Re: [Matplotlib-users] Color in table help please! I have already searched previous posts
On Tue, Feb 16, 2010 at 2:15 PM, duckman wrote: > I am trying to make the table at the bottom and the lines the same color. I > took the code from one of the online examples and modified it to do most of > what I want but cannot get the color in the table working properly! Can > someone please help? Thank you > Do you want the background of the row labels to match your line colors? The answer seems to be so trivial and I'm not sure if this is what you want. the_table = table(cellText=cellText, rowLabels=rowLabels, rowColours=linecolor, colLabels=colLabels, loc='bottom') -JJ -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] DateFormatter + Latex issue
On Tue, Feb 16, 2010 at 3:57 PM, Ernest Adrogué wrote:
> 16/02/10 @ 16:20 (-0500), thus spake Filipe Pires Alvarenga Fernandes:
>> "\\" works for titles and label, but not for DateFormatter, but \vspace did
>> the trick!
>>
>> Thanks again for the help.
>>
>> ps: I'm new to python, but maybe there is a way to mix Latex and unicode?
>
> Yes, the inputenc package from latex lets you use unicode.
> Try adding this to your script:
> plt.rc('text.latex', preamble='\usepackage[utf]{inputenc}')
>
> Note that this setting is not officially supported, whatever
> that means :)
I think it means that Darren, who did most of the heavy lifting for
these features, was getting tired of the endless line of additional
things TeX users wanted to do and the difficulties supporting these
across all platforms (eg MikTex on Windows) and drew a line in the
sand saying "I'll add this stuff but if you report problems I may not
stay up all night trying to fix them".
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Re: [Matplotlib-users] half-filled markers, two-colors
On Mon, Feb 15, 2010 at 8:28 PM, T J wrote: > On Mon, Feb 15, 2010 at 5:22 PM, John Hunter wrote: >> Very nice and thorough work. I think this should be included, but >> I'll wait to hear from other developers before committing. Could you >> confirm that the unit tests pass? >> > import matplotlib > matplotlib.test() >> > > Confirmed on rev 8133: > > Ran 124 tests in 341.585s > > FAILED (KNOWNFAIL=2, errors=2) > and the errors were something to do with hexbin extents and the figimage > method. > Great -- I committed this patch in r8138 >> I think the markerangle would also be a useful contribution, though it >> would render some of the markers redundant (eg triangle left, right, >> etc, would all just be triangles with different angles...) >> > > That was a concern I had as well, but I suppose > ^ v < (etc) could > just be considered shortcuts to particular angles. Presumably, we > would not be removing them. Correct? Also, is the standard to have > the angle specified in degrees? So what is more useful: markerangle > or markerdeg? We would definitely be leaving these as shortcuts and for backward compatibility. And yes the standard is to use degrees -- for consistency with the text "rotation" property, we may want markerrotation specified in degrees. > > The other difference is that when one specifies fillstyle='left', then > it would only apply to the marker at 0 degrees. Whereas, marker='v', > fillstyle='left', markerangle=0 would correspond to marker='^', > fillstyle='right', markerangle=180 (or something like that). You can think about what the right way to do this is. My first inclination is that that left, right, etc, apply to the unrotated marker, and then you apply the rotation. So 'd' with markerrotation=0 and fillstyle='left' would be identical to 'd' with fillstyle='right' and markerrotation=180. But any convention you want to apply would probably be fine as long as it is documented. Note I am not sure this is a terribly useful feature, but it might be marginally useful and it seems like something that could be implemented unobtrusively. So don't kill yourself on it. Thanks again for the nice work. JDH -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] DateFormatter + Latex issue
On Tue, Feb 16, 2010 at 5:25 PM, Filipe Pires Alvarenga Fernandes wrote: > I haven't notice the "s" before when using "pts", but what is really > strange is that "pt" does not work! > As I said, it is not supposed to work, because of some technical reason. When there is a single line of text, it is hardly possible to get to know the original baseline of the text. By the way, the original problem that "\n\n %b" didn't work seems like a actual bug (it is supposed to work without escaping '\n'). This should now be fixed in the svn (r8135 in maint. branch and r8136 in HEAD) . Still, it is recommended to adjust the pad of the ticklabels instead of fiddling with newlines and etc. Regards, -JJ -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] howto save MplWidget to png or tif file --- savefig not working
On Tue, Feb 16, 2010 at 4:07 PM, Dave M Tung wrote:
>
> HI folks,
>
> anybody know how to save a canvas (MplWidget) to a png or tif file.
> Seems
> when I try to save the figure,
>
> whichCanvas.canvas.ax.plot(xSlice, ySlice, 'bo', linewidth=1.5,
> linestyle='-')
>
> savefig does not work for this type of object. Is there another method I
> should use that I
> missed?
> thanks
> dave
> MplWidget
> Classs
> from PyQt4 import QtGui
>
> - Ignored:
> from matplotlib.backends.backend_qt4agg \
> import FigureCanvasQTAgg as FigureCanvas
> from matplotlib.figure import Figure
>
>
>
>
> class MplCanvas(FigureCanvas):
> def __init__(self):
> self.fig = Figure()
> self.ax = self.fig.add_subplot(111)
> FigureCanvas.__init__(self, self.fig)
> FigureCanvas.setSizePolicy(self,
> QtGui.QSizePolicy.Expanding,
> QtGui.QSizePolicy.Expanding)
> FigureCanvas.updateGeometry(self)
>
>
>
>
> class MplWidget(QtGui.QWidget):
>
> def __init__(self, parent = None):
> QtGui.QWidget.__init__(self, parent)
> self.canvas = MplCanvas()
> self.vbl = QtGui.QVBoxLayout()
> self.vbl.addWidget(self.canvas)
> self.setLayout(self.vbl)
widget.canvas.figure.savefig('somefile')
should work
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Re: [Matplotlib-users] DateFormatter + Latex issue
JJ: Wonderful, simple and much less messy and Latex+unicode. Although, now I'm fascinated by the Latex possibilities! Ernest: I haven't notice the "s" before when using "pts", but what is really strange is that "pt" does not work! Thank you all again, Filipe -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] DateFormatter + Latex issue
Hi,
16/02/10 @ 17:01 (-0500), thus spake Jae-Joon Lee:
> On Tue, Feb 16, 2010 at 4:05 PM, Ernest Adrogué wrote:
> > \vspace{10pts} does insert whitespace, however I am not sure if
> > it's the proper way of doing it...
