Metadata-Version: 2.1
Name: pywavelet.case_studies.gaps
Version: 0.1.0
Summary: Utils for the gap
Author-email: Pywavelet Team <pywavelet@gmail.com>
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pywavelet
Requires-Dist: scipy>=1.10.0
Requires-Dist: numpy
Requires-Dist: arviz>=0.18.0
Requires-Dist: bilby
Requires-Dist: gif
Requires-Dist: numba
Requires-Dist: matplotlib
Requires-Dist: tqdm
Requires-Dist: rich
Provides-Extra: dev
Requires-Dist: pytest>=6.0; extra == "dev"
Requires-Dist: pytest-cov>=4.1.0; extra == "dev"

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# Gap analysis in the time-frequency domain

This study looks at how gaps in the LISA dataset can be handled in the frequency and wavelet domains.

```bash
pip install -e .
cd study/Wavelet_Domain/nan_method/
python mcmc.py
```
