matplotlib-users Mailing List for matplotlib (Page 8)

On Wed, Mar 14, 2012 at 5:44 AM, kususe <ku...@in...> wrote:
>
> Hi folks,
> I have a graph got using the subplot command.
> I'd like to remove all ticks in X axis in all of graph.
>
> I used: plt.setp(plt.gca(),'XtickLabel',[])
>
> but I get that:
>
> File "/usr/lib/pymodules/python2.6/matplotlib/artist.py", line 1169, in
> setp
> func = getattr(o,funcName)
> AttributeError: 'AxesSubplot' object has no attribute 'set_xticklabel'
>
> Suggestions?
> Thanks in advance
> K
>
>
You're missing an "s"; i.e. "xticklabels". Also, the more conventional
pattern is to call the axes method, i.e.:
 >>> ax = plt.gca()
 >>> ax.set_xticklabels([])
or, if want to remove both labels and the tick-lines
 >>> ax.set_xticks([])
Best,
-Tony

On Wed, Mar 14, 2012 at 6:02 AM, kususe <ku...@in...> wrote:
>
> Hi folks,
> I've to draw an arrow.
> I used Arrow() function:
>
> pa.Arrow(0, 0, x, y, width=1.0)
>
> where I imported
>
> matplotlib.patches as pa
>
> Now, how to use plot() function di display the figure?
>
> Tanks in advance,
> K.
> --
> View this message in context:
> http://old.nabble.com/How-to-draw-an-arrow-tp33500720p33500720.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
Hi,
You need to add the patch to the current axes. For example,
#~~~
import matplotlib.pyplot as plt
from matplotlib import patches
arr = patches.Arrow(0,0,1,1)
ax = plt.gca()
ax.add_patch(arr)
plt.show()
#~~~
When you create a Matplotlib artist (here a `Patch` artist) with pyplot
(e.g. `plt.plot` creates a Line2D instance), pyplot takes care of matching
artist with axes. Artists themselves don't know anything about where you're
plotting, so you have to tell it where to go.
-Tony

Hi,
Recently on several occasions I have gotten the response "Too many
requests, please try again later." when trying to go to a matplotlib
webpage. Have others experienced this also? Is this a problem with
sourceforge? I'm wondering what could be done about this. It's very
annoying when, for example, you want to see the source code for some
useful example and you have to try back several times to get to the
page.
Jon
-- 
______________________________________________________________
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js...@cf... 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
 cell: (781) 363-0035 USA
______________________________________________________________

Hi folks, 
I've to draw an arrow. 
I used Arrow() function:
pa.Arrow(0, 0, x, y, width=1.0)
where I imported 
matplotlib.patches as pa
Now, how to use plot() function di display the figure?
Tanks in advance, 
K.
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Hi folks, 
I have a graph got using the subplot command. 
I'd like to remove all ticks in X axis in all of graph. 
I used: plt.setp(plt.gca(),'XtickLabel',[]) 
but I get that:
File "/usr/lib/pymodules/python2.6/matplotlib/artist.py", line 1169, in setp
 func = getattr(o,funcName)
AttributeError: 'AxesSubplot' object has no attribute 'set_xticklabel'
Suggestions?
Thanks in advance
K
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also I have tried running it on a different computer and the same error
occurred
On Wed, Mar 14, 2012 at 8:22 AM, questions anon <que...@gm...>wrote:
> thanks for looking into this Goyo.
> The complete code:
>
>
> import numpy as N
> import matplotlib.pyplot as plt
> from numpy import ma as MA
> from mpl_toolkits.basemap import Basemap
> import os
>
> shapefile="E:/GIS_layers/DSE_REGIONS"
> inputfile=r"d:/BoMdata/r19000117.txt"
> outputfolder=r"d:/BoMdata/outputfolder"
>
> f=N.genfromtxt(inputfile, skip_header=6, dtype=float, names=True)
> print f[0:5]
>
>
> map = Basemap(projection='merc',llcrnrlat=-45,urcrnrlat=-9,
> llcrnrlon=111.975,urcrnrlon=156.525,lat_ts=0,resolution='i')
> map.drawcoastlines()
> map.drawstates()
> map.readshapefile(shapefile, 'DSE_REGIONS')
>
> xi=N.linspace(111.975, 156.275, 886)
> yi=N.linspace(-44.525, -9.975, 691)
> x,y=map(*N.meshgrid(xi,yi))
> plt.title('rainfall')
> CS = map.contourf(x,y, f, 15,cmap=plt.cm.jet)
> l,b,w,h =0.1,0.1,0.8,0.8
> cax = plt.axes([l+w+0.025, b, 0.025, h])
> plt.colorbar(CS,cax=cax, drawedges=True)
> plt.savefig((os.path.join(outputfolder, 'rainfall.png')))
> plt.show()
> plt.close()
>
>
> and the complete error:
>
>
> Traceback (most recent call last):
> File "d:/BoMdata/plotrainfall_v2.py", line 23, in <module>
>
> CS = map.contourf(x,y, f, 15,cmap=plt.cm.jet)
> File "C:\Python27\lib\site-packages\mpl_toolkits\basemap\__init__.py",
> line 3072, in contourf
> np.logical_or(outsidemask,np.logical_or(ma.getmaskarray(data),xymask))
> AttributeError: logical_or
>
> Any feedback/ideas will be greatly appreciated.
>
>
>
>
> On Wed, Mar 14, 2012 at 4:59 AM, Goyo <goy...@gm...> wrote:
>
>> El día 12 de marzo de 2012 23:25, questions anon
>> <que...@gm...> escribió:
>> [...]
>> >
>> > Is this how the data should look when it has been imported from an
>> ascii to
>> > a numpy array?
>>
>> I can't see anything obiously wrong in your code or your data --I did
>> not dive too deep into it though. What is weird is the traceback:
>>
>> Traceback (most recent call last):
>> File "d:\plotrainfall.py", line 40, in <module>
>> CS = map.contourf(x,y, f, 15,cmap=plt.cm.jet)
>> File "C:\Python27\lib\site-packages\mpl_toolkits\basemap\__init__.py",
>> line 3072, in contourf
>> np.logical_or(outsidemask,np.logical_or(ma.getmaskarray(data),xymask))
>> AttributeError: logical_or
>>
>> Is that the complete traceback?
>>
>> Goyo
>>
>
>

thanks for looking into this Goyo.
The complete code:
import numpy as N
import matplotlib.pyplot as plt
from numpy import ma as MA
from mpl_toolkits.basemap import Basemap
import os
shapefile="E:/GIS_layers/DSE_REGIONS"
inputfile=r"d:/BoMdata/r19000117.txt"
outputfolder=r"d:/BoMdata/outputfolder"
f=N.genfromtxt(inputfile, skip_header=6, dtype=float, names=True)
print f[0:5]
map = Basemap(projection='merc',llcrnrlat=-45,urcrnrlat=-9,
 llcrnrlon=111.975,urcrnrlon=156.525,lat_ts=0,resolution='i')
map.drawcoastlines()
map.drawstates()
map.readshapefile(shapefile, 'DSE_REGIONS')
xi=N.linspace(111.975, 156.275, 886)
yi=N.linspace(-44.525, -9.975, 691)
x,y=map(*N.meshgrid(xi,yi))
plt.title('rainfall')
CS = map.contourf(x,y, f, 15,cmap=plt.cm.jet)
l,b,w,h =0.1,0.1,0.8,0.8
cax = plt.axes([l+w+0.025, b, 0.025, h])
plt.colorbar(CS,cax=cax, drawedges=True)
plt.savefig((os.path.join(outputfolder, 'rainfall.png')))
plt.show()
plt.close()
and the complete error:
Traceback (most recent call last):
 File "d:/BoMdata/plotrainfall_v2.py", line 23, in <module>
 CS = map.contourf(x,y, f, 15,cmap=plt.cm.jet)
 File "C:\Python27\lib\site-packages\mpl_toolkits\basemap\__init__.py",
line 3072, in contourf
 np.logical_or(outsidemask,np.logical_or(ma.getmaskarray(data),xymask))
AttributeError: logical_or
Any feedback/ideas will be greatly appreciated.
On Wed, Mar 14, 2012 at 4:59 AM, Goyo <goy...@gm...> wrote:
> El día 12 de marzo de 2012 23:25, questions anon
> <que...@gm...> escribió:
> [...]
> >
> > Is this how the data should look when it has been imported from an ascii
> to
> > a numpy array?
>
> I can't see anything obiously wrong in your code or your data --I did
> not dive too deep into it though. What is weird is the traceback:
>
> Traceback (most recent call last):
> File "d:\plotrainfall.py", line 40, in <module>
> CS = map.contourf(x,y, f, 15,cmap=plt.cm.jet)
> File "C:\Python27\lib\site-packages\mpl_toolkits\basemap\__init__.py",
> line 3072, in contourf
> np.logical_or(outsidemask,np.logical_or(ma.getmaskarray(data),xymask))
> AttributeError: logical_or
>
> Is that the complete traceback?
>
> Goyo
>

On 03/13/2012 09:17 AM, John Hunter wrote:
>
>
> On Tue, Mar 13, 2012 at 1:20 PM, Federico Ariza
> <ari...@gm... <mailto:ari...@gm...>> wrote:
>
> Hi
>
> That is exactly what I am doing, but I thought it was kept somewhere.
>
> I like the idea of upstream modification of relim.
>
>
> It would be trivial to add a kwarg to relim:
>
> include_invisible=True
>
> which defaults to the current behavior.
> def relim(self, include_invisible=True):
> """
> Recompute the data
> limits based on current artists. If you want to exclude
> invisible artists from the calculation, set
> `include_invisible=False`
>
> At present, :class:`~matplotlib.collections.Collection`
> instances are not supported.
> """
> # Collections are deliberately not supported (yet); see
> # the TODO note in artists.py.
> self.dataLim.ignore(True)
> self.ignore_existing_data_limits = True
> for line in self.lines:
> if include_invisible or line.get_visible():
> self._update_line_limits(line)
>
> for p in self.patches:
> if include_invisible or p.get_visible():
> self._update_patch_limits(p)
>
>
> But include_invisible isn't the most intuitive name...
visible_only=False is shorter.
Eric
>
> JDH
>
>
>
>
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I don't think so, I thought I paid attention when I noticed the choice
between 'subplot' and 'subplots'.
In any case, now there does not seem to be a choice, there is no
'subplots'...there is only 'subplot'...was this page modified? 'cause the
Last Updated notice at the bottom of the page still says Oct 30, 2011..
...I am confused.
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On Tue, Mar 13, 2012 at 1:20 PM, Federico Ariza <ari...@gm...>wrote:
> Hi
>
> That is exactly what I am doing, but I thought it was kept somewhere.
>
> I like the idea of upstream modification of relim.
>
>
It would be trivial to add a kwarg to relim:
include_invisible=True
which defaults to the current behavior.
 def relim(self, include_invisible=True):
 """
 Recompute the data
 limits based on current artists. If you want to exclude
 invisible artists from the calculation, set
 `include_invisible=False`
 At present, :class:`~matplotlib.collections.Collection`
 instances are not supported.
 """
 # Collections are deliberately not supported (yet); see
 # the TODO note in artists.py.
 self.dataLim.ignore(True)
 self.ignore_existing_data_limits = True
 for line in self.lines:
 if include_invisible or line.get_visible():
 self._update_line_limits(line)
 for p in self.patches:
 if include_invisible or p.get_visible():
 self._update_patch_limits(p)
But include_invisible isn't the most intuitive name...
JDH

On Tue, Mar 13, 2012 at 1:51 PM, Alan G Isaac <ala...@gm...> wrote:
> On 3/13/2012 1:59 PM, gsal wrote:
> > It does come up for me.
>
>
> You are probably looking at ``subplot``
> rather than ``subplots``, which is missing.
>
>
I can make a pull request to fix this and some other issues I have noticed
today.
Ben Root

Ben
Yest It is called remove but not destroy ;)
Given that the relim takes in count the invisible lines, I thougth it was
planned that you could "remove" and "add" the lines from its axes.
Thanks
Federico
On Tue, Mar 13, 2012 at 2:44 PM, Benjamin Root <ben...@ou...> wrote:
>
>
> On Tue, Mar 13, 2012 at 1:20 PM, Federico Ariza <ari...@gm...>wrote:
>
>> Hi
>>
>> That is exactly what I am doing, but I thought it was kept somewhere.
>>
>> I like the idea of upstream modification of relim.
>>
>> Thanks
>> Federico
>>
>>
> Federico,
>
> Why would you think it is kept somewhere? The method is called "remove",
> after all. I am curious because I want to know if improvements are needed
> to the documentation.
>
> As for relim(), I am thinking the autoscaling system needs another
> revamp. I have ran into subtle issues with data limits that could not be
> easily fixed in the current design.
>
> <rant>
> Everything plottable should have a get/set for x and y data, as well as
> get/set for "data" (which may or may not be the same as the get/set for y.
> Note that there might be some confusion regarding scalar mappables. I
> think this might be the source of confusion where some collections have
> set_data() while others have set_array().
> Also, not all objects, for some reason, implement remove(), or something
> else messed up that I am not clear about.
> </rant>
>
> Cheers!
> Ben Root
>
>
-- 
Y yo que culpa tengo de que ellas se crean todo lo que yo les digo?
-- Antonio Alducin --

On 3/13/2012 1:59 PM, gsal wrote:
> It does come up for me.
You are probably looking at ``subplot``
rather than ``subplots``, which is missing.
Alan Isaac

On 3/13/2012 1:59 PM, gsal wrote:
> It does come up for me.
You are probably looking at ``subplot``
rather than ``subplots``.
Alan Isaac

On Tue, Mar 13, 2012 at 1:20 PM, Federico Ariza <ari...@gm...>wrote:
> Hi
>
> That is exactly what I am doing, but I thought it was kept somewhere.
>
> I like the idea of upstream modification of relim.
>
> Thanks
> Federico
>
>
Federico,
Why would you think it is kept somewhere? The method is called "remove",
after all. I am curious because I want to know if improvements are needed
to the documentation.
As for relim(), I am thinking the autoscaling system needs another revamp.
I have ran into subtle issues with data limits that could not be easily
fixed in the current design.
<rant>
Everything plottable should have a get/set for x and y data, as well as
get/set for "data" (which may or may not be the same as the get/set for y.
Note that there might be some confusion regarding scalar mappables. I
think this might be the source of confusion where some collections have
set_data() while others have set_array().
Also, not all objects, for some reason, implement remove(), or something
else messed up that I am not clear about.
</rant>
Cheers!
Ben Root

Thanks for the suggestions, Darren.
I spent some time going through older revisions of Matplotlib (and
Numpy and SciPy) and it turns out that it isn't an issue with
Matplotlib as I originally suspected, but rather how I went out
updated an imshow-based plot. Previously I was attempting to plot an
image first, then set then use the result to create a
FigureCanvasQTAgg instance:
 import matplotlib.pyplot as plt
 figure = plt.figure()
 self.axes = figure.add_subplot(111)
 self.axes.imshow(...)
 self.figure = figure
 FigureCanvasQTAgg.__init__(self, self.figure)
This works in some environments and it happened to work at the time I
originally developed the code, but is not the best way to do things.
A better way is to first instantiate a Figure instance:
 self.figure = Figure()
 self.axes = self.figure.add_subplot(111)
 self.axes.imshow(...)
 FigureCanvasQTAgg.__init__(self, self.figure)
For now this seems to do the trick. If anyone knows of a better way to
do things, please let me know.
Thanks!
Keith
On Mon, Mar 12, 2012 at 11:57 AM, Darren Dale <dsd...@gm...> wrote:
>
> Have you tried running with older checkouts on the master branch to
> see when the problem was introduced? You can do something like:
>
> git log --oneline --graph lib/matplotlib/backends/backend_qt4.py # or
> backend_qt4agg.py
>
> to see what commits were applied to master but not v1.0.x. Try
> bisecting the commit history to find the commit that introduced the
> problem (which you might want to describe in a little more detail.)
>
> Darren
>
> On Mon, Mar 12, 2012 at 10:13 AM, Keith Hughitt <kei...@gm...> wrote:
> > *bump*
> >
> > Anyone else encountering this problem?
> >
> >
> > On Tue, Mar 6, 2012 at 4:06 PM, Keith Hughitt <kei...@gm...>
> > wrote:
> >>
> >> Hey all,
> >>
> >> Anyone know what has changed from Maplotlib 1.0.x to 1.1.x that might
> >> cause a PyQt4 application to segfault?
> >>
> >> Here is the code I'm working
> >> on: https://github.com/sunpy/sunpy/blob/master/doc/examples/rgb_composite/rgb_composite.py
> >>
> >> It works fine with earlier versions of Matplotlib (0.99 and 1.0.x) but
> >> when I try and run the demo with Matplotlib 1.1 I get a segfault.
> >>
> >> Any ideas?
> >>
> >> Thanks,
> >> Keith
> >>
> >
> >
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Hi
That is exactly what I am doing, but I thought it was kept somewhere.
I like the idea of upstream modification of relim.
Thanks
Federico
On Tue, Mar 13, 2012 at 2:13 PM, Goyo <goy...@gm...> wrote:
> El día 13 de marzo de 2012 00:25, Federico Ariza
> <ari...@gm...> escribió:
> > [...]
> > I want to turn visibility on and off for lines.
> > I can not use the visible property, using it the autolimits "relim" keeps
> > considering the lines as being there.
> > As consequence the limits are wrong (if we think only on the visible
> lines).
>
> I faced this some time ago and my workaround was writing my own
> (simplified) version of relim, if memory serves. But this may not fit
> your needs here. Maybe a better solution is modify relim upstream so
> it can take visibility into account (maybe using a new keyword). Just
> a quick thought.
>
> > So I resorted to remove the line from its axes by line.remove()
> >
> > The question is:
> > If I do not want to use another variable to keep track of this line, how
> can
> > I find it again from the figure instance (or somewhere else)?
> > get_children gets me nowhere.... or maybe?
>
> I don't think matplotlib keeps a reference to a line object after you
> remove it from the axes. If I'm right and you want to follow that path
> you'll need to track it yourself.
>
> Regards
>
> Goyo
>
-- 
Y yo que culpa tengo de que ellas se crean todo lo que yo les digo?
-- Antonio Alducin --

El día 13 de marzo de 2012 00:25, Federico Ariza
<ari...@gm...> escribió:
> [...]
> I want to turn visibility on and off for lines.
> I can not use the visible property, using it the autolimits "relim" keeps
> considering the lines as being there.
> As consequence the limits are wrong (if we think only on the visible lines).
I faced this some time ago and my workaround was writing my own
(simplified) version of relim, if memory serves. But this may not fit
your needs here. Maybe a better solution is modify relim upstream so
it can take visibility into account (maybe using a new keyword). Just
a quick thought.
> So I resorted to remove the line from its axes by line.remove()
>
> The question is:
> If I do not want to use another variable to keep track of this line, how can
> I find it again from the figure instance (or somewhere else)?
> get_children gets me nowhere.... or maybe?
I don't think matplotlib keeps a reference to a line object after you
remove it from the axes. If I'm right and you want to follow that path
you'll need to track it yourself.
Regards
Goyo

It does come up for me.
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El día 12 de marzo de 2012 23:25, questions anon
<que...@gm...> escribió:
[...]
>
> Is this how the data should look when it has been imported from an ascii to
> a numpy array?
I can't see anything obiously wrong in your code or your data --I did
not dive too deep into it though. What is weird is the traceback:
Traceback (most recent call last):
 File "d:\plotrainfall.py", line 40, in <module>
 CS = map.contourf(x,y, f, 15,cmap=plt.cm.jet)
 File "C:\Python27\lib\site-packages\mpl_toolkits\basemap\__init__.py",
line 3072, in contourf
 np.logical_or(outsidemask,np.logical_or(ma.getmaskarray(data),xymask))
AttributeError: logical_or
Is that the complete traceback?
Goyo

Just noticed that ``subplots`` documentation is missing from
the homepage http://matplotlib.sourceforge.net/index.html
I assume this is an oversight, so I'm reporting it.
fwiw,
Alan Isaac

Here are some imports: 
# PyQt4 modules 
from PyQt4.QtCore import * 
from PyQt4.QtGui import * 
# matplotlib modules 
import matplotlib.patches as mpathes 
import matplotlib.text as mtext 
import matplotlib.lines as mlines 
from matplotlib.path import Path 
from matplotlib.collections import LineCollection 
from matplotlib.figure import Figure 
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as
FigureCanvas 
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QTAgg as
NavigationToolbar 
And this: 
matplotlib.__version__ => 0.99.1.1 
I am afraid I may not be able to run a rather minimal app right away since
this is somebody else's Qt app, pretty large, that I am trying to add some
plotting...I will see if I can get start another minimal Qt app... 
For now, there isn't much of a problem with the application, it is just that
I inspect the mouseevent from within the picker function and I get this 
None 
1 
<matplotlib.collections.LineCollection object at 0x132fa0d0> 
where 
None is the key 
1 is the mouse button pressed 
and the rest is the artist 
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Here are some imports: 
# PyQt4 modules
from PyQt4.QtCore import *
from PyQt4.QtGui import *
# matplotlib modules
import matplotlib.patches as mpathes
import matplotlib.text as mtext
import matplotlib.lines as mlines
from matplotlib.path import Path
from matplotlib.collections import LineCollection
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as
FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QTAgg as
NavigationToolbar
And this:
matplotlib.__version__ => 0.99.1.1
I am afraid I may not be able to run a rather minimal app right away since
this is somebody else's Qt app, pretty large, that I am trying to add some
plotting...I will see if I can get start another minimal Qt app...
For now, there isn't much of a problem with the application, it is just that
I inspect the mouseevent from within the picker function and I get this
None
1
<matplotlib.collections.LineCollection object at 0x132fa0d0>
where
None is the key
1 is the mouse button pressed
and the rest is the artist
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On Tue, Mar 13, 2012 at 10:05 AM, gsal <sal...@gm...> wrote:
>
> Say, on Windows, the mouseevent.key correctly comes in as control, shift,
> or
> a letter...on Linux, it does not....I am always getting None.
>
> is this a known problem with known solution?
>
>
We need more information, what is your backend, what is you GUI toolkit
version? If you post a minimal script that exposes the problem, and run it
with --verbose-helpful and post the output, we can see if we can replicate
the problem.
JDH

On Tue, Mar 13, 2012 at 10:05 AM, gsal <sal...@gm...> wrote:
>
> Say, on Windows, the mouseevent.key correctly comes in as control, shift,
> or
> a letter...on Linux, it does not....I am always getting None.
>
> is this a known problem with known solution?
>
>
Which backend are you using? Also, which mouse event are you using where
you expect a key value? I would expect to use a key press event to process
.key values.
Ben Root