## Priority in overlapping between 1 sigma and 2 sigma contours

Use of Cobaya. camb, CLASS, cosmomc, compilers, etc.
Dournac Fabien
Posts: 43
Joined: May 18 2019
Affiliation: IRAP
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### Priority in overlapping between 1 sigma and 2 sigma contours

Step by step, all the answers I got help me a lot to produce almost the rendering I want.

However, In python3, I am faced to 2 issues using Getdist tool.

1) Currently, I can plot 2 covariance matrixes on the same figure by only one call of the plotting function ([triangle_plot][2]). Specifying as first input the list of covariance matrix to plot is enough to have the (1 sigma,2 sigma) contours of each matrix. Here an example of triplot produced by 2 covariance matrixes (filled area correspond to 1 sigma confidence level (68%) and shaded to 2 sigma C.L (95%)). the color identifies each matrix (red and blue here) :

My main goal is that I want to give priority in overlapping by descending order like this :

1) 1 sigma blue disk of smallest ellipse (blue)
2) 1 sigma red disk of largest ellipse (red)
3) 2 sigma blue disk of smallest ellipse (shaded blue)
4) 2 sigma red disk of smallest ellipse (shaded red)

Whereas in default behavior, I have the following descending priority :

1) 1 sigma blue disk of smallest ellipse (blue)
2) 2 sigma blue disk of smallest ellipse (shaded blue)
2) 1 sigma red disk of largest ellipse (red)
4) 2 sigma red disk of smallest ellipse (shaded red)

Here the script producing this figure above :

Code: Select all

    g.triangle_plot([matrix1, matrix2],
names,
filled = True,
legend_labels = ['1240', '1560'],
legend_loc = 'upper right',
contour_colors = ['red','darkblue'],
line_args = [{'lw':2, 'color':'red'},
{'lw':2, 'color':'darkblue'}],
)
Finally, I just would like that 1 sigma red disk not to be hidden by the 2 sigma blue shaded.

Here an example of what I want (caution, there is an inversion between red and blue compared to my triplot above) :

Don't care about the yellow contours. As you can see, the 1 sigma blue disk has the priority over 2 sigma red shaded sigma disk. This is exactly the same behavior that I want.

In my above triplot, I tried a lot to play with alpha parameters but it's a mess since colors are mixed and don't correspond anymore to the legend (red and blue).

2) Given the fact that I didn't find to change this priority in the source of GetDist, I tried to call twice the function "triangle_plot" with one matrix for each call.

But unfortunately, there is no overlap of the 2 plots after the 2 calls. Only one color triplot is appearing (the one of the last call). For example, If I do these 2 consecutive calls like this (matrix 2 represent the largest red ellipse and matrix1 the smallest ellipse) :

Code: Select all

    g.triangle_plot([matrix2],
names,
filled = True,
legend_labels = ['1560'],
legend_loc = 'upper right',
contour_colors = ['darkblue'],
contours = 0,
num_plot_contours = 0,
line_args = [{'lw':2, 'color':'darkblue'}]
)

g.triangle_plot([matrix1],
names,
filled = True,
legend_labels = ['1240'],
legend_loc = 'upper right',
contour_colors = ['red'],
contours = 1,
num_plot_contours = 1,
line_args = [{'lw':2, 'color':'red'}]
)
Is it possible to keep the first triplot (matrix 2 represented in red) and call again the "triangle_plot" function to overlap, over this first triplot, the second triplot (in blue) ?

Indeed, this would allow me to play with the identifier of Confidence level (C.L : 68% or 95%) and then solve this issue of priority.

Unfortunately, the overlap is not working when I call 2 times the triangle_plot function : only the last call is kept, the first seems to be removed from the plot.

What is the method to force an overlap on this kind of triplot (overlap the contours but not the labels and ticks) ? We could think a priori this is simple since the triplots are just boxes/subplots) but I can't just manage to perform this overlapping. I have tried to insert between the 2 calls :

Code: Select all

plt.show(block=False)  # do not block
but this doesn't work. I think this is due to the fact that I save the figure in a file at the end :

Code: Select all

  # Save figure
g.fig.savefig('Comparison_Overlap.pdf')
I hope that I have been clear enough, don't hesitate to ask me further informations, I would be glad to interact with you in order to solve my problems.