A* \^ -
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__o ?
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Paul Ivanov
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seeing, please
open a new one.
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Paul Ivanov
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http://pirsquared.org
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Re
Try something like this:
from os import sys
from matplotlib import *
from numpy.random import rand
fig= pyplot.figure(figsize=(8,8), dpi=120)
pyplot.show()
while True:
z= rand(20,20)
pyplot.imshow(z)
pyplot.draw()
chr= sys.stdin.read(1)
if chr=='q':
break
pyplot.cl
appologies - sys.stdin.read(1) blocks until you give it a new line
() that' s probably what you were having problems with.
Paul Ivanov, on 2009-08-23 01:14, wrote:
> Try something like this:
>
>
> from os import sys
> from matplotlib import *
> from numpy.rand
0.0, 0.790
In [6]: my_rgba_array= np.array( [ [ 1. , 1. , 1. ],
[ 1. , 0. , 0. ]])
In [7]: myColormap = matplotlib.colors.ListedColormap(my_rgba_array)
In [8]: myColormap.__call__(.1)
Out[8]: (1.0, 1.0, 1.0, 1.0)
In [9]: myColormap.__call__(.9)
Out[9]: (1.0,
ar_scatter.py)
best,
Paul Ivanov
John Hunter, on 2008-11-23 07:36, wrote:
> On Sun, Nov 23, 2008 at 2:01 AM, Paul Ivanov <[EMAIL PROTECTED]> wrote:
>> I took a stab at it, how does this look?
>>
>> I also took the liberty of adding alpha to LinearSegmentedColormap and
Hi Jesper,
confirming the problem over here, as well. both numpy and mpl from svn
(also on an Ubuntu 8.04 machine).
good luck,
Paul
Jesper Larsen, on 2008-11-27 02:10, wrote:
> Hi Eric and Mauro,
>
> Thanks for your answers.
>
> 2008/11/27 Eric Firing <[EMAIL PROTECTED]>:
>> It looks OK to me
Eric Firing, on 2008-11-28 17:55, wrote:
> Paul Ivanov wrote:
>> Hi Jesper,
>>
>> confirming the problem over here, as well. both numpy and mpl from svn
>> (also on an Ubuntu 8.04 machine).
>
> Just checking: did you do a clean build of numpy (deleting any old bu
for the one that
is the furthest back, 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.
seful printed information leaves 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 GitH
]
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,
--
Paul Ivano
sure 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?
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.o
ter (Delete), and not
meant to be a printable character.
Maybe you already figured this out in following up with Ben, but if
not, can you 'print fh.name' before the while 1: in
_parse_char_metrics so we find out which .afm file is the culrpit
--
Paul Ivanov
314 address only used for
On Sat, Oct 22, 2011 at 7:54 AM, Rich Shepard wrote:
> On Fri, 21 Oct 2011, Paul Ivanov wrote:
> I will certainly add diagnostic code requested by you, Ben, and anyone
> else and report the results when trying to run the model. I do need to fix
> this and have no idea what's b
tplotlib?
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The demand for IT networking professionals continues to grow, and the
demand for spe
have been seeing "Found an
unknown keyword in AFM header (was Underline)" for the afm files 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-d
On Mon, Oct 24, 2011 at 3:26 PM, Rich Shepard 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
'm sure it's as frustrating for you as it is for me.
Well, I hope the dentist trip was more of a success :) Don't worry
about it - it's become kind of a fun challenge now.
I see you sent this just a few minutes ago - let's tr
On Tue, Oct 25, 2011 at 4:59 PM, Rich Shepard 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
els of the inner figure.
> I've tried set_frame_on on the axis, set_frameon on the figure,
> axisbg_color, and so on.
Would it be sufficient to set the background color behind the text
labels? If 'ax' is your inner axes, do:
ax.yaxis.label.set_backgroundcolor('red')
ax.
Oops, didn't reply to list last time:
On Fri, Nov 11, 2011 at 8:53 AM, Paul Ivanov wrote:
> On Tue, Nov 8, 2011 at 4:49 PM, magurling wrote:
>>
>> I want a legend without the black border. I've tried a few things that have
>> been suggested on this forum and else
>> On Fri, Nov 11, 2011 at 8:53 AM, Paul Ivanov wrote:
>>> might you be on an old matplotlib.__version__?
On Fri, Nov 11, 2011 at 11:18 AM, magurling wrote:
> This is probably it. I installed by "apt-get install" but keep getting
> version 0.99.3 installed.
&g
hey were having
along with how they resolved it, so that others can follow in their
footsteps later.
best,
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0, it's
more like 20.1000+change, in ipython, run '%precision 20' to
see what I mean.
Either the np.linspace or the mpl code likely needs to change,
because in mpl, the error gets raised when, effectively:
dx = np.diff(xi)
dx.max() - dx.min() > np.finfo(xi.dtype).resolu
ect in the plot, you
might have to play around with changing the axis formatters
(though there might be an easier way of doing that, which escapes
me right now)
best,
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Paul Ivanov
314 address only used for lists, off-list direct email at:
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ng point, as I include a discussion
on the limitation of mpl colormaps there.
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signature.asc
Descri
1.0001e-15
ipdb>
I believe that this has to do with the limited precision and
non-uniformity of the possible numbers 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 some
re instance, using something like:
f.set_size_inches(plt.rcParams['figure.figsize'], forward=True)
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
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-
t
it works as it should 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.
best,
--
Paul Ivanov
314 addr
.shape = all_y.shape = -1
H, yedges, xedges = np.histogram2d(all_y, all_x, bins=100)
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 r
imilar to yours by first doing
plot(1,0) before the plot_date call.
Can you try to create a new figure just before the call to plot_date?
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
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> index = np.intersect1d(lower, upper)
> ax1.plot(x[index], y[index], linestyle='-', color=color, linewidth=2)
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. Sca
ss, now :)
I want to second Ben's comments: I learned (and continue to
learn) quite a bit about 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
100*np.random.rand(12), 100*np.random.rand(12),
c=np.random.rand(12), s=np.random.rand(12)*100)
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/ra
putation.
Take a look 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))
best,
--
Paul I
ation=90,va='bottom',ha='center',**kw)
text.draw(fig.canvas.get_renderer())
ex = text.get_window_extent()
t = transforms.offset_copy(text._transform, y=ex.height, units='dots')
plt.figure()
rainbow_text(0.5,0.5,"all unicorns poop rainbows ! ! !"
o open up.
I'm still rather enjoying this whole thread, thanks for opening
up. I got worried how relatively quiet it's been here for a few
months, and glad we're starting to buck that trend.
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsq
ld be possible.
An alternative, of course, would 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...
best,
--
Paul Ivanov
314 ad
't
mind me forwarding the correspondence to the list for posterity.
> Again, thanks for your help.
>
Happy to be helpful,
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314 address only used for lists, off-list direct email at:
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version__ ? I think 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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Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirs
back, remove all but the last few bits of the file path
(since other folks won't necessarily be installing to the extact
path you've installeed to), and feed it to google.
The first google hit for "_path.so: no matching architecture in
universal wrapper" is this stackoverflow post:
, map_name in enumerate(plt.cm.cmap_d):
plot_gradient_hack((0, i), (1, i), cmap = map_name, linewidth=4)
plt.text(1,i, map_name, va='center')
# comment out this last line to plot al
example here:
http://pirsquared.org/blog/2010/06/07/ca-prop/
best,
Paul Ivanov
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personal correspondence to my initials (two letters) at berkeley dot edu.
-
e is needed for the Phoenix project and their arrival
at Mars will be in March sometime, but they are doing their testing
in the coming few months. This annotation feature is used on
reports that present the analysis of the trajectory to the
navigation team and it shows up on o
_to_anchor=(.85,.85))
leg2 = ax2.legend(loc='upper left', borderaxespad=0,
bbox_to_anchor=(.85,.85))
thanks in advance,
Paul Ivanov
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Show off your paralle
Paul Ivanov, on 2010-09-06 18:01, wrote:
> I want to have two legends (from different axes) positioned right up
> against on another.
>
> Here's a static example, except I want the second legend to be defined
> relative to the first (if leg is moved, I want leg2 to move as w
l of them cause
crashes. Am I missing something?
I'm using 1.0.0 with WXAgg
thanks,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
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--
r Lab #1, it's called lab1.py
(but actually links to lab1.txt):
<http://redwood.berkeley.edu/wiki/VS265:_Homework_assignments>
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
--
Alan G Isaac, on 2010-10-28 21:29, wrote:
> On 10/27/2010 8:21 PM, Paul Ivanov wrote:
> >def onelegend_twinaxes(axis,twin):
> >#make a joint axis legend
> >lines = twin.get_lines()
> >lines.extend(axis.get_lines())
> >label
it to this and the devel list - they
(frustratingly) don't send you your own copy back when you post
something. I usually verify that the post went through my
checking gmane or sourceforge archives.
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared
nates using
l = plt.legend()
bbox = l.get_window_extent()
bbox.width,bbox.height
or in axes coordinates using something like
bbox2 = bbox.transformed(l.axes.transAxes.inverted())
bbox2.width,bbox2.height
The bboxes have other handy attributes like p0,p1,x0,x1,y0,y1
etc, as well as methods like
.get_lines())
labels = [l.get_label() for l in lines]
leg = ax.legend(lines, labels)
# or, alternatively...
leg2 = plt.figlegend(lines,labels,loc='center')
this is a slight revision to what was previously discussed here:
<http://old.nabble.com/aligning-multiple-legends-td29
example and it's source code:
http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d/tutorial.html#scatter-plots
for your purposes, the code will be something like:
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projecti
milar problem for twiny() - but ax.xaxis does
not appear to have .set_offset_position() method.
> I've had this issue with versions .99, 1.0.0, running on Linux
> (Ubuntu, versions 9.04 through to 10.10).
me too, and I kept forgetting to report it.
> PS. what's wrong with the sf.ne
use a boolean mask.
from numpy.random import rand, randint
import matplotlib.pyplot as plt
x,y = rand(2,100)
z = randint(1,6,100)
for i,c,m in zip(range(1,6),'rgbmk', 'odp*s'):
mask = z==i
plt.plot(x[mask],y[mask], color=c, marker=m)
hope that helps,
--
Paul Ivanov
314
t
plt.step(edges[1:],h) # plot as step lines instead of bars
plt.step(edges[1:]+10,h) # same as above, with an offset
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
sign
et to get the job done, but I couldn't figure out a way
to get my last two examples to do something similar by just
manipulating the transforms.
Hopefully someone chimes in with a better solution. For more on
transformations see:
http://matplotlib.sourceforge.net/users/transforms_tutorial.html
.com/ipython/ipython/issues/issue/237
but if you think the WX backend is also affected - it might just be
that you're not starting ipython with the -pylab flag to get the
threading to work without blocking. Can you try starting "ipython
-pylab -gthread" and "ipython -pylab -wt
tlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html
best
--
Paul Ivanov
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http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
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Description: Digital signature
---
Gf B, on 2011-01-04 12:31, wrote:
> On Mon, Jan 3, 2011 at 3:53 PM, Paul Ivanov wrote:
> Gf B, on 2011-01-03 15:23, wrote:
> > > Can such a "grid of grids" be done with matplotlib? If so, could someone
> > > show me how?
> >
> > You'll be
ation='horizontal')
In [216]: cb3.set_label("colormap interval 0.0-1.0")
In [217]: plt.draw()
And to further clarify that we did the right thing, let's adjust
the xlim on that original plot.
In [221]: ax2.set_xlim(norm(14),norm(40))
Out[
cator._base
Out[2]: 10.0
> 2) I'd like the major ticks to be solid lines, and minor ticks
> to be dashed. I got all dashed.
In [3]: plt.grid(which='major', linestyle='solid')
In [4]: plt.grid(which='minor', linestyle='dashed')
--
Paul Ivanov
31
el('"percent"')
cb2 = mpl.colorbar.ColorbarBase(ax2, cmap=newcm,
orientation='horizontal')
cb2.set_label("colormap interval 0.0-1.0")
plt.subplots_adjust(hspace=.7, bottom=.2)
#comment out the next line to see t
;)
is what you can use to set the grid line color (and other aspects, like
linewidth, linestyle, alpha, etc).
hope that helps,
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Paul Ivanov
314 address only used for lists, off-list direct email at:
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Description: Digital signature
nd how you're
offsetting each year, there's just not room left between the
indexes that you're using. Just change your ind assignment line
to this:
ind = np.arange(0, 2*N, 2)
this spaces your indexes out more.
hope that helps,
--
Paul Ivanov
314 address only used for lists, off
ator to locator,
but you can quickly figure it out in ipython using tab completion
in IPython once you grab a given locator object.
best,
--
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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De
d
then call set_visible(False) on every member of that list.
lines = plot_date([2000.10,2000.20,2000.30],[1,2,3])
[l.set_visible(False) for l in lines]
or something like this to toggle visibility on and off
[l.set_visible(not l.get_visible()) for l in lines]
best,
--
Paul Ivanov
314
NullFormatter, thus no labels will be placed at the minor tick
locations. That would be a reasonable way to proceed - set the
major ticks to be non-overlapping, and put the minor ones
everywhere else.
You've probably already found it, but just in case:
http://matplotlib.sourceforge.net/api/ti
http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.Normalize
2.
http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.LogNorm
--
Paul Ivanov
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fancier, with the AxesGrid toolkit [2]
1. http://matplotlib.sourceforge.net/users/gridspec.html
2.
http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/index.html#toolkit-axes
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
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h axes
subplot, which is what you were seeing through the transparent
portion of your masked array image.
best,
--
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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---
From: Paul Ivanov
To: Larry Evans
Cc:
Bcc:
Subject: Re: [Matplotlib-users] what does numRows, numCols in subplot docs
mean?
Reply-To:
In-Reply-To: <4d32e05d.4090...@suddenlink.net>
X-PGP-Key: http://pirsquared.org/PaulIvanov0F3E28F7.asc
Larry Evans, on 2011-01-16 06:11, wrote:
>
numpy since you last built matplotlib?
Can you try deleting ../site-packages/matplotlib, and the build/
directory for your sources of mpl1.0.1 and reinstall? Please
report back either way so we get a handle on this.
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
change to rcParams only affected the
displayed resolution, not the resolution of saved files.
Quoting from .matplotlibrc
# the default savefig params can be different from the display params
# Eg, you may want a higher resolution, or to make the figure
# background white
#savefig.dpi
tead of calling
legend on your 'lines' variable as you had it, do this:
actual_lines = [cs.collections[0] for cs in lines]
plt.legend(actual_lines, text)
As you note, the call to plt.countour does not return lines, it
returns contour sets (which is
feeling is that there shouldn't be a need to use ImageMagick -
but depending on the size and dpi of your desired figures, is the
problem that the text is not being antialiased?