> >
>
> Can you (or someone else) confirm this? I don't think "pts" is a
> proper tex unit and it should be \vspace{10pt}. Maybe this is a typo
> in the email. I'm asking this because it does not work for me, and I
> don't think it is supposed to work (but I may be wrong).
You're right!
\vspace{10pts} adds space (seems about 10 points) but it also
prints a "s" before the space, which I didn't see before.
Now, \vspace{10pt} doesn't work for me... it simply does nothing.
Bye.
> Regards,
>
> -JJ
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[Matplotlib-users] howto save MplWidget to png or tif file --- savefig not working
HI folks,
anybody know how to save a canvas (MplWidget) to a png or tif file.
Seems
when I try to save the figure,
whichCanvas.canvas.ax.plot(xSlice, ySlice, 'bo', linewidth=1.5,
linestyle='-')
savefig does not work for this type of object. Is there another method I
should use that I
missed?
thanks
dave
MplWidget
Classs
from PyQt4 import QtGui
- Ignored:
from matplotlib.backends.backend_qt4agg \
import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
class MplCanvas(FigureCanvas):
def __init__(self):
self.fig = Figure()
self.ax = self.fig.add_subplot(111)
FigureCanvas.__init__(self, self.fig)
FigureCanvas.setSizePolicy(self,
QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
class MplWidget(QtGui.QWidget):
def __init__(self, parent = None):
QtGui.QWidget.__init__(self, parent)
self.canvas = MplCanvas()
self.vbl = QtGui.QVBoxLayout()
self.vbl.addWidget(self.canvas)
self.setLayout(self.vbl)
On Tue, Feb 16, 2010 at 1:57 PM, <
matplotlib-users-requ...@lists.sourceforge.net> wrote:
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> than "Re: Contents of Matplotlib-users digest..."
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>
> Today's Topics:
>
> 1. Suggestion for filtering by calendar? (David Carmean)
> 2. Re: add to a canvas while preserving overall formatting (C M)
> 3. Color in table help please! I have already searched previous
> posts (duckman)
> 4. Re: DateFormatter + Latex issue (Ernest Adrogu?)
> 5. Re: Where Do I Report MPL Guide Issues? (Wayne Watson)
> 6. Re: DateFormatter + Latex issue (Filipe Pires Alvarenga Fernandes)
> 7. Re: forcing a plot to appear (Ken Dere)
> 8. Re: DateFormatter + Latex issue (Ernest Adrogu?)
>
>
> --
>
> Message: 1
> Date: Tue, 16 Feb 2010 09:51:47 -0800
> From: David Carmean
> Subject: [Matplotlib-users] Suggestion for filtering by calendar?
> To: matplotlib-users@lists.sourceforge.net
> Message-ID: <20100216095147.k26...@halibut.com>
> Content-Type: text/plain; charset=us-ascii
>
>
> I have a time-series dataset for which I need to make several plots;
> some of them will use all of the data, but others need not only to
> show just the usual business hours, but also take business holidays
> into account. I thoght this might be sufficiently common in this
> community that somebody could easily point me to a python idiom/recipe
> they've used that I could extend to use masked arrays.
>
> FWIW, the idea is not that I want to skip those time periods on the
> visualizations--and thus the recipes which treat the data as
> non-timeseries and construct custom ticks are not the solution for me.
> One of the tasks will be to use a fill to shade in these "working hours"
> for some of the plots. Another will be to calculate and plot running
> averages that exclude non-working hours.
>
> Thanks.
>
>
>
>
>
> --
>
> Message: 2
> Date: Tue, 16 Feb 2010 14:07:04 -0500
> From: C M
> Subject: Re: [Matplotlib-users] add to a canvas while preserving
>overall formatting
> To: Matplotlib Users
> Message-ID:
>
> Content-Type: text/plain; charset=ISO-8859-1
>
> On Tue, Feb 16, 2010 at 12:37 PM, John Hunter wrote:
> > On Tue, Feb 16, 2010 at 11:14 AM, C M wrote:
> >> I have a mpl graph embedded in wxPython, and I call a function,
> >> customize_plot() to do a number of things to the plot: ?adjust the
> >> spacing around it, set the formatters, fontsizes, axis limits, set a
> >> grid, etc.
> >>
> >> Now I want to potentially highlight points (by adding semi-transparent
> >> points on top of existing ones) or annotate points with user
> >> interaction. ?If I do that, it seems I need to call canvas.draw().
> >> But when I do that, it redraws the whole canvas and ignores some of
> >> the formatting I laid out in customize_plot(), specifically the view
> >> limits, and that's not acceptable.
> >
> > This isn't accurate -- calling draw will not change the view limits.
> > In all likelihood what is happening is that when you add you your
> > overlay markers, eg by calling "plot" the view limits are getting
> > updated. ?You can suppress t
Re: [Matplotlib-users] DateFormatter + Latex issue
If what you want is to have more padding for the major tick labels, I
recommend you to use
rcParams['xtick.major.pad'] = 20
If you don't like to change the global setting, you may set the
ticklabel padding for an specific axis. Try
for tck in ax.xaxis.get_major_ticks():
tck.set_pad(20)
tck.label1 = tck._get_text1()
Regards,
-JJ
On Tue, Feb 16, 2010 at 4:20 PM, Filipe Pires Alvarenga Fernandes
wrote:
> "\\" works for titles and label, but not for DateFormatter, but \vspace did
> the trick!
>
> Thanks again for the help.
>
> ps: I'm new to python, but maybe there is a way to mix Latex and unicode?
>
>
>> > as latex as well.
>>
>> Yes, all strings are processed by LaTeX.
>>
>> >
>> > However, escaping the \ with another \ did not worked.
>> > I tried:
>> >
>> > majorF = DateFormatter("\\n \\n %b")
>> >
>> > How should I escape the \n ?
>>
>> In theory, "\\n \\n %b" or r"\n \n %b", however only the former
>> seems to work in my computer.
>>
>> There's another problem: \n is not a valid LaTeX command.
>> I tried with \\ and with \newline but neither appear to work.
>> \vspace{10pts} does insert whitespace, however I am not sure if
>> it's the proper way of doing it...
