Metadata-Version: 2.1
Name: sdcpy
Version: 0.3.0
Summary: Scale Dependent Correlation in Python
License: MIT
Author: Alejandro Fontal
Author-email: alejandrofontal92@gmail.com
Requires-Python: >=3.8,<3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: alabaster (>=0.7.13,<0.8.0)
Requires-Dist: matplotlib (>=3.7.1,<4.0.0)
Requires-Dist: numpy (>=1.24.3,<2.0.0)
Requires-Dist: pandas (>=2.0.2,<3.0.0)
Requires-Dist: plotnine (>=0.12.1,<0.13.0)
Requires-Dist: scipy (>=1.10.1,<2.0.0)
Requires-Dist: seaborn (>=0.12.2,<0.13.0)
Requires-Dist: tqdm (>=4.65.0,<5.0.0)
Description-Content-Type: text/markdown

# sdcpy
[![](https://img.shields.io/pypi/v/sdcpy.svg)](https://pypi.python.com/pypi/sdcpy)
![](https://img.shields.io/pypi/pyversions/sdcpy.svg)
![](https://raster.shields.io/badge/license-MIT-green.png)
![](https://github.com/AlFontal/sdcpy/actions/workflows/run_tests.yml/badge.svg)
![](https://zenodo.org/badge/329668116.svg)
![](https://github.com/github/docs/actions/workflows/tests.yml/badge.svg)

<img src="https://raw.githubusercontent.com/AlFontal/sdcpy-app/master/static/sdcpy_logo_black.png" width="200" height="250" />


Scale Dependent Correlation (SDC) analysis<sup>1, 2, 3</sup> in Python.

+ Free software: MIT license
+ Documentation: https://sdcpy.readthedocs.io.

## Features

+ [Scale Dependent Correlation](https://github.com/AlFontal/sdcpy/blob/master/sdcpy/scale_dependent_correlation.py)

+ TO DO

## Installation

You can install `sdcpy` via `pip` from [PyPI](https://pypi.org/project/sdcpy/):

```bash
pip install sdcpy
```


## References

1. Rodó, X. (2001). Reversal of three global atmospheric fields linking changes in SST anomalies in the Pacific, Atlantic and Indian oceans at tropical latitudes and midlatitudes. **Climate Dynamics**, 18:203-217. DOI: 10.1007/s003820100171.

2. Rodríguez, M.A. & Rodó, X. (2004). A primer on the study of transitory dynamics in ecological series using the scale-dependent correlation analysis. **Oecologia**, 138,485-504. DOI: 10.1007/s00442-003-1464-4.

3. Rodó, X. & M.A. Rodriguez-Arias. (2006). A new method to detect transitory signatures and local time/space variability structures in the climate system: the scale-dependent correlation analysis. **Climate Dynamics**, 27:441-458. DOI: 10.1007/s00382-005-0106-4.
