matplotlib-users Mailing List for matplotlib (Page 5)

Adam,
I haven't investigated, but does the discussion of the legend marker at [1] help?
-Sterling
[1] https://www.mail-archive.com/mat...@li.../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 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.
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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.

Which version of matplotlib are you using? There used to be some issues
with this, but I could have sworn I resolved this a while back.
Ben Root
On Mon, Apr 7, 2014 at 2:40 PM, Emilia Petrisor
<emi...@gm...>wrote:
> Dear all,
>
>
> I want to visualize the image through the stereographic projection (that
> maps
> the extended complex plane to the unit sphere), of a circle and a line
> from the plane.
>
> I imported:
>
> import numpy as np
> import matplotlib.pyplot as plt
> from mpl_toolkits.mplot3d import Axes3D
>
> fig = plt.figure()
> ax = fig.add_subplot(111, projection='3d')
>
> If I plot only the the sphere and a circle in the plane xoy and set:
>
> ax.set_aspect('equal')
>
> all is OK, but inserting one more plot for the image of the circle onto
> the sphere,
> the aspect is changed and the sphere is displayed as an ellipsoid.
>
> My question is: how could I lock the aspect in order to keep the geometry
> of the sphere?
>
> Thanks,
>
> Em
>
>
>
>
>
>
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Hi list!
Has anybody ported the example at,
http://matplotlib.org/examples/user_interfaces/mpl_with_glade.html
to the new versions of GTK (3.10) and Glade (3.16) yet?
It would be really helpful to me to see a basic working example.
Thank you all!
-Tobias

Dear all,
I want to visualize the image through the stereographic projection (that
maps
the extended complex plane to the unit sphere), of a circle and a line from
the plane.
I imported:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
If I plot only the the sphere and a circle in the plane xoy and set:
ax.set_aspect('equal')
all is OK, but inserting one more plot for the image of the circle onto the
sphere,
the aspect is changed and the sphere is displayed as an ellipsoid.
My question is: how could I lock the aspect in order to keep the geometry
of the sphere?
Thanks,
Em

dear all, 
I get it.
I have only to set:
cm = matplotlib.cm.get_cmap()
and then I have again the default colormap 
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Dear all,
I am trying to plot different subplot with different colormap colors.
this is the first one, with colormap in red (YlOrRd):
cm = matplotlib.cm.get_cmap('*YlOrRd*')
sc=ax1.scatter(xp[::N],yp[::N], s=20, c=QA[::N],
marker='o',edgecolor='none',alpha=0.8,
 cmap=cm,
 vmin=vmin,vmax=vmax) 
How can set up again the default matplotlib colormap for the other. I do not
know the name of it.
thanks you all
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I tried to get the resizing working, but to no avail.
Without modifying your code, when you click on multiple squares, and then
resize, all the previously displayed squares are dawn, as if there was a
merge of all the previous blits...
Any idea ?
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This worked brilliantly! Thank you so much!
Secondary question now, is this:
I have a contourf and a polygon made with
ax.add_collection3d(a3.art3d.Poly3DCollection(verts, facecolors=[.5,.5,.5],
linewidths=1,edgecolor='k',zorder=0))
How do I change it so the contourf is on top of the polygon? By default it
seems to plot the polygon on top. I tried zorder but that did nothing.
Ta