>>
>> Bye.
>>
>> >
>> > > majorF = DateFormatter("\n \n %b") # problem
>> > > ^^ ^^
>> > > A common mistake.
>> > > You forgot to escape the "\" characters.
>> > >
>> > > Bye.
>> > >
>> > > Ernest
>
>> Thanks Ernest, I had no idea that the DateFormatter was going to be
>> treated
>
> --
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>
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Re: [Matplotlib-users] DateFormatter + Latex issue
> -Original Message-
> From: Ernest Adrogué [mailto:eadro...@gmx.net]
> Sent: Tuesday, February 16, 2010 1:58 PM
> To: matplotlib-users@lists.sourceforge.net
> Subject: Re: [Matplotlib-users] DateFormatter + Latex issue
>
> 16/02/10 @ 16:20 (-0500), thus spake Filipe Pires Alvarenga Fernandes:
> > "\\" works for titles and label, but not for DateFormatter, but
> \vspace did
> > the trick!
> >
> > Thanks again for the help.
> >
> > ps: I'm new to python, but maybe there is a way to mix Latex and
> unicode?
>
> Yes, the inputenc package from latex lets you use unicode.
> Try adding this to your script:
> plt.rc('text.latex', preamble='\usepackage[utf]{inputenc}')
>
> Note that this setting is not officially supported, whatever
> that means :)
>
> I also like the txfonts package:
> \usepackage[varg]{txfonts}
>
> which changes the default font to Times, including the text in
> mathematical expressions. It looks great.
Good tip. I also like \usapackage{fourier} to get the utopia fonts, which are
particularly useful since I'm always plotting concentrations and having a
upright mu ($\othermu$) is really nice.
-paul h.
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Re: [Matplotlib-users] DateFormatter + Latex issue
On Tue, Feb 16, 2010 at 4:05 PM, Ernest Adrogué wrote:
> \vspace{10pts} does insert whitespace, however I am not sure if
> it's the proper way of doing it...
>
Can you (or someone else) confirm this? I don't think "pts" is a
proper tex unit and it should be \vspace{10pt}. Maybe this is a typo
in the email. I'm asking this because it does not work for me, and I
don't think it is supposed to work (but I may be wrong).
Regards,
-JJ
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Re: [Matplotlib-users] DateFormatter + Latex issue
16/02/10 @ 16:20 (-0500), thus spake Filipe Pires Alvarenga Fernandes:
> "\\" works for titles and label, but not for DateFormatter, but \vspace did
> the trick!
>
> Thanks again for the help.
>
> ps: I'm new to python, but maybe there is a way to mix Latex and unicode?
Yes, the inputenc package from latex lets you use unicode.
Try adding this to your script:
plt.rc('text.latex', preamble='\usepackage[utf]{inputenc}')
Note that this setting is not officially supported, whatever
that means :)
I also like the txfonts package:
\usepackage[varg]{txfonts}
which changes the default font to Times, including the text in
mathematical expressions. It looks great.
Cheers.
Ernest
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Re: [Matplotlib-users] forcing a plot to appear
Matthias Michler wrote: > Hi Ken, > > On Monday 15 February 2010 20:35:06 Ken Dere wrote: >> Hi, >> >> I am trying to develop an application that I can run inside the ipython >> shell. One of my methods creates a plot, asks the user to make a choice >> based on that plot, and then creates another plot that displays the >> chosen set of information. >> >> If the choices are made with a qt or wx dialogue, everything goes fine. >> If I try to get the choice by asking the user to type the information >> into the shell, neither plot appears until after the choice is made. >> >> I have tried show() and draw() but neither make any difference. > > I attached a script that allows to input a number via "raw_input" (after > the first figure appeared) and than opens up a second figure. I hope the > goes towards your needs. > > Kind regards, > Matthias That did the trick. I think it was problably the use of .ion() and .ioff() that did it but I just did the whole fix and didn't check to see what was what. many thanks! -- K. Dere -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] DateFormatter + Latex issue
"\\" works for titles and label, but not for DateFormatter, but \vspace did
the trick!
Thanks again for the help.
ps: I'm new to python, but maybe there is a way to mix Latex and unicode?
> as latex as well.
>
> Yes, all strings are processed by LaTeX.
>
> >
> > However, escaping the \ with another \ did not worked.
> > I tried:
> >
> > majorF = DateFormatter("\\n \\n %b")
> >
> > How should I escape the \n ?
>
> In theory, "\\n \\n %b" or r"\n \n %b", however only the former
> seems to work in my computer.
>
> There's another problem: \n is not a valid LaTeX command.
> I tried with \\ and with \newline but neither appear to work.
> \vspace{10pts} does insert whitespace, however I am not sure if
> it's the proper way of doing it...
>
> Bye.
>
> >
> > > majorF = DateFormatter("\n \n %b") # problem
> > > ^^ ^^
> > > A common mistake.
> > > You forgot to escape the "\" characters.
> > >
> > > Bye.
> > >
> > > Ernest
>
> Thanks Ernest, I had no idea that the DateFormatter was going to be
treated
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Re: [Matplotlib-users] Where Do I Report MPL Guide Issues?
Good. Thanks. Did I do the right thing by posting here? Is it the case that all parts of the document are contributions? On 2/15/2010 11:02 PM, Philipp Bender wrote: > When I come back tonight I will try to fix the errors for you. > > -- > SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, > Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW > http://p.sf.net/sfu/solaris-dev2dev > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- "There is nothing so annoying as to have two people talking when you're busy interrupting." -- Mark Twain -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] DateFormatter + Latex issue
16/02/10 @ 09:03 (-0500), thus spake Filipe Pires Alvarenga Fernandes:
> Thanks Ernest, I had no idea that the DateFormatter was going to be treated
> as latex as well.
Yes, all strings are processed by LaTeX.
>
> However, escaping the \ with another \ did not worked.
> I tried:
>
> majorF = DateFormatter("\\n \\n %b")
>
> How should I escape the \n ?
In theory, "\\n \\n %b" or r"\n \n %b", however only the former
seems to work in my computer.
There's another problem: \n is not a valid LaTeX command.
I tried with \\ and with \newline but neither appear to work.
\vspace{10pts} does insert whitespace, however I am not sure if
it's the proper way of doing it...
Bye.
