On Wed, Jul 15, 2009 at 3:23 PM, Louise
Loudermilklouise.louderm...@gmail.com wrote:
Hi. I am trying to output multiple 2D graphs (subplots) in one figure
(using pylab) for each time-step that the python code runs - basically an
interactive graphs. We use the 'ion()' and 'imshow()' functions
Please post a simple, standalone script that reproduces your problem,
so that we can track down what is causing the problem. I don't think
there has been any report of a similar issue (but not sure). As far as
I know, autofmt_xdata only adjusts the alignment and rotation of the
ticklabels and does
Drawing box around a text is quite easy.
http://matplotlib.sourceforge.net/examples/pylab_examples/fancytextbox_demo.html
To place a text in a way like ticklabels, you need to use blended transform.
The short example may give you some starting point.
-JJ
from matplotlib.transforms import
I'm not an expert on this issue, and I never used Russian language.
But here is my experience with unicode in matplotlib.
Matplotlib's own font rendering engine (based on truetype) does
support unicode rendering. But I don't think there is any support for
things like a fontset. And, as far as
One work around is to call
self.figure.subplots_adjust()
after geometry changed. After this call, the twinx-ed axes will have
the same axes position as the original one.
Another option is to use mpl_toolkits.axes_grid
http://matplotlib.sourceforge.net/api/pyplot_api.html?highlight=errorbar#matplotlib.pyplot.errorbar
As described in the doc, the errorbar command creates lines and line
collections, where the errorbars are created as line collections.
Axes.collections contains the list of collection artist that
Check the gallery where a few example shows you how to draw arrows.
My recommendation is to use annotate with empty string.
e.g.,
annotate(, (1,2), xytext=(5,2), arrowprops=dict(fc=b))
http://matplotlib.sourceforge.net/api/pyplot_api.html?highlight=annotate#matplotlib.pyplot.annotate
However,
On Mon, Jul 13, 2009 at 4:56 PM, Uri Lasersonlaser...@mit.edu wrote:
Hi everyone,
I am trying to create some brand new types of plots for a unique data set
that I have. My question basically boils down to getting some advice on
what is the proper way to set up a function that will act like
Please post a standalone example that reproduces your problem.
I tried your example with some junk data but no such exception is raised.
However, there has been a report of a similar ordinal value problem
which I think is not fixed yet, but that problem only occurs when two
and more axes are
The number of points in scatter plot has other keyword argument
(scatterpoints). This is true for svn version, but I'm not quite sure
if it is also true for 0.98.5.2.
Anyhow, the documentation still needs to be updated.
Regards,
-JJ
On Sat, Jul 11, 2009 at 9:46 AM, John Hunterjdh2...@gmail.com
On Thu, Jul 9, 2009 at 12:40 AM, Gökhan SEVERgokhanse...@gmail.com wrote:
I have one tiny question left working on these figures; that is: how to make
mathtext font and a regular label font at the same size?
For instance:
host.set_ylabel(rDMT CCN Concentration [ #/$cm^3$])
but as it is
On Thu, Jul 9, 2009 at 7:24 AM, Robinrobi...@gmail.com wrote:
On Wed, Jul 8, 2009 at 10:57 PM, Jae-Joon Leelee.j.j...@gmail.com wrote:
If you use the svn version of matplotlib, you may use axes_grid toolkit.
axes_grid toolkit uses slightly customized version of axes and
different kind of artists are used to draw ticks and ticklabels, and
some of the commands from original mpl do not work.
But not changing fontsize and not showing up gridlines are things that
should be fixed (I'll work on these in a
Changing the properties of the individual grid line can be tricky.
The easier way in my opinion is to draw another line with thinker linewidth.
ax=subplot(111)
ax.grid()
from matplotlib.transforms import blended_transform_factory
# for x=0
trans = blended_transform_factory(ax.transData,
I'm using Mac OS 10.5.7, Python 2.6.2, and MPL 0.98.5.3.
I don't know which bug in the thread you were referring to. I tried the
for c in CS.collections: c.set_edgecolor(none)
fix, but it didn't have any effect.
