Plotting wind vectors (wind speed and direction)

[Carwyn Pelley]

A number of users have asked for guidance on plotting wind vectors , so I thought I would create a github gist and post a link here:
https://gist.github.com/cpelley/6351152

Please note that I used randomly generated data in order to share publicly.

This would obviously be applicable to plotting any similar vectors such as ocean currents perhaps...

[Phil Elson]

It'd be cool if you could share this as a notebook so we can all see the pictures without necessarily running the code... ;-)

On 27 August 2013 09:48, Carwyn Pelley <cpell...@gmail.com> wrote:

A number of users have asked for guidance on plotting wind vectors , so I thought I would create a github gist and post a link here:
https://gist.github.com/cpelley/6351152

Please note that I used randomly generated the data in order to share publicly.

This would obviously be applicable to plotting any similar vectors such as ocean currents perhaps...

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[Rich Signell]

Phil,

That's actually the first thing I did with this example
http://nbviewer.ipython.org/urls/raw.github.com/rsignell-usgs/ipython-notebooks/master/Iris_Vector_Plot.ipynb

but I agree that it would be cool if authors of examples could share notebooks so that when they make changes the nbviewer rendering would automagically get updated also.

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Dr. Richard P. Signell   (508) 457-2229
USGS, 384 Woods Hole Rd.  
Woods Hole, MA 02543-1598

[Rich Signell]

This example also exposes the clipping bug that I guess still exists in Cartopy (the xaxis and yaxis labels are nearly completely clipped in my notebook example)

[Phil Elson]

Rich, what version of matplotlib are you using? I think I've fixed this for v1.3.

[Carwyn Pelley]

Thanks Rich, a lot more presentable in your ipython notebook!

[Rich Signell]

Phil,

Yes, after upgrading to Matplotlib v1.3, the clipping problem is gone:
http://nbviewer.ipython.org/urls/raw.github.com/rsignell-usgs/ipython-notebooks/master/Iris_Vector_Plot.ipynb

It's so awesome that you fixed this Matplotlib v1.2 bug, fixing the problem not only for Iris and Cartopy users, but for the entire Python community. 

This is a great aspect about the Iris project -- and one which I'm trying to promote here in US Government work, using Iris as an example!

Thanks,
Rich

[Carwyn Pelley]

I thought I should point out for those looking at the above example, that Andrew Dawson has made a fantastic enhancement in cartopy so that vectors can now be plotted to any specified projection! not just orthogonal ones.
https://github.com/SciTools/cartopy/pull/348

I'll update the example above when I have time.