>
> > majorF = DateFormatter("\n \n %b") # problem
> > ^^ ^^
> > A common mistake.
> > You forgot to escape the "\" characters.
> >
> > Bye.
> >
> > Ernest
> >
> --
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> Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW
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[Matplotlib-users] Color in table help please! I have already searched previous posts
I am trying to make the table at the bottom and the lines the same color. I
took the code from one of the online examples and modified it to do most of
what I want but cannot get the color in the table working properly! Can
someone please help? Thank you
#!/usr/bin/env python
import matplotlib
from pylab import *
from matplotlib.colors import colorConverter
color3=(1,0,0)
axes([0.2, 0.2, 0.7, 0.6]) # leave room below the axes for the table
data = [[
100.00,349.75,171.44,625.53,134635.8,248978.4,160392.1,179662.4,123550.5],
[
235998.8,99972.15,242081.6,84912.13,243705.3,247201.2,203676.4,90139.60,113332.5],
[
202610.0,127785.3,182007.1,175678.0,154024.1,188675.2,166227.0,94719.93,160227.7],
[
31699.09,30586.87,30587.58,33440.05,32209.72,34223.97,28250.25,32070.29,19095.30],
[
84414.35,21884.88,49538.22,49200.55,42394.29,66676.73,57740.81,73549.68,48402.48],
[ 0.0,0.0,0.0,0.0,023529.88,19822.02,35243.35,34349.67,19382.45]]
title('Title')
colLabels = ('Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep')
rowLabels = ['Dr %d' % x for x in (1, 2, 3, 7, 8, 10)]
linecolor = ('blue','red','green','black','yellow','cyan','magenta')
rows = len(data)
ind = arange(len(colLabels)) # the x locations for the groups
cellText = []
yoff = array([0.0] * len(colLabels)) # the bottom values for stacked bar
chart
for row in xrange(rows):
plot(arange(0,9), data[row],color=linecolor[row])
yoff = data[row]
cellText.append(['%1.2f' % (x) for x in yoff])
# Add a table at the bottom of the axes
#title([color3])
the_table = table(cellText=cellText,
rowLabels=rowLabels, rowColours=[color3]*16,
colLabels=colLabels,
loc='bottom')
vals = arange(0, 35, 25000)
yticks(vals, ['%d' % val for val in vals])
xticks([])
savefig("tony.png",dpi=(1024/8))
--
View this message in context:
http://old.nabble.com/Color-in-table-help-please%21--I-have-already-searched-previous-posts-tp27613553p27613553.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
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Re: [Matplotlib-users] add to a canvas while preserving overall formatting
On Tue, Feb 16, 2010 at 12:37 PM, John Hunter wrote: > On Tue, Feb 16, 2010 at 11:14 AM, C M wrote: >> I have a mpl graph embedded in wxPython, and I call a function, >> customize_plot() to do a number of things to the plot: adjust the >> spacing around it, set the formatters, fontsizes, axis limits, set a >> grid, etc. >> >> Now I want to potentially highlight points (by adding semi-transparent >> points on top of existing ones) or annotate points with user >> interaction. If I do that, it seems I need to call canvas.draw(). >> But when I do that, it redraws the whole canvas and ignores some of >> the formatting I laid out in customize_plot(), specifically the view >> limits, and that's not acceptable. > > This isn't accurate -- calling draw will not change the view limits. > In all likelihood what is happening is that when you add you your > overlay markers, eg by calling "plot" the view limits are getting > updated. You can suppress this with > > ax.set_autoscale_on(False) > ax.plot(overlay_markers) > fig.canvas.draw() Thank you, that's much easier than the animation option, which would be more than I need to do. Che -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Suggestion for filtering by calendar?
I have a time-series dataset for which I need to make several plots; some of them will use all of the data, but others need not only to show just the usual business hours, but also take business holidays into account. I thoght this might be sufficiently common in this community that somebody could easily point me to a python idiom/recipe they've used that I could extend to use masked arrays. FWIW, the idea is not that I want to skip those time periods on the visualizations--and thus the recipes which treat the data as non-timeseries and construct custom ticks are not the solution for me. One of the tasks will be to use a fill to shade in these "working hours" for some of the plots. Another will be to calculate and plot running averages that exclude non-working hours. Thanks. -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] add to a canvas while preserving overall formatting
On Tue, Feb 16, 2010 at 11:14 AM, C M wrote: > I have a mpl graph embedded in wxPython, and I call a function, > customize_plot() to do a number of things to the plot: adjust the > spacing around it, set the formatters, fontsizes, axis limits, set a > grid, etc. > > Now I want to potentially highlight points (by adding semi-transparent > points on top of existing ones) or annotate points with user > interaction. If I do that, it seems I need to call canvas.draw(). > But when I do that, it redraws the whole canvas and ignores some of > the formatting I laid out in customize_plot(), specifically the view > limits, and that's not acceptable. This isn't accurate -- calling draw will not change the view limits. In all likelihood what is happening is that when you add you your overlay markers, eg by calling "plot" the view limits are getting updated. You can suppress this with ax.set_autoscale_on(False) ax.plot(overlay_markers) fig.canvas.draw() > I want it to simply add the new points without changing any of the > features of the plot. Is there a way to do that? In Googling for > hints, I found this point from JDH from almost two years ago, which I > think is applicable to my need: > >> If you call fig.canvas.draw, everything will be updated. If you want >> to selectively draw certain artists, you can use the animated property >> w/ background copy/restore and the draw_artist method as described at > >> http://www.scipy.org/Cookbook/Matplotlib/Animations > > Is this still the case in the current version of matplotlib? Or is > there a newer way to do it now? Yes, this is still accurate, and can be use for more efficient updating, but it is unrelated to the problem with the view limits you described. JDH -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] can't update transform for polygon animation
On Tue, Feb 16, 2010 at 10:54 AM, John Jameson wrote: > Hi John, > > Thanks for your help on the animation with patches, and now > I'm trying to do the same idea for matplotlib.patches.Polygon > ala your method for a circle patch: > > initialize: > xy =[[x0,y0],[x1,y1],[x2,y2]] > poly = Polygon( xy, animated=True,lw=2,fill=False ) > add_patch(poly) > . > . > in the loop: > poly.set_xy = xy_new > poly.update_transorm() (no such routine) > > > The set_xy seems to work (at least no errors), but I don't see how > to "update the transform" as for the circle. Two problems here : * There is no polygon attribute "set_xy"; it is a method, so you need to call it like "poly.set_xy(xy_new)". In general this is True for all matplotlib set_* methods. There is also an "xy" attribute which you can access like "poly.xy = xy_new". These two approaches do the same thing * The _update_transforms call was a hack I did on CirclePolygon to work around a broken method. it is not a method of Polygon or Patch which is why you are not finding it. For normal usage, the methods that start with underscores are not meant to be called or used at the user level, but because there was breakage in the CirclePolygon set_xy method, I had to hack around it in the example I posted for you. For Polygon, simply setting the xy attribute should be sufficient. JDH -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] add to a canvas while preserving overall formatting
I have a mpl graph embedded in wxPython, and I call a function, customize_plot() to do a number of things to the plot: adjust the spacing around it, set the formatters, fontsizes, axis limits, set a grid, etc. Now I want to potentially highlight points (by adding semi-transparent points on top of existing ones) or annotate points with user interaction. If I do that, it seems I need to call canvas.draw(). But when I do that, it redraws the whole canvas and ignores some of the formatting I laid out in customize_plot(), specifically the view limits, and that's not acceptable. I want it to simply add the new points without changing any of the features of the plot. Is there a way to do that? In Googling for hints, I found this point from JDH from almost two years ago, which I think is applicable to my need: > If you call fig.canvas.draw, everything will be updated. If you want > to selectively draw certain artists, you can use the animated property > w/ background copy/restore and the draw_artist method as described at > http://www.scipy.org/Cookbook/Matplotlib/Animations Is this still the case in the current version of matplotlib? Or is there a newer way to do it now? Thank you for any suggestions, Che -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to blank an area of the canvas?
