matplotlib-users Mailing List for matplotlib

On Thursday 03 August 2006 17:44, Gregory Pi=F1ero wrote:
> So all you changed was to add in align=3D'center' ?  I assume me using
> figure.gca() is equivalent to your use of ax?

Yes, gca() is "get the current axes object".

> Is it hard to upgrade to the latest version from svn?  Any directions?
[From=20
'http://projects.scipy.org/neuroimaging/ni/wiki/DevelopmentInstallFedora']

svn co https://svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib=20
matplotlib-trunk
cd matplotlib-trunk
python setup.py build
sudo python setup.py install
cd ..

But Greg, if it's only for that, try to put an empty label in front of the=
=20
others:
figure.gca().set_yticklabels(('', 'Tom', 'Dick', 'Harry', 'Slim', 'Jim'))
That might do the trick

On 8/3/06, John Hunter <jdh...@ac...> wrote:
> The following, with svn mpl, works.  If it doesn't work for you, make
> sure to upgrade your matplotlib; note the use of "align" which is a
> fairly recent addition to mpl
>
>     val = [2,5,3,6,3]    # the bar lengths
>     pos = arange(5)+.5    # the bar centers on the y axis
>
>     p1 = figure.gca().barh(pos,val, align='center')
>     ax = figure.gca()
>     ax.set_yticks(pos)
>     ax.set_yticklabels(('Tom', 'Dick', 'Harry', 'Slim', 'Jim'))
>     ax.set_xlabel('Perfomance')
>     ax.set_title('How fast do you want to go today?')
>     canvas=FigureCanvasAgg(figure)

So all you changed was to add in align='center' ?  I assume me using
figure.gca() is equivalent to your use of ax?

Is it hard to upgrade to the latest version from svn?  Any directions?

-Greg

>>>>> "Gregory" =3D=3D Gregory Pi=F1ero <gre...@gm...> writes:

    Gregory> On 8/3/06, John Hunter <jdh...@ac...>
    Gregory> wrote:
    >> >>>>> "Gregory" =3D=3D Gregory Pi=F1ero <gre...@gm...>
    >> writes:
    Gregory> bar centers on the y axis p1 =3D figure.gca().barh(pos,val)
    Gregory> figure.gca().set_yticks(pos)
    Gregory> figure.gca().set_yticklabels(('Tom', 'Dick', 'Harry',
    Gregory> 'Slim', 'Jim')) figure.gca().set_xlabel('Perfomance')
    Gregory> figure.gca().set_title('How fast do you want to go
    Gregory> today?')  canvas=3DFigureCanvasAgg(figure) return canvas
    >>
    Gregory> I changed the code to above but it still gives a similair
    Gregory> result.

The following, with svn mpl, works.  If it doesn't work for you, make
sure to upgrade your matplotlib; note the use of "align" which is a
fairly recent addition to mpl

    val =3D [2,5,3,6,3]    # the bar lengths
    pos =3D arange(5)+.5    # the bar centers on the y axis
   =20
    p1 =3D figure.gca().barh(pos,val, align=3D'center')
    ax =3D figure.gca()
    ax.set_yticks(pos)
    ax.set_yticklabels(('Tom', 'Dick', 'Harry', 'Slim', 'Jim'))
    ax.set_xlabel('Perfomance')
    ax.set_title('How fast do you want to go today?')
    canvas=3DFigureCanvasAgg(figure)

JDH

On 8/3/06, John Hunter <jdh...@ac...> wrote:
> >>>>> "Gregory" =3D=3D Gregory Pi=F1ero <gre...@gm...> writes:
>     Gregory> bar centers on the y axis p1 =3D figure.gca().barh(pos,val)
       figure.gca().set_yticks(pos)
>     Gregory> figure.gca().set_yticklabels(('Tom', 'Dick', 'Harry',
>     Gregory> 'Slim', 'Jim')) figure.gca().set_xlabel('Perfomance')
>     Gregory> figure.gca().set_title('How fast do you want to go
>     Gregory> today?')  canvas=3DFigureCanvasAgg(figure) return canvas
>
I changed the code to above but it still gives a similair result.

