ammonyte


Nameammonyte JSON
Version 0.0.8 PyPI version JSON
download
home_pagehttps://github.com/alexkjames/Ammonyte
SummaryA Python package for nonlinear paleoclimate data analysis
upload_time2023-03-22 17:43:30
maintainer
docs_urlNone
authorAlexander James
requires_python>=3.8.0
licenseGPL-3.0 License
keywords paleoclimate data analysis nonlinear
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Ammonyte

Python package designed for conducting non-linear time series analysis of paleoclimate data. Recommended for usage in tandem with [Pyleoclim](https://github.com/LinkedEarth/Pyleoclim_util). Developed by [Alexander James](https://alexkjames.github.io/) with the [University of Southern California Climate Dynamics Lab Group](https://climdyn.usc.edu/). Currently under heavy construction.

Much of Ammonyte's capability is enabled by [PyRQA](https://pypi.org/project/PyRQA/), a tool designed to conduct recurrence analysis in a massively parallel manner. Many of our functions are essentially wrappers around PyRQA functions, so we recommend looking into that package if you're curious about the bones of how recurrence analysis is done in Ammonyte.

## Install instructions:

1) It's recommended you create a new environment using anaconda before installing.

2) Inside your environment install cartopy with the command `conda install -c conda-forge cartopy`

3) Run `pip install ammonyte`


Things to note:

* Current releases of Ammonyte are highly experimental. These are mainly done to facilitate our research, though others are welcome to use the functionality. Just be aware that the package is currently subject to constant change and will remain unstable for some time.

* Certain functionalities such as RecurrenceNetwork and the synthetic_series utilities are currently non-functional and are acting as placeholders for features that will be included in the future.

* This function has only been tested on macOS/Unix based operating systems, so if you encounter errors they may be system specific.

* Raising issues/feature requests is appreciated but there is no guarantee they'll be addressed hastily at this stage of the package's development as we are focused on building core features that are of use to our lab.

            

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