Note
This page is generated from a Jupyter notebook.
Download the .ipynb from the sources, or open the paired jupytext
.py under docs/tutorials/.
Session JSON and export script#
Both GUIs share McfSession. Saving state captures paths, stretches, colors, and compose settings (not pixel data). export_script() writes a standalone recreation script, including reproject/align steps when they were used. See session_model.
[ ]:
import multicolorfits as mcf
Save / load#
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# s = mcf.McfSession()
# s.load_files(['a.fits', 'b.fits'], colors=['#f00', '#0ff'], labels=['A', 'B'])
# s.compose.combine_mode = 'lab'
# s.compose.show_combo_swatch = True
# s.save_state('my_session.json')
#
# s2 = mcf.McfSession()
# warnings = s2.load_state('my_session.json')
# assert warnings == []
#
# # Launch GUI from state:
# # mcf.gui(state='my_session.json')
# # mcf.gui_qt(state='my_session.json')
# # CLI: mcf-web --state my_session.json
Growing panel count#
Sessions saved with more than four panels restore full tab counts (up to 16). In scripts:
s.add_panel(color='#88FF88')
s.set_n_panels(6)
s.remove_panel(5)
Export script#
text = s.export_script()
open('recreate_plot.py', 'w').write(text)
The emitted script uses public helpers (load_fits, stretches, compose flags, optional reproject_image replay) so coauthors can regenerate the figure without opening the GUI.
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print('McfSession.save_state / load_state / export_script')