Hi @cqcn1991

I'm really impressed by your work !

Sorry but I don't know what it will happen with Matplotlib update...

If no cmap argument is passed it might be jet
https://github.com/scls19fr/windrose/blob/a024d3af097c69d28f98328e7eb2b3dbc215838a/windrose/windrose.py#L243

You might try to pass cmap argument (different than jet) to both bar and windrose
if only windrose take account of this cmap argument... than a PR to fix will be very nice

Just tried it

# Not work
ax.bar(df.dir_windrose, df.speed, normed=True, opening=0.8, edgecolor='white', nsector=36, cmap='viridis')
# Works
viridis = plt.get_cmap('viridis')
ax.bar(df.dir_windrose, df.speed, normed=True, opening=0.8, edgecolor='white', nsector=36, cmap=viridis)

From https://github.com/scls19fr/windrose/blob/a024d3af097c69d28f98328e7eb2b3dbc215838a/windrose/windrose.py#L242 , I can see that it's not string name but the cmap itself get passed. Not sure if this is a good design.

I find the cmap=plt.get_cmap(name) from http://matplotlib.org/examples/color/colormaps_reference.html

I think it's better to pass cmap itself and not its name because you can be able to pass a custom cmap (a user defined cmap that don't have name) this way.

@scls19fr OK. I post this issue because I just know that matplotlib is changing colormap from jet to viridis, and I think you maybe interested in it as well. If you are unfamiliar with this, you can see discussion here (http://matplotlib.org/style_changes.html) and here (http://stats.stackexchange.com/questions/223315/why-use-colormap-viridis-over-jet).

Addtionally, thanks for your intereste in https://github.com/cqcn1991/Wind-Speed-Analysis. Could you tell me where it interest you most? Honestly, while I open-sourced this project (It's my Master Thesis, and I'm working a paper on it), I never know any other people would care about it.