On Thu, Jul 2, 2009 at 4:49 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote
I can reproduce the error with the svn version.
It seems that the problem is not SubplotHost specific, i.e., you have
same problem if you use mpl's original axes with twinx.
I think it has something to do with the axes sharing in general.
Preventing autoscale of xaxis suppress the error.
The dropbox link is broken (you need a public url).
What version of mpl and what backend are you using?
There was a similar problem which has now been fixed.
Try the work-around described in the thread below, and see if works.
http://www.nabble.com/problems-with-contourf---alpha-td22553269.html
yscale(log)
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.yscale
However the bars in the stem plot will be gone (because of the log 0).
It seems that there is no option for controling the baseline location
in the stem command.
However, the code for stem command is
A snippet of code does not help much.
Please try to post a small concise standalone example that we can run and test.
A general advise is to try to reduce the number of plot call, i.e.,
plot as may points as possible with a single plot call.
However, 50million points seems to be awful a lot.
6
().
The segfault happens in the _path_module::affine_transform method of
src/_path.cpp.
I wonder if you can reproduce this.
-JJ
Mike
On 07/01/2009 01:34 PM, Jae-Joon Lee wrote:
A snippet of code does not help much.
Please try to post a small concise standalone example that we can run
/2009 01:34 PM, Jae-Joon Lee wrote:
A snippet of code does not help much.
Please try to post a small concise standalone example that we can run and
test.
A general advise is to try to reduce the number of plot call, i.e.,
plot as may points as possible with a single plot call.
However
Yes, I can reproduce this with the current svn.
I think what's happening is that, with larger number of grid, there
is slight overlapping between each subplots (likely due to the
floating point error). Note that subplot command deletes existing axes
if they overlap with the new one.
There would
I think the issue here is to connect points in two different axes,
which is possible but can be a bit difficult.
In the svn version of matplotlib, there are some helper classes to
ease this job a bit.
I'm attaching the example.
I think you can also run the example with 0.98.5.3. Just download
sorry.
As guillaume has mentioned, you need to install mpl from svn.
Here is some workaround you can try. I guess it would work with 0.98.5.3.
Basically, you create a separate axes for a legend.
ax1 = axes([0.1, 0.2,0.8, 0.7])
p1, = ax1.plot([1,2,3])
p2, = ax1.plot([3,2,1])
ax2 = axes([0.1,
I guess you're providing an input data with a wrong shape.
aa = np.transpose([listA, listB, listC])
plt.hist(aa, bins=4, histtype='bar',
alpha=0.75,rwidth=0.85,label=['A','B','C'])
Regards,
-JJ
On Thu, Jun 25, 2009 at 1:37 AM, Uma Suma.sunde...@gmail.com wrote:
Hi,
I have the same
The linked page below shows how you put the legend above the graph.
http://matplotlib.sourceforge.net/users/plotting/legend.html#legend-location
You can put it below the axes by adjusting the bbox_to_anchor parameter.
Try something like
bbox_to_anchor=(0., -0.1, 1., -0.1), loc=1
Make sure to
I guess the stem plot is close to what you need.
http://matplotlib.sourceforge.net/examples/pylab_examples/stem_plot.html
Regards,
-JJ
On Wed, Jun 24, 2009 at 3:32 PM, Artgrenan...@gmail.com wrote:
Hi Eric,
I was thinking more like the tiny attachment (hope attachments are ok).
Tony,
My understanding is that (which might be wrong) drawing collections
involves (at least) 2 transforms. The first transform is (mostly) for
scaling, and the second transform is for offset. And this seems to be
true for PolygonCollection (which scatter creates) as far as I can
see.
Without actual code, it is difficult to figure out what the real problem is.
Anyhow, did you check the below animation example?
http://matplotlib.sourceforge.net/examples/animation/animation_blit_gtk.html
In the example, the grid is static (i.e., not animated). If what you
want is to have the
Thanks for the report.
And, this turned out to be a bug. The symbol style code was simply
ignored when its value is 3.
While the bug should now be fixed (both in the trunk and the maint.
branch), you may use marker style like (20,0,0) (or increase the first
number when symbol is large) for a
of each item is different there. The last item
is the symbol style, unlike the input parameter for scatter where the
second one is the symbol style. For example,
's' : (4,math.pi/4.0,0), # square
Regards,
-JJ
Thanks,
Tom
On Jun 21, 2009, at 2:59 PM, Jae-Joon Lee wrote:
Thanks
Hi,
You can try to manually adjust x-limits.
plt.xlim(dateList[0], dateList[-1])
However, manual adjustments will become a bit more difficult as your
plot gets more complex.
Well, I think the best way is to install a newer version of mpl on
your ubuntu 8.10 if possible.
-JJ
On Thu, Jun 18,
If you're using very recent version of mpl, you may try savefig with
bbox_inches option.
savefig(a.png, bbox_inches=tight)
The algorithm is not perfect, but will work for most of simple plots.
Regards,
-JJ
On Tue, Jun 9, 2009 at 1:22 PM, Nils Wagnernwag...@iam.uni-stuttgart.de wrote:
Hi
:
On Wed, 10 Jun 2009 02:26:54 -0400
Jae-Joon Lee lee.j.j...@gmail.com wrote:
If you're using very recent version of mpl, you may try savefig with
bbox_inches option.
savefig(a.png, bbox_inches=tight)
The algorithm is not perfect, but will work for most of simple plots.
Regards,
-JJ
Hm
John,
These ideas have been part of motivation behind my axes_grid toolkit.
In the module documentation of
lib/mpl_toolkits/axes_grid/axislines.py, I tried to briefly explain
what I wanted and what I implemented, although the explanation is very
far from complete (also some examples are found in
I hope the code below gives you some idea.
def Tc(Tf): return (5./9.)*(Tf-32)
ax1 = subplot(111) # y-axis in F
ax2 = twinx() # y-axis in C
def update_ax2(ax1):
y1, y2 = ax1.get_ylim()
ax2.set_ylim(Tc(y1), Tc(y2))
# automatically update ylim of ax2 when ylim of ax1 changes.
On Wed, Jun 3, 2009 at 2:11 AM, Paul Anton Letnes
paul.anton.let...@gmail.com wrote:
Is this complete enough? If you do the plot, you'll see that the plot
Unfortunately not. It is best if you post a stand-alone script that we
can simply run with copy-and-paste.
is about one column wide (7
Try to replace '1.0' with 1.0 for mew.
Regards,
-JJ
On Mon, May 18, 2009 at 11:47 AM, Chaitanya Krishna icym...@gmail.com wrote:
Hi all,
I guess I am doing something silly, but it is not obvious. Guess one of you
can help!!
I am using NumPy 1.3.0 and matplotlib 0.98.5.2
I am using the
Sure, I'll keep that in mind.
I'll revise the patch (I'll also think about the contains method) and
submit it soon.
Thanks,
-JJ
The patch is now committed to svn with relevant changes (r7119).
-JJ
--
Crystal
The grid line will reappear if you set high enough resolution.
plt.subplot(111, polar=True, resolution=100)
This should be filed as a bug, though.
I guess the current default for resolution is 1. I think this was to
enable to draw a straight line in polar projection. However, my guess
is that it
Hi all,
I had a few off-list conversation with Alan, and I'm also quite agree
with him for this issue.
Just to rephrase, I think the current subplot interface has (at least)
two issues.
issue 1) the indexing convention is not that of python. The index
starts from 1, instead of 0. (eg 111)
I think the point here is that
img = Image('foo.png')
imshow(img)
and
img = Image('foo.png')
imshow(asarray(img))
give different results, since matplotlib.image.pil_to_array functions
differently from what PIL exposes in __array_interface__
--
Pauli
On Sun, May 17, 2009 at 5:03 PM, Alan G Isaac alan.is...@gmail.com wrote:
So I am suggesting that any new functions
certainly should not propagate this anomaly.
Understood. And, yes, I guess you're quite right in this regard.
And I'll try to deprecate the current matlab-like interface in future
On Fri, May 15, 2009 at 10:10 PM, John Hunter jdh2...@gmail.com wrote:
FYI, several weeks ago I updated the official site-docs after you
contributes the axes grid toolkit and docs:
http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#rgb-axes
Thanks a lot, John.
On Fri, May 15, 2009 at 10:02 PM, John Hunter jdh2...@gmail.com wrote:
When you are extending/fixing existing code and come across methods
with no docs, could you write a one or two line doc string for them?
I wrote many of these and at the time they were so obvious that they
didn't need
On Sat, May 16, 2009 at 6:58 PM, jorgesmbox...@yahoo.es wrote:
Hi,
I want to read images and do some processing with them. While learning how to
do this, i.e. opening images, displaying them, transforming them tu numpy
arrays, etc., I came across a strange behaviour. If I open an image and
On Fri, May 15, 2009 at 10:59 AM, kevin gill kevin.g...@openapp.ie wrote:
How do I make the left chart display right to left instead of the
default left to right?
adjust your xlim in a way that xmax is 0, i.e., xlim(10, 0).
-JJ
This is now committed to svn trunk, with slight changes in its api.
An example is added (examples/animation/animation_blit_gtk2.py).
-JJ
--
The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your
On Thu, May 14, 2009 at 4:36 AM, Ben Coppin cop...@gmail.com wrote:
Hi,
I've added annotations to a graph I am producing using matplotlib. The
annotations work fine, but when you zoom and pan, the annotations move off
the edge of the chart and are still visible while they're in the main TK
You can't do this using the existing support for clipping artists? I was
planning on cooking up an example that did just that, but haven't yet found
the time.
What I want (and what I think is desirable) is that the annotation
should be drawn when (and only when) the xy coordinate is inside
of b) still
exists. Do you have any idea what I'm doing wrong?
Thanks in advance for any hints.
best regards Matthias
On Tuesday 12 May 2009 20:46:06 Jae-Joon Lee wrote:
On Tue, May 12, 2009 at 5:04 AM, Matthias Michler
matthiasmich...@gmx.net wrote:
Hello list,
I'm not sure
As Jouni suggested, I guess the best chance here is to use phantom
command. Here is a little example.
rc('text', usetex=True)
p1, = plot([1,2,3])
legend([p1, p1, p1, p1],
[rd = $\phantom{0}1$ m, d = $10$ m, d = $23$ m, d = $91$ m])
-JJ
On Tue, May 12, 2009 at 6:52 AM, Jouni K. Seppänen
The resulting graph is not colored -- but in the directory
~/.matplotlib/tex.cache/ the text is green, both in the dvi and the png
file!
It therefore seems to me that this is not completely hopeless but I
cannot figure out how to proceed.
As far as I know, in matplotlib, all the tex png
http://matplotlib.sourceforge.net/api/figure_api.html?highlight=colorbar#matplotlib.figure.Figure.colorbar
cbar = colorbar(ticks=lev, format = l_f)
-JJ
On Wed, May 6, 2009 at 3:28 PM, Sebastian Pająk spcon...@gmail.com wrote:
Hello
I have a contour plot with specified number of levels
Try to put plt.draw() before plt.show().
My guess is that what show() does is to create figure windows, and in
most cases it does not redraw the figure (Tk backend is always an
exception). So, this may not be a bug.
But I hope some who knows well about the backends clarify this.
Regards,
-JJ
I believe that it is just moved to another directory (lib/matplotlib/sphinxext).
http://www.nabble.com/Re%3A-Sphinx-custom-extension-mess%2C-and-patches-p22037746.html
Regards,
-JJ
On Mon, May 4, 2009 at 11:02 AM, Timmie timmichel...@gmx-topmail.de wrote:
Hello,
why is the
ax.twin returns a ParasiteAxesAuxTrans instance which is derived from
the mpl's original Axes, but only drawing-related methods are meant to
be meaningful. For example, this axes is never meant to be added to
the figure and the draw method of this axes is never meant to be
called. I haven't looked
2009, at 00:24, Jae-Joon Lee wrote:
On Tue, Apr 28, 2009 at 11:09 PM, John Hunter jdh2...@gmail.com wrote:
If you want the relative fontsizes in the figure window and saved figure
to
agree, pass the same dpi to the figure command and savefig command.
John,
I thought the font size (which
Is there any specific reason that you have to use figlegend, instead
of legend?
I'm asking this because the legend command automatically collect all
the relevant information for you, i.e., you can just do
legend()
Of course the legend is displayed inside the axes unlike the figlegend.
If
On Wed, Apr 29, 2009 at 12:21 PM, Matthias Michler
matthiasmich...@gmx.net wrote:
where the last tick is out of the xlimits. Could this be the case for your
example, too?
Nevertheless the question still would be: Is this a bug in the handling of
xticks and their corresponding labels?
You may use the bbox attribute of the axes.
For example, ax.bbox.extents gives you the x,y coordinates of the
lowerleft and topright corners.
-JJ
On Wed, Apr 29, 2009 at 4:06 PM, Mark Larsen larsen...@gmail.com wrote:
It's been a while, please allow me to bump this...
Sorry. I use
On Tue, Apr 28, 2009 at 11:09 PM, John Hunter jdh2...@gmail.com wrote:
If you want the relative fontsizes in the figure window and saved figure to
agree, pass the same dpi to the figure command and savefig command.
John,
I thought the font size (which is specified in points) is independent
of
but thanks,
And thanks, and ever thanks.
-- William Shakespeare
On Thu, Apr 23, 2009 at 1:21 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
On Mon, Apr 20, 2009 at 4:34 PM, Elan Pavlov e...@mit.edu wrote:
Hi,
I'm trying to use matplotlib for animating data as it is received from an
online
Hi Ryan,
The Axes in the svn version of the mpl has a axes_locator property ,
which is meant to be used to update the location of the axes at the
drawing time.
Try to insert the following code before the show and see if it works for you.
from matplotlib.transforms import Bbox
def
think this is common practice in event handling.
The partial function can be handy.
http://docs.python.org/library/functools.html
Regards,
-JJ
I'll let you know if this works or not.
Kind regards,
Frederic
Jae-Joon Lee wrote:
On Mon, Apr 20, 2009 at 4:09 PM, fjldurodie
frederic.duro
On Mon, Apr 20, 2009 at 4:09 PM, fjldurodie
frederic.duro...@googlemail.com wrote:
Hi,
I'm wondering if it is possible to use SpanSelector on multiple figures
: my problem is that I can't think of a way to tell the onselect on
which axes(ses) of which figure it should try and do something.
On Mon, Apr 20, 2009 at 4:34 PM, Elan Pavlov e...@mit.edu wrote:
Hi,
I'm trying to use matplotlib for animating data as it is received from an
online source (online in the algorithmic sense not internet:). I'd like
the graph plot to be updated with high frequency since the data changes
On Thu, Apr 23, 2009 at 3:54 AM, philscher
p.hilsc...@lsw.uni-heidelberg.de wrote:
Hello,
I need to plot 3 functions into the same plot, each having different scales
(same x, different y values).
For the first 2 functions I can use twinx(). But how can I include a 3rd
axis, which should
Explicitly set the aspect to auto.
imshow(image, aspect=auto)
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.imshow
-JJ
On Mon, Apr 13, 2009 at 12:20 PM, rmber ryanmbergm...@gmail.com wrote:
Is there a way to make imshow scale images to dimensions other than that
Is there any particular reason that you have to use pcolor?
My understanding is that the imshow is the fastest.
Also, pcolormesh is much faster than pcolor if you use agg backend.
Your script runs in a second on my linux box if I replace pcolor with
pcolormesh.
-JJ
On Mon, Apr 13, 2009 at
that
the normalized axes coordinates and I do not know how
to properly transfrom them which leads to the hacky /5 , otherwise the
legends are off the figure.
Any suggestions on how I can automate this part?
Thanks in advance.
Jae-Joon Lee
Thu, 09 Oct 2008 12:21:56 -0700
Although I think
You can change the position of the subplot using change_geometry
method, although it does not accept a sting argument.
s1.change_geometry(2,1,1) # instead of 211
-JJ
On Sat, Apr 11, 2009 at 4:59 PM, TP paratribulati...@free.fr wrote:
Hi everybody,
I would like to update a subplot
I guess you want this.
http://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.filled.html#numpy.ma.filled
-JJ
On Sat, Apr 11, 2009 at 3:36 PM, antonv vasilescu_an...@yahoo.com wrote:
Hi all,
Another noob question here. I have a large masked array that I am plotting
with contourf and
I'm afraid that I'm still confused and there seems to be not much
thing I can help..
You're considering a circle, but you already have your function in a
cartesian coordinate. I'm not sure why you can't just plot in a
cartesian coordinate? (in other words, what is wrong with your
original
On Wed, Apr 1, 2009 at 6:50 AM, Lorenzo Isella lorenzo.ise...@gmail.com wrote:
Now, I would like to plot exactly the same function but on a circular
domain (circle of radius 1 centered at (0,0)).
You have an image with x,y spanning from -1 to 1. How do you transform
your x,y coordinate to r,
The matplotlib legend does not currently support fill_between. As a
matter of fact, fill_between command creates RegularPolyCollection
artist, and the mpl legend does not know how to handle this kind of
artist at this time. And I personally do not have good idea how to
draw a handle for this (a
This thread might be helpful.
http://thread.gmane.org/gmane.comp.python.matplotlib.general/16373
Take a look at the above thread and see if it fits your need.
However, it became tricky if your axes adjust its position (e.g.,
aspect=1) during the drawing time.
The example below will be helpful
Hi,
Unfortunately, the current legend frame work does not support errorbars.
And I don't think implementing this is easy. The thing is that
errorbar creates multiple artists instead of single one.
The best workaround I can think of is to make the legend only with
markers (and lines if you want),
I don't have wx installed, so i'm not able to test your code.
However, here are some of my thoughts.
The location of the legend is the location of the lower-left corner in
the normalized coordinate of its parent. In your case, it would be
normalized axes coordinates. However, it seems that you're
I couldn't reproduce it (my output has no transparent column). I'm
running the current svn. I wonder if others can reproduce it.
Kevin,
what happen if you only do one of the pcolor or the contourf (it is
not clear why you're calling pcolor as it will be overridden by
contourf)?
-JJ
On Mon, Mar
As I said in my previous email, the _loc attribute of the legend need
to be in the normalized axes coordinate, i.e., the lower left corner
of the axes being (0,0) and the upper-right corner being (1,1). Thus,
it needs to be something like below.
loc_in_canvas = self.legend_x + mouse_diff_x,
On Wed, Mar 25, 2009 at 9:06 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
As I said in my previous email, the _loc attribute of the legend need
to be in the normalized axes coordinate, i.e., the lower left corner
of the axes being (0,0) and the upper-right corner being (1,1). Thus,
it needs
You need to adjust the keyword arguments, such as head_width, etc. The
arrow command itself is poorly documented and its keyword arguments
are explained in
matplitlib.patches.FancyArrow. However, I recommend you to use
annotate command instead of arrow (you can give empty string if you
just need
Ah, my bad.
Try
self.legend.parent.transAxes.inverted().transform_point(loc_in_canvas)
legend.parent points to the parent axes.
-JJ
On Wed, Mar 25, 2009 at 9:36 PM, C M cmpyt...@gmail.com wrote:
On Wed, Mar 25, 2009 at 9:06 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
As I said in my
speed, you may consider to use blit
method.
http://matplotlib.sourceforge.net/examples/animation/animation_blit_wx.html
-JJ
On Wed, Mar 25, 2009 at 10:55 PM, C M cmpyt...@gmail.com wrote:
On Wed, Mar 25, 2009 at 9:58 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
Ah, my bad.
Try
http://matplotlib.sourceforge.net/faq/howto_faq.html#move-the-edge-of-an-axes-to-make-room-for-tick-labels
something like fig.subplots_adjust(left=0.2) would work.
