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I have a figure with a semilogy plot. I need to make more room on the bottom to add a bunch of figtext, which is 4 lines of text. With the defaults, the text overprints the x-axis. What is a suggested way to fix this? (Ideally, mpl would calculate the appropriate sizes for me so things don't overprint).
On 12/03/12 13:40, Neal Becker wrote:
> Using this code:
>
> self.pdf = PdfPages('%s.%s.pdf' % (name, str(date.today())))
>
> Trying to output a pdf with the name
>
> "results.abs_aci=[10.0, nan, 10.0].rate=['2/3', '4/5', '2/3'].2012年03月12日.pdf"
>
> produces this error
>
> IOError: [Errno 2] No such file or directory: "results.abs_aci=[10.0, nan,
> 10.0].rate=['2/3', '4/5', '2/3'].2012年03月12日.pdf"
>
> Changing the file name to just 'test1.pdf' produces no error.
On Unix platforms the / character is invalid in file names, being the
path separator, along with the 0円 character, for obvious reasons.
On Windows the allowed set of valid characters is further reduced,
depending on the filesystem.
Cheers,
--
Daniele
Using this code:
self.pdf = PdfPages('%s.%s.pdf' % (name, str(date.today())))
Trying to output a pdf with the name
"results.abs_aci=[10.0, nan, 10.0].rate=['2/3', '4/5', '2/3'].2012年03月12日.pdf"
produces this error
IOError: [Errno 2] No such file or directory: "results.abs_aci=[10.0, nan,
10.0].rate=['2/3', '4/5', '2/3'].2012年03月12日.pdf"
Changing the file name to just 'test1.pdf' produces no error.
Mic : > Thank you for your solutions. However, with my dataset it did not work > out with the following code: > > > ... > > Please find attached the histogram. The dataset I am sending with > next email. > 1. You haven'sent *in.small.txt*, but *in.txt*, 70 MB, several millions lines. Please, be gentle wrt people who want to help you and are obliged to test your stuff. 2. You file is buggy, last two lines generate an exception. They contain a text "mean ...". 3. I corrected them, the program works, and gives the picture you attached. You don't say WHAT is "not working". Is it the question of scaling, or something else? 4 If it is scaling, and IF IF ... you want to obtain something I attach, then use the code: *hst=axes.hist(data, bins=50, normed=True) mxh=max(hst[0]) plt.plot([mean,mean],[0,mxh],'r',lw=2) * 5. Learn something about WHAT is a normed histogram in matplotlib, how to get into the plotted data, and to adjust the scales. Otherwise such problems will repeat. 6. Finally, in our civilized world people sign their messages. Anonymous letters are ugly. Jerzy Karczmarczuk
On Sun, Mar 11, 2012 at 11:27 PM, gsal <sal...@gm...> wrote: > > Don't have a solution; I was just wondering if you have tried something > else, > like using ipython instead of IDLE. ipython may be better suited for > threading and working with pylab, etc. > > Thanks for the reply. I do like ipython might try the gui version.
On 11/03/12 14:19, Goyo wrote:
> El día 11 de marzo de 2012 11:31, gsal <sal...@gm...> escribió:
>>
>> I am not quite sure what you are asking, but, can you simply just add your
>> own attribute to the window objects? Python is friendly that way, you know?
>> It's dynamic.
>
> There are some dialogs not accesible using the mpl api. The save
> dialogs seem to be the standard ones for the underlying toolkit so
> reading the toolkit docs may help. Then there are the subplot params
> configuration dialogs.
>
> Goyo
Thanks for replies. What I wanted can be achieved with following:
import gobject
gobject.set_prgname('matplotlib')
This sets the instance attribute of the window to matplotlib instead of
the name of the script matplotlib window is produced from. All the
various window attributes can be looked-upon by running xprop tool from
terminal.
Is there any way of incorporating the above 2 lines of python code into
the matplotlibrc so that whenever matplotlib produces any windows, this
code is executed and the window has a proper name?
Cheers,
Ignas A.