>>>>> "Gregory" =3D=3D Gregory Pi=F1ero <gre...@gm...> writes:
    Gregory> bar centers on the y axis p1 =3D figure.gca().barh(pos,val)
    Gregory> figure.gca().set_yticklabels(('Tom', 'Dick', 'Harry',
    Gregory> 'Slim', 'Jim')) figure.gca().set_xlabel('Perfomance')
    Gregory> figure.gca().set_title('How fast do you want to go
    Gregory> today?')  canvas=3DFigureCanvasAgg(figure) return canvas

In the example you are following, the code reads

  yticks(pos, ('Tom', 'Dick', 'Harry', 'Slim', 'Jim'))

This sets the ytick locations and labels.  You are only setting the
locations, and so you are incorrectly placing a tick and label at 0.
You want

    ax.set_yticks(pos)
    ax.set_yticklabels(('Tom', 'Dick', 'Harry', 'Slim', 'Jim'))

JDH

Hi guys,

I can't figure out why my code below is generating the attached image.
 What am I doing wrong?  I tried to copy
http://matplotlib.sourceforge.net/examples/barh_demo.py but also
convert it so I can use the AGG backend.

Any help is appriciated.

Greg Pinero

<code>
from __future__ import division
import cgi,cgitb
import os,sys
import datetime
import tempfile
import matplotlib
matplotlib.use('Agg')  # force the antigrain backend
from matplotlib.dates import YearLocator, MonthLocator,
WeekdayLocator, DateFormatter, date2num
from matplotlib import rc
from matplotlib.backends.backend_agg import FigureCanvasAgg
from matplotlib.figure import Figure
from matplotlib.cbook import iterable
import matplotlib.numerix as nx
from Numeric import arange #makes arrays

def start_chart(height,width):
    """Handles the parts of a chart that are common to all charts. """
    assert height>0 and width>0
    fig = Figure(figsize=(width,height))
    #add an axes at left, bottom, width, height; (in fractions of figure size)
    ax = fig.add_axes([0.2, 0.3, 0.7, 0.6])
    return fig

def make_sideways_bar_chart_proto(figure):
    """ """
    val = [2,5,3,6,3]    # the bar lengths
    pos = arange(5)+.5    # the bar centers on the y axis
    p1 = figure.gca().barh(pos,val)
    figure.gca().set_yticklabels(('Tom', 'Dick', 'Harry', 'Slim', 'Jim'))
    figure.gca().set_xlabel('Perfomance')
    figure.gca().set_title('How fast do you want to go today?')
    canvas=FigureCanvasAgg(figure)
    return canvas

def test_routine():
    height,width=3,4
    figure=start_chart(float(height),float(width))
    canvas=make_sideways_bar_chart_proto(figure)
    canvas.print_figure('test.png', dpi=150)

if __name__=='__main__':
    test_routine()
</code>

Ok, figured it out.  My values had to be floats.  They were strings.
Sorry for the trouble.