-JJ
On Tue, Mar 24, 2009 at 11:43 AM, Andy Yates newsp...@gmail.com wrote:
I am trying to generate plots where the y-axis major
Reading Eric's reply on the previous email, my impression is that
contourf is not supposed to draw the boundary (no stroke!). But it
seems it still does.
for c in cs.collections:
c.set_edgecolor(none)
After this, I can get rid of the vertical lines.
I can see slight gaps between filled
Try
aa.set_autoscale_on(False)
before your make_xaxis call (but after xlim and ylim changed).
When you plot something, the xlim and ylim is automatically adjusted
(unless you set autoscale=False).
-JJ
On Wed, Mar 11, 2009 at 2:31 PM, Nicholas Stephens
nicholas.steph...@univ-brest.fr wrote:
It can be tricky to give you a correct answer without knowing what
version of mpl you're using. The legend for the scatter plot has been
added rather recently so my answer below may not work for you.
Anyhow, this seems to be a bug in the documentation, not the code.
The legend for scatter plot
I have no idea whether this is related with the GIL. Anyhow, you may
work around this by running the blocking function in a separate
thread, although I only tested this with Gtk backends. Here is a
related post.
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.bar
use
ax.set_xticks(ind+width*.5)
instead of
ax.set_xticks(ind+width)
-JJ
On Thu, Mar 5, 2009 at 1:40 PM, Timmie timmichel...@gmx-topmail.de wrote:
Hello,
I tried to modify the bar chart demo for my case.
I
Your code works fine for me with mpl 0.98.5.2.
What version of mpl are you using?
print matplotlib.__version__
-JJ
On Thu, Mar 5, 2009 at 12:03 PM, Erik Granstedt egranst...@gmail.com wrote:
Hello,
I found an issue in working with subplots and using figlegend: it
doesn't display markers.
a normal
bar chart (vertical bars) and rotate the whole figure (please see attached
file), this is why I need the legend to be 90°-rotated, so that it's in the
right position afterall.
Thanks for your time.
Regards.
N.
2009/3/1 Jae-Joon Lee lee.j.j...@gmail.com
I don' think
Hi Erick,
Is there any particular reason to introduce _xaxison and _yaxison,
instead of using set_visible(False) on the xaxis and yaxis? Just
wondering..
-JJ
On Sat, Feb 28, 2009 at 1:52 PM, Eric Firing efir...@hawaii.edu wrote:
Christoffer Aberg wrote:
Hi all,
I have noticed a funny
but it does not work. i tried similarly setting the font size (with
set_size() or through rcParams) but it did not work either. how can i do
this? i'd like to do this either on per axes basis, or for the entire
figure.
It seems that changing rcParams is not effective because of the way
how
FormatStrFormatter (and other formatters) rely on Python's string
interpolation, and It does not seem to be possible to get rid of the
leading zero (http://docs.python.org/library/stdtypes.html).
I think what you can do is to replace 0. with . after the
interpolation. Something like below works
(l))
fp = FontProperties(family=Lucida Sans Typewriter)
fp.__hash__ = my_hash
runs, but does not change the font either.
would be very interested if you have any other ideas? thanks.
On Sat, Feb 28, 2009 at 6:04 PM, Jae-Joon Lee lee.j.j...@gmail.com
wrote:
On Sat, Feb 28
I don' think these is a straight forward way to rotate the legend as a whole.
As a matter of fact, it is hardly possible with the current
implementation of the legend class. Could you explain why do you want
to have a rotated legend? An example figure (from other plotting
package) will be very
I recommend you to use the Wedge class in matplotlib.patches.
from matplotlib.patches import Wedge
# draw a wedge in the axes coordinate. (0.5, 0.5) in axes coordinate
corresponds to (0,0) in polar coordinate.
trans = ax.transAxes
center, R = (0.5, 0.5), 0.5
twopi=360.
pie1 = Wedge(center, R, 0,
On Thu, Feb 26, 2009 at 4:51 AM, Søren Nielsen
soren.skou.niel...@gmail.com wrote:
I've tried placing a legend using the loc = (x,y) .. and the legend is moved
where I want it. the problem is, when I add new lines to the plot.. the
legend grows, but upwards.. so the lower left point of the
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