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, 20
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 worka
0),
>
> ?
No, somehow the meaning 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,
>
>
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.
set_transfo
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 gri
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, Art wrote:
> Hi Eric,
>
> I was thinking more like the tiny attachment (hope attachments are ok).
> Basically, given a list
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 a
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 S wrote:
>
> Hi,
> I have the same problem. If you found the
s that some sort of blending edge feature? I just installed
> 0.98.5.3, but the sample code gives me the error:
>
> TypeError: __init__() got an unexpected keyword argument 'bbox_to_anchor'
>
> On Thu, Jun 25, 2009 at 10:20 PM, Jae-Joon Lee wrote:
>> The linked pag
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
ins
n 30, 2009 at 8:12 AM, Fabrice Silva wrote:
> Le lundi 29 juin 2009 à 16:11 -0400, Jae-Joon Lee a écrit :
>> I think the issue here is to connect points in two different axes,
>> which is possible but can be a bit difficult.
> That was my problem
>
>> In the svn version
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 qui
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 i
lot(x, y)
plt.show()
In this case, plot() runs fine, but segfault during show().
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:
>
>
x27;m not an c++ expert, I'll leave it to you, Michael.
Regards,
-JJ
On Wed, Jul 1, 2009 at 3:16 PM, Jae-Joon Lee wrote:
> On Wed, Jul 1, 2009 at 2:34 PM, Michael Droettboom wrote:
>> I agree with Jae-Joon here -- try to reduce the number of points before
>> passing it to
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.
host.set
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
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, ax.trans
.png
>> http://files.getdropbox.com/u/533499/silicon_donor_10_newplot.png
>>
>> 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
On Fri, Jul 3, 2009 at 1:05 PM, guillaume ranquet wrote:
> but something sounds plain wrong, It sounds like there's too much
> useless calculations and data copied.
>
Well, if you think something is wrong, I guess you may have chosen a
wrong tool.
MPL is mainly for 2d plotting, and not very strong
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 few
If you use the svn version of matplotlib, you may use axes_grid toolkit.
http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#insetlocator
I think the required inset_locator module actually does not depend on
other modules in axes_grid, so if you're not using svn, you may
Arrrg,
it depends on other module in axes_grid toolkit.
So, you need svn version of mpl.
However, It is possible to specify the location of the axes in
normalized axes coordinate.
http://thread.gmane.org/gmane.comp.python.matplotlib.general/16373
-JJ
On Wed, Jul 8, 2009 at 10:57 PM, Jae-Joon
On Thu, Jul 9, 2009 at 12:40 AM, Gökhan SEVER 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(r"DMT CCN Concentration [ #/$cm^3$]")
>
> but as it is seen from the f
On Thu, Jul 9, 2009 at 7:24 AM, Robin wrote:
>> On Wed, Jul 8, 2009 at 10:57 PM, Jae-Joon Lee wrote:
>>> If you use the svn version of matplotlib, you may use axes_grid toolkit.
>>>
>>> http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.ht
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 Hunter wrote:
> On Mon,
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 share
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
How
On Mon, Jul 13, 2009 at 4:56 PM, Uri Laserson 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 one of the
>
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/mpl_toolkits/axes_grid/users/overview.htm
Are you trying to run your script without opening a gui window?
If yes, "interacitve" is not what you want.
http://matplotlib.sourceforge.net/faq/howto_faq.html#matplotlib-in-a-web-application-server
Anyhow, I had similar experience that some Tk application failed to
open over ssh connection. An
"imshow" sets aspect=1 unless you changed your rcparams.
Unless aspect="auto", the axes position changes during the drawing time.
call imshow with aspect="auto"
or use set_aspect method.
http://matplotlib.sourceforge.net/api/axes_api.html?highlight=aspect#matplotlib.axes.Axes.set_aspect
Regards
On Thu, Jul 16, 2009 at 10:49 PM, per freem wrote:
> hi all,
>
> suppose i have am plotting several lines using 'plot', some are dashed
> (using '--') and some are ordinary solid lines. i am plotting several solid
> and several dashed lines, all in different colors, as in:
>
> for n in num_lines:
>
To change the legend font size, you may change the "legend.fontsize"
in rcParams.
The change will be global. If you want to change the font size of some
particular legend, use the appropriate font property as the "prop"
keyword.
http://matplotlib.sourceforge.net/api/pyplot_api.html?highlight=legen
On Wed, Jul 15, 2009 at 3:23 PM, Louise
Loudermilk 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 for this.
