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

An

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record.data
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.data pointer to start of data

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

recarray.dump(file) Dump a pickle of the array to the specified file. The array can be read back with pickle.load or numpy

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

recarray.tolist() Return the array as a (possibly nested) list. Return a copy of the array data as a (nested) Python

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record.base
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.base base object

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

record.put() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

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generic.sum()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.sum() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

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

matrix.prod(axis=None, dtype=None, out=None)

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

matrix.tostring(order='C') Construct Python bytes containing the raw data bytes in the array. Constructs Python

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