matplotlib-users Mailing List for matplotlib (Page 11)

Hi,
you can explicitly set the yticks with that command:
pyplot.yticks([0.7771,0.7720,0.7773])
Typically you would pass something like arange(start,end,step) into the
yticks command.
This way you have full controll over the ticks. Documenation is here:
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.yticks
If you are developing with the pylab option the command above should work
without the pyplot prefix.
If you continue having problems then please enclose the code with data if
possible.
Best,
Simon
2011年10月2日 Tiger11 <lbo...@gm...>
>
> Hi,
>
> I'm developing a bar chart using matplotlib but my data is like 0.77776
> 0.77774 0.77771, is very important the decimal
>
> I got something like this
>
> http://old.nabble.com/file/p32577770/sca.png
>
> but i want 0.001 0.002 0.003 0.004 ... 0.101 istead of 0.1 0.2 0.3
>
> thanks for your help.
>
> P.S. I apologize for my bad english and my lack of expressiveness
>
>
> --
> View this message in context:
> http://old.nabble.com/resize-Y-scale-tp32577770p32577770.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
>
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===============================
SciPy 2011 India Call for Papers
===============================
The third `SciPy India Conference <http://scipy.in>`_ will be held
from December 4th through the 7th at the `Indian Institute of
Technology, Bombay (IITB) <http://www.iitb.ac.in/>`_ in Mumbai,
Maharashtra India.
At this conference, novel applications and breakthroughs made in the
pursuit of science using Python are presented. Attended by leading
figures from both academia and industry, it is an excellent
opportunity to experience the cutting edge of scientific software
development.
The conference is followed by two days of tutorials and a code sprint,
during which community experts provide training on several scientific
Python packages.
We invite you to take part by submitting a talk abstract on the
conference website at:
 http://scipy.in
Talk/Paper Submission
---------------------
We solicit talks and accompanying papers (either formal academic or
magazine-style articles) that discuss topics regarding scientific
computing using Python, including applications, teaching, development
and research. We welcome contributions from academia as well as
industry.
Keynote Speaker
---------------
Eric Jones will deliver the keynote address this year. Eric has a
broad background in engineering and software development and leads
Enthought's product engineering and software design. Prior to
co-founding Enthought, Eric worked with numerical electromagnetics and
genetic optimization in the Department of Electrical Engineering at
Duke University. He has taught numerous courses on the use of Python
for scientific computing and serves as a member of the Python Software
Foundation. He holds M.S. and Ph.D. degrees from Duke University in
electrical engineering and a B.S.E. in mechanical engineering from
Baylor University. Eric was the Keynote Speaker at SciPy US 2011.
Important Dates
---------------
October 26, 2011, Wednesday: Abstracts Due
October 31, 2011, Monday: Schedule announced
November 21, 2011, Monday: Proceedings paper submission due
December 4-5, 2011, Sunday-Monday: Conference
December 6-7 2011, Tuesday-Wednesday: Tutorials/Sprints
Organizers
----------
* Jarrod Millman, Neuroscience Institute, UC Berkeley, USA (Conference Co-Chair)
* Prabhu Ramachandran, Department of Aerospace Engineering, IIT
Bombay, India (Conference Co-Chair)
* FOSSEE Team

Hi,
I'm developing a bar chart using matplotlib but my data is like 0.77776
0.77774 0.77771, is very important the decimal
I got something like this
http://old.nabble.com/file/p32577770/sca.png 
but i want 0.001 0.002 0.003 0.004 ... 0.101 istead of 0.1 0.2 0.3
thanks for your help.
P.S. I apologize for my bad english and my lack of expressiveness
-- 
View this message in context: http://old.nabble.com/resize-Y-scale-tp32577770p32577770.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Dear all,
Just installed Python 2.7.2 on my Mac running OSX 10.6. Installed
numpy 1.6.1 and scipy 0.9.0 both from the dmg's downloaded from scipy.
Just tried to install matplotlib but there is no 64bit dmg available.
Tried installing from the egg instead, but that doesn't help.
Am getting
ImportError: dlopen(/Library/Python/2.7/site-packages/matplotlib-1.0.1_r0-py2.7-macosx-10.3-fat.egg/matplotlib/_path.so,
2): no suitable image found. Did find:
	/Library/Python/2.7/site-packages/matplotlib-1.0.1_r0-py2.7-macosx-10.3-fat.egg/matplotlib/_path.so:
no matching architecture in universal wrapper
Trying to build from source but failing desperately. Help, please?
Gavin

On Sat, Oct 1, 2011 at 10:51 AM, Holger Brandsmeier <
hol...@sa...> wrote:
> Dear list,
>
> a call to `axes.cla()` automacically generates axes labels +
> descriptions. If I then draw something with 3D axes, then I have two
> axes in one figure. How can I clear the eaxes without generating 2D
> tickz / labels etc?
>
>
> A simple example for this based on
> http://matplotlib.sourceforge.net/examples/mplot3d/wire3d_demo.html
> is (note the line marked with # <-------):
>
> from mpl_toolkits.mplot3d import axes3d
> import matplotlib.pyplot as plt
> import numpy as np
>
> fig = plt.figure()
> ax = fig.add_subplot(111, projection='3d')
> ax.cla() # <------------------------------------------------------
>
> X, Y, Z = axes3d.get_test_data(0.05)
> ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
>
> plt.ion()
> plt.show()
>
> -Holger
>
>
This problem appears to be fixed in the upcoming v1.1.0, which is expected
due to the major revamp work I did. Which version are you using, just to be
sure?
Ben Root

Dear list,
a call to `axes.cla()` automacically generates axes labels +
descriptions. If I then draw something with 3D axes, then I have two
axes in one figure. How can I clear the eaxes without generating 2D
tickz / labels etc?
A simple example for this based on
 http://matplotlib.sourceforge.net/examples/mplot3d/wire3d_demo.html
is (note the line marked with # <-------):
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.cla() # <------------------------------------------------------
X, Y, Z = axes3d.get_test_data(0.05)
ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
plt.ion()
plt.show()
-Holger