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /> <title>Untitled Document</title> <style type="text/css"> <!-- a:link { text-decoration: none; color: #000000; } a:visited { text-decoration: none; color: #000000; } a:hover { text-decoration: none; color: #000000; } a:active { text-decoration: none; color: #000000; } --> </style> </head> <body> <p>Hi,</p> <p>Planning to study abroad?<a href="http://site2.way2sms.com/user/OpenLink.jsp?id=sm2Z3MU4jKaCFpd6S/24DNPfnJOOaOWDlh5vOI6Os6YveBZ9od0fW5p8TE2CGWpA+1nhahaa/96K 70UgTuis3IZVWbeu/SIFi6zIKpFFPOY="> <strong><u>Click here </u></strong></a>to get all the right information you need.</p> <p>- Get detailed information on destinations to study abroad<br /> - Know everything about the courses of your choice<br /> - Find out more about the tests you need to give to take admission abroad<br /> - Get tips on how to prepare the best CV and Statement of Purpose (SOP)<br /> - Find out how you can get the scholarship you need to study abroad<br /> - Get all your queries answered from our experts</p> <a href="http://site2.way2sms.com/user/OpenLink.jsp?id=sm2Z3MU4jKaCFpd6S/24DNPfnJOOaOWDlh5vOI6Os6YveBZ9od0fW5p8TE2CGWpA+1nhahaa/96K 70UgTuis3IZVWbeu/SIFi6zIKpFFPOY="><p><strong><u>Click here to get started</u></strong></p></a> <p>If you are looking to take admission within India, <a href="http://site2.way2sms.com/user/OpenLink.jsp?id=sm2Z3MU4jKaCFpd6S/24DNPfnJOOaOWDlh5vOI6Os6YveBZ9od0fW5p8TE2CGWpA+1nhahaa/96K 70UgTuis3IZVWbeu/SIFi6zIKpFFPOY="><strong><u>Click here</u></strong></a></p> <p>We look forward to helping you make the right decision for a brighter future.</p> <p>Regards</p> <div> <br /> Ambika Singh </div> <img src="http://labssx.way2sms.com/newsletters/1_HTcampusabroad_Tyroo_Camp1/a.gif" border="0" /> <img alt="" src="http://site2.way2sms.com/LoadImage?id=sm2Z3MU4jKaCFpd6S/24DNPfnJOOaOWDlh5vOI6Os6YveBZ9od0fW5p8TE2CGWpA+1nhahaa/96K 70UgTuis3AZFFMll1u7l1167g0VB0eM=" height="0px" width="0px" /> </body> </html>
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Is it possible to draw an arrow with a dashed line?
I tried using a fancy arrow patch and set the linestyle:
#~~~
import matplotlib.pyplot as plt
fix, ax = plt.subplots()
ax.set_xlim((-1,5))
ax.set_ylim((-5,3))
ax.annotate('simple', xy=(2., -1), xycoords='data',
xytext=(100, 60), textcoords='offset points',
size=20,
arrowprops=dict(arrowstyle="simple",
fc="0.6", ec="none", linestyle='dashed',
connectionstyle="arc3,rad=0.3"),
)
plt.show()
#~~~
But the linestyle argument just gets ignored.
Is there a way to grab the connection path object and then change that to a
dashed line? Actually, I'm not even sure it's possible to set a linestyle
for a Path (since dashed lines are normally Line2D). Suggestions?
Thanks,
-Tony
How to Get symmetric plotting in pylab....
i tried this code:
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 10 20:33:32 2012
@author: fajar
"""
from numpy import linspace, meshgrid, array
import matplotlib.pyplot as pl
import matplotlib.ticker as tc
from scipy.integrate import odeint
# membuat vektor
u = linspace(-5,5,25)
v = linspace(-5,5,25)
U,V = meshgrid(u,v)
def fu(u,v): return 2*u-2*v
def fv(u,v): return 2*u-3*v
FU = fu(U,V)
FV = fv(U,V)
# sistem Persamaan:
def g(x,t):
y1 = 2*x[0]-1*x[1]
y2 = 1*x[0]-2*x[1]
return [y1, y2]
time = linspace(-1,-.6,100)
con = array([[1,2],[1.5,-3],[-1.5,3],[-1.5,-3]])
pl.figure()
Q = pl.quiver(U,V,FU,FV, units='height', hold=True)
#sol = odeint(g, con[0], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='y')
#
#sol = odeint(g, con[1], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1,color='b')
#
#sol = odeint(g, con[2], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='m')
#
#sol = odeint(g, con[3], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='r')
#
pl.autoscale(enable=True,axis='Both', tight=True)
#tc.AutoLocator()
tc.MaxNLocator(9,symmetric=True)
#pl.xlabel('u', weight='bold')
#pl.ylabel('v', weight='bold')
#pl.title('u\'=u dan v\'=-2v',weight='bold')
#pl.autoscale()z
pl.show()
---
but i get picture like in this attach... (aa.png)
what i need is to Make side of figure stright... not oblique...
like this attach (ab.png)...