> I have many g
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 blen
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 you
http://matplotlib.sourceforge.net/api/pyplot_api.html?highlight=legend#matplotlib.pyplot.legend
numpoints=1 is what you want.
For font size and etc, check the similar question posted a few days ago.
http://www.nabble.com/formatting-help-with-legend-for-stacked-bar-graph-with-many-categories-td24
get_xmajorticklabels() returns a list of matplotlib's "Text" objects,
not python strings.
http://matplotlib.sourceforge.net/api/axes_api.html?highlight=get_xmajorticklabels#matplotlib.axes.Axes.get_xmajorticklabels
On the other hand, set_xticklabels() takes a list of python strings.
http://matpl
On Mon, Jul 20, 2009 at 4:48 PM, John [H2O] wrote:
>
>
>
> Jae-Joon Lee wrote:
>>
>> get_xmajorticklabels() returns a list of matplotlib's "Text" objects,
>> not python strings.
>>
>
> This is what I've now come to understand, but it se
index for subplot starts from 1, not 0 (the convention is from Matlab).
Regards,
-JJ
On Mon, Jul 20, 2009 at 6:31 PM, W. Augustine Dunn
III wrote:
> Hello y'all:
>
> I am trying to plot a fig with three subplots. However when I run my
> script the subplots are all shifted way too high
> (http:
> In [30]: fig = figure()
>
> In [31]: ax = fig.add_subplot(111)
>
> In [32]: ax.plot_date(time, data, '-')
> Out[32]: []
>
> In [33]: show()
>
> In [34]: fig.autofmt_xdate()
>
>
> In [37]:
> C:\Python25\lib\site-packages\matplotlib\backends\backe
The height of the box will scale with the font size. If you want to
change the height independent of the font size, you need to manually
adjust the properties of the individual legend handles.
l = legend()
patches = l.get_patches() # list of legend handles whose type is
matplotlib.Patch.
for p in
Hi,
Thanks for reporting this.
The axes class in axes_grid toolkits uses different artists to render
ticks and ticklabels. And some of the features in the original
matplotlib won't work correctly, and the "tick direction" turned out
to be one of them.
However, I just committed a fix for this to t
The axes_grid toolkit is base on use cases for images of aspect 1, and
I haven't carefully considered cases where the aspect is different
from 1. And I guess this is one of such cases I overlooked.
Please try to add below lines in your code (I couldn't try your code
because of the missing data fil
On Mon, Jul 27, 2009 at 11:55 AM, Tony S Yu wrote:
> The 3rd issue is a bit more difficult. One approach is to use
> Jae-Joon's AxesGrid toolkit; you
> may need to be using the latest development version of matplotlib to use the toolkit.
I think it would be easier to use the recently added spine s
Well, I think the meaning of the axis("equal") is a bit misleading (at
least to me), but if you look at the documentation, it says that it
changes the xlimit and ylimit (limits in data coordinate), so this is
NOT what you want.
What you need is axis("scaled") or axis("image").
http://matplotlib.so
On Mon, Jul 27, 2009 at 4:06 PM, Gewton Jhames wrote:
> How to "trim the canvas" of the image generated? It's transparent, but still
> have a "padding", if it would be cropped, I can safe almost 200px!. I have
> attached a file to this email to show it, the background of the graph was
> set to red
On Tue, Jul 28, 2009 at 9:11 AM, Roland Koebler wrote:
> Hi,
>
> I've got some performance problems with matplotlib, and would like to
> ask if you know any way I can make it faster.
>
> If there is no such way, I have to decide to (a) either enhance matplotlib
> or (b) write my own plotting-librar
scatter() currently does not support arbitrary path as its marker. The
current marker customization is limited to what can be described by
RegularPolyCollection and etc. And the crosshair marker do not fit in
to this category.
I'm attaching a snippet of a code I have been using for an exactly
same
The documentation for scatter command is out of date unfortunately.
You need to use "scatterpoints" keyword.
http://www.nabble.com/legend-bug--td22466216.html#a22466216
-JJ
On Mon, Jul 27, 2009 at 3:44 PM, per freem wrote:
> Hi all
>
> i am making a scatter plot and want to label one of the poin
The location of the image can be set by specifying the "extent"
keyword, however, this is set in data coordinate.
figimage may be close to what you want.
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.figimage
As far as I know, there is no direct support in matplotlib to
I don't think there is any user-visible support for registering a
custom colormap.
However, it seems to me that adding the colormap to
matplotlib.cm.datad distionary is enough.
