matplotlib-users Mailing List for matplotlib

Hi,

yeah, during my system re-install I used the built-dep option but maybe I
was to busy to notice that I forgot the p3-dev's. Now everything is running
fine and the last two hours were enlighting.

Christian

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No trees were killed in sending this message. However, a large number of
electrons were seriously inconvenienced.....




On Mon, Jan 28, 2013 at 9:20 PM, Sandro Tosi [via matplotlib] <
ml-...@n5...> wrote:

> On Mon, Jan 28, 2013 at 9:05 PM, Michael Droettboom <[hidden email]<http://user/SendEmail.jtp?type=node&node=40347&i=0>>
> wrote:
> >     sudo apt-get build_dep python-matplotlib
>
> small typo fix: the option name is 'build-dep'.
>
> Cheers,
> --
> Sandro Tosi (aka morph, morpheus, matrixhasu)
> My website: http://matrixhasu.altervista.org/
> Me at Debian: http://wiki.debian.org/SandroTosi
>
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>
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On Mon, Jan 28, 2013 at 9:05 PM, Michael Droettboom <md...@st...> wrote:
>     sudo apt-get build_dep python-matplotlib

small typo fix: the option name is 'build-dep'.

Cheers,
--
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi

As a shortcut, you can also install all of the build dependencies for a 
package (without installing the package itself) using:

    sudo apt-get build_dep python-matplotlib

Mike

On 01/28/2013 01:40 PM, Orgun wrote:
> Thanks, that helped a lot! I don't know why the dev-package hasn't been
> installed. That has been the first think I thought I did when re-installing
> after my latest hardware change in December.
>
> Thanks a lot. That saved my day.
>
> Christian
>
>
>
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>
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Thanks, that helped a lot! I don't know why the dev-package hasn't been
installed. That has been the first think I thought I did when re-installing
after my latest hardware change in December.

Thanks a lot. That saved my day.

Christian



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On Mon, Jan 28, 2013 at 10:20 AM, Orgun <am...@gm...> wrote:

> Hi guy,
>
> as I'm new to matplotlib I tried to install it following the instructions
> on
> http://matplotlib.org/faq/installing_faq.html#source-install-from-git
> <http://matplotlib.org/faq/installing_faq.html#source-install-from-git>  .
> After downloading and changing the directory properly I get the following
> error:
>
>
> building 'matplotlib.ft2font' extension
> gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -D_FORTIFY_SOURCE=2 -g
> -fstack-protector --param=ssp-buffer-size=4 -Wformat
> -Werror=format-security
> -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1
> -DPYCXX_PYTHON_2TO3=1 -I/usr/local/include -I/usr/include
> -I/usr/lib/python3/dist-packages/numpy/core/include
> -I/usr/include/freetype2
> -I/usr/local/include -I/usr/include -I. -I/usr/include/python3.2mu -c
> src/ft2font.cpp -o build/temp.linux-x86_64-3.2/src/ft2font.o
> In file included from ./CXX/Extensions.hxx:37:0,
>                  from src/ft2font.h:6,
>                  from src/ft2font.cpp:3:
> ./CXX/WrapPython.h:58:20: fatal error: Python.h: No such file or directory
> compilation terminated.
> error: command 'gcc' failed with exit status 1


This error leads me to think that you need the Python3 development headers.
$ sudo apt-get install python3-dev  # from memory, so yeah

Let us know if that works.
-p



> I'm using Linux Mint Nadia 14.2 Kernel 3.5.0.17, Python 3.2.3 (Oct 19 2012)
> and gcc 4.7.2. Numpy, Simpy & Scipy are up to date.
>
> What did I do wrong?
> I have to use python3 because every other task was written specifficly with
> python3.
>
> cheers,
> Christian
>

Hi guy,

as I'm new to matplotlib I tried to install it following the instructions on 
http://matplotlib.org/faq/installing_faq.html#source-install-from-git
<http://matplotlib.org/faq/installing_faq.html#source-install-from-git>  .
After downloading and changing the directory properly I get the following
error: 


building 'matplotlib.ft2font' extension
gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -D_FORTIFY_SOURCE=2 -g
-fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security
-fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1
-DPYCXX_PYTHON_2TO3=1 -I/usr/local/include -I/usr/include
-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/freetype2
-I/usr/local/include -I/usr/include -I. -I/usr/include/python3.2mu -c
src/ft2font.cpp -o build/temp.linux-x86_64-3.2/src/ft2font.o
In file included from ./CXX/Extensions.hxx:37:0,
                 from src/ft2font.h:6,
                 from src/ft2font.cpp:3:
./CXX/WrapPython.h:58:20: fatal error: Python.h: No such file or directory
compilation terminated.
error: command 'gcc' failed with exit status 1

I'm using Linux Mint Nadia 14.2 Kernel 3.5.0.17, Python 3.2.3 (Oct 19 2012)
and gcc 4.7.2. Numpy, Simpy & Scipy are up to date.