Jae-Joon Lee wrote: >> I have added a bbox support for "restore_region", but I'm afraid >> that this feature is not well tested. And I guess what you find >> is, unfortunately, a bug. While I'll try to push the changes to >> the svn tomorrow, you may try to monkey-patch with following >> code. Thanks a lot, this seems to basically work. For some reason the bboxes are still restored at slightly the wrong place --- I have to adjust them by one pixel in the y direction, but this is doable. >> However, while matplotlib does support some animation, I think >> you 'd better turn to another tool if you need an efficiency, Maybe so. What tool would you recommend for animated plots? Best wishes, -- Brendan Barnwell "Do not follow where the path may lead. Go, instead, where there is no path, and leave a trail." --author unknown -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Trouble gridding irregularly spaced data
T J wrote: > Hi, > > I'm trying to grid irregularly spaced data, such that the convex hull > of the data is not rectangular. Specifically, all my data lies in an > equilateral triangle inside the unit circle. I found: > > http://www.scipy.org/Cookbook/Matplotlib/Gridding_irregularly_spaced_data > > and tried the suggested technique. For my grid, I made a square of > the min and max of my data. However, it had problems: > > ... > File > "/home/guest/.local/lib/python2.6/site-packages/matplotlib/delaunay/triangulate.py", > line 125, in _compute_convex_hull > hull.append(edges.pop(hull[-1])) > KeyError: 0 > > > Should I expect matplotlib.mlab.griddata to work with a dataset like > this? I know that I can use hexbin, but it'd be really nice to see > contours explicitly. > We have the natgrid toolkit for just this reason - it's slower than the default, and has a more restrictive license, but it often succeeds when the default algorithm fails. This is discussed at the end of that wiki page. Let us know if the natgrid toolkit also fails. -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : jeffrey.s.whita...@noaa.gov 325 BroadwayOffice : Skaggs Research Cntr 1D-113 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] can't update transform for polygon animation
Hi John, Thanks for your help on the animation with patches, and now I'm trying to do the same idea for matplotlib.patches.Polygon ala your method for a circle patch: initialize: xy =[[x0,y0],[x1,y1],[x2,y2]] poly = Polygon( xy, animated=True,lw=2,fill=False ) add_patch(poly) . . in the loop: poly.set_xy = xy_new poly.update_transorm() (no such routine) The set_xy seems to work (at least no errors), but I don't see how to "update the transform" as for the circle. here I am looking at: http://matplotlib.sourceforge.net/api/artist_api.html?highlight=polygon#matp lotlib.patches.Polygon thanks, john -Original Message- From: John Hunter [mailto:jdh2...@gmail.com] Sent: Sunday, February 14, 2010 7:39 PM To: John Jameson Cc: matplotlib-users@lists.sourceforge.net; Michael Droettboom Subject: Re: [Matplotlib-users] memory leak for GTKAgg animation On Sat, Feb 13, 2010 at 2:53 PM, John Jameson wrote: > HI, > I find the very basic animation below has a memory leak (my pagefile usage > number keeps growing in the Windows XP Windows Task Manager Performance > graph).I don't see this with the "animation_blit_gtk.py" example on: > > http://matplotlib.sourceforge.net/examples/index.html > > (which I used as a starting point for this). In "animation_blit_gtk.py" the > set_ydata() routine is used to update the line for the animation and this > does not leak. But if you call plot again with the new y_data (instead of > using set_ydata), this leaks too. Anyone have an idea on how to stop the > leak? This isn't a memory leak. The problem is that you keep adding new patches to the axes when you want just one with different data. Eg, in your loop, run this code, and you will see that the number of patches is growing: x_cir = 1.0 + 0.003*update_line.cnt cir = CirclePolygon((x_cir, 1), 0.3, animated=True, \ resolution=12, lw=2 ) ax.add_patch(cir) ax.draw_artist(cir) print 'num patches=%d, mem usage=%d'%( len(ax.patches), cbook.report_memory(update_line.cnt)) canvas.blit(ax.bbox) You should add just one patch and then manipulate the data. In this case, you are using a CirclePolygon which derives from RegularPolygon and so you can update the "xy" property http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.patches.Reg ularPolygon But on testing this it looks like there is a bug in that the set_xy property setter is ignored. I worked around this in the func below by setting the private variable directly, but this looks like a bug we need to fix (Michael, shouldn't we respect the xy passed in in patches.RegularPolygon._set_xy ?). In the meantime, the following workaround should work for you w/o leaking def update_line(): global x, y print update_line.cnt if update_line.background is None: update_line.background = canvas.copy_from_bbox(ax.bbox) canvas.restore_region(update_line.background) x_cir = 1.0 + 0.003*update_line.cnt if update_line.cir is None: cir = CirclePolygon((x_cir, 1), 0.3, animated=True, \ resolution=12, lw=2 ) ax.add_patch(cir) update_line.cir = cir else: update_line.cir._xy = x_cir, 1 update_line.cir._update_transform() ax.draw_artist(update_line.cir) print 'num patches=%d, xy=%s, mem usage=%d'%( len(ax.patches), update_line.cir.xy, cbook.report_memory(update_line.cnt)) canvas.blit(ax.bbox) if update_line.direction == 0: update_line.cnt += 1 if update_line.cnt > 500: update_line.direction = 1 else: update_line.cnt -= 1 if update_line.cnt < 100: update_line.direction = 0 return update_line.cnt<100 update_line.cnt = 0 update_line.direction = 0 update_line.background = None update_line.cir = None -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Trouble gridding irregularly spaced data