Note that the value need to be a dictionary of RGB specification, not
the actual colormap instance.
for example,
mycolor
The axes_grid toolkit is recently added to the matplotlib, and you
need to have development version of matplotlib.
You may try the matplotlib 0.99rc1 released a few days ago
http://www.nabble.com/matplotlib-0.99.0-rc1-%3A-call-for-testing-td24760373.html
or you may try to install from the svn
ht
The clable command returns a list of Text instances.
You need call set_bbox method for each of them.
tl = clabel(...)
for t in tl:
t.set_bbox(dict(fc="y"))
For clabels, which are often rotated, it may better to use fancy box
style (the default bbox is not rotated even though the text is).
for the stable release, and the other for development
version? This seems to be one of the obvious solutions to me.
Regards,
-JJ
>
> Tommy
>
> On Aug 1, 2009, at 9:27 AM, Jae-Joon Lee wrote:
>
>> The axes_grid toolkit is recently added to the matplotlib, and you
>> need
>
> Any idea what might cause this issue? Did I do something wrong? I know
> it's not pretty, but it should work right?
>
> Cheers!
> Bas
>
>
>
> 2009/7/30 Bas van Leeuwen :
>> Hi JJ,
>>
>> Thank you for your kind and speedy reply, I completely glanced ov
Use pylab's yticks command.
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.yticks
Or Axes.set_yticklabels together with Axes.set_yticks.
http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.set_yticklabels
-JJ
On Fri, Jul 31, 2009 at 4:07 PM, Lukas
On Sat, Aug 1, 2009 at 5:04 PM, Andres Luhamaa wrote:
> Thank You,
>
> but now I have another little annoying issue. Besides clabel I add some
> text manually to my plot with plt.text and sometimes the clabel and
> plt.text overlap, and no matter in which order I plot them, the string
> from clabel
Yes, using spines will be best in most situation.
The problem with using axes_grid toolkit is that some mpl commands
that changes the properties of the ticks and ticklabels do not work.
I think you may consider to use axes_grid if you want to keep both of
the bottom and top axis, which I guess wo
> in a figure but in a QT frame containing several subplots. But thank
> youfor the suggestion, I will try if the imshow approach appears
> fruitless.
>
>
> 2009/8/2 Jae-Joon Lee :
>> A snippet of code does not help in general.
>> Please take your time to create a simple, s
On Tue, Aug 4, 2009 at 12:50 PM, John Hunter wrote:
> On Mon, Aug 3, 2009 at 11:38 PM, Gökhan Sever wrote:
>> Hello,
>>
>> I was wondering if it is possible to hide some data on figures using a say
>> right click option to any of the legend entry and make it temporarily
>> hidden/visible to better
On Tue, Aug 4, 2009 at 12:14 PM, Christophe
Dupre wrote:
> Hello,
>
>
>
> I've been playing with the animation_blit_gtk2 example
> (http://matplotlib.sourceforge.net/examples/animation/animation_blit_gtk2.html
>
> ) and the latest version of matplotlib version 0.99.0-RC1.
>
> I've modified the exam
The thread below might be helpful.
http://thread.gmane.org/gmane.comp.python.matplotlib.general/16373
This will work as far as you keep the aspect="auto".
Also, if you're using matplotlib 0.99rc version, or matplotlib from
svn, you may take a look at
http://matplotlib.sourceforge.net/mpl_toolki
n my machine, I get a
> frame rate of 30 FPS if I redraw both X and Y axis. The rate goes much higher
> ( greater than 100 FPS) if I don't redraw the axis.
>
> Thanks,
>
> Christophe
>
>
> -Original Message-
> From: Jae-Joon Lee [mailto:lee.j.j...@gm
This turned out to be a bug introduced recently, which is now fixed in
the 0.99 maintenance branch.
The fix is not merged into the head yet. I tried svnmerge.py but it
gave some merge conflict. While the conflict seems rather trivial,
I'll leave it to others.
Meanwhile, you can explicitly give art
out.
-JJ
-ps. By the way, I'm afraid that this fix missed the 0.99 release.
> Thanks.
>
> On Thu, Aug 6, 2009 at 11:47 AM, Jae-Joon Lee wrote:
>>
>> This turned out to be a bug introduced recently, which is now fixed in
>> the 0.99 maintenance branch.
>>
On Thu, Aug 6, 2009 at 1:13 PM, John Hunter wrote:
> On Thu, Aug 6, 2009 at 11:47 AM, Jae-Joon Lee wrote:
>> This turned out to be a bug introduced recently, which is now fixed in
>> the 0.99 maintenance branch.