On 8/3/06, Gregory Pi=F1ero <gre...@gm...> wrote:
> Hi Fine Matplotlib folks,
>
> I'm getting this error message and I can figure it out:
>
> Traceback (most recent call last):
> ...
>   File "C:\automated tasks\GMVIEW-DEV\chart_gen.debug.py", line 26, in ?
>     p1 =3D figure.gca().barh(ind, ddata['value'], width, color=3D'r')
>   File "C:\Python24\Lib\site-packages\matplotlib\axes.py", line 2499, in =
barh
>     bottom =3D y - height/2.
> ValueError: frames are not aligned
>
> Here is the relevant code:
> <code>
> from __future__ import division
> import os,sys
> import datetime
> import tempfile
> import matplotlib
> matplotlib.use('Agg')  # force the antigrain backend
> from matplotlib.dates import YearLocator, MonthLocator,
> WeekdayLocator, DateFormatter, date2num
> from matplotlib import rc
> from matplotlib.backends.backend_agg import FigureCanvasAgg
> from matplotlib.figure import Figure
> from matplotlib.cbook import iterable
> import matplotlib.numerix as nx
>
> ddata=3D{'label': ['REP1', 'REP2', 'REP3', 'REP4', 'REP5'], 'type':
> 'bar_sideways', 'value': ['23.00', '1381.56', '4606.69', '259.00',
> '50.00'], 'money_format': '1', 'title': 'Sales from 2006-08-01 to
> 2006-08-02'}
> height,width=3D3,4
> figure =3D Figure(figsize=3D(width,height))
> ax =3D figure.add_axes([0.2, 0.3, 0.7, 0.6])
> from Numeric import arange #makes arrays
> N=3Dlen(ddata['value'])
> ind =3D arange(N)  # the x locations for the groups
> width=3D(figure.get_size_inches()[0]/len(ddata['value']))
> width_gap=3D(.3*width)
> width=3Dwidth-width_gap  # the width of the bars
>
> #OFFENDING LINE
> p1 =3D figure.gca().barh(ind, ddata['value'], width, color=3D'r')
>
> figure.gca().set_ylabel('$Amount')
> if title:
>     figure.gca().set_title('title', bbox=3D{'facecolor':'0.8', 'pad':5})
> locs =3D figure.gca().set_xticks(ind+width_gap)
> labels =3D figure.gca().set_xticklabels(ddata['label'])
> figure.gca().set_xlim(-width,len(ind))
> #try to autoscale here
> y_height=3Dmax(ddata['value'])+.2*max(ddata['value'])
> y_increment=3Dround(y_height/5,-1)
> figure.gca().set_yticks(arange(0,y_height,y_increment))
> canvas =3D FigureCanvasAgg(figure)
> </code>
>
> any help is greatly appriciated!
>
> --
> Gregory Pi=F1ero
> Chief Innovation Officer
> Blended Technologies
> (www.blendedtechnologies.com)
>


--=20
Gregory Pi=F1ero
Chief Innovation Officer
Blended Technologies
(www.blendedtechnologies.com)

Hi Fine Matplotlib folks,

I'm getting this error message and I can figure it out:

Traceback (most recent call last):
...
  File "C:\automated tasks\GMVIEW-DEV\chart_gen.debug.py", line 26, in ?
    p1 =3D figure.gca().barh(ind, ddata['value'], width, color=3D'r')
  File "C:\Python24\Lib\site-packages\matplotlib\axes.py", line 2499, in ba=
rh
    bottom =3D y - height/2.
ValueError: frames are not aligned

Here is the relevant code:
<code>
from __future__ import division
import os,sys
import datetime
import tempfile
import matplotlib
matplotlib.use('Agg')  # force the antigrain backend
from matplotlib.dates import YearLocator, MonthLocator,
WeekdayLocator, DateFormatter, date2num
from matplotlib import rc
from matplotlib.backends.backend_agg import FigureCanvasAgg
from matplotlib.figure import Figure
from matplotlib.cbook import iterable
import matplotlib.numerix as nx

ddata=3D{'label': ['REP1', 'REP2', 'REP3', 'REP4', 'REP5'], 'type':
'bar_sideways', 'value': ['23.00', '1381.56', '4606.69', '259.00',
'50.00'], 'money_format': '1', 'title': 'Sales from 2006-08-01 to
2006-08-02'}
height,width=3D3,4
figure =3D Figure(figsize=3D(width,height))
ax =3D figure.add_axes([0.2, 0.3, 0.7, 0.6])
from Numeric import arange #makes arrays
N=3Dlen(ddata['value'])
ind =3D arange(N)  # the x locations for the groups
width=3D(figure.get_size_inches()[0]/len(ddata['value']))
width_gap=3D(.3*width)
width=3Dwidth-width_gap  # the width of the bars

#OFFENDING LINE
p1 =3D figure.gca().barh(ind, ddata['value'], width, color=3D'r')

figure.gca().set_ylabel('$Amount')
if title:
    figure.gca().set_title('title', bbox=3D{'facecolor':'0.8', 'pad':5})
locs =3D figure.gca().set_xticks(ind+width_gap)
labels =3D figure.gca().set_xticklabels(ddata['label'])
figure.gca().set_xlim(-width,len(ind))
#try to autoscale here
y_height=3Dmax(ddata['value'])+.2*max(ddata['value'])
y_increment=3Dround(y_height/5,-1)
figure.gca().set_yticks(arange(0,y_height,y_increment))
canvas =3D FigureCanvasAgg(figure)
</code>

any help is greatly appriciated!

