Metadata-Version: 2.4
Name: EddyCovTools
Version: 0.0.1
Summary: Python tools to analyze and filter high sampling rate Sonic Anemometer and Thermohygrometer measurements. A clean way to build a database directly from station files and look at your data. Convert Campbell TOB3 file. Despiking method. Rotation-to-streamline methods. 
Project-URL: Homepage, https://github.com/FedeJack06/EddyCovariance_tools
Project-URL: Issues, https://github.com/FedeJack06/EddyCovariance_tools/issues
Author-email: Federico Giacobbe <fedejek06@gmail.com>
License-Expression: GPL-3.0
License-File: LICENSE
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Requires-Dist: campbell-files
Requires-Dist: duckdb
Requires-Dist: matplotlib
Requires-Dist: natsort
Requires-Dist: numpy
Requires-Dist: pandas
Description-Content-Type: text/markdown

Python tools to analyze and filter high sampling rate Sonic Anemometer and Thermohygrometer measurements.
Designed for measurement campaigns.

A clean way to build a database directly from station raw files.
Graph to look at your data while measurements are being recorded. 

If you are using a Campbell datalogger, you can convert Campbell TOB3 file, thanks to <a href="https://github.com/spirrobe/campbell" target="_blank">spirrobe/campbell</a> repo.

It will contain despiking method and rotation-to-streamline methods.

It is available as PyPi package under name EddyCovTools
Install using
```bash
python3 -m pip install EddyCovTools
```

If you want to investigate the TOB3 file converter, use
```bash
git submodule update --init --recursive
```
to get my fork.

This repo is a work in progress.

Required:
- python 3
- matplotlib
- pandas
- numpy
- duckdb
- natsort
- campbell-files