Hi
thanks for the help, this is exactly what I needed. I updated the code in my
app and it worked.
Some minor observations though :
- This does not play well with tight_layout. I think tight_layout tries to
readjust the plots even after the singleShot call. So I needed to disable
it.
- I have plots in multiple tabs (in a QtGui.QTabWidget()). When moving from
one tab to another, I update the plots. I had to set the delay to 50 ms (on
faster computers the delay could be made smaller). 0 ms is too short in this
specific case and the copy_from_bbox will copy the background of the
previous tab.
- I have to work on the resizing of the window. I have to catch the
resizeEvent in the plot and update it to get a new fresh background. Don't
know what's the best solution for this.
Thanks very much for the singleShot trick, this was very helpful.
Michka
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So, you would like to plot a surface, and then have some slices through it?
Perhaps you are looking for something like this?
http://matplotlib.org/examples/mplot3d/contourf3d_demo2.html
In your case, I would use the contourf()'s "zdir" argument to set the
direction of the slice's normal vector, and the "offset" argument to set
the location of the slice. In this particular example, the three
contourf()'s were purposely placed on the edges of the axes, but they can
be placed anywhere you want them to be. You will need to supply contourf()
with the appropriate surface data to contour.
A word of caution. mplot3d's rendering is very crude. When you start to
intersect planes together, you will very likely get visual artifacts that I
tend to refer to as "Escher-like" in that they are physically impossible.
If you want true 3d volume rendering, then you may want to take a look at
glumpy or vis3d or mayavi2.
I hope that helps!
Ben Root
On Thu, Apr 3, 2014 at 12:50 AM, james <ja...@gm...> wrote:
> Hi All,
>
> I wish to make a 3d volume with a series of slices through it. I have X-Z
> data at 15 different Y planes. In MATLAB, I would make a pcolor plot, then
> set the Z data to the original ydata, and the Y data to a constant. This
> works fine.
>
> I would like to achieve a similar result in matplotlib, but I cannot figure
> out anyway to do it.
>
> Any help would be appreciated.
>
> James
>
>
>
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If I understand your intent well, then you want to make slices through a 3D
volume and show such slice planes.
I’ve always done this with the various functions of an Axes3D instance that
allow you to specify the slice position. On the matplotlib examples page,
there is a good example that showed me how to do what I wanted (even though
I only had a series of 1D data):
polys3d_demo<http://matplotlib.org/1.3.1/examples/mplot3d/polys3d_demo.html>
.
You could use the same technique with contourf, which is probably closer to
what you want. Have a look at this stackoverflow
question<https://stackoverflow.com/questions/15582105/python-plot-stacked-image-slices>.
I hope this helps.
2014年04月03日 6:50 GMT+02:00 james <ja...@gm...>:
> Hi All,
>
> I wish to make a 3d volume with a series of slices through it. I have X-Z
> data at 15 different Y planes. In MATLAB, I would make a pcolor plot, then
> set the Z data to the original ydata, and the Y data to a constant. This
> works fine.
>
> I would like to achieve a similar result in matplotlib, but I cannot figure
> out anyway to do it.
>
> Any help would be appreciated.
>
> James
>
>
>
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>
>
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>

Hi All,
I wish to make a 3d volume with a series of slices through it. I have X-Z
data at 15 different Y planes. In MATLAB, I would make a pcolor plot, then
set the Z data to the original ydata, and the Y data to a constant. This
works fine.
I would like to achieve a similar result in matplotlib, but I cannot figure
out anyway to do it.
Any help would be appreciated.
James

Hi All,
I wish to make a 3d volume with a series of slices through it. I have X-Z
data at 15 different Y planes. In MATLAB, I would make a pcolor plot, then
set the Z data to the original ydata, and the Y data to a constant. This
works fine.
I would like to achieve a similar result in matplotlib, but I cannot figure
out anyway to do it.
Any help would be appreciated.
James
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Hello,
I noticed that in the matplotlib source code in lib/matplotlib/rcsetup.py
there is a parameter called axes.formatter.useoffset that defaults to True.
However, in the documentation the example rc file doesn't include this
parameter, and if I try to use it I get the exception "Bad key
axes.formatter.useoffset".
I am constantly using ax.ticklabel_format(useoffset=False) to get at this
parameter and I would love to just have my rc file take care of it instead.
How can I do this? If I can't, then can this be added? Why is the parameter
listed in rcsetup.py but not in the example matplotlibrc?
Thanks,
Julian

I should have posted this question on the numpy list of course, even though
floor is imported with pylab.
Off-list, Felix pointed me to the following discussion where some of the
reasons are explained why a float is returned rather than an integer:
http://stackoverflow.com/questions/8582741/why-do-pythons-math-ceil-and-math-floor-operations-return-floats-instead-of
On Mon, Mar 31, 2014 at 5:05 PM, Mark Bakker <ma...@gm...> wrote:
> I expected that floor(x) would return an integer especially since the docs
> state:
>
> Return the floor of the input, element-wise.
>
>
> The floor of the scalar `x` is the largest integer `i`, such that
>
> `i <= x`. It is often denoted as :math:`\lfloor x \rfloor`.
>
>
> Any reason why it returns a float? Bug/feature?
>
>
> Thanks, Mark
>

Hi Michka,
I haven't practiced PyQt for some time, but I think I remember there is
a common practice of using a "0 ms" timer to launch a function after the
Gui setup.
I've modified your gist here :
https://gist.github.com/pierre-haessig/9909708
(for some reason the Github fork button printed "The change you wanted
was rejected.")
I don't know if it does what you want, but at least it doesn't move anymore.
best,
Pierre