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Jesper, For performance reasons, what _make_barbs() does is create a (almost degenerate) polygon for each wind barb in the data set. The barbs are drawn such that y is along the barb, and x is perpendicular to the barb; the barb is then rotated as appropriate. The first point in the polygon is IIRC the tip of the barb, so all that would be needed is to add a few points at the beginning of the polygon to draw an arrow head shapee. Of course, all of this is deep implementation detail, subject to change in the future, but subclassing the Barbs class and overriding the _make_barbs() method should be relatively ok. (I'd start with a copy of _make_barbs() and tweak as necessary) Ryan On Wed, Sep 17, 2014 at 6:29 AM, Jesper Larsen <jes...@gm...> wrote: > Hi matplotlib users > > I am developing an application for showing weather forecasts using > matplotlib. We use wind barbs for displaying wind forecasts: > > > http://api.fcoo.dk/ifm-maps/greenland/?zoom=6&lat=62&lon=-45&layer=FCOO%20Standard&overlays=TTFFFFFFFFFFFFFFF > > This is fine for our "power users". We do however also have some users who > are not used to wind barbs. I have elsewhere seen people put a small arrow > head at the foot of the wind barbs to make it more clear which direction > the wind blows toward. > > As far as I can see from the matplotlib quiver.py code this is not > possible with matplotlib. But the _make_barbs method does not seem that > complicated so I wondered if it is something that I can do myself. I have > however never used the matplotlib low level drawing primitives. I would > therefore appreciate any good advice. > > Best regards, > Jesper Baasch-Larsen > > > > > ------------------------------------------------------------------------------ > Want excitement? > Manually upgrade your production database. > When you want reliability, choose Perforce > Perforce version control. Predictably reliable. > > http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma
If you don't get an error message, and you don't get a window, it probably means you matplotlib is defaulting to the Agg backend. The backend is set by default in site-packages/matplotlib/mpl-data/matplotlibrc . What does this report?: import matplotlib print(matplotlib.rcParams['backend']) On my system, it reports 'Qt4Agg'. If your reports 'Agg', you can copy that matplotlibrc file into your ~/.matplotlib directory, and edit the backend based on whatever GUI toolkit you have installed or prefer. Darren On Tue, Sep 16, 2014 at 10:27 PM, 'Michiel de Hoon' via Anaconda - Public < ana...@co...> wrote: > The example works fine with matplotlib 1.4.0, python 3.4.0 (not from > Anaconda) with Mac OS X Maverick. > > Best, > -Michiel. > > -------------------------------------------- > On Wed, 9/17/14, Christophe Bal <pro...@gm...> wrote: > > Subject: [Matplotlib-users] Anaconda Mac or matplolib bug ? > To: ana...@co..., mat...@li... > Date: Wednesday, September 17, 2014, 2:19 AM > > Hello. > I do not know the guilty people in this story. > The following code works with Anaconda Python 3 on Lubuntu > 14 but it does not with Anaconda Python 3 Mac OS Maverick. > Why ? > This message has been posted on both the list of > Anaconda and the one of matplotlib. > Christophe > === Code === > # Source# * http://matplotlib.org/1.3.1/users/image_tutorial.html > import matplotlib.pyplot as plt > import matplotlib.image as mpimg > impath = path2stinkbug_png"im = > mpimg.imread(impath) > implot = plt.imshow(im) > plt.show() > > > -----Inline Attachment Follows----- > > > ------------------------------------------------------------------------------ > Want excitement? > Manually upgrade your production database. > When you want reliability, choose Perforce. > Perforce version control. Predictably reliable. > > http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk > -----Inline Attachment Follows----- > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > -- > Anaconda Community Support Group Brought to you by Continuum Analytics > --- > You received this message because you are subscribed to the Google Groups > "Anaconda - Public" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to ana...@co.... > To post to this group, send email to ana...@co.... > Visit this group at > http://groups.google.com/a/continuum.io/group/anaconda/. >
Hi matplotlib users I am developing an application for showing weather forecasts using matplotlib. We use wind barbs for displaying wind forecasts: http://api.fcoo.dk/ifm-maps/greenland/?zoom=6&lat=62&lon=-45&layer=FCOO%20Standard&overlays=TTFFFFFFFFFFFFFFF This is fine for our "power users". We do however also have some users who are not used to wind barbs. I have elsewhere seen people put a small arrow head at the foot of the wind barbs to make it more clear which direction the wind blows toward. As far as I can see from the matplotlib quiver.py code this is not possible with matplotlib. But the _make_barbs method does not seem that complicated so I wondered if it is something that I can do myself. I have however never used the matplotlib low level drawing primitives. I would therefore appreciate any good advice. Best regards, Jesper Baasch-Larsen
The example works fine with matplotlib 1.4.0, python 3.4.0 (not from Anaconda) with Mac OS X Maverick. Best, -Michiel. -------------------------------------------- On Wed, 9/17/14, Christophe Bal <pro...@gm...> wrote: Subject: [Matplotlib-users] Anaconda Mac or matplolib bug ? To: ana...@co..., mat...@li... Date: Wednesday, September 17, 2014, 2:19 AM Hello. I do not know the guilty people in this story. The following code works with Anaconda Python 3 on Lubuntu 14 but it does not with Anaconda Python 3 Mac OS Maverick. Why ? This message has been posted on both the list of Anaconda and the one of matplotlib. Christophe === Code === # Source# * http://matplotlib.org/1.3.1/users/image_tutorial.html import matplotlib.pyplot as plt import matplotlib.image as mpimg impath = path2stinkbug_png"im = mpimg.imread(impath) implot = plt.imshow(im) plt.show() -----Inline Attachment Follows----- ------------------------------------------------------------------------------ Want excitement? Manually upgrade your production database. When you want reliability, choose Perforce. Perforce version control. Predictably reliable. http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk -----Inline Attachment Follows----- _______________________________________________ Matplotlib-users mailing list Mat...@li... https://lists.sourceforge.net/lists/listinfo/matplotlib-users