>> The fix is not merged into the head yet. I tried svnmerge.p
The guide is based on mpl 0.99.
You may upgrade your mpl,
or take a look at the thread below. it is a workaround that will work
with older version.
-JJ
On Fri, Aug 7, 2009 at 8:29 PM, Eliezer, David wrote:
> Hi,
> I am graphing several time series together on the same graph,
> and so it
John,
I changed the axes_grid examples to use get_sample_data and committed
them to the svn yesterday.
However, these examples won't work unless the user uses mpl from the
svn (I don't think get_sample_data is in 0.99 maint).
But, at some point during the last dev cycle, I think the gallery in
our
get_tightbbox is a bit experimental feature and it is discouraged for
an ordinary user (maybe the method should not be an public method).
Unless you understand how the internal transformation thing works, I'm
afraid there is not much thing you can do with its return value.
Instead, you should use
On Wed, Aug 12, 2009 at 3:16 PM, Uri Laserson wrote:
> Hi,
>
> I am trying to overlay a few Axes object that need to share axes. I would
> like it to be the case that if I change the properties of one axis (e.g.,
> scale), the corresponding axis of the other axes will have the properties
> changed
http://matplotlib.sourceforge.net/search.html?q=set_label_position&check_keywords=yes&area=default
ax2.xaxis.set_label_position("top")
ax2.yaxis.set_label_position("right")
Regards,
-JJ
On Thu, Aug 13, 2009 at 12:10 AM, Duncan Mortimer wrote:
> Hi all,
>
> I'm trying to produce a graph in whic
I took a stab at this during the weekends and a patch is attached.
1) introduces a new command subplot2grid. e.g.,
subplot2grid(shape=(3,3), loc=(0,0), colspan=3)
it still creates a Subplot instance.
2) subplot command can take a SubplotSpec instance which is created
using the GridSpec.
gs = G
Hello,
pywcsgrid2 is my personal project to display astronomical fits images
using matplotlib.
While there are other tools, my approach is to extend the capability
of the matplolib, rather than building something new on top of it.
pywcsgrid2 provides a custom Axes class (derived from the matplotl
On Tue, Aug 18, 2009 at 1:53 PM, Alan G Isaac wrote:
> 2. This is pretty fast. Would there be additional
> speed gains to blitting, and if so, how would it
> be done? (I'm just asking for clues, not a complete
> example.)
Blitting will improve the performance when significant portion of your
plo
I guess you're using 0.99?
Use spines instead.
for example,
gca().spines["bottom"].set_linewidth(2) # it only changes the
linewidth of the bottom spine.
also, see this example,
http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html#pylab-examples-spine-placement-dem
On Tue, Aug 18, 2009 at 1:33 PM, dek wrote:
>
> the patch3dcollection object not good for legend figure, I am having trouble
> thinking of a work
> around. Is there manually a way to insert artist and labels into the legend
> and make it such that it is independent from the axes? Using a proxy arti
You need to adjust the positions of the ticks.
bar command (by default) creates boxes so that their left side
corresponds the first argument.
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.bar
so, in your case, something like below will work (0.4 from 0.8/2 where
0.8 is t
sct1 = axes.scatter(x,y, c=some_list, cmap=plt.get_cmap(colmap))
colors = sct1.get_facecolors()
The return value is an array of rgb values.
-JJ
On Mon, Aug 17, 2009 at 3:40 PM, Carlos
Grohmann wrote:
> Hi, I have a collection, which is a scatter plot, and I want to
> iterate through all the ele
See below for available public methods.
http://matplotlib.sourceforge.net/api/collections_api.html#matplotlib.collections.Collection
-JJ
On Tue, Aug 18, 2009 at 6:16 PM, Jae-Joon Lee wrote:
> sct1 = axes.scatter(x,y, c=some_list, cmap=plt.get_cmap(colmap))
> colors = sct1.get_face
On Mon, Aug 17, 2009 at 10:29 AM, Ole Streicher wrote:
> Hi,
>
> I want to show the same data on multiple plots. Is it possible to re-use
> the Line2D object for that? t.m.,
>
> line = axes1.plot(xdata, ydata, ...)
>
> ...
>
> axes2.lines.append(line)
>
> Or is a Line2D bound to a certain axes inst
On Fri, Aug 21, 2009 at 10:01 AM, Scott
Sinclair wrote:
>> I just realized that I did not give the correct plot object when creating
>> the colorbar. Now it works perfectly to pass arguments by set_xticklabels().