What did I do wrong?
I have to use python3 because every other task was written specifficly with
python3.

cheers,
Christian




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Hi,

Le 27/01/2013 00:35, Skipper Seabold a écrit :
> This has been asked before, and I just filed a ticket [1]. Can anyone
> think of a better way to do something like this? The fill_between
> below is pretty suboptimal IMO.
I feel that adding a filled step plot would indeed be useful.

Just thinking at a possible API, would it make sense to add the
"drawstyle" argument which already exists for plot() to fill_between() ?

best,
Pierre

#! /usr/bin/python
    import numpy as np
    data = np.loadtxt('path-tracks.csv',dtype=np.str,delimiter=',',skiprows=1)
    print data

 [['19.70' '-95.20' '2/5/04 6:45 AM' '1' '-38' 'CCM']
 ['19.70' '-94.70' '2/5/04 7:45 AM' '1' '-48' 'CCM']
 ['19.30' '-93.90' '2/5/04 8:45 AM' '1' '-60' 'CCM']
 ['19.00' '-93.50' '2/5/04 9:45 AM' '1' '-58' 'CCM']
 ['19.00' '-92.80' '2/5/04 10:45 AM' '1' '-50' 'CCM']
 ['19.20' '-92.60' '2/5/04 11:45 AM' '1' '-40' 'CCM']
 ['19.90' '-93.00' '2/5/04 12:45 PM' '1' '-43' 'CCM']
 ['20.00' '-92.80' '2/5/04 1:15 PM' '1' '-32' 'CCM']
 ['23.10' '-100.20' '30/5/04 4:45 AM' '2' '-45' 'SCME']
 ['23.20' '-100.00' '30/5/04 5:45 AM' '2' '-56' 'SCME']
 ['23.30' '-100.00' '30/5/04 6:45 AM' '2' '-48' 'SCME']
 ['23.30' '-100.20' '30/5/04 7:45 AM' '2' '-32' 'SCME']
 ['23.40' '-99.00' '31/5/04 3:15 AM' '3' '-36' 'SCM']
 ['23.50' '-98.90' '31/5/04 4:15 AM' '3' '-46' 'SCM']
 ['23.60' '-98.70' '31/5/04 5:15 AM' '3' '-68' 'SCM']
 ['23.70' '-98.80' '31/5/04 6:15 AM' '3' '-30' 'SCM']]

 with the above code I get an array whose columns represent: [Lat, Lon, Date, Identifier, Temperatures, Category]. Now, I will put a code that allows me to plot the first and second column on the map of Mexico:



    #!/usr/bin/python
    #Project Storm: Plot trajectories of convective systems
    #import libraries

    import numpy as np
    from mpl_toolkits.basemap import Basemap
    import  matplotlib.pyplot as pl

    # Plot a map for Mexico

    m = Basemap(projection='cyl', llcrnrlat=12, urcrnrlat=35,llcrnrlon=-120, urcrnrlon=-80, resolution='c', area_thresh=1000.)
    m.bluemarble()
    m.drawcoastlines(linewidth=0.5)
    m.drawcountries(linewidth=0.5)
    m.drawstates(linewidth=0.5)

    #Draw parallels and meridians

    m.drawparallels(np.arange(10.,35.,5.))
    m.drawmeridians(np.arange(-120.,-80.,10.))
    m.drawmapboundary(fill_color='aqua')

    #Open file whit numpy

    data = np.loadtxt('path-tracks.csv', dtype=np.str,delimiter=' , ', skiprows=1)
    latitude = data[:,0]
    longitude = data[:,1]

    #Convert latitude and longitude to coordinates X and Y

    x, y = m(longitude, latitude)

    #Plot the points on the map

    pl.plot(x,y,'ro-')
    pl.show()


with this I get the figure in attachment

The points plotted on the map, corresponding to three different paths. Mi final idea is to draw a line connecting the points associated with each path, How  I can do this?

is posible draw an identifier or a mark for each path?


how I can set the size of the figure so that it can distinguish the separation between the points?

Ok, finally, to get the scaling to work, I rewrote the c density plotter to
accept a scaleFactor argument to affect a new max/min y-axis on that end and
pass it to the python script which reads the background as an mhd dataset.
Then I had to update my python to include the new scaled y-axis limits in
both the extent in the imshow() function *and* the set_ylim() commands. Now
I have a nice scalable buffer on the price band. Cheers~ 



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