Re: [Matplotlib-users] Matplotlib for tiles - blank lines

[Jesper L. <jes...@gm...>]

Hi Phil,

Yes, I can confirm that upgrading fixes the issue. Thanks for the pointer
to cartopy.

Best regards,
Jesper




2014-03-24 12:13 GMT+01:00 Phil Elson <pel...@gm...>:

> I fixed an issue related to this (I too was producing map tiles) in
> matplotlib v1.2 I believe.
>
> The original issue can be found at
> https://github.com/matplotlib/matplotlib/pull/1591 and so I suggest this
> might not be an issue with matplotlib >= v1.3.
>
> Incidentally, if you are producing map tiles you might be interested in
> cartopy which will allow you to produce properly referenced geo maps (and
> therefore tiles) with coastlines etc.
> I've put a short-sh example in a gist () with the rendered results also
> available (https://rawgithub.com/pelson/9738051/raw/map.html). I've also
> got a tornado based handler version which generates the tiles upon HTTP
> request rather than storing the tiles on disk (much more efficient if you
> have highly dynamic data and a caching layer).
>
> Let me know if updating your matplotlib version helps,
>
> Cheers,
>
> Phil
>
>
>
>
>
>
>
> On 24 March 2014 09:45, Jesper Larsen <jes...@gm...> wrote:
>
>> Hi matplotlib users,
>>
>> I am using matplotlib to produce plots (tiles) in a Web Map Service.
>> Unfortunately I cannot get Matplotlib to plot on the entire image. There
>> are one transparent (pixel) line at the bottom and one transparent line at
>> the right. This is of course a problem when the tiles are shown in a map.
>> Please see example below. Can anyone see what I am doing wrong?
>>
>> Best regards,
>> Jesper
>>
>> import numpy as np
>> import matplotlib as mpl
>> from matplotlib.figure import Figure
>> from matplotlib.backends.backend_agg import FigureCanvasAgg as
>> FigureCanvas
>>
>> w = 256
>> h = 256
>> dpi = 128
>> figsize = w/dpi, h/dpi
>> fig = Figure(figsize=figsize, dpi=dpi, frameon=False)
>> canvas = FigureCanvas(fig)
>> ax = fig.add_axes([0, 0, 1, 1])
>>
>> x = np.arange(0, 10, 0.1)
>> y = np.arange(10, 20, 0.2)
>> X, Y = np.meshgrid(x, y)
>> D = np.ones((X.shape[0]-1, X.shape[1]-1))
>> V = np.linspace(0.0, 1.0, 10)
>> ax.pcolor(X, Y, D, antialiased=False)
>> ax.axis( [x[0], x[-1], y[0], y[-1]] )
>> ax.axis('off')
>> filename = 'testfile.png'
>> fig.savefig(filename, dpi=128)
>>
>> # Test image
>> from PIL import Image
>> im = Image.open(filename)
>> print im.getcolors()
>>
>>
>>
>> ------------------------------------------------------------------------------
>> Learn Graph Databases - Download FREE O'Reilly Book
>> "Graph Databases" is the definitive new guide to graph databases and their
>> applications. Written by three acclaimed leaders in the field,
>> this first edition is now available. Download your free book today!
>> http://p.sf.net/sfu/13534_NeoTech
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>