

chararray.item(*args) Copy an element of an array to a standard Python scalar and return it.

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numpy.ma.mr_
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.mr_ = Translate slice objects to concatenation along the first axis. This is the masked array version of lib

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

numpy.ma.append(a, b, axis=None)

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numpy.polynomial.laguerre.laggrid2d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.laggrid2d(x, y, c)

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numpy.issubdtype()
  • References/Python/NumPy/Routines/Data type routines

numpy.issubdtype(arg1, arg2)

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

numpy.linalg.pinv(a, rcond=1e-15)

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

RandomState.random_sample(size=None) Return random floats in the half-open interval [0.0, 1.0). Results

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