On 2010-02-16 00:40 AM, T J wrote: > Hi, > > I'm trying to grid irregularly spaced data, such that the convex hull > of the data is not rectangular. Specifically, all my data lies in an > equilateral triangle inside the unit circle. I found: > > > http://www.scipy.org/Cookbook/Matplotlib/Gridding_irregularly_spaced_data > > and tried the suggested technique. For my grid, I made a square of > the min and max of my data. However, it had problems: > > ... >File > "/home/guest/.local/lib/python2.6/site-packages/matplotlib/delaunay/triangulate.py", > line 125, in _compute_convex_hull > hull.append(edges.pop(hull[-1])) > KeyError: 0 > > > Should I expect matplotlib.mlab.griddata to work with a dataset like > this? I know that I can use hexbin, but it'd be really nice to see > contours explicitly. It's not a problem with your points lying inside a triangle. There is some other problem with the construction of the Delaunay triangulation. Sometimes the algorithm fails. This is one way that it fails. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] TikZ/PGF backend
Well, I spend some time now setting up a framework for exporting
matplotlib generated figures to TikZ code.
You can find it on
http://github.com/nicki/matplotlib2tikz
The workflow is essentially that you generate your plot (dont show()),
and then call matplotlib2tikz("myfile.tikz"); using a proper back-end
has been considered not useful (b/c the information that the back-ends
can access purely contain geometric information, and not semantic info
such as "this color bar belongs to plot such-and-such").
What the script can do now, essentially, is line plots, images, color
bars. Adding more functionality should not be too difficult and is
basically just a matter of actually doing it. If you're interested in
helping out then I'd think now is the time as the script is a mere 350
lines long now; just poke me on github.
Cheers,
Nico
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Re: [Matplotlib-users] identification of color bars
The last line of the "on_changed" method you posted is
mappable.set_colorbar(cb, cax)
And "set_colorbar" sets the colorbar attribute.
-JJ
On Tue, Feb 16, 2010 at 8:46 AM, Nico Schlömer wrote:
> Works pretty well.
> I've now implemented something like
>
> == *snip* ==
> def find_associated_colorbar( obj ):
> for child in obj.get_children():
> try:
> cbar = child.colorbar
> except AttributeError:
> continue
> if not cbar == None: # really necessary?
> # if fetch was successful, cbar contains
> # ( reference to colorbar, reference to axis
> containing colorbar )
> return cbar[0]
> return None
> == *snip* ==
>
> How did you find out about the colormap attribute? Was that by taking
> a good guess in looking at the source code, or are the public
> attributes of a class documented?
>
> Cheers,
> Nico
>
>
>
> On Tue, Feb 16, 2010 at 1:18 PM, Jae-Joon Lee wrote:
>> set_colorbar sets colorbar attribute. So I guess you can just check if
>> Mappable.colorbar is None or not.
>> Mappable.colorbar, when set, should be a tuple whose first item is an
>> image for colorbar and the second item is an colorbar axes.
>>
>> Regards,
>>
>> -JJ
>>
>> On Tue, Feb 16, 2010 at 5:26 AM, Nico Schlömer
>> wrote:
>>> Alright, so I dug the sources a bit and found the snippet
>>>
>>> == *snip* ==
>>> cb = cbar.Colorbar(cax, mappable, **kw)
>>>
>>> def on_changed(m):
>>> #print 'calling on changed', m.get_cmap().name
>>> cb.set_cmap(m.get_cmap())
>>> cb.set_clim(m.get_clim())
>>> cb.update_bruteforce(m)
>>>
>>> self.cbid = mappable.callbacksSM.connect('changed', on_changed)
>>> mappable.set_colorbar(cb, cax)
>>> == *snap* ==
>>>
>>> I guess what happens is that a Colorbar is created, and a callback
>>> function registered which adapts this very color bar whenever there is
>>> a change in color maps/limits.
>>> Well. -- I reckon that means that at the moment there's no way to tell
>>> if a ScalarMappable has a color bar associated or not. :/ -- At least
>>> I don't see how it would be possible to dig up on_changed( ) from the
>>> list of callbacks and extract cb from it.
>>>
>>> Aaand everybody: "Fea-ture request, fea-ture request!"
>>> get_colorbar() for ScalarMappables :)
>>>
>>> Cheers,
>>> Nico
>>>
>>>
>>>
>>>
>>> On Mon, Feb 15, 2010 at 7:58 PM, Nico Schlömer
>>> wrote:
> As far as I can see, it is the other way around, i.e., mappables
> (e.g., images) know about the colorbar they are connected.
Well yeah, that'd be even better. I'll check out the API. -- Hints
would still be appreciated of course.
--Nico
>>>
>>
>
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Re: [Matplotlib-users] agg_buffer_to_array.py
Hi David,
The Mac OS X backend does not use Agg, so I am not surprised that this script
won't work with Mac OS X backend. The script probably also won't work with
other non-Agg backends such as GtkCairo.
--Michiel.
--- On Mon, 2/15/10, David Arnold wrote:
> From: David Arnold
> Subject: [Matplotlib-users] agg_buffer_to_array.py
> To: matplotlib-users@lists.sourceforge.net
> Date: Monday, February 15, 2010, 2:12 PM
> All,
> This error:The
> debugged program raised the exception unhandled AttributeError
> "'FigureCanvasMac' object
> has no attribute 'buffer_rgba'"
> File:
> /Users/darnold/Documents/temp/Matplotlib/PylabExamples/agg_buffer_to_array.py,
> Line: 16is raised
> by the following script on my Macbook.
