Re: [Matplotlib-users] hammer projection
The code below uses axisartist toolkit. http://nbviewer.ipython.org/5467593 This is modified from 3rd example from the below example. http://matplotlib.org/examples/axes_grid/demo_floating_axes.html I hope this helps. Regards, -JJ On Tue, Apr 23, 2013 at 11:17 PM, Marian Jakubik wrote: > Hi all, > > is there any possibility to show only first quadrant in hammer > projection? If it is not implemented in matplotlib, have you any trick > for doing this? > > Thanks in advance for your help. > > Best, > Marian > > > -- > Try New Relic Now & We'll Send You this Cool Shirt > New Relic is the only SaaS-based application performance monitoring service > that delivers powerful full stack analytics. Optimize and monitor your > browser, app, & servers with just a few lines of code. Try New Relic > and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Introducing AppDynamics Lite, a free troubleshooting tool for Java/.NET Get 100% visibility into your production application - at no cost. Code-level diagnostics for performance bottlenecks with <2% overhead Download for free and get started troubleshooting in minutes. http://p.sf.net/sfu/appdyn_d2d_ap1___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] black and hatched legend handle
You need to create a new handler. I guess the code below is close to what
you want. I hope this helps.
http://nbviewer.ipython.org/5495680
Regards,
-JJ
On Wed, May 1, 2013 at 5:24 AM, mgurling wrote:
> I'm trying to make a legend handle that is half black and half hatched.
> I've
> tried ...
>
> ...
> rpos1 = ax.bar(ind, pos1, width, color='k', label='+1')
> rneg1 = ax.bar(ind, neg1, width, color='w', hatch='///', label='-1')
>
> rpos2 = ax.bar(ind, pos2, width, color='w', label='+2')
> rneg2 = ax.bar(ind, neg2, width, color='w', label='-2')
>
> handles, labels = ax.get_legend_handles_labels()
> ax.legend( ((handles[0], handles[1]), handles[2]) , ('one', 'two') )
> ...
>
> The first handles--handles[0] and handles[1]--are combined but not side by
> side: the hatched rectangle is placed over the top of the black rectangle
> so
> the handle looks like it is just hatched. How might I create this mixed
> handle?
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/black-and-hatched-legend-handle-tp40979.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
> --
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[Matplotlib-users] A very simple wrapper of part of the 2D plot functions in matplotlib
Dear all, When I start to make the plots for my first publication of my PhD study. I use the plot command to make some line and scatter plots, then I find myself want to have some scatter plot as well, and I want to change some of the scatter points colors. And probably later I want bar plots So I find it taking me 3 hours to change the underlying code just to change a plot type of the same data. Don't know others have the same issue Then I started to write some small functions with the idea of like "data centered plotting", it wraps some of the maplotlib functions in a STUPID, SIMPLE yet flexible way. The idea is not for large scale production purpose, but for a "quick-look" of the data with some "intermediate-stage of easthetic", for a rather small amount of data. So I ended with a small library of which I called Pdata. (short for PlotData, which means data centered plotting functions). I don't know if others have similar demand. However I put it here to just have some comments from you. You're invited to spend 5mins on this small ipython notebook: https://gist.github.com/ChaoYue/5494557 use http://nbviewer.ipython.org/ to check it. cheers, Chao -- *** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572 CEA-CNRS-UVSQ Batiment 712 - Pe 119 91191 GIF Sur YVETTE Cedex Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16 -- Introducing AppDynamics Lite, a free troubleshooting tool for Java/.NET Get 100% visibility into your production application - at no cost. Code-level diagnostics for performance bottlenecks with <2% overhead Download for free and get started troubleshooting in minutes. http://p.sf.net/sfu/appdyn_d2d_ap1___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