--=20
Gregory Pi=F1ero
Chief Innovation Officer
Blended Technologies
(www.blendedtechnologies.com)

On 8/3/06, John Hunter <jdh...@ac...> wrote:
> >>>>> "Kenny" == Kenny Ortmann <ya...@em...> writes:
>
>     Kenny> When pylab tries to call numerix\__init__.py it is trying
>     Kenny> to figure out whether to call numpy, numeric, or numarray.
>     Kenny> Since it defaults to numeric I've tried to change the
>     Kenny> default to numpy, and that returned no luck.
>
> Find your matplotlib rc file -- it is probably in the folder
>
>   C:\Documents and Settings\yourname\.matplotlib
>
> and edit it to change the "numerix setting" to "numpy".  Eg,
>
>   numerix      : numpy  # numpy, Numeric or numarray

Before you have to write back.... the latest matplotlib release only
works with numpy-0.9.8.

>>>>> "Kenny" == Kenny Ortmann <ya...@em...> writes:

    Kenny> When pylab tries to call numerix\__init__.py it is trying
    Kenny> to figure out whether to call numpy, numeric, or numarray.
    Kenny> Since it defaults to numeric I've tried to change the
    Kenny> default to numpy, and that returned no luck.

Find your matplotlib rc file -- it is probably in the folder

  C:\Documents and Settings\yourname\.matplotlib 

and edit it to change the "numerix setting" to "numpy".  Eg,

  numerix      : numpy  # numpy, Numeric or numarray

JDH

I am very new to matplotlib.  Trying to start the <a
href="http://matplotlib.sourceforge.net/tutorial.html">tutorial, </a> the
very first script, the first line of the script, throws me this error.  I
have installed scipy version 0.5.0 for windows, and numpy version 1.0b1

i followed the instructions and made sure to install numy version 1.0b1
first.  I have also tried to uninstall scipy and drop back to the latest
0.4.9 version and had no luck.  Does anyone know what I can do to fix this
error?

When pylab tries to call numerix\__init__.py it is trying to figure out
whether to call numpy, numeric, or numarray.  Since it defaults to numeric
I've tried to change the default to numpy, and that returned no luck.


>>> from pylab import *
Traceback (most recent call last):
  File "<stdin>", line 1, in ?
  File "C:\PYTHON23\Lib\site-packages\pylab.py", line 1, in ?
    from matplotlib.pylab import *
  File "C:\PYTHON23\Lib\site-packages\matplotlib\pylab.py", line 196, in ?
    import cm
  File "C:\PYTHON23\Lib\site-packages\matplotlib\cm.py", line 5, in ?
    import colors
  File "C:\PYTHON23\Lib\site-packages\matplotlib\colors.py", line 33, in ?
    from numerix import array, arange, take, put, Float, Int, where, \
  File "c:\python23\lib\site-packages\matplotlib\numerix\__init__.py",
line 60,
in ?
    from Numeric import *
ImportError: No module named Numeric
>>>

>>>>> "marek" == marek  <md...@gm...> writes:

    marek> I need to make plots in which the axes and text labels
    marek> display in either English, Spanish, or Portuguese.

Does the unicode demo work for you?

http://matplotlib.sourceforge.net/examples/unicode_demo.py

JDH

>>>>> "Daniel" == Daniel Poelzleithner <po...@po...> writes:

    Daniel> Hi, I'm developing a websuite for open meshed networks
    Daniel> written in django. I must admit, matplotlib and such was
    Daniel> kinda hard stuff to step into. Most examples and
    Daniel> documentation is only based on the pylab api, which isn't
    Daniel> well suited for my purpos, because Django runs best with
    Daniel> mod-python.

There are a few resources

  http://matplotlib.sourceforge.net/faq.html#OO

and 

  http://matplotlib.sourceforge.net/leftwich_tut.txt

and Ken McIvorhas converted many of the pylab examples to OO style (link?)

See also

  http://matplotlib.sourceforge.net/examples/pythonic_matplotlib.py

and 

  http://matplotlib.sourceforge.net/examples/webapp_demo.py

    Daniel> Anyways. I'm wrote a function which generates tiles for
    Daniel> google maps and those should be overlayers with
    Daniel> transparent background.

