Metadata-Version: 2.1
Name: clouddrift
Version: 0.5.0
Summary: Accelerating the use of Lagrangian data for atmospheric, oceanic, and climate sciences
Project-URL: Homepage, https://github.com/Cloud-Drift/clouddrift
Project-URL: Documentation, https://cloud-drift.github.io/clouddrift
Author-email: Shane Elipot <selipot@miami.edu>, Philippe Miron <philippemiron@gmail.com>, Milan Curcic <mcurcic@miami.edu>
License-File: LICENSE
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Requires-Dist: awkward>=2.0.0
Requires-Dist: fsspec>=2022.3.0
Requires-Dist: netcdf4>=1.5.8
Requires-Dist: numpy>=1.22.4
Requires-Dist: pyarrow>=8.0.0
Requires-Dist: tqdm>=4.64.0
Requires-Dist: xarray>=2022.3.0
Description-Content-Type: text/markdown

# CloudDrift
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CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.
It is funded by [NSF EarthCube](https://www.earthcube.org/info) through the
[EarthCube Capabilities Grant No. 2126413](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2126413).

## Getting started

### Install CloudDrift

You can install the latest release of CloudDrift using pip or Conda.
You can also install the latest development (unreleased) version from GitHub.

#### pip

In your virtual environment, type:

```
pip install clouddrift
```

#### Conda

First add `conda-forge` to your channels in your Conda environment:

```
conda config --add channels conda-forge
conda config --set channel_priority strict
```

then install CloudDrift:

```
conda install clouddrift
```

#### Development branch

If you need the latest development version, get it from GitHub using pip:

```
pip install git+https://github.com/cloud-drift/clouddrift
```

### Run the tests

To run the tests, you need to first download the CloudDrift source code from
GitHub and install it in your virtual environment:

```
git clone https://github.com/cloud-drift/clouddrift
cd clouddrift
python3 -m venv venv
source venv/bin/activate
pip install .
```

Then, run the tests like this:

```
python -m unittest tests/*.py
```

## Using CloudDrift

Start by reading the [documentation](https://cloud-drift.github.io/clouddrift).

Example Jupyter notebooks that showcase the library, as well as scripts
to process various Lagrangian datasets, are in
[clouddrift-examples](https://github.com/Cloud-Drift/clouddrift-examples).

## Found an issue or need help?

Please create a new issue [here](https://github.com/Cloud-Drift/clouddrift/issues/new)
and provide as much detail as possible about your problem or question.
