[yt-users] overplot grid sturcutre (with .annotate_grids()) while using Axesgrid

Dominik Derigs derigs at ph1.uni-koeln.de
Wed Oct 14 10:20:20 PDT 2015


 for verts in slc.ds.grid_lines:
grid_collection = PolyCollection(verts, facecolors="none",
edgecolors=(1.0,1.0,1.0,0.2),linewidth=0.1)
grid[gridid].axes.add_collection(grid_collection)

2015-10-14 15:50 GMT+02:00 Tim-Eric Rathjen <rathjen at ph1.uni-koeln.de>:

>
>
>
> ===================================
> Tim-Eric Rathjen
> I. Physikalisches Institut
> Universität zu Köln
> Universitätsstr. 22
> 50937 Köln
> Germany
> email: rathjen at ph1.uni-koeln.de
> phone: +49 (0) 221 470 8352
> Hi,
> I'm trying to do some kind of a multiplot using yt and the
> .annotate_grids()-function provided with yt.
>
> My code looks like this:
>
> import yt
> import matplotlib.pyplot as plt
> from mpl_toolkits.axes_grid1 import AxesGrid
>
> fns = ['turb_vrms10_n3_pm__hdf5_plt_cnt_0200',
> 'turb_vrms10_n3_pm__hdf5_plt_cnt_0300']
>
> fig = plt.figure()
>
> # See http://matplotlib.org/mpl_toolkits/axes_grid/api/axes_grid_api.html
> # These choices of keyword arguments produce a four panel plot with a
> single
> # shared narrow colorbar on the right hand side of the multipanel plot.
> Axes
> # labels are drawn for all plots since we're slicing along different
> directions
> # for each plot.
> grid = AxesGrid(fig, (0.075,0.075,0.85,0.85),
>                 nrows_ncols = (2, 1),
>                 axes_pad = 0.05,
>                 label_mode = "L",
>                 share_all = True,
>                 cbar_location="right",
>                 cbar_mode="single",
>                 cbar_size="3%",
>                 cbar_pad="0%")
>
> for i, fn in enumerate(fns):
>     # Load the data and create a single plot
>     ds = yt.load(fn) # load data
>
>     # Make a ProjectionPlot with a width of 34 comoving megaparsecs
>     p = yt.ProjectionPlot(ds, 'z', 'density').annotate_grids()
>     #p = yt.SlicePlot(ds, 'z', 'density').annotate_grids()
>
>     # Ensure the colorbar limits match for all plots
>     #p.set_zlim('density', 1e-4, 1e-2)
>     p.set_zlim('density', minVal, maxVal)
>
>     # This forces the ProjectionPlot to redraw itself on the AxesGrid axes.
>     plot = p.plots['density']
>     plot.figure = fig
>     plot.axes = grid[i].axes
>     plot.cax = grid.cbar_axes[i]
>
>     # Finally, this actually redraws the plot.
>     p._setup_plots()
>
> plt.savefig('multiplot_1x2_time_series.png', bbox_inches='tight')
>
> And it works fine EXCEPT that it doesn't annotate the grid structure..
> Any ideas somebody?
>
> Thank you very much,
> Best regards,
> Tim-Eric
>
> _______________________________________________
> yt-users mailing list
> yt-users at lists.spacepope.org
> http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>
>


-- 
Dominik Derigs
I. Physikalisches Institut
Universität zu Köln
Zülpicher Straße 77
50937 Köln
GERMANY

Tel. (+49|0) 221 470-8352
Fax. (+49|0) 221 470-5162

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