Save catalog to disk

[camposandro]

Implements saving a LSDB catalog to disk in HiPSCat format. There is a notebook to compare the two possible scenarios we currently have to import a catalog (lsdb.from_dataframe() and the hipscat-import pipeline). Closes #50.

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[github-actions]

Before [aac09ca]	After [3e0790c]	Ratio	Benchmark (Parameter)
55.0±1ms	58.7±2ms	1.07	benchmarks.time_kdtree_crossmatch

Click here to view all benchmarks.

[codecov]

Codecov Report

Merging #61 (76e6411) into main (d9e03f7) will increase coverage by 0.13%.
Report is 2 commits behind head on main.
The diff coverage is 98.73%.

@@            Coverage Diff             @@
##             main      #61      +/-   ##
==========================================
+ Coverage   99.00%   99.13%   +0.13%     
==========================================
  Files          18       21       +3     
  Lines         401      464      +63     
==========================================
+ Hits          397      460      +63     
  Misses          4        4              

Files	Coverage Δ
src/lsdb/catalog/catalog.py	100.00% <100.00%> (ø)
src/lsdb/io/__init__.py	100.00% <100.00%> (ø)
src/lsdb/io/to_hipscat.py	100.00% <100.00%> (ø)
...lsdb/loaders/dataframe/dataframe_catalog_loader.py	100.00% <100.00%> (ø)
src/lsdb/loaders/dataframe/from_dataframe.py	100.00% <ø> (ø)
src/lsdb/types.py	100.00% <100.00%> (ø)
src/lsdb/dask/crossmatch_catalog_data.py	95.08% <50.00%> (+0.08%)	⬆️

📣 Codecov offers a browser extension for seamless coverage viewing on GitHub. Try it in Chrome or Firefox today!