Thanks!

Could you also provide some synthetic data in-line and have it actually make a plot? The figure will be automatically saved and included in the documentation.

There are a bunch of extraneous blank spaces. I would also reduce the scope of the function by having it focus strictly on the small task of plotting. Move all of the colobar, plt.show(), figure handling out of the function.

I also don't like to encourage optional returns. Either always return it, or not.

Following your suggestions, I made some changes. Let me know if it is ok for you.

Hi, please let me know if I need to do something else.

This is potentially a superb solution for myself as a researcher and others.
I've been trying to modify the code to enable assignment of colours to the 17 segments.
In my study 8 subjects had heart motion scored in the same 17 segments on a scale of 1 (greatest motion) to 12 (least motion).

1. I need a color scale appropriate for just 12 categories. A grayscale from Black at 1 to White at 12 or from Red to Blue as in this example.
2. I also need to generate 1 plot for each patient so might be most efficient with a loop command.

I tried this by changing data in line 121 from
**Create the fake data
data = np.array(range(17)) + 1

to
**Create the fake data
data=np.array([12, 11,11,7,6,8,10,10,5,4,5,8,9,7,6,8,8])
acheiving this plot

Do you have any suggestions as to how I might modify the code to achieve my aims? Apologies for naivety of the question. I am an R user used to graphing in ggplot and have just started to learn Python.

To control the color map limits, use the vlim kwarg on this function.

If you want to color the over/under values differently you can use the set_over and set_under properties of the color maps (http://matplotlib.org/examples/api/colorbar_only.html) but that will require changing the function a bit to be able to pass in what color map to use (which should be done anyway as jet is an awful color map (http://matplotlib.org/users/colormaps.html) ).

Your particular problem will be result using the vlim kwarg as tacaswell said in a previous reply. About the option to change the color map, I'll take a look.

I think this needs the option to change colormap otherwise 👍 from me

Please let me know if I can help you with anything else.

@curiale Thanks. Your work is now part of the public docs: http://matplotlib.org/devdocs/examples/pylab_examples/leftventricle_bulleye.html