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> I would just use the fill_between method
> http://matplotlib.org/examples/pylab_examples/fill_between_demo.html?highlight=codex%20fill_between
> <http://matplotlib.org/examples/pylab_examples/fill_between_demo..html?highlight=codex%20fill_between> 
today I found this:
http://tonysyu.github.io/mpltools/auto_examples/special/plot_errorfill.html#example-special-plot-errorfill-py

ideally exactly what I need.

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.

Hello everyone,

The problem I'm having can be seen by running the code at
http://pastebin.com/inNtYQkH (it is 90 lines long, couldn't make it shorter
in order to demonstrate almost everything I wanted, not including in the
email since the indentation might get broken).

I'm trying to replot a line every X milliseconds -- if there is new data --
together with the Cursor widget. So far I have no issues in plotting such
line, but the Cursor flickers when the plot is redraw. I guess my issue is
that Cursor uses blit, while I'm not using the blit technique for
replotting. Should I be doing this animation in a whole different method ?
Or is there a way to use Cursor in this setup without seeing it flickering ?

I didn't manage to use FuncAnimation because the data arrives in irregular
intervals (not in the code included, but in the real case), from different
sources from the network. Note that redrawing the line is not an issue
speed-wise, since the number of points is relatively low. It is just that
the Cursor flickers whenever the plot is redraw.

Forgot to send to the list <sigh>


---------- Forwarded message ----------
From: Scott Sinclair <sco...@gm...>
Date: 30 April 2013 13:20
Subject: Re: [Matplotlib-users] Basemap plotting data on projection
To: ChaoYue <cha...@gm...>


On 29 April 2013 23:32, ChaoYue <cha...@gm...> wrote:
> pdata = np.genfromtxt('pdata.txt')
> pdata = np.ma.masked_greater(pdata,1E20)
> lonm,latm=m.makegrid(pdata.shape[1],pdata.shape[0])

The problem is here ^^^

The data don't lie on an equally spaced grid in the Mercator
projection, so it doesn't make sense to ask for the lat/lon
coordinates of a grid that is equally spaced in this projection. You
need to determine the *actual* lat/lon coordinates before projecting
them onto the Mercator map and plotting...

Something like this should work (If you can assume that the data are
on an equally spaced grid in Equidistant Cyl projection having the
boundaries specified):

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt

# Set up the Equidistant Cyl projection to determine data locations.
pdata = np.genfromtxt('pdata.txt')
pdata = np.ma.masked_greater(pdata, 1E20)
ny, nx = pdata.shape

cyl_basemap = Basemap(projection='cyl', llcrnrlat=9, urcrnrlat=54.5,
                      llcrnrlon=74, urcrnrlon=142, lat_ts=20, resolution='l')
lon, lat = cyl_basemap.makegrid(nx, ny)

# Set up the Mercator projection for plotting.
m = Basemap(projection='merc', llcrnrlat=9, urcrnrlat=54.5,\
            llcrnrlon=74, urcrnrlon=142, lat_ts=20, resolution='l')
m.drawcountries()
m.drawcoastlines()
m.drawmapboundary(fill_color='white')
m.drawrivers()

x, y = m(lon, np.flipud(lat))
cs = m.contourf(x, y, pdata)
m.colorbar(cs)
plt.show()

Cheers,
Scott

Just to stress the following:

While the tutorial program is already online, the deadline for the call for abstracts
 just got extended to May 5, 2013.  So there is still about a week to 
submit an interesting topic for a talk or a poster. You use Python for 
interesting scientific projects? Please consider presenting your work in
 Brussels.


Thomas

**********************
Dr Thomas Lecocq 
Geologist
Royal Observatory of Belgium

- Seismology -
**********************


From: thl...@ms...
To: ent...@en...; mat...@li...
Date: Sun, 28 Apr 2013 10:53:57 +0000
Subject: [Enthought-Dev] EuroSciPy 2013




FYI

-------- Message original --------
      
        
          
            Sujet: 
            EuroSciPy 2013 - Deadline of the call for abstracts on
              28 april and many updates
          
          
            Date : 
            Mon, 22 Apr 2013 19:50:04 +0200
          
          
            De : 
            Organisation of EuroScipy
              <eur...@py...>
          
          
            Pour : 
            Organisation of EuroScipy
              <eur...@py...>
          
        
      
      

      

      Dear Scientist using Python,

EuroSciPy is the European Conference on Python in Science. The call for
abstracts for oral and poster presentations for EuroSciPy 2013 closes at the end
of this week, on 28 april. We welcome your applications via our website
https://www.euroscipy.org/. As a reminder, our keynote speakers are Cameron
Neylon (Public Library of Science) and Peter Wang (Continuum Analytics).

Find more below! Tutorials, sprints, focus issue of the journal "Computational
Science and Discovery" (IOP), proceedings and participant support!

We are glad to announce that the tutorial program is online at
https://www.euroscipy.org/schedule/tutorials/. As usual, our tutorial speakers
will cover all the basics in a beginner track and many powerful tools in the
advanced track.

Three sprints will be organized on the day following the conference: Python
visualization, Sage: Open Source Mathematics Software and NumPy and SciPy. More
information at https://www.euroscipy.org/program/sprints/.

Contributors to EuroSciPy 2013 will benefit from two communication
opportunities:
1. An invitation to submit full and original research papers to be reviewed for
   a focus issue (jointly with the SciPy 2013 conference) on Scientific
   Computing with Python in Computational Science & Discovery (CSD), IOP
   Publishing's electronic-only, multidisciplinary journal for the computational
   science community. Further details (guest editors, issue scope, submission
   details, etc) will be announced soon.
2. An invitation to submit their contribution as a paper for the EuroSciPy 2013
   proceedings that will be published. Further details will be announced soon.

Thanks to NumFOCUS and PySV, travel support will be provided to a small number
of students/participants based on their contribution to the conference and/or to
the scientific Python tools. More information will follow during the
registration period.

SciPythonic Regards,

The EuroSciPy 2013 Committee


**********************
Dr Thomas Lecocq 
Geologist
Royal Observatory of Belgium

- Seismology -
**********************
 		 	   		  

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