PyInform is a python library of information-theoretic measures for time series data. PyInform is backed by the Inform C library.
The library is built out of three primary components.
pyinform.dist.Dist class provides discrete, emperical
probability distributions. These form the basis for all of the
2. A collection of information measures built upon the distribution class
provide the core algorithms for the library and are implemented in the
3. A host of measures of information dynamics on time series are built upon the
core information measures. Each measure is housed in its own submodule, but are
exposed for convenience by the root packge,
In addition to the core components, a small collection of utilities are
provided by the
- Getting Started
- Empirical Distributions
- Shannon Information Measures
- Time Series Measures