    Daniel> My code currently looks like this:


    Daniel> from matplotlib.toolkits.basemap import Basemap from
    Daniel> matplotlib.backends.backend_agg import FigureCanvasAgg as
    Daniel> FigureCanvas from matplotlib.figure import Figure

    Daniel> [...]

    Daniel> def mktopo(ll_lng, ll_lat, ur_lng, ur_lat, aspect,
    Daniel> filename, state): """Generates atopo tile for given
    Daniel> latitude/longitude pairs""" dpi = 64 fig = Figure() canvas
    Daniel> = FigureCanvas(fig) # what does this do ???
    Daniel> #fig.set_facecolor((1.0,1.0,0,0.0))

To make the figure background transparent, do:

  fig.figurePatch.set_alpha(0.0)

You can set the alpha channel of any matplotlib artist (Text, Line2D,
Rectangle, etc.).  The two of most interest to you will be

  fig.figurePatch (a rectangle)

and 

  ax.axesPatch (ditto)

JDH
 

I need to make plots in which the axes and text labels display in
either English, Spanish, or Portuguese.

I have code that successfully adds the labels in English but when
using Spanish or Portuguese characters the labels show up mangled.

I then switched to trying to get the simple_plot.py example to work. Adding a:

# -*- coding: utf-8 -*-

to the top of the file and replacing the English text. Again with no success.

Has anyone had success in using matplotlib with unicode and
specifically the utf-8 encoding?

I am using the system in non-interactive mode with the Agg backend if
that could make a difference.

Any help is very appreciated!


--Marek

Alexander Michael wrote:
> On 8/3/06, *Steve Schmerler* <el...@gm... <mailto:el...@gm...>> 
> wrote:
> 
>     Hi all
> 
>     How can I change the default behavior of the tick labeling from say
> 
>     1  2   3   4  x1e-5
> 
>     to
> 
>     1e-5  2e-5  3e-5  4e-5 ?
> 
>     My thesis supervisor wants it that way :(
> 
>     cheers,
>     steve
> 
> 
> There is problably a better way, but onne way is to set  the label 
> formatter yourself:
> 
> import pylab
> import matplotlib
> 
> pylab.plot([1.0E-5,2.5E-5,3.0E-5], [1.0, 3.0, 2.0])
> 
> ax = pylab.gca()
> ax.xaxis.set_major_formatter(
>     matplotlib.ticker.FormatStrForm
> atter('%g'))
> 
> pylab.show()
> 
> You can craft an arbitrarily constructed string by using 
> matplotlib.ticker.FuncFormatter
>  instead of matplotlib.ticker.FormatStrFormatter.
> 
> Hope this helps,
> Alex
> 

Yes, after a look at the docs I found that FuncFormatter is what I
wanted. With the help of a little function (which I wrote some time ago)
that converts a float number into a raw string I can use FuncFormatter
straightforward (see attached file).

cheers,
steve

-- 
Random number generation is the art of producing pure gibberish as
quickly as possible.

Darren Dale wrote:
> On Thursday 03 August 2006 11:59, Alexander Michael wrote:
>> On 8/3/06, Steve Schmerler <el...@gm...> wrote:
>>> Hi all
>>>
>>> How can I change the default behavior of the tick labeling from say
>>>
>>> 1  2   3   4  x1e-5
>>>
>>> to
>>>
>>> 1e-5  2e-5  3e-5  4e-5 ?
>>>
>>> My thesis supervisor wants it that way :(
>>>
>>> cheers,
>>> steve
>> There is problably a better way, but onne way is to set  the label
>> formatter yourself:
>>
>> import pylab
>> import matplotlib
>>
>> pylab.plot([1.0E-5,2.5E-5,3.0E-5], [1.0, 3.0, 2.0])
>>
>> ax = pylab.gca()
>> ax.xaxis.set_major_formatter(
>>     matplotlib.ticker.FormatStrFormatter('%g'))
> 
> Use OldScalarFormatter instead.
> 

OK, I'll try that one too ...

Thanks.


-- 
Random number generation is the art of producing pure gibberish as
quickly as possible.

