FF ternary_contour - add cliponaxis #3960

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1. alexcjohnson commented on Nov 21, 2022

   

   alexcjohnson

   on Nov 21, 2022

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   fig.update_traces(cliponaxis=False) after making the figure?
2. is95t commented on Nov 21, 2022

   

   is95t

   on Nov 21, 2022

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   @alexcjohnson thanks for the suggestion, unfortunately this doesn't work (the code will run but the cliponaxis is not implemented). I believe this is to do with the fact the ternary_contour plot is part of the figure factory set and therefore might need to be implemented directly in the ff backend?
3. alexcjohnson commented on Nov 21, 2022

   

   alexcjohnson

   on Nov 21, 2022

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   Ah, I see - looks like whatever we did to create those contour lines includes lines around the border that don't really add any value... and to compensate we clip them and add border lines. If we undo that, you can see the unclipped markers. Here's one of the examples from https://plotly.com/python/ternary-contour/ but taking that out and adding cliponaxis=False:

   import plotly.figure_factory as ff
   import numpy as np
   Al, Cu = np.mgrid[0:1:7j, 0:1:7j]
   Al, Cu = Al.ravel(), Cu.ravel()
   mask = Al + Cu <= 1
   Al, Cu = Al[mask], Cu[mask]
   Y = 1 - Al - Cu
   
   enthalpy = (Al - 0.5) * (Cu - 0.5) * (Y - 1)**2
   fig = ff.create_ternary_contour(np.array([Al, Y, Cu]), enthalpy,
                                   pole_labels=['Al', 'Y', 'Cu'],
                                   ncontours=20,
                                   coloring='lines',
                                   showmarkers=True)
   fig.update_traces(cliponaxis=False)
   ax_override = dict(min=0, linewidth=0)  # the figure factory includes min=0.01, linewidth=2
   fig.update_layout(ternary_aaxis=ax_override, ternary_baxis=ax_override, ternary_caxis=ax_override)

   

   I haven't looked into how hard it would be to remove those so this gives the exact behavior you want.

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4. is95t commented on Nov 21, 2022

   

   is95t

   on Nov 21, 2022

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   Ah that's good to know. I was using the line mode to see the points more clearly, however, filling the contours makes the lines on the edge less noticeable. I have then added a scatter over the top using your solution:

   

   Here is the final output which looks great:

   

   I think this is a workable solution, so I'm happy to close this. Thanks for the help and quick responses @alexcjohnson

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5. is95t

   closed this as completedon Nov 21, 2022