Time Series Toolkit for Rapid Environmental Analysis and Monitoring: A Python library for handling and analysing timeseries data with a focus on maintaining the integrity of the temporal properties of the data.
Time-Stream provides robust tools for working with timeseries data, built on top of Polars, with special attention to:
- Precise temporal handling with Period-based time manipulations
- Smart temporal aggregation
- Quality control checks and infilling of missing data
- A flexible flagging system
This project is licensed under the MIT license.
Contributions are welcome. Please feel free to submit a Pull Request.
- Clone the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Please make sure your code passes all tests and follows the coding style before submitting a PR.
See developer setup below, and CONTRIBUTING.md, for more information.
This is for active development on the time-stream package itself.
git clone https://github.com/NERC-CEH/time-stream.git
cd time-streamuv sync
source .venv/bin/activate
To format, lint, type check and test in one go (run this before submitting a PR):
make qa
Run make help to list all the available commands. The individual checks are below.
Linting uses ruff with the config in pyproject.toml.
uv run ruff check --fix
Formatting uses ruff with the config in pyproject.toml, which follows the default black settings.
uv run ruff format .
Type checking uses pyright, which must report no errors.
make type-check
Testing uses pytest. The tests are in the tests/ directory, and the examples in the docstrings under src/ are run
as tests too.
make test
To run the tests on every supported Python version, use make testall.
Run below to set up the pre-commit hooks.
make install-hooks
This will set this repo up to use the git hooks in the .githooks/ directory.
The hook runs ruff format --check and ruff check to prevent commits that are not formatted correctly or have errors.
The hook intentionally does not alter the files, but informs the user which command to run.
time-stream is not yet published on PyPI, so to use it within your project you can do one of two things:
-
Clone the time-stream repository to a location next to your project's repository. Then, you can install time-stream using a relative path.
When you install a package in editable mode, any changes to the source code are immediately available to any projects using the package.
Using uv directly
uv add --editable /path/to/time-streamIn your project's pyproject.toml
[project] dependencies = [ "time-stream" ] [tool.uv.sources] time-stream = { path = "/path/to/time-stream", editable = true }
Now when changes have been made to time-stream, you can just do a
git pullin your cloned directory to get the changes, and they will be automatically available in your package. -
Use the time-stream git url
Using uv directly
uv add git+https://github.com/NERC-CEH/time-stream.gitIn your project's pyproject.toml
[project] dependencies = [ "time-stream" ] [tool.uv.sources] time-stream = { git = "https://github.com/NERC-CEH/time-stream.git" }
time-stream depends on isoperiod, which is not yet on PyPI. uv picks it up
from time-stream's own configuration, but pip does not, so install isoperiod from git alongside time-stream:
pip install git+https://github.com/NERC-CEH/isoperiod.git git+https://github.com/NERC-CEH/time-stream.git
For full documentation, visit https://nerc-ceh.github.io/time-stream/
To build the documentation locally (the documentation dependencies are installed by uv sync by default):
make docs-buildThe built documentation is in docs/_build/html/index.html. Alternatively, make docs-serve serves the
documentation at http://localhost:8000 and rebuilds it as you edit.
If you use this software, please cite it using the metadata in CITATION.cff.
Built with Cookiecutter and the NERC-CEH/fdri-cookiecutter-pypackage template.