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/P
Daryl Herzmann, on 2011-01-21 16:41, wrote:
> On Fri, Jan 21, 2011 at 4:15 PM, Paul Ivanov wrote:
>
> > I guess I'm not sure what you meant by the fonts looking 'nasty',
> > so if font.size doesn't address your issue, could you post a
> > small examp
etc for producing images at various scales)
Reply-To:
In-Reply-To: <20110121232036.GA26739@ykcyc>
X-PGP-Key: http://pirsquared.org/PaulIvanov0F3E28F7.asc
Paul Ivanov, on 2011-01-21 15:20, wrote:
> I'm almost certain that one *can* write a function to do this
> pro grammaticall
mething you really want, though, you can achieve it
by making your own projection/scale:
http://matplotlib.sourceforge.net/devel/add_new_projection.html
Yet another way would be to re-label the tick lines (e.g. make .6
label be 1.0 and subtract that offset from your two outliers.
best,
--
Paul Ivanov
31
gt;>> mpl.__path__
> ['matplotlib']
>
> >>> mpl.__file__
> 'matplotlib/__init__.pyc'
Hi Glen,
what directory are you in when you're doing this?
> >>> mpl.__path__
> ['matplotlib']
suggests that you're importing from some
Paul Ivanov, on 2011-01-22 18:28, wrote:
> Ilya Shlyakhter, on 2011-01-22 19:06, wrote:
> > Is it possible to create a "break" in the y-axis so that it has ticks
> > for value 0-.2, then ticks for values .8-1.0, but devotes only a token
> > amount of space to
Eric Firing, on 2011-01-22 17:49, wrote:
> >> Paul Ivanov, on 2011-01-22 18:28, wrote:
>
> Paul,
>
> Your example below is nice, and this question comes up quite often. If
> we don't already have a gallery example of this, you might want to add
> one. (Prob
#x27;bar')
grid2[0].xaxis.label.set_visible(True) # tmp workaround
grid2[1].xaxis.set_label_position('top')
grid2[1].xaxis.set_label_text('bar')
grid2[0].yaxis.set_label_position('right')
grid2[0].yaxis.set_label_text('foo')
grid2[1].yaxis.set_label_position('
can do to change the angle manually?
# prevent the automatic rotation caused by view changes
ax.yaxis.set_rotate_label(False)
ax.yaxis.label.set_rotation(45)
Beware that you'll have to adjust that angle on a per-view basis
to get things to look right.
best,
--
Paul Ivanov
314 address only
ugarFloater.gif
Hi Che,
just specify the 'bottom' keyword argument to bar. Note that the
second parameter is height of the bar, *not* the top of the bar
plt.bar([1,2,3,4], [2,2.5,5,3], bottom=[0,-1,1,2])
best,
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Paul Ivanov
314 address only used for lists, off-list direct email at
the outline
cbar.outline.set_visible(False)
cbar.ax.set_frame_on(True)
plt.draw()
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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---
which isn't an allowed date, hence the error. Change your bar
line to this (I also added align='center', but you can remove it
if you want):
> #comment in
bot = times.min().round()
ax.bar(x, times-bot, bottom=bot, align='center')
>
> ax.yaxis_date()
> fig.autofmt
erence between using pyplot and
using the object-oriented api here:
http://matplotlib.sourceforge.net/faq/usage_faq.html
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 =
such that this can work? (For some reason
> I have not had nearly this much confusion with plotting lines, just
> bars).
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)
be
;ll have to look at what QuadContourSet._contour_args
does internally to see what what x, y, 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,
--
p.sin(x)
> > err = np.random.random(100)
> >
> > plt.errorbar(x,y, yerr=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 w
on fairly recent checkout of svn trunk, so it may be an
issue that was recently fixed.
one workaround would be to set the ylim after the call to yticks,
like this:
plt.ylim(3.5, -0.5)
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsqu
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
used to
implement such functionality:
http://matplotlib.sourceforge.net/faq/howto_faq.html#automatically-make-room-for-tick-labels
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://
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 lookin
From: Paul Ivanov
To: Francois Maltey
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 15:51, wrote:
> Hell
Francesco Montesano, on 2011-02-04 17:01, wrote:
> Dear all again,
>
> I've tried to play with it again, but I couldn't find a
> solution for the problem. For clarity I report an example of
> what each of the subplots looks like:
Hi Francesco,
thanks for the clarification, here are two ways to
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