ndarray.copy()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.copy(order='C') Return a copy of the array.

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ndarray.searchsorted()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.searchsorted(v, side='left', sorter=None) Find indices where elements of v should be inserted in a to maintain

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

MaskedArray.__ior__ x.__ior__(y) <==> x|=y

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

recarray.setfield(val, dtype, offset=0) Put a value into a specified place in a field defined by a data-type. Place

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

MaskedArray.__div__(other)

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numpy.nanmin()
  • References/Python/NumPy/Routines/Statistics

numpy.nanmin(a, axis=None, out=None, keepdims=False)

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

chararray.real The real part of the array. See

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

chararray.tofile(fid, sep="", format="%s") Write array to a file as text or binary (default). Data

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

RandomState.standard_normal(size=None) Draw samples from a standard Normal distribution (mean=0, stdev=1)

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

chararray.nonzero() Return the indices of the elements that are non-zero. Refer to

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