On Thursday 03 August 2006 11:59, Alexander Michael wrote:
> On 8/3/06, Steve Schmerler <el...@gm...> wrote:
> > Hi all
> >
> > How can I change the default behavior of the tick labeling from say
> >
> > 1  2   3   4  x1e-5
> >
> > to
> >
> > 1e-5  2e-5  3e-5  4e-5 ?
> >
> > My thesis supervisor wants it that way :(
> >
> > cheers,
> > steve
>
> There is problably a better way, but onne way is to set  the label
> formatter yourself:
>
> import pylab
> import matplotlib
>
> pylab.plot([1.0E-5,2.5E-5,3.0E-5], [1.0, 3.0, 2.0])
>
> ax = pylab.gca()
> ax.xaxis.set_major_formatter(
>     matplotlib.ticker.FormatStrFormatter('%g'))

Use OldScalarFormatter instead.

On 8/3/06, Steve Schmerler <el...@gm...> wrote:
>
> Hi all
>
> How can I change the default behavior of the tick labeling from say
>
> 1  2   3   4  x1e-5
>
> to
>
> 1e-5  2e-5  3e-5  4e-5 ?
>
> My thesis supervisor wants it that way :(
>
> cheers,
> steve
>

There is problably a better way, but onne way is to set  the label formatter
yourself:

import pylab
import matplotlib

pylab.plot([1.0E-5,2.5E-5,3.0E-5], [1.0, 3.0, 2.0])

ax = pylab.gca()
ax.xaxis.set_major_formatter(
    matplotlib.ticker.FormatStrFormatter('%g'))

pylab.show()

You can craft an arbitrarily constructed string by using
matplotlib.ticker.FuncFormatter
 instead of matplotlib.ticker.FormatStrFormatter.

Hope this helps,
Alex

Hi all

How can I change the default behavior of the tick labeling from say

1  2   3   4  x1e-5

to

1e-5  2e-5  3e-5  4e-5 ?

My thesis supervisor wants it that way :(

cheers,
steve

-- 
Random number generation is the art of producing pure gibberish as 
quickly as possible.

Daniel Poelzleithner writes:

 > I'm developing a websuite for open meshed networks written in django. I
 > must admit, matplotlib and such was kinda hard stuff to step into. Most
 > examples and documentation is only based on the pylab api, which isn't
 > well suited for my purpos, because Django runs best with
 > mod-python.

Note Part II of this nice tutorial by Andrew Dalke:

http://www.dalkescientific.com/writings/diary/archive/2005/04/23/matplotlib_without_gui.html

Regards, Phil Austin

-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1

Hi,

I'm developing a websuite for open meshed networks written in django. I
must admit, matplotlib and such was kinda hard stuff to step into. Most
examples and documentation is only based on the pylab api, which isn't
well suited for my purpos, because Django runs best with mod-python.

Anyways. I'm wrote a function which generates tiles for google maps and
those should be overlayers with transparent background.

My code currently looks like this:


from matplotlib.toolkits.basemap import Basemap
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure

[...]

def mktopo(ll_lng, ll_lat, ur_lng, ur_lat, aspect, filename, state):
    """Generates atopo tile for given latitude/longitude pairs"""
    dpi = 64
    fig = Figure()
    canvas = FigureCanvas(fig)
    # what does this do ???
    #fig.set_facecolor((1.0,1.0,0,0.0))

    m =
Basemap(llcrnrlon=ll_lng,llcrnrlat=ll_lat,urcrnrlon=ur_lng,urcrnrlat=ur_lat,
        resolution='c',area_thresh=1000.,projection='merc',lat_ts=-8.0)

    m.ax = fig.add_axes([0, 0, 1, 1], axisbg=(1.0,1.0,0.0,0.0),
frameon=False )
    # 72 dpi
    # we need 256x256 pixel images
    fig.set_figsize_inches(256/dpi, 256/dpi)

    nodes = Node.objects.exclude(gps_position_lat=False)
    lats=[]
    lons=[]
    for node in nodes:
        lons.append(node.gps_position_lng)
        lats.append(node.gps_position_lat)
        #print node
        #a = m(node.gps_position_lat,node.gps_position_lng)
        #print a
    x,y = m(lons,lats)

    m.plot(x,y,'bo')
    canvas.print_figure(filename, dpi=dpi)


kindly regards
   Daniel
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