with coresponding code:
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 10 20:33:32 2012
@author: fajar
"""
from numpy import linspace, meshgrid, array
import pylab as pl
from scipy.integrate import odeint
# membuat vektor
u = linspace(-5,5,21)
v = linspace(-5,5,21)
U,V = meshgrid(u,v)
def fu(u,v):return u
def fv(u,v):return -2*v
FU = fu(U,V)
FV = fv(U,V)
# sistem Persamaan:
def g(x,t):
y1 = x[0]
y2 = -2*x[1]
return [y1, y2]
time = linspace(0,1,100)
con = array([[1.5,3],[1.5,-3],[-1.5,3],[-1.5,-3]])
pl.figure()
Q = pl.quiver(U,V,FU,FV, units='height', hold=True)
sol = odeint(g, con[0], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='y')
sol = odeint(g, con[1], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1,color='b')
sol = odeint(g, con[2], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='m')
sol = odeint(g, con[3], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='r')
pl.autoscale(enable=True,axis='Both', tight =True)
pl.xlabel('u', weight='bold')
pl.ylabel('v', weight='bold')
pl.title('u\'=u dan v\'=-2v',weight='bold')
pl.show()
--
i'm sorry, i didn't well to speak english, but i guess you know what
mean... thanks before....
aa.png
ab.png
How to Get symmetric plotting in pylab....
i tried this code:
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 10 20:33:32 2012
@author: fajar
"""
from numpy import linspace, meshgrid, array
import matplotlib.pyplot as pl
import matplotlib.ticker as tc
from scipy.integrate import odeint
# membuat vektor
u = linspace(-5,5,25)
v = linspace(-5,5,25)
U,V = meshgrid(u,v)
def fu(u,v): return 2*u-2*v
def fv(u,v): return 2*u-3*v
FU = fu(U,V)
FV = fv(U,V)
# sistem Persamaan:
def g(x,t):
y1 = 2*x[0]-1*x[1]
y2 = 1*x[0]-2*x[1]
return [y1, y2]
time = linspace(-1,-.6,100)
con = array([[1,2],[1.5,-3],[-1.5,3],[-1.5,-3]])
pl.figure()
Q = pl.quiver(U,V,FU,FV, units='height', hold=True)
#sol = odeint(g, con[0], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='y')
#
#sol = odeint(g, con[1], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1,color='b')
#
#sol = odeint(g, con[2], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='m')
#
#sol = odeint(g, con[3], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='r')
#
pl.autoscale(enable=True,axis='Both', tight=True)
#tc.AutoLocator()
tc.MaxNLocator(9,symmetric=True)
#pl.xlabel('u', weight='bold')
#pl.ylabel('v', weight='bold')
#pl.title('u\'=u dan v\'=-2v',weight='bold')
#pl.autoscale()z
pl.show()
---
but i get picture like in this attach... (aa.png)
what i need is to Make side of figure stright... not oblique...
like this attach (ab.png)...
with coresponding code:
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 10 20:33:32 2012
@author: fajar
"""
from numpy import linspace, meshgrid, array
import pylab as pl
from scipy.integrate import odeint
# membuat vektor
u = linspace(-5,5,21)
v = linspace(-5,5,21)
U,V = meshgrid(u,v)
def fu(u,v):return u
def fv(u,v):return -2*v
FU = fu(U,V)
FV = fv(U,V)
# sistem Persamaan:
def g(x,t):
y1 = x[0]
y2 = -2*x[1]
return [y1, y2]
time = linspace(0,1,100)
con = array([[1.5,3],[1.5,-3],[-1.5,3],[-1.5,-3]])
pl.figure()
Q = pl.quiver(U,V,FU,FV, units='height', hold=True)
sol = odeint(g, con[0], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='y')
sol = odeint(g, con[1], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1,color='b')
sol = odeint(g, con[2], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='m')
sol = odeint(g, con[3], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='r')
pl.autoscale(enable=True,axis='Both', tight =True)
pl.xlabel('u', weight='bold')
pl.ylabel('v', weight='bold')
pl.title('u\'=u dan v\'=-2v',weight='bold')
pl.show()
--
i'm sorry, i didn't well to speak english, but i guess you know what
mean... thanks before.... :)
How to Get symmetric plotting in pylab....
i tried this code:
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 10 20:33:32 2012
@author: fajar
"""
from numpy import linspace, meshgrid, array
import matplotlib.pyplot as pl
import matplotlib.ticker as tc
from scipy.integrate import odeint
# membuat vektor
u = linspace(-5,5,25)
v = linspace(-5,5,25)
U,V = meshgrid(u,v)
def fu(u,v): return 2*u-2*v
def fv(u,v): return 2*u-3*v
FU = fu(U,V)
FV = fv(U,V)
# sistem Persamaan:
def g(x,t):
y1 = 2*x[0]-1*x[1]
y2 = 1*x[0]-2*x[1]
return [y1, y2]
time = linspace(-1,-.6,100)
con = array([[1,2],[1.5,-3],[-1.5,3],[-1.5,-3]])
pl.figure()
Q = pl.quiver(U,V,FU,FV, units='height', hold=True)
#sol = odeint(g, con[0], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='y')
#
#sol = odeint(g, con[1], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1,color='b')
#
#sol = odeint(g, con[2], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='m')
#
#sol = odeint(g, con[3], time)
#pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='r')
#
pl.autoscale(enable=True,axis='Both', tight=True)
#tc.AutoLocator()
tc.MaxNLocator(9,symmetric=True)
#pl.xlabel('u', weight='bold')
#pl.ylabel('v', weight='bold')
#pl.title('u\'=u dan v\'=-2v',weight='bold')
#pl.autoscale()z
pl.show()
---
but i get picture like in this attach... (aa.png)
what i need is to Make side of figure stright... not oblique...