>>
>> However, another question just arose. To format the numbers on the tick
>> label
What you need is to adjust the axes position of the colorbar at the
drawing time (because the axes position of the contour plot is
adjusted only during the drawing time).
You may do this by properly setting the axe_locator property of the axes.
If you're using mpl 0.99, axes_grid toolkit may be he
On Thu, Aug 20, 2009 at 2:01 AM, Sameer Regmi wrote:
> We tried the method 1 but the result was a garbled mesh
Please describe what you did and why the result is wrong.
The method 1 with quadratic bezier curve should be most
straight-forward and easy thing to do. Calculating the control points
is
Marsh
> Graduate Research Assistant
> School of Meteorology
> University of Oklahoma
> http://www.patricktmarsh.com
>
>
>
>
> On Sat, Aug 22, 2009 at 10:37 PM, Jae-Joon Lee wrote:
>> What you need is to adjust the axes position of the colorbar at the
>> draw
On Mon, Aug 24, 2009 at 1:14 PM, Thomas
Robitaille wrote:
>
> Hi,
>
> I'm interested in controlling how the cursor position appears at the bottom
> of interactive windows.
>
> I noticed that by default, it is the Formatter that gets called. However, in
> my case, the displayed coordinates each depe
On Mon, Aug 24, 2009 at 1:48 PM, Xavier Gnata wrote:
> Hi,
>
> I have already asked about that but I'm back once again :)
>
> The way I use matplotlib may be a corner case:
> I'm often looking at large (4k x 4k) images and I do want to see the
> pixels values moving the mouse over the display.
> im
Please, take your time and post a "standalone" code that reproduces
your problem so that others can actually test. Also, please describe
what results you have and why they are wrong.
On Tue, Aug 25, 2009 at 4:08 AM, Daniel
Platz wrote:
> fig1.colorbar(pc1,ax=ax1,orientation='horizontal',pad=0.025,
On Wed, Aug 26, 2009 at 6:22 AM, German Ocampo wrote:
> Hello
>
> Are there some way to take out the gridlines from a surface in mplot3D
> and get a smooth colour change?
>
I think surface plot does not draw any gridlines by default (linewidth
set to 0). Maybe you're referring the artifacts betwe
I don't think there is a direct support for this in mpl and I guess
only way is to adjust the parameters of each ticks.
def set_ticks_both(axis):
ticks = list( axis.majorTicks ) # a copy
ticks.extend( axis.minorTicks )
for t in ticks:
t.tick1On = True # tick marker on left (or
If you need to stick to eps, another option is to use rasterization
feature of the matplotlib itself. This way you can keep part of plot
in vector format (e.g., texts, lines, etc ) while rasterizing others.
Of course this solution only works if the "quality" of those being
rasterized is not very im
You may use PyX for compositing two eps images. It is not a gui
application like inkscape.
But it is one of the best option I know for eps compositing.
http://pyx.sourceforge.net/manual/epsfile.html
Regards,
-JJ
On Tue, Sep 1, 2009 at 11:09 AM, jakobg wrote:
>
> Hi there,
>
> I want to place a
On Wed, Sep 2, 2009 at 11:41 AM, Sebastian Rhode wrote:
> So I already figure out how to delete the last drawn line, but this is not a
> very good solution. What I actually would need, is a selection which line &
> legend the users whats to remove from the graph (perfect would be
> interactivly dir
In [162]: print "$\beta$"
eta$
In [163]: print r"$\beta$"
$\beta$
use the raw sting for math expression.
Regards,
-JJ
On Fri, Sep 4, 2009 at 12:06 PM, Nicolas
Chopin wrote:
> Hi list,
> when I do:
> hist(randn(100)); xlabel('$\gamma$')
> things work as expected.
> However, if I try:
> hist(ra
I presume you're running that script in interactive shell?
Try draw() instead of show().
Regards,
-JJ
On Sun, Sep 6, 2009 at 3:06 PM, tva wrote:
>
> Hi all
>
> with matplotlib 0.98.5.3 this script will draw new lines as the scrips is
> running:
>
> from pylab import *
> x = arange(0,2*pi,0.01)
There are a few ways to improve the speed, which, I guess, will give
you factor of a few speed up.
If you need more than that, I guess matplotlib is not suitable for your purpose.
* try a simple interpolation method, eg. imshow(arr, interpolation="nearest")
* reduce the image size. Unless you hav
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