Hi again,
if you did not receive the attachement of my previous email, the files are here:
https://docs.google.com/folder/d/0B8qBHKNhZAipZ2pnS0ViTUZBdXM/edit?usp=sharing
The log of the simplest non-rendering formula:
.. math::
\begin{array}{c}
{\Psi}^{L} \\
{\Psi}^{S}
\end{array}
is as f
The first issue is a bug, and I opened a PR that fixes this.
https://github.com/matplotlib/matplotlib/pull/1864
In the comments of the PR, you can find a workaround.
Regards,
-JJ
On Wed, Mar 27, 2013 at 11:09 PM, Hackstein wrote:
> Sterling,
>
> I'm using matplotlib version 1.2.0 with agg
Yeah,
when I used my officemate's computer (matplotlib 1.1.1) it works
fine... I am running...
In [129]: import matplotlib
In [130]: matplotlib.__version__
Out[130]: '1.2.x'
Interesting...
Steven
On Wed Mar 27 16:29:53 2013, ChaoYue wrote:
> when saving as jpg, I cannot reproduce the problem
when saving as jpg, I cannot reproduce the problem.
I am using version 1.2
Chao
On Wed, Mar 27, 2013 at 10:16 PM, Steven Boada [via matplotlib] <
ml-node+s1069221n40764...@n5.nabble.com> wrote:
> Hey List,
>
> If you create a horizontal line, and then adjust the size of the figure,
> or axis lim
Hey Sayan,
Here is the manual page:
http://docs.scipy.org/doc/numpy/reference/generated/numpy.genfromtxt.html
It works (basically) the same as loadtxt, but it is more flexible when
there are holes in your data.
Good luck.
Steven
On Wed Mar 27 10:07:10 2013, Sayan Chatterjee wrote:
> Hi Steve
Hey List,
If you create a horizontal line, and then adjust the size of the figure,
or axis limits the horizontal line does not move with everything else...
To reproduce in ipython -pylab:
axhline(5)
yscale('log')
ylim(0.5,30)
The line stays where it started and is not moved when the plot is
Dear experts,
in our sphinx-based project documentation (www.diracprogram.org) we have a
complicated latex math formula, which is not rendered:
/usr/lib/pymodules/python2.7/matplotlib/sphinxext/mathmpl.py:56: Warning: Could
not render math expression $i \hbar \frac{\partial}{\partial t} \left(
I'm pleased to announce the release of matplotlib 1.2.1. This is a bug
release and improves stability and quality over the 1.2.0 release from
four months ago. All users on 1.2.0 are encouraged to upgrade.
Since github no longer provides download hosting, our tarballs and
binaries are back on
Frix,
I get the same error for your first example with v1.1.1 [although I had to
comment out the med_r = np.median(x_r) to get it to run]. You should probably
file a bug at [1].
I get the same result for your yaxis. You need to change the formatter to
ax.yaxis.set_major_formatter(plt.Scalar
Hi Steven,
I am a newbie to Python and hence Matplotlib. I cannot get your point
properly. Could you please redirect me to a page where the usage is
demonstrated?
As I can see, you're a doctoral student in Physics, it might be worthwhile
to tell you that I'm trying to code a Zeldovich Approximat
Another, slightly more flexible, option is the genfromtxt function,
also in numpy. Normally you should try genfromtxt after loadtxt doesn't
work. Or, that is my normal method.
Steven
On Wed Mar 27 07:16:45 2013, Sayan Chatterjee wrote:
> Thank you very much for your prompt reply.
>
> Florian,
Sterling,
I'm using matplotlib version 1.2.0 with agg backend.
Here are two code examples, one for each problem. The first one doesn't save
the figure due to the legend problem, seterr causes the script to stop with an
error at that position.
The second example shows the scientific labels on th
On Wed, Mar 27, 2013 at 1:03 AM, Gökhan Sever wrote:
> Hello,
>
> Aren't these two log scaling calls supposed to be performing the same
> action?
>
> Here is a simple script tested in ipython --pylab
>
> fig = plt.figure(figsize=(5, 5))
> ax1 = fig.add_subplot(1,1,1)
> ax1.plot(np.random.randn(10
I'm pleased to announce the release of matplotlib 1.2.1. This is a bug
release and improves stability and quality over the 1.2.0 release from
four months ago. All users on 1.2.0 are encouraged to upgrade.
Since github no longer provides download hosting, our tarballs and
binaries are back on
On Wed, 27 Mar 2013 14:02:58 +0530
Sayan Chatterjee wrote:
> I'm new to Matplotlib. It might be a silly question, how does one plot
> data(not functions) in Matplotlib.
Besides the solution given in the first reply, you may also check
https://github.com/dmcdougall/mpl_binutils
Regards
Alex
--
Thank you very much for your prompt reply.
Florian, your reply seems to be the answer to my question. I'll try it
out. If can't figure out,I'll get back to you.
On 27 March 2013 15:37, Florian M. Wagner wrote:
> Hey Sayan,
>
> for reading in simple ASCII-Files containing your two arrays you
Hey Sayan,
for reading in simple ASCII-Files containing your two arrays you should
have a look at the numpy.loadtxt function.
Scatter plots in matplotlib are then easily created as shown here
http://matplotlib.org/examples/pylab_examples/scatter_demo.html
For your purpose you can do somethi
Dear All,
I'm new to Matplotlib. It might be a silly question, how does one plot
data(not functions) in Matplotlib.
How:
1)Two arrays (X and Y) can be plotted in a scatter diagram?
2) or a number of data files can used to produce different plots having
different(sequential) name?
Thanks in anti
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