like this attach (ab.png)...
with coresponding code:
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 10 20:33:32 2012
@author: fajar
"""
from numpy import linspace, meshgrid, array
import pylab as pl
from scipy.integrate import odeint
# membuat vektor
u = linspace(-5,5,21)
v = linspace(-5,5,21)
U,V = meshgrid(u,v)
def fu(u,v):return u
def fv(u,v):return -2*v
FU = fu(U,V)
FV = fv(U,V)
# sistem Persamaan:
def g(x,t):
y1 = x[0]
y2 = -2*x[1]
return [y1, y2]
time = linspace(0,1,100)
con = array([[1.5,3],[1.5,-3],[-1.5,3],[-1.5,-3]])
pl.figure()
Q = pl.quiver(U,V,FU,FV, units='height', hold=True)
sol = odeint(g, con[0], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='y')
sol = odeint(g, con[1], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1,color='b')
sol = odeint(g, con[2], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='m')
sol = odeint(g, con[3], time)
pl.plot(sol[:,0], sol[:,1], linewidth=2.1 , color='r')
pl.autoscale(enable=True,axis='Both', tight =True)
pl.xlabel('u', weight='bold')
pl.ylabel('v', weight='bold')
pl.title('u\'=u dan v\'=-2v',weight='bold')
pl.show()
--
i'm sorry, i didn't well to speak english, but i guess you know what
mean... thanks before.... :)
El día 11 de marzo de 2012 11:31, gsal <sal...@gm...> escribió: > > I am not quite sure what you are asking, but, can you simply just add your > own attribute to the window objects? Python is friendly that way, you know? > It's dynamic. There are some dialogs not accesible using the mpl api. The save dialogs seem to be the standard ones for the underlying toolkit so reading the toolkit docs may help. Then there are the subplot params configuration dialogs. Goyo
El día 11 de marzo de 2012 12:08, todd rme <tod...@gm...> escribió: > I am interested in making a python GUI that includes an axis. Qt's > python bindings offers most of the GUI elements I need, and Qt > designer provides a great graphical design tool for making python user > interfaces. However, I notice that matplotlib is not integrated with > Qt Designer. Qt Designer allows other programs to integrate with it > by using plugins. However, matplotlib does not ship a Qt Designer > plugin. It seems that it is possible to use one, since python (x,y) > has a matplotlib Qt Designer plugin, but that is windows and I am > using Linux. Is there any chance that matplotlib could ship a Qt > Designer plugin? You should be able to use the plugin anyway. This thread is a bit disapointing but can be useful: https://groups.google.com/forum/?fromgroups#!topic/pythonxy/xSQkvxEygYE There's also a tutorial in the scipy cookbook --maybe obsolete. http://www.scipy.org/Cookbook/Matplotlib/Qt_with_IPython_and_Designer Goyo
On Sun, Mar 11, 2012 at 2:06 PM, Mike Kaufman <mc...@gm...> wrote: > On 3/11/12 8:14 AM, cgraves wrote: > >> >> Hi, here is an example script which places minor ticks with 2 per major >> tick >> (minor tick spacing is "fractional" of major tick spacing with relative >> interval of 1/2): >> >> from pylab import * >> fig=figure() >> ax=subplot(111) >> ax.autoscale(tight=True) >> plot([1,2,4],[1,2,3]) >> x_ticks_maj_spacing = >> float(abs(ax.xaxis.get_**ticklocs()[0]-ax.xaxis.get_**ticklocs()[1])) >> x_ticks_min_spacing = x_ticks_maj_spacing/2 >> ax.xaxis.set_minor_locator(**MultipleLocator(x_ticks_min_**spacing)) >> y_ticks_maj_spacing = >> float(abs(ax.yaxis.get_**ticklocs()[0]-ax.yaxis.get_**ticklocs()[1])) >> y_ticks_min_spacing = y_ticks_maj_spacing/2 >> ax.yaxis.set_minor_locator(**MultipleLocator(y_ticks_min_**spacing)) >> show() >> >> This works fine. However, if one changes the axes limits then the major >> