matplotlib-users Mailing List for matplotlib

Hi,
I've encountered what appears to be a bug in matplotlib-0.98.3
(Windows XP, Python 2.5). The following plot of a function with poles
displays garbage (large filled boxes instead of a curve). There's
large variation in the y values, but not so large that this shouldn't
be possible to plot correctly.
Is this problem known? Is there a workaround?
from pylab import *
x = [-2.97, -2.94, -2.91, -2.88, -2.85, -2.82, -2.79, -2.76, -2.73, -2.7,
-2.67, -2.64, -2.61, -2.58, -2.55, -2.52, -2.49, -2.46, -2.43, -2.4, -2.37,
-2.34, -2.31, -2.28, -2.25, -2.22, -2.19, -2.16, -2.13, -2.1, -2.07, -2.04,
-2.01, -1.98, -1.95, -1.92, -1.89, -1.86, -1.83, -1.8, -1.77, -1.74, -1.71,
-1.68, -1.65, -1.62, -1.59, -1.56, -1.53, -1.5, -1.47, -1.44, -1.41, -1.38,
-1.35, -1.32, -1.29,-1.26, -1.23, -1.2, -1.17, -1.14, -1.11, -1.08, -1.05,
-1.02, -0.99, -0.96, -0.93, -0.9, -0.87, -0.84, -0.81, -0.78, -0.75, -0.72,
-0.69, -0.66, -0.63, -0.6, -0.57, -0.54, -0.51, -0.48, -0.45, -0.42, -0.39,
-0.36, -0.33, -0.3, -0.27, -0.24, -0.21, -0.18, -0.15, -0.12, -0.09, -0.06,
-0.03]
y = [7.40742e+6, 462976.0, 91463.4, 28950.0, 11867.8, 5732.96, 3104.37,
1830.03, 1153.53, 768.963, 538.805, 395.968, 305.58, 248.666, 214.668,
197.843, 195.517, 207.33, 235.138, 283.525, 361.162, 483.641, 679.315,
1001.79, 1558.46, 2581.22, 4621.92, 9171.58, 21022.7, 60014.1, 249909.0,
2.34376e+6, 6.0e+8, 3.75e+7, 960013.0, 146498.0, 40995.2, 15633.9,7200.57,
3768.46, 2164.71, 1336.34, 875.104, 603.287, 436.34, 331.148, 264.559,
223.743, 201.613, 194.594, 201.594, 223.706, 264.503, 331.072, 436.244,
603.172, 874.968, 1336.19, 2164.53, 3768.26, 7200.35, 15633.7, 40994.9,
146498.0, 960013.0, 3.75e+7, 6.0e+8, 2.34376e+6, 249909.0, 60013.7,
21022.2, 9171.01, 4621.3, 2580.56, 1557.75, 1001.03, 678.491, 482.753,
360.205, 282.492, 234.022, 206.125, 194.213, 196.431, 213.137, 247.004,
303.774, 394.002, 536.66, 766.62, 1150.97, 1827.22, 3101.28, 5729.56,
11864.0, 28945.8, 91458.8, 462971.0, 7.40741e+6]
plot(x, y)
ylim([-40, 40])
show()
--
Fredrik

Hi,
What is the best way to get the pixels values in addition to the pixel 
numbers when moving the mouse on on imhow display?
It could be either on the fly (would be great) or on click.
"best way" here means that the code can be quite complex but that it 
should be as simple as imshow from the end user point of view.
I'm using TkAgg.
Xavier

Are there any more examples of matplotlib's new path functionality, in 
addition to the one in examples/api/path_patch_demo.py? Specifically, I 
would like an example of using compound paths to draw a donut-shape that 
shows the inner and outer edge and fills the donut with a color.
Thank you,
Paul

On Tue, Sep 2, 2008 at 5:04 AM, bernardo martins rocha
<ber...@me...> wrote:
> Hi Guys,
>
> I have some questions:
>
> 1. How can I zoom in the horizontal axis and maintain the vertical axis
> unchanged with the zoom tool provided by matplotlib?
Hold down the 'x' key while zooming to constrain the zoom to the
x-axis -- ditto for 'y'. This is covered at
http://matplotlib.sourceforge.net/doc/html/users/navigation_toolbar.html
> 2. How can I change the xticks so that they do not overlap each other?
> For instance, I have a plot in time, but since it's a huge simulation
> the time ticks 2000 3000 are overlapping, so that I cannot understand.
> Is it possible to change the units? Like 2 3 and then add 10^3 somewhere
> else? I hope you can understand my question...sorry if it's not clear.
You can set fewer ticks either by using your own date locator instance
(see the user's guide' chapter on tick locating and formatting) or by
setting the tick locations explicitly (eg, ax.set_xticks).
Another thing that can help is to rotate the tick labels -- with date
plots there is a helper function
 fig.autofmt_xdate()
which does this automatically. The basic code is
for label in ax.get_xticklabels():
 label.set_horizontalalignment('right')
 label.set_rotation(30)
JDH

Hi Guys,
I have some questions:
1. How can I zoom in the horizontal axis and maintain the vertical axis 
unchanged with the zoom tool provided by matplotlib?
2. How can I change the xticks so that they do not overlap each other? 
For instance, I have a plot in time, but since it's a huge simulation 
the time ticks 2000 3000 are overlapping, so that I cannot understand. 
Is it possible to change the units? Like 2 3 and then add 10^3 somewhere 
else? I hope you can understand my question...sorry if it's not clear.
Bernardo M. Rocha