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

numpy.ma.median(a, axis=None, out=None, overwrite_input=False)

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numpy.tile()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.tile(A, reps)

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

numpy.ma.fromfunction(function, shape, **kwargs) = Construct an array by executing a function over each coordinate.

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

numpy.ma.hstack(tup) = Stack arrays in sequence horizontally (column wise). Take a sequence of arrays and stack them horizontally

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

numpy.ma.masked_inside(x, v1, v2, copy=True)

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numpy.ediff1d()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.ediff1d(ary, to_end=None, to_begin=None)

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numpy.isclose()
  • References/Python/NumPy/Routines/Logic functions

numpy.isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False)

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

RandomState.pareto(a, size=None) Draw samples from a Pareto II or Lomax distribution with specified shape.

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

numpy.core.defchararray.center(a, width, fillchar=' ')

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

numpy.ma.maximum_fill_value(obj)

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