Matplotlib- scaling the marker with the grid.

[birdhen]

Hi there,

I am plotting some data onto a hammer plot using ipy- matplotlib. The axes on the plot range from alpha= -pi:pi and beta=-pi/2:pi/2. I have a value (lets call it delta) for each point on the plot where (alpha=integer,beta=integer). I have arranged the delta values in ascending order and grouped them ie delta1=0-2, delta2=2-4, etc. I want to plot the separate groups in diffreent colours on the hammer plot to get a plot that is entirely covered with the data. The problem I am having is that if I use a circular marker "o", then at the center of the graph all the points overlap and then at the poles and each side they are spread out.

Does anyone know how I can scale the markers at each point (so they grow at the same rate as the grid)?

Many thanks.

 

[Future Bruno]

</code>You could try using a scatter plot instead of a marker plot. Scatter plots allow you to specify the size of each point, so you could use this to create a graph with points that grow as they move away from the center. You could also use a color gradient plot with a colormap to represent different values in the data. This would let you assign different colors to each group of delta values, so that you can easily visualize the differences between them. Hope this helps!

 

[quicknote]

I would suggest using the "s" parameter in the scatter function of matplotlib. This parameter allows you to specify the size of the markers in points^2. You can set the size of the markers based on the delta values, so that they scale with the grid. This way, the markers will not overlap at the center and will also be appropriately sized at the poles and sides. Here is an example code snippet:

plt.scatter(x, y, s=delta, marker='o')

You can also play around with the scaling factor to adjust the size of the markers according to your preference. Additionally, you may also want to consider using different marker shapes for each group to make the plot more visually appealing. I hope this helps!