All the pandas plots that I've used take an axes keyword so try:
c = corrplot.Corrplot(df, ax=ax1)
or
c = corrplot.Corrplot(df, axes=ax1)
Do either of those work?
On Fri, Mar 13, 2015 at 2:04 PM, Paul Hobson wrote:
> What's the function signature of corrplot.CorrPlot? Hopefully you can pass
That's pretty swag!
On Tue, Mar 10, 2015 at 11:49 AM, Benjamin Root wrote:
> +1000!!
>
> Great job! Would you mind if I clean it up a bit and add it to the
> mplot3d/animation gallery? Full credit, of course.
>
>
> On Tue, Mar 10, 2015 at 11:30 AM, Prahas David Nafissian <
> prahas.mu...@gmail.c
Thanks!
On Nov 7, 2014 3:39 PM, "Thomas Caswell" wrote:
> Take a look at matplotlib.cbook.get_sample_data.
>
> That said, I don't think an _axes_ object should have such a function and
> axes3d.get_test_data() should be removed.
>
> Tom
>
> On Thu Nov 06 2
I use a config file in ipython notebooks that sets some parameters of the
ipython notebook and then sets the matplotlib defaults.
http://nbviewer.ipython.org/github/hugadams/pyuvvis/blob/master/examples/Notebooks/NBCONFIG.ipynb
Then I use in all subsequent analysis in the ipython notebook:
http:
Hi,
I recently noticed the method:
axes3d.get_test_data()
I was curious if other test/sample data is available somewhere in
matplotlib, for demo purposes? Or if this is the only sample dataset in
the library? Not just for 3dplots but for any plot type... Sorry if I'm
overlooking the obvio
I wrote a program that draws grids manually on mpl plots a while back. If
you can't find a solution can you write back here and I'll try to get that
dusted off?
On Oct 21, 2014 2:39 PM, "Benjamin Root" wrote:
> Well, the first part is easy... it is called twinx(). If you look up axis
> twinning
Instead of learning VTK, you may find it easier to start with Mayavi 2
(written on VTK).
On Wed, Oct 1, 2014 at 2:27 PM, Fabrice C.
wrote:
> Dear Ben,
>
> Thank you for the explanation. Too bad mplot3d cannot display textured
> polygons.
> I did have a look at glumpy and it does part of what I
https://github.com/matplotlib/matplotlib/issues/3562
On Wed, Sep 24, 2014 at 6:17 PM, Adam Hughes wrote:
> Agreed. I will do so, thanks. If you are able to figure it out, I would
> be super grateful. I must have spend 5 hours beating my head over this...
>
> I'll fill it ou
end a free moment on it.
>
> Ben Root
>
> On Wed, Sep 24, 2014 at 8:43 PM, Adam Hughes
> wrote:
>
>> Hi,
>>
>> I'm following up on an answered stack overflow thread:
>>
>>
>> http://stackoverflow.com/questions/24909256/how-to-obtain-
x27;3d'))
> >>> ax.name
> '3d'
>
>
> You can do this with any axes type, such as polar axes and such.
>
> Cheers!
> Ben Root
>
>
> On Tue, Sep 23, 2014 at 3:26 PM, Adam Hughes
> wrote:
>
>> Hello,
>>
>> Is it possibl
Hi,
I'm following up on an answered stack overflow thread:
http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556
They show how to create a colormap for a wireframe plot. I noticed that
this solution fails when the X and Y data are not the same
Hi,
Sorry for all of these left-field questions. We are trying to develop some
custom functionality for a spectroscopy program...
Given a 3d surface plot, matplotlib makes it easy to add contours along the
projections of the plot.
http://matplotlib.org/1.3.1/mpl_toolkits/mplot3d/tutorial.html#d
Hello,
Is it possible to inspect an AxesSubplot object and infer if it is using a
3d projection or not? Couldn't figure it out directly from the API.
Thanks
--
Meet PCI DSS 3.0 Compliance Requirements with EventLog Analy
gs were fixed for v1.4.0, but there were
> a few additional bugs that are going into the upcoming v1.4.1 release.
>
> Cheers!
> Ben Root
>
> On Mon, Sep 22, 2014 at 12:29 PM, Adam Hughes
> wrote:
>
>> Thanks benjamin. Not sure how I overlooked this!
>>
>> Y
, Benjamin Root wrote:
> I think you can just set the linewidth to zero like in these examples:
>
> http://matplotlib.org/examples/mplot3d/surface3d_demo.html
> http://matplotlib.org/examples/mplot3d/surface3d_demo3.html
>
> Cheers!
> Ben Root
>
> On Sat, Sep 20, 2014 at 7:4
On Sat, Sep 20, 2014 at 7:31 PM, Adam Hughes wrote:
> Hi,
>
> I was using wireframe to plot my spectroscopy data, and noticed if I
> choose a large R-stride, I somewhat unexpectedly get this really helpful
> evenly spaced spectral plot (attached).
>
> The only issue is that
This will clear the figure:
plt.clf()
Is this what you're looking for, or just to pop one plot form the stack?
On Fri, Apr 18, 2014 at 6:21 PM, Michael Mossey wrote:
> Sorry for what is a beginnerish question but I'm having a hard time using
> the docs. I want to remove a previous plot from a
Hi Paul,
I tried out the legend proxy artist, and it works for rectangles in the
legend, but I can't seem to get a Circle to appear in the legend, which I
presume should be:
p = Circle((0, 0), fc="r")
legend([p], ["Red Rectangle"])
On Wed, Apr 9, 2014 at 2:20 PM, Adam
Thanks Paul, I will try it out.
On Wed, Apr 9, 2014 at 12:21 PM, Paul Hobson wrote:
>
>
>
> On Wed, Apr 9, 2014 at 9:00 AM, Adam Hughes wrote:
>
>> Thanks. That's probably the way I'll go. At first, I thought creating
>> separate legend markers and rem
sts.sourceforge.net/msg25200.html
>
> On Apr 8, 2014, at 3:44PM, Adam Hughes wrote:
>
> > Hello,
> >
> > I've been searching but can't seem to find this topic addressed (perhaps
> wrong search terms)
> >
> > Simply put, I have a scatter plot with v
Hello,
I've been searching but can't seem to find this topic addressed (perhaps
wrong search terms)
Simply put, I have a scatter plot with variable size markers, and I'd like
to have the markers all be a single size in the legend. Is there a
standard way to do this?
Thanks.
Hi,
I am using an IPython notebook style that has a soft, yellow background
that I think is more appealing that white. When I make a plot, I'd like
the background of the plot (ie, everything that is outside the x and y
axis) to be the same color. I'm trying to change the figure.facecolor
paramet
at 3:07 PM, Andreas Hilboll wrote:
> On 05.03.2014 20:56, Adam Hughes wrote:> Hi,
> >
> > I am making a stacked histogram where one must enter the desired colors
> > together in a list/array when the histogram is called. For certain
> > objects in my code, it's
t.append(c)
c = axfoo._get_lines.color_cycle.next()
# Reset colorcycle
for i in range(len(clist) -1):
axfoo._get_lines.color_cycle.next()
return clist
On Wed, Mar 5, 2014 at 2:56 PM, Adam Hughes wrote:
> Hi,
>
> I am making a stacked histogram where one mus
Hi,
I am making a stacked histogram where one must enter the desired colors
together in a list/array when the histogram is called. For certain objects
in my code, it's helpful to assign a color to them, so that they are
immediately identified across various plots. Therefore, I essentially want
t
Sorry, it seems that I didn't have dvipng installed correctly!
On Fri, Feb 28, 2014 at 2:53 PM, Adam Hughes wrote:
> Hi,
>
> In an IPython notebook, I've changed several setting in both the
> notebook's style and the plotting style. I noticed that when I change
Hi,
In an IPython notebook, I've changed several setting in both the notebook's
style and the plotting style. I noticed that when I change the usetex
option in the rcparams:
*rcParams['text.usetex'] = True *
Then I add an integral sign as text to a plot (either title or axis label)
*plt.title(
I'm wondering if the matplotlib API is designed in such a way that choosing
a color schema could be done at import time. I know that the entire plot
style can be changed in one call (eg put plt.xkcd() at the beginning of
your code), so I wander if colorblind-compatible colors could be loaded in
a
arty" and I'll share it pretty soon with the
scikit image mailing list. If I am able to get the patches built it, would
anyone mind if I share it with the matplotlib list as well?
Thanks
On Tue, Jan 7, 2014 at 4:10 PM, Joe Kington wrote:
>
>
>
> On Tue, Jan 7, 2014 at 2:29
keep the geometry (ie line --> mpatch.Line) unless anyone has any better
suggestions.
Thanks!
On Tue, Jan 7, 2014 at 3:08 PM, Adam Hughes wrote:
> Hi,
>
> I am working on a library for image analysis which stores particles as
> indexed numpy arrays and provides functional
Hi,
I am working on a library for image analysis which stores particles as
indexed numpy arrays and provides functionality for managing the particles
beyond merely image masking or altering the arrays directly. I've already
designed classes for many common shapes including Lines/Curves,
Circles/E
31 matches
Mail list logo
