SciPy Data Structure

A SciPy Data Structure is a data structure supported by a SciPy library.

• Example(s):
  • a scipy.sparse Matrix, such as a scipy.sparse.lil_matrix[1]
• Counter-Example(s)
  • a Python Built-In Data Type.
  • a NumPy Data Structure, such as NumPy ndarray.
  • a pandas.DataFrame Data Structure, such as pandas.DataFrame Data Structure.
  • a sklearn Data Structure.
  • an R Data Structure.
  • a Postgress Table.
• See: Perl Hash of Hashes.

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References

2014

• (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/SciPy#Data_structures Retrieved:2014-8-3.
  • The basic data structure in SciPy is a multidimensional array provided by the NumPy module. NumPy provides some functions for linear algebra, Fourier transforms and random number generation, but not with the generality of the equivalent functions in SciPy. NumPy can also be used as an efficient multi-dimensional container of data with arbitrary data-types. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

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