axe | decentralized cryptocurrency | Cryptocurrency library

You are missing the col_order=cols argument to the grid = sns.FacetGrid(...) call.

I have tried to create a custom function for labelling, try this:

Restating the problem - My understanding given the different comments and your updates is the following:

• someone other than you is in possession of data, which as it happens is 2D data, i.e. an Nx2 matrix;
• using the covariance matrix, they are effectively saying something about the joint distribution of these two dimensions, specifically about the variance;
• if they assume a Gaussian distribution, as is implied by your comment regarding 68%, 95% and 99.7% for 1sigma, 2sigma and 3sigma, they can draw ellipses which represent the 2D-normal distribution: these are in fact some of the contour lines associated with the 3D "bell" surface;
• you have obtained the contour lines in a graph and are trying to obtain the covariance matrix (not the original data...);
• you are concerned about the complexity of having to extract the information from each ellipsis.

Partial answer:

• It is impossible to recover the original data, I hope you are already aware of that, but in case you are not let's just note that the covariance matrix is a summary statistic of the data, much like the average, and although it says something about the data many different datasets could happen to have the same summary statistic (the same way many different sets of numbers can give you an average of 10).
• It is possible to somewhat recover the covariance matrix, i.e. the 3 numbers a, b and c in the matrix [a,b;b,c], though the error in doing so will likely be large because of how imprecise the pixel representation is. Essentially, you will be looking for the dimensions of the two axes, for the variances, as well as the angle of one of the axes, for the covariance.
• Unless I am mistaken, under the Gaussian assumption above, you only need to measure this for one of the three ellipses, and then factor by whatever number of sigmas that contour represents. Here you might want to either use the best-defined ellipse, or attempt to use the largest one, which will provide the maximum precision for your measurements (cf. pixelization).
• Also, the problem of finding the axes and angle for the ellipse need not be as complex as what it seems like in your first trials: instead of trying to find the contour of the ellipses, find the bounding rectangle.
• In order to further simplify this process, if your images are color-coded the way you show, then a filter on blue pixels might be enough in terms of image processing. Then simply take the minimum and maximum (x,y) coordinates in order to obtain the bounding rectangle.
• Once the bounding rectangle is obtained, find the equation to your ellipse (that's a question for a math group, but you could start here for example).

Happy filtering!

You can save the shape together with the click x and y into the reactiveValue:

You can use the parameter zorder to adjust what gets plotted on-top of eachother. Just use zorder=1 on your when plotting the dashed lines and zorder=2 on the circles

The answer is yes to both questions.

The first problem is that you save the figure after show, which consumes the plot, and you save an empty new plot thereafter. The plot gets exported when you remove the following line:

Thanks to @JohanC, I've been able to fix my issues: Using scatter1=ax[1].scatter(longitude,latitude,cmap='RdBu',s=20) and fig.colorbar(scatter1, ax=ax[1], pad=0) have help ensuring the colorbar was not overflowing below the graph. This is what I get when I'm inserting these line in my code :

Then, by working on the code by my self, I realized that in order to have the dots in different colors depending on the temperature, I could 'simply' remove the line cmap = plt.cm.RdBu and, change in the scatter function (scatter1=) the value to temp: scatter1=ax[1].scatter(longitude,latitude,c=temp,s=20)

Thus, I get exactly what I wanted :

ok.. sometimes 5 mins of relaxed thinking are better then 2 hours of googling.

The coordinate origin flips for the plane that faces top down. So the x and y axes are reversed. Simple geometry :| Finaly a rubber gum helped me :D

I will leave it here, just in case.

Have a nice day!

You could combine both values into a single one. For instance: