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Android is increasing in popularity, but the open development platform that
developers love is also
this last line to plot all ~140 colormaps
if i==25: break
plt.show()
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is this stackoverflow post:
http://stackoverflow.com/questions/5419439/matplotlib-pyplot-on-os-x-with-64-bit-python-from-python-org
See if the solution suggested there (installing 32-bit version
from python.org)
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that code only made it's
way into v1.2.0 (the latest stable), and was did not make it into
v1.1.1 (or anything before it)
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attachment: 2012-12-05-152024_591x478_scrot.png
for posterity.
Again, thanks for your help.
Happy to be helpful,
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be to change the colormap you're plotting
with, or add an alpha value to the images you're plotting so that the black
widgets can be seen. Maybe it's inelegant, but looks like the path of least
resistance...
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months, and glad we're starting to buck that trend.
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)
plt.show()
I don't want to take away all of your fun, so have a look at
adding (mouse clickable) buttons to this using either
examples/widgets/buttons.py or examples/widgets/radio_buttons.py
- depending on your preference.
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at this example:
http://matplotlib.sourceforge.net/examples/api/date_index_formatter.html
Just define something like:
def your_function(x,pos=None):
return %d days % (x/86400)
ax.xaxis.set_major_formatter(ticker.FuncFormatter(your_function))
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()
t = transforms.offset_copy(text._transform, y=ex.height, units='dots')
plt.figure()
rainbow_text(0.5,0.5,all unicorns poop rainbows ! ! !.split(),
['red', 'orange', 'brown', 'green', 'blue', 'purple', 'black'],
size=40)
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matplotlib by trying to answer the
questions others have (with my trusty IPython tab-completion, and
when necessary, doing what every Python Jedi does, and use the
Source) - and by following along with the answers others provide.
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)
Another way (if you're ok with only coloring the markers) would
be to use ax1.scatter(x,y,c=colorlist) where the length of all
three arguments is the same. Scatter can do that with the size of
the markers by passing the s= argument.
best,
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(1,0) before the plot_date call.
Can you try to create a new figure just before the call to plot_date?
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)
extent = [xedges[0], xedges[-1], yedges[-1], yedges[0]]
ax = plt.gca()
plt.hot()
ax.imshow(H, extent=extent, interpolation='nearest')
ax.invert_yaxis()
I'm attaching the two images for reference
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on your chosen backend.
Can anyone else who has OS X verify David's error? David, it'd be
useful to know what your matplotlib.__version__ is, as well as
whether or not the error occurs on the latest version, if that's
possible.
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'], forward=True)
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represented by the
floating point standard. The check for constant spacing likely
should take into account and compare dx.ptp() to the average dx
itself, or something like that.
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on the limitation of mpl colormaps there.
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there might be an easier way of doing that, which escapes
me right now)
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).resolution
and same for yi, which is what happens with the values you
provided to linspace, due to the way linspace works.
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Oops, didn't reply to list last time:
On Fri, Nov 11, 2011 at 8:53 AM, Paul Ivanov pivanov...@gmail.com wrote:
On Tue, Nov 8, 2011 at 4:49 PM, magurling magurl...@gmail.com wrote:
I want a legend without the black border. I've tried a few things that have
been suggested on this forum
On Fri, Nov 11, 2011 at 8:53 AM, Paul Ivanov pivanov...@gmail.com wrote:
might you be on an old matplotlib.__version__?
On Fri, Nov 11, 2011 at 11:18 AM, magurling magurl...@gmail.com wrote:
This is probably it. I installed by apt-get install but keep getting
version 0.99.3 installed.
I need
they resolved it, so that others can follow in their
footsteps later.
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an IRC client handy, you can just use this web-based one.
http://webchat.freenode.net/?channels=matplotlib
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On Tue, Oct 25, 2011 at 4:59 PM, Rich Shepard rshep...@appl-ecosys.com wrote:
On Tue, 25 Oct 2011, Paul Ivanov wrote:
I see you sent this just a few minutes ago - let's try to figure this out
interactively via IRC on #matplotlib channel on freenode. If you don't
have an IRC client handy, you
that
ship with matplotlib (but we were on your machine - so something
changed them).
Please diff your pagko8a.afm against
https://raw.github.com/matplotlib/matplotlib/master/lib/matplotlib/mpl-data/fonts/afm/pagko8a.afm
best,
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On Mon, Oct 24, 2011 at 3:26 PM, Rich Shepard rshep...@appl-ecosys.com wrote:
On Mon, 24 Oct 2011, Paul Ivanov wrote:
those two properties should not have spaces in them - according the the
AFM file spec that I could find - they should be one word - which is what
matplotlib expects
that there
isn't some stale pointer to an old version of matplotlib out there -
so can you let us know what procedure you used to do the upgrade?
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at 0x16d7de70]
can you try explicitly swapping your axes? f.axes =
[f.axes[1],f.axes[0]] instead of the call to reverse?
BTW, what's matplotlib.axes.AxesSubplot? I couldn't find this class.
see SubplotBase class and subplot_class_factory function in matplotlib/axes.py
best,
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, and turn it off for all others lying on top of
it. You can see what happens if you don't do this by omitting the
calls to set_frame_on, and then verifying that the second line does
not show up (because the original axes' frame patch is blocking it.
best,
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the screen. :)
This problem was fixed by 2c924046 (Jim Radford 2011-03-08 15:07:23 -0800 459)
and now reads:
self.canvas.set_rubberband(int(x0), int(y0), int(x1), int(y1))
Please update either that line alone, or checkout the latest
matplotlib sources from GitHub.
best,
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314
get part-way to what you want by setting
ax.figure=f before calling f.add_axes(ax). Then, you'll have ax
in both figures, but its transforms are still rooted in the first
figure, so resizing the first figure, you'll see changes to the
size of the plot in the second figure.
best,
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314
about rotated text not working,
due to the interface to GTK we were using) so perhaps you ran
into this.
Can you try the gtkagg backend?
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blitting just the relevant axis? Look at the
blitting animation examples (on the site) which have moved to
examples/animation/old_animation in git.
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an example for this in git:
https://github.com/matplotlib/matplotlib/blob/master/examples/pylab_examples/broken_axis.py
but now I see that's exactly the example that's the top answer,
there, heh.
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, y, lw=5., alpha=0.4)
frame1.add_line(line)
The above can be done with just two lines:
x,y = zip(*((267, 140), (380, 773), (267, 958)))
1.plot(x,y)
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in the figure.
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, and its
set_transform() method) to do the positioning/scaling.
Is there a better way?
This looks similar enough:
http://matplotlib.sourceforge.net/examples/api/scatter_piecharts.html
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/matplotlib/matplotlib-0.98.5/matplotlib-0.98.5.3.tar.gz
The error which causes both to fail is:
Hi Bogdan,
are you specifically trying to install that old version of
matplotlib? If not, add the -U flag to easy_install to try to
grab a newer version
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instead of subplot(211) you use
plt.axes(...) to create them (I guess there may be a nicer
method, not sure).
I belive the plt.subplots() command is what Sebastian was
referring to.
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to you).A
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All of the data generated
, but is this an application that you built and
compiled? Is recompiling matplotlib an option?
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://matplotlib.sourceforge.net/examples/pylab_examples/contour_image.html
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Jason Heeris, on 2011-04-23 00:29, wrote:
On 22 April 2011 03:56, Paul Ivanov pivanov...@gmail.com wrote:
Thanks for the report, Jason. It's a bug - could you please file
a bug report, so we can keep track of it?
Will do, thanks for the workarounds :)
or if it's an option, use gtkagg
()
ax.add_artist(r)
plt.draw()
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do:
figure.subplotpars.right=.8 # make smaller if still crashes
or if it's an option, use gtkagg, which doesn't suffer from the crash.
from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg
as FigureCanvasGTK
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? what is the error
message?
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in one dimension,
something like twinx() or twiny() would work to create new axes
on top of another one, sharing the one of the dimension, while
being independent in the other.
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you'll have.
len(set(zip(n_x,n_y))) will tell you how many points you should
see.
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that functionality.
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It's a major
matplotlib more consistent.
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It's
():
ax.spines['left'].set_visible(True)
if ax.is_last_col():
ax.spines['right'].set_visible(True)
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It's a major breakthrough
, we'd be able to much more definitively track down the
problem and find a solution.
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or slider of the zipper (since it's at the top, you'll be
pulling it down, or unzipping): see
http://docs.python.org/library/functions.html#zip
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that these tests
weren't running before.
Any developers want to chime in on this?
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Michael Droettboom, on 2010-07-27 11:19, wrote:
Hmm... surprisingly, I am actually able to reproduce this sort of
behaviour here. I'll
in
progress, what's been completed, and what's left to do here:
https://github.com/matplotlib/matplotlib-py3/wiki
(Also, this is more of a matplotlib-users question, so I'm replying
to that list)
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just that these tests
weren't running before.
Any developers want to chime in on this?
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Michael Droettboom, on 2010-07-27 11:19, wrote:
Hmm... surprisingly, I am actually able to reproduce this sort of=20
behaviour here
in January, 2011 at [1] or [2]:
1. http://old.nabble.com/How-to-make-a-grid-of-%28plot%29-grids--td30581281.html
2.
http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg19710.html
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)
plt.xlim(0,30)
# for the next line to work in ipython you'll need to
# paste/or cpaste this entire script, or just pause before
# changing the xlim again to verify that it works as intended
raw_input(press return for to rescale)
plt.xlim(0,55)
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in enumerate(labels):
x_loc = data1[i]
y_loc = data2[i]
txt = ax.annotate(label, xy=(x_loc, y_loc), size=8,
xytext=(-10, 10), textcoords='offset points',
arrowprops=None)
plt.axis('equal')
plt.show()
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= np.random.rand(npts)
d = np.random.rand(npts)
plt.scatter(a,b,c=c,s=c*100, marker='o')
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with
newlines
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be to make a polar subplot and transform your
rectangular data to polar coordinates for the purposes of
plotting (rather than transforming the grid to polar). This way
you'll get your clipping for free.
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http
rcParam to affect all plots. You might also play
with using different fontsize parameters when calling .text(...)
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= ...' line inside the for-loop, and you'll
be all set.
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, on 2011-03-01 12:58, wrote:
Paul Ivanov pivanov...@gmail.com writes:
You can do this with:
ax = plt.subplot(111)
ax.plot(range(10))
ax.set_ymargin(.2)
ax.set_xmargin(.1)
# or ax.margins(.1,.2)
ax.autoscale()
plt.draw()
see also the docstring for ax.autoscale_view for more
have an even number of subplot figures so the
grid is filled and this situation does not occur.
Hi Jim,
how's this:
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import AxesGrid
ag = AxesGrid(plt.figure(),(0,0,1,1),(2,3))
ag.axes_all[-1].set_visible(False)
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.
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, the line chart's y-axis on the
left. Can this be controlled?
ax1.yaxis.tick_right()
ax2.yaxis.tick_left()
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= mpl.ticker.FuncFormatter(lambda x,pos: %.2f%np.exp(x))
ax2.yaxis.set_major_formatter(fmtr)
plt.draw()
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?
# pyplot (matlab-like) interface
plt.errorbar?
As Daniel pointed out, the question mark will pull up the
docstring if you're using IPython, but if you aren't, you
can always call python's help.
help(plt.errorbar)
which will print the docstring for you.
hope that helps,
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], which
I believe were addressed in [3], and are waiting to be merged.
1. https://github.com/ipython/ipython/issues/#issue/202
2. https://github.com/ipython/ipython/issues/#issue/185
3. https://github.com/ipython/ipython/pull/237
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run into building
matplotlib for your 64-bit python.
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]),
a list of 20 Patch objects)
In [11]: ax.hist(a) # the default bins=10
(array([4, 2, 3, 1, 0, 2, 1, 2, 0, 5]),
array([ 0. , 1.9, 3.8, 5.7, 7.6, 9.5, 11.4, 13.3,
15.2,
17.1, 19. ]),
a list of 10 Patch objects)
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, there is no need to send duplicates of
mailing list questions directly to me.
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that.
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ax.figure.canvas.mpl_disconnect(%d) %cid
print #run the line above to 'flatline' (stop heartbeat)
plt.show()
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participants,
etc. Our collective involvement in whatever capacity is what
makes projects like matplotlib thrive!
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Paul Ivanov
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with step's where parameter for
slightly different behavior of where the transition between the
steps occurs.
best,
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Paul Ivanov
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there are python2.7 64 bit version for OS X at this time)
more on how to do that in the comments of the top reply here:
http://stackoverflow.com/questions/3606964/no-matching-architecture-in-universal-wrapper-problem-in-wxpython
best,
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Paul Ivanov
314 address only used for lists, off-list direct
, .set_linewidth
To hide the tickmarks that are right next to the spines, you can
do:
ax1.xaxis.tick_bottom()
ax1.yaxis.tick_left()
and finally, to color the ticks in red as well, do:
ax1.tick_params(color='red')
best,
--
Paul Ivanov
314 address only used for lists, off-list direct
)
#shown_lab[-1].set_visible(False)
plt.show()
best,
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Paul Ivanov
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attachment: hide-ticklabels.png
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From: Paul Ivanov pivanov...@gmail.com
To: Francois Maltey fmal...@nerim.fr
Cc:
cc:
Subject: Re: [Matplotlib-users] Is it possible to plot axes with arrows ?
Reply-To:
In-Reply-To: 4d496f84.7070...@nerim.fr
X-PGP-Key: http://pirsquared.org/PaulIvanov0F3E28F7.asc
Francois Maltey, on 2011-02-02
=err, color='g',linestyle='None',xuplims=True)
plt.show()
Hi Francesco,
plt.errorbar(x,y, yerr=err, color='g',linestyle='None',xuplims=True)
I'm not sure what you're hoping to see, but you should either use
xerr with xuplims, or yerr with uplims.
best,
--
Paul Ivanov
314 address only used
would be to set the ylim after the call to yticks,
like this:
plt.ylim(3.5, -0.5)
best,
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Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
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Jeremy Conlin, on 2011-02-01 16:48, wrote:
I'm trying to create a custom colormap used with pcolormesh, but the
results seem inconsistent to me. I want the following colors
-3 x = -2 - Black
-2 x = -1 - Blue
-1 x = 0 - Yellow
0 x = 1 - Green
1 x = inf - Red
-for-tick-labels
best,
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Paul Ivanov
314 address only used for lists, off-list direct email at:
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Paul Ivanov, on 2011-02-01 17:14, wrote:
Kris Kuhlman, on 2011-02-01 18:03, wrote:
I am trying to plot a large number of locations that need to be labeled.
Often the locations are quite clustered and the resulting text is
unreadable. I have been looking through the API and examples
On the other hand, if you just want the contour to not show up,
you can pass it alpha=0.0 to make it completely transparent and
invisible (but it's still there)
contourset = pyplot.contour(.., alpha=0.0)
# later call contourset.set_alpha(1.0) to make visible again
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Paul Ivanov
314 address
).
Che,
just make a numpy array out of your two lists, and you'll be able
to subtract one from the other.
import numpy as np
top = np.array(top)
bot = np.array(bot)
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Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
, z should be, and then
create a contour using
C = matplotlib.contour._cntr.Cntr(x,y,z)
and then for each level, do something like what
QuadContourSet._get_allsegs_and_allkinds does
C.trace(..)
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http
, times-bot, bottom=bot, align='center')
ax.yaxis_date()
fig.autofmt_xdate()
plt.show()
best,
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Paul Ivanov
314 address only used for lists, off-list direct email at:
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=350)
cbar = plt.colorbar()
cbar.ax.set_ylim(cbar.norm((300,350)))
cbar.ax.set_xlim(cbar.norm((300,350))) # maintain aspect ratio
cbar.set_ticks(np.linspace(300,350,6))
# didn't see a quick way to fix the outline
cbar.outline.set_visible(False)
cbar.ax.set_frame_on(True)
plt.draw()
best,
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Paul
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