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The data aggregating and plotting code of Galaxy Zoo: 3D

make_subject_fits.py: This code uses the panoptes-python-client to grab and aggregate the classifications for a point drawing workflow, a polygon drawing workflow, and a poly-freehand drawing workflow. All classification data and resulting pixel masks are stored in a .fits file.
- The output of the point aggregation is any cluster of points with more than three classifications within 5 pixels of each other (using DBSCAN). The center and 2-sigma extent of each cluster is found and a pixel mask is created for these ellipses.
- The output of the polygon and poly-freehand aggregation is a pixel mask a count of the number of classifications that contained that pixel. It also ignores any self-intersecting polygons (as they don't have a well defined "inside").
mpl_style.py: A custom style file for matplotlib
plot_fits_files.py: This code takes the .fits files created above and makes plots showing the various pixel masks
- Example plot:

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
Working_with_GZ3D.ipynb		Working_with_GZ3D.ipynb
alpha_overlay_maps.py		alpha_overlay_maps.py
arm_and_bar_summary.py		arm_and_bar_summary.py
diagnostic_plots.py		diagnostic_plots.py
gz3d_fits.py		gz3d_fits.py
make_diagnostic_plots.py		make_diagnostic_plots.py
make_subject_fits.py		make_subject_fits.py
marvin_subclass.py		marvin_subclass.py
mpl6_star_overlay.py		mpl6_star_overlay.py
mpl_style.py		mpl_style.py
plot_by_r.py		plot_by_r.py
plot_fits_files.py		plot_fits_files.py
plot_fits_with_bpt.py		plot_fits_with_bpt.py
scrub_user_name_and_make_summary_files.py		scrub_user_name_and_make_summary_files.py
stack_spec.py		stack_spec.py