"v_C(Value_Cond,
> Treatment('Neutral'))[T.Loss]"], 'node']
> #hddm.analyze.plot_posterior_nodes([v_Neutral, v_Win, v_Loss])
> hddm.analyze.plot_posterior_nodes([float(v_Neutral), float(v_Win),
> float(v_Loss)])
> plt.xlabel('drift-rate'
Hi Juan,
Could you post a minimal code to reproduce your issue?
Shawn
On Wed, Jun 3, 2015 at 2:03 PM, Juan Wu wrote:
> Hi, List experts,
>
> Any one can help for this error solution? I googled but did not find this
> report.
>
> Thanks in adance...
>
>
> Traceback (most recent call last):
>
>
eon'] = False
mpl.rcParams['legend.fontsize'] = 8
mpl.rcParams['legend.handlelength'] = 3
# Subplot frame line
mpl.rcParams['axes.linewidth'] = .5
I would be happy to know if there's a better/different way to do it.
Shawn
On Tue, May 19, 2015 at 5:49 PM,
Are you using IPython QtConsole / Notebook? I think they have their
own settings on their backend.
Shawn
On Tue, May 19, 2015 at 11:01 AM, mato wrote:
> I want to change the look of the default plots in Python, so I created the
> file matplotlibrc in the current working directory (Windows 7). Th
Typo - "standard deviation OR standard error of mean", not "OF".
Sorry.
Shawn
On Tue, Apr 7, 2015 at 10:39 AM, Yuxiang Wang wrote:
> If you error bars denote standard deviation of standard error of mean,
> shouldn't they be non-symmetric in log scale?
>
>
If you error bars denote standard deviation of standard error of mean,
shouldn't they be non-symmetric in log scale?
Shawn
On Tue, Apr 7, 2015 at 10:11 AM, Markus Haider wrote:
> Hi,
>
> I am trying to make an errorbar plot with a logarithmic x-axis. I have
> symmetric errors in logspace, howeve
Dear all,
I have tried both latest Anaconda and WinPython in Windows 7, 64-bit
system, with Python 3.4 64-bit, and both run into this issue:
1) Open up a new IPython QtConsole (version 3.0.0), and make sure
matplotlib version is 1.4.3
2) It doesn't matter which backend you are using. Do:
```pytho
Hi Marin,
+1 for the idea of specific papers. For example, all PLOS require the
same figure format and I have my own config file. I'd be more than
happy to dig into it and try my best to contribute.
Shawn
On Wed, Mar 4, 2015 at 4:27 PM, Marin GILLES wrote:
> Le 04/03/2015 06:21, Tony Yu a écrit
+1 - that's really great news!
-Shawn
On Wed, Jan 21, 2015 at 2:36 PM, Nicolas P. Rougier
wrote:
>
> +1. Great news.
>
> Nicolas.
>
>> On 21 Jan 2015, at 20:22, Chris Barker wrote:
>>
>> +1 -- sounds great!
>>
>>
>>
>> On Tue, Jan 20, 2015 at 7:48 AM, Michael Droettboom wrote:
>> Matplotlib
>>
Hi Eric,
Thank you for your very clear explanation.
-Shawn
On Mon, May 12, 2014 at 3:23 AM, Eric Firing wrote:
> On 2014/05/11 7:56 PM, Yuxiang Wang wrote:
>> Dear all,
>>
>> I am curious that whether this is possible in matplotlib:
>>
>> I first c
Dear all,
I am curious that whether this is possible in matplotlib:
I first create some figures, with subplots.
import matplotlib.pyplot as plt
fig1, axs1 = plt.subplots(2, 2)
fig2, axs2 = plt.subplots(2, 2)
And then, could I recombine them, so fig3 is composed of the first row
in fig1 (i.e., a
Dear all,
I was wondering that, is there a method like axes.set_sharex(ax0) so I
can directly set the sharex and sharey properties of an axes object?
It seems that the only way to do this is at time of creation via
fig.add_subplots(1, 2, 2, sharex=ax0). If I have already created the
axes using the
Hi Neal,
I always followed what has been written here:
http://matplotlib.org/faq/usage_faq.html#matplotlib-pylab-and-pyplot-how-are-they-related
And they said,
--
Matplotlib, pylab, and pyplot: how are they related?
Matplotlib is the whole package; pylab is a module in matplotl
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