matplotlib-users Mailing List for matplotlib

Try changing the line
from matplotlib.toolkits.basemap import Basemap
to
from mpl_toolkits.basemap import Basemap
- Christoph

Hi all,
Here's what I get:
 File "F:\demo.py", line 34, in <module>
 from matplotlib.toolkits.basemap import Basemap
ImportError: No module named toolkits.basemap
I'm on a brand new python 2.6 install on windows. I then installed numpy 1.3
for 2.6, matplotlib .99.1 for 2.6, then basemap .99.4 for 2.6, all from
their binary executable forms. Then I ran
http://en.literateprograms.org/Drawing_on_map_projections_%28Python%29 and
got the above error.
Searching for this error I've found possible problems with dependencies,
which were to be fixed by .99, and problems with .egg installations missing
vital components, but I installed everything from .exes. Ideas? FYI I'm new
to python.
Thanks

You are welcome. My response to your 2nd question is still unknown, also I
have another question. Anyone knows how to achieve that?
Thanks.
2- I would like to have a grid not only for 10^2, 10^3, 10^4, 10^5 ... but
> also for the minor axis ticks. is it possible ?
>
You can use plt.yticks() to get new ticks as well as grids. Do you know how
to make ticklabels like 5x10^2 etc...? This I couldn't figure yet.
On Wed, Sep 16, 2009 at 2:25 PM, Gökhan Sever <gok...@gm...> wrote:
>
>
> On Tue, Sep 15, 2009 at 1:24 AM, redrum <jva...@ho...> wrote:
>
>>
>> Hi,
>>
>> I have a few questions about the loglog plot :
>>
>> 1- Is there a way to a have axis format with real numbers rather than
>> numbers with exponent ?
>>
>>
> import matplotlib.pyplot as plt
> ax1 = plt.gca()
> ax1.yaxis.set_major_formatter(ticker.FormatStrFormatter("%.2f"))
>
> You can check formatting options from
> http://docs.python.org/library/stdtypes.html#string-formatting-operations
>
>
>
>
>> 2- I would like to have a grid not only for 10^2, 10^3, 10^4, 10^5 ... but
>> also for the minor axis ticks. is it possible ?
>>
>
> You can use plt.yticks() to get new ticks as well as grids. Do you know how
> to make ticklabels like 5x10^2 etc...? This I couldn't figure yet.
>
>
>
>> 3- I use loglog to plot parallel lines. How can I have the function label
>> directly displaid next to the plotted straight lines ?
>>
>> Thanks for your tips.
>>
>
> plt.text and some fine-tuning?
>
> --
> Gökhan
>
-- 
Gökhan

Thanks Gökhan. It helped.
-- 
View this message in context: http://www.nabble.com/loglog-plot-tp25448633p25729540.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi there,
I'm currently trying to have my own navigation toolbar by deleting some
unuseful buttons.
Solutions given as follows is working for wxpython but not for pygtk since
DeleteToolByPos cannot be found :
http://www.nabble.com/Navigation-toolbar-w-o-subplot-configuration-button-td18747977.html
Has anyone ever tried to edit navigation toolbar with a pygtk-based
algorithm and could share his experience ?
Regards,
-- 
View this message in context: http://www.nabble.com/Navigation-toolbar-edit-for-pygtk-based-algorithm-tp25729532p25729532.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Dear Buz,
You could try with the MacOSX native backend:
>>> import matplotlib
>>> matplotlib.use("MacOSX")
>>> from pylab import *
>>> text(0.2,0.2,"some text",fontname='Times-Roman')
>>> text(0.2,0.7,"some other text",fontname='Helvetica')
I'm not sure if the MacOSX native backend is included in fink's distribution, though.
--Michiel.
--- On Fri, 10/2/09, Buz Barstow <bu...@ma...> wrote:
> From: Buz Barstow <bu...@ma...>
> Subject: [Matplotlib-users] Getting Matplotlib to Recognize OSX Fonts
> To: "matplotlib-users" <mat...@li...>
> Date: Friday, October 2, 2009, 1:59 PM
> Dear All,
> 
> I'm trying to get matplotlib to use some of my MacOSX fonts
> (Helvetica 
> and Times) so that I can produce plots with these two
> fonts.
> 
> I'm using matplotlib installed with fink on MacOSX 10.5.8,
> and using 
> XQuartz 2.4.0.
> 
> Has anyone tried to do this, and can they point me to a
> procedure to 
> make matplotlib find these fonts?
> 
> Thanks! and all the best,
> 
> --Buz
> 
> 
> 
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Il giorno 30 set 09, alle ore 17.01, Jouni K. Seppänen ha scritto:
> If you do
>
> matplotlib.rcParams['text.latex.preamble'] = [r'\usepackage 
> {lucidabr}']
>
> does it start working?
	I eventually managed to get it work; thanks for your help !
	For the record:
'text.latex.preamble': [r'\usepackage[T1]{fontenc}', r'\usepackage 
{lucidabr}']
Ciao
~m

> From: Christopher Barrington-Leigh 
> [mailto:cpb...@gm...] 
> Sent: Sunday, September 27, 2009 21:58
> 
> Hello. My problem is as follows:
> (ipython --pylab)
> 
> from pylab import *
> pp=plot([0,0],[1,1])
> text(xlim()[0],1,' Need padding ',horizontalalignment='left')
> text(xlim()[1],1,' Need padding ',horizontalalignment='right')
> 
> 
> The second case does not do what I want, which is to pad the 
> text on the right. Text strings are stripped on the right, 
> but no on the left. How can I elegantly create a character of space?
Sorry to be chiming in somewhat late in the discussion, but below is a method
for padding that uses transforms instead of characters. It's based on a bit
of code in the cla() method of the Axes class. The helper functions
facilitate padding relative to data or axes coordinates, and the padding is
expressed in physical length units. (I picked inches just because the figure
dimensions are managed in inches.)
------------
import matplotlib.pyplot as plt
import matplotlib.transforms as transforms
def padded_data_transform(axes, xPadInches, yPadInches):
 return axes.transData + transforms.ScaledTranslation(xPadInches, 
 yPadInches, axes.figure.dpi_scale_trans)
def padded_axes_transform(axes, xPadInches, yPadInches):
 return axes.transAxes + transforms.ScaledTranslation(xPadInches, 
 yPadInches, axes.figure.dpi_scale_trans)
plt.plot([0], [1], '+')
ax = plt.gca()
plt.text(0, 1, '12 pt right of (0, 1)', 
 horizontalalignment='left', verticalalignment='center', 
 transform=padded_data_transform(ax, 12 / 72.0, 0))
plt.text(0, 1, '12 pt left of (0, 1)', 
 horizontalalignment='right', verticalalignment='center', 
 transform=padded_data_transform(ax, -12 / 72.0, 0))
plt.text(0, 0, '0.5 in right of lower left', 
 horizontalalignment='left', verticalalignment='bottom', 
 transform=padded_axes_transform(ax, 0.5, 0))
plt.text(1, 1, '0.5 in left of upper right', 
 horizontalalignment='right', verticalalignment='top', 
 transform=padded_axes_transform(ax, -0.5, 0))
------------