> #
> agg_buffer_to_array.py import
> matplotlibmatplotlib.use('macosx')from
> pylab import figure, showimport numpy as
> np
> # make an agg figurefig =
> figure()ax =
> fig.add_subplot(111)ax.plot([1,2,3])ax.set_title('a
> simple figure')fig.canvas.draw()
> # grab rhe pixel buffer and dumpy it into a
> numpy arraybuf =
> fig.canvas.buffer_rgba(0,0)l, b, w, h =
> fig.bbox.boundsX = np.fromstring(buf,
> np.uint8)X.shape = h,w,4
> # now display the array X as an Axes in a new
> figurefig2 = figure()ax2 =
> fig2.add_subplot(111,
> frameon=False)ax2.imshow(X)show()
> This is captured from:
> http://matplotlib.sourceforge.net/examples/pylab_examples/agg_buffer_to_array.html
> With:
> matplotlib.use('Agg')
> Nothing happens at all. With --verbose-helpful,
> yields the following:
> $HOME=/Users/darnoldCONFIGDIR=/Users/darnold/.matplotlibmatplotlib
> data path
> /Library/Frameworks/Python.framework/Versions/6.0.0/lib/python2.6/site-packages/matplotlib/mpl-dataloaded
> rc file
> /Users/darnold/.matplotlib/matplotlibrcmatplotlib
> version 0.99.1.1verbose.level
> helpfulinteractive is Falseunits is
> Falseplatform is darwinUsing
> fontManager instance from
> /Users/darnold/.matplotlib/fontList.cachebackend
> agg version v2.2findfont: Matching
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
> to Bitstream Vera Sans
> (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
> with score of 0.00findfont: Matching
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=large
> to Bitstream Vera Sans
> (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
> with score of 0.00
> Both
> matplotlib.use('tkagg')
> and
> matplotlib.use('wxagg')
> work as they should.
> David.
> -Inline Attachment Follows-
>
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Re: [Matplotlib-users] Enter Figure on Macs
Thanks! That was at least part of the problem.
I've committed a bug fix to the svn repository.
Thanks gain,
--Michiel.
--- On Mon, 2/15/10, John Hunter wrote:
> From: John Hunter
> Subject: Re: [Matplotlib-users] Enter Figure on Macs
> To: "Michiel de Hoon"
> Cc: "David Arnold" ,
> matplotlib-users@lists.sourceforge.net
> Date: Monday, February 15, 2010, 8:07 AM
> On Mon, Feb 15, 2010 at 6:50 AM,
> Michiel de Hoon
> wrote:
> > I almost have a solution for this for the Mac OS X
> backend. I am stuck though at what I should pass to
> enter_notify_event and leave_notify_event for the guiEvent:
> >
> > def leave_notify_event(self, guiEvent=None):
> > """
> > Backend derived classes should call this
> function when leaving
> > canvas
> >
> > *guiEvent*
> > the native UI event that generated
> the mpl event
> >
> > """
> >
> > What are the requirements for guiEvent? If I call
> leave_notify_event without guiEvent, so guiEvent = None,
> then the example gives me the following error:
>
> we don't make any assumptions about what kind of object the
> gui event
> is. We provide the GUI event because sometimes when
> using a specific
> backend, the user wants to drill into the GUI native event
> (eg a
> button press event) but we don't use it anywhere in the mpl
> frontend
> because this would break the abstraction. So if you
> have some event
> that is being fired at the UI level on figure enter, pass
> that in.
>
> It looks like you may be having a problem because the
> leave_notify_event is getting called more than once, or is
> called for
> a figure that has not been entered. Check the logic
> in
> backend_bases.FigureCanvasBase.leave_notify_event
>
>
> def leave_notify_event(self, guiEvent=None):
> """
> Backend derived classes should
> call this function when leaving
> canvas
>
> *guiEvent*
> the native UI
> event that generated the mpl event
>
> """
>
> self.callbacks.process('figure_leave_event',
> LocationEvent.lastevent)
> LocationEvent.lastevent = None
>
>
> It looks like your figure_leave_event is being triggered
> with
> LocationEvent.lastevent = None (so it is not a problem with
> your
> guiEvent). This could happen if a leave event was
> processed *before*
> and enter event (which sets the lastevent), or if a leave
> event was
> processed twice.
>
> Hopefully this will help you drill down into the source of
> the problem
>
> JDH
>
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Re: [Matplotlib-users] identification of color bars
Works pretty well.
I've now implemented something like
== *snip* ==
def find_associated_colorbar( obj ):
for child in obj.get_children():
try:
cbar = child.colorbar
except AttributeError:
continue
if not cbar == None: # really necessary?
# if fetch was successful, cbar contains
# ( reference to colorbar, reference to axis
containing colorbar )
return cbar[0]
return None
== *snip* ==
How did you find out about the colormap attribute? Was that by taking
a good guess in looking at the source code, or are the public
attributes of a class documented?
Cheers,
Nico
On Tue, Feb 16, 2010 at 1:18 PM, Jae-Joon Lee wrote:
> set_colorbar sets colorbar attribute. So I guess you can just check if
> Mappable.colorbar is None or not.
> Mappable.colorbar, when set, should be a tuple whose first item is an
> image for colorbar and the second item is an colorbar axes.
>
> Regards,
>
> -JJ
>
> On Tue, Feb 16, 2010 at 5:26 AM, Nico Schlömer
> wrote:
>> Alright, so I dug the sources a bit and found the snippet
>>
>> == *snip* ==
>> cb = cbar.Colorbar(cax, mappable, **kw)
>>
>> def on_changed(m):
>> #print 'calling on changed', m.get_cmap().name
>> cb.set_cmap(m.get_cmap())
>> cb.set_clim(m.get_clim())
>> cb.update_bruteforce(m)
>>
>> self.cbid = mappable.callbacksSM.connect('changed', on_changed)
>> mappable.set_colorbar(cb, cax)
>> == *snap* ==
>>
>> I guess what happens is that a Colorbar is created, and a callback
>> function registered which adapts this very color bar whenever there is
>> a change in color maps/limits.
>> Well. -- I reckon that means that at the moment there's no way to tell
>> if a ScalarMappable has a color bar associated or not. :/ -- At least
>> I don't see how it would be possible to dig up on_changed( ) from the
>> list of callbacks and extract cb from it.
>>
>> Aaand everybody: "Fea-ture request, fea-ture request!"
>> get_colorbar() for ScalarMappables :)
>>
>> Cheers,
>> Nico
>>
>>
>>
>>
>> On Mon, Feb 15, 2010 at 7:58 PM, Nico Schlömer
>> wrote:
As far as I can see, it is the other way around, i.e., mappables
(e.g., images) know about the colorbar they are connected.
>>>
>>> Well yeah, that'd be even better. I'll check out the API. -- Hints
>>> would still be appreciated of course.
>>>
>>> --Nico
>>>
>>
>
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Re: [Matplotlib-users] DateFormatter + Latex issue
Thanks Ernest, I had no idea that the DateFormatter was going to be treated
as latex as well.
However, escaping the \ with another \ did not worked.
I tried:
majorF = DateFormatter("\\n \\n %b")
How should I escape the \n ?
> majorF = DateFormatter("\n \n %b") # problem
> ^^ ^^
> A common mistake.
> You forgot to escape the "\" characters.
>
> Bye.
>
> Ernest
>
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Re: [Matplotlib-users] identification of color bars
set_colorbar sets colorbar attribute. So I guess you can just check if
Mappable.colorbar is None or not.
Mappable.colorbar, when set, should be a tuple whose first item is an
image for colorbar and the second item is an colorbar axes.
Regards,
-JJ
On Tue, Feb 16, 2010 at 5:26 AM, Nico Schlömer wrote:
> Alright, so I dug the sources a bit and found the snippet
>
> == *snip* ==
> cb = cbar.Colorbar(cax, mappable, **kw)
>
> def on_changed(m):
> #print 'calling on changed', m.get_cmap().name
> cb.set_cmap(m.get_cmap())
> cb.set_clim(m.get_clim())
> cb.update_bruteforce(m)
>
> self.cbid = mappable.callbacksSM.connect('changed', on_changed)
> mappable.set_colorbar(cb, cax)
> == *snap* ==
>
> I guess what happens is that a Colorbar is created, and a callback
> function registered which adapts this very color bar whenever there is
> a change in color maps/limits.
> Well. -- I reckon that means that at the moment there's no way to tell
> if a ScalarMappable has a color bar associated or not. :/ -- At least
> I don't see how it would be possible to dig up on_changed( ) from the
> list of callbacks and extract cb from it.
>
> Aaand everybody: "Fea-ture request, fea-ture request!"
> get_colorbar() for ScalarMappables :)
>
> Cheers,
> Nico
>
>
>
>
> On Mon, Feb 15, 2010 at 7:58 PM, Nico Schlömer
> wrote:
>>> As far as I can see, it is the other way around, i.e., mappables
>>> (e.g., images) know about the colorbar they are connected.
>>
>> Well yeah, that'd be even better. I'll check out the API. -- Hints
>> would still be appreciated of course.
>>
>> --Nico
>>
>
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Re: [Matplotlib-users] DateFormatter + Latex issue
15/02/10 @ 19:22 (-0500), thus spake Filipe Pires Alvarenga Fernandes:
> Hello list,
>
> If I use DateFormatter with latex and lines breaks like this
> >>> DateFormatter("\n \n %b") I get an latex error:
>
> http://pastebin.com/m5b186ded
>
> Although, if I do not use the line breaks,
> >>> DateFormatter("%b")
> The problem disappears.
>
> Below is a script that reproduces what I'm talking about:
>
> #Example:
> from pylabimport *
> from matplotlib import rcParams
> rcParams['text.usetex'] = True
> fig = figure()
> ax = fig.add_subplot(111)
> fig.subplots_adjust(bottom=0.2)
> t = arange(100,110,.1)
> u = sin(t)
> v = cos(t)
> quiver([t],[[0]*len(t)],u,v)
> major = DayLocator([10,04])
> minor = DayLocator()
> majorF = DateFormatter("\n \n %b") # problem
^^ ^^
A common mistake.
You forgot to escape the "\" characters.
Bye.
Ernest
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Re: [Matplotlib-users] identification of color bars
Alright, so I dug the sources a bit and found the snippet
== *snip* ==
cb = cbar.Colorbar(cax, mappable, **kw)
def on_changed(m):
#print 'calling on changed', m.get_cmap().name
cb.set_cmap(m.get_cmap())
cb.set_clim(m.get_clim())
cb.update_bruteforce(m)
self.cbid = mappable.callbacksSM.connect('changed', on_changed)
mappable.set_colorbar(cb, cax)
== *snap* ==
I guess what happens is that a Colorbar is created, and a callback
function registered which adapts this very color bar whenever there is
a change in color maps/limits.
Well. -- I reckon that means that at the moment there's no way to tell
if a ScalarMappable has a color bar associated or not. :/ -- At least
I don't see how it would be possible to dig up on_changed( ) from the
list of callbacks and extract cb from it.
Aaand everybody: "Fea-ture request, fea-ture request!"
get_colorbar() for ScalarMappables :)
Cheers,
Nico
On Mon, Feb 15, 2010 at 7:58 PM, Nico Schlömer wrote:
>> As far as I can see, it is the other way around, i.e., mappables
>> (e.g., images) know about the colorbar they are connected.
>
> Well yeah, that'd be even better. I'll check out the API. -- Hints
> would still be appreciated of course.
>
> --Nico
>
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Re: [Matplotlib-users] forcing a plot to appear
Hi Ken, On Monday 15 February 2010 20:35:06 Ken Dere wrote: > Hi, > > I am trying to develop an application that I can run inside the ipython > shell. One of my methods creates a plot, asks the user to make a choice > based on that plot, and then creates another plot that displays the chosen > set of information. > > If the choices are made with a qt or wx dialogue, everything goes fine. If > I try to get the choice by asking the user to type the information into the > shell, neither plot appears until after the choice is made. > > I have tried show() and draw() but neither make any difference. I attached a script that allows to input a number via "raw_input" (after the first figure appeared) and than opens up a second figure. I hope the goes towards your needs. Kind regards, Matthias let_a_plot_appear.py Description: application/python -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
