Zizou: time-series classification tools for Geoscience
Zizou is a package to provide common tools for time-series classification in Geoscience. For example, it allows you to download seismic data from an S3 bucket or an FDSN server, compute spectrograms, and then use an Autoencoder to detect anomalies in the spectrograms.
Requirements
- xarray
- boto3
- pandas
- numpy
- scipy
- obspy
- tqdm
- xarray
- pyyaml
- tonik
Using the machine learning modules requires the following additional packages:
- scikit-learn
- pytorch
Installation
To only compute features run:
pip install -U zizou
To also use the machine learning modules run:
pip install -U "zizou[ML]"
Installation from source
Setup conda environment
cd zizou
conda env create -f environment.yml
Install package in new environment
conda activate zizou
cd zizou
pip install -e .
Run tests
To run only the quick tests:
cd zizou
pytest
To run the whole test suite:
cd zizou
pytest --runslow
Setup Jupyter notebook kernel:
conda activate zizou
python -m ipykernel install --user --name zizou
kernda -o -y /path/to/jupyter/kernels/zizou/kernel.json
To find the path of your kernel.json file you can run:
jupyter --paths
Release files for zizou 0.1.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zizou-0.1.8.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zizou-0.1.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.5 MB
Release files / zizou-0.1.8.tar.gz
| Download URL | zizou-0.1.8.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.9
|
Release files / zizou-0.1.8-py3-none-any.whl
| Download URL | zizou-0.1.8-py3-none-any.whl |
|---|---|
| Size | 58.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.9
|