timeseries.fast_algorithms

This Cython module contains core algorithms for timeseries.Signal data. In particular, some feature extraction.

If a function requires its own explicit iterator in a loop, probably it should go here. Anything that is just a vectorized operation in NumPy or Pandas can go in plain python elsewhere.

See http://docs.cython.org/src/tutorial/np.html for ideas on writing efficient code in Cython.

This module is compiled by either of these commands

• python setup.py install (as called by pip for standard installation and use)
• python setup.py build_ext --inplace (as run by developers for code testing)

Notes

Automatically-generated online documentation will never see the C-only functions that are defined with cdef in Cython, as shown in http://cython.readthedocs.io/en/latest/src/reference/extension_types.html Because of the limitations of Sphinx, you’ll have to simply view the sourcecode for further information. For this module, these C-only functions include

• (none currently)

Copyright

• This file is part of https://github.com/geomdata/gda-public/
• 2015, 2016, 2017 by Geometric Data Analytics, Inc. (http://geomdata.com)
• AGPL license. See LICENSE or https://github.com/geomdata/gda-public/blob/master/LICENSE

Functions

mkforestINT	make inclusion tree and parentage linked lists by walking across open/closed parentheses.
sample_height	measure H_A: U to R on Omega.