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'}],
)
```

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`

Code: Select all

```
# Save figure
g.fig.savefig('Comparison_Overlap.pdf')
```