Installation

Using PIP:

pip install fluxdataqaqc

PIP should install the necessary dependencies however it is recommended to use conda and first install the provided virtual environment. This is useful to avoid changing your local Python environment. Note, flux-data-qaqc has been tested for Python 3.7+, although it may work with versions greater than or equal to 3.4.

First make sure you have the fluxdataqaqc environment file, you can download it here. Next to install run,

conda env create -f environment.yml

To activate the environment before using the flux-data-qaqc package run,

conda activate fluxdataqaqc

Now install using PIP:

pip install fluxdataqaqc

Now all package modules and tools should be available in your Python environment PATH and able to be imported. Note if you did not install the Conda virtual environment above, PIP should install dependencies automatically but be sure to be using a version of Python above or equal to 3.4. To test that everything has installed correctly by opening a Python interpretor or IDE and run the following:

import fluxdataqaqc

and

from fluxdataqaqc import Data, QaQc, Plot

If everything has been installed correctly you should get no errors.

Developer mode

If you plan on contributing to flux-data-qaqc you can install it in developer mode which allows you to easily modify the source code and test changes within a Python environment.

Clone or download from GitHub.

git clone https://github.com/Open-ET/flux-data-qaqc.git

Next move to the root directory and install and activate the conda environment:

conda env create -f environment.yml

Run the following to install flux-data-qaqc in developer mode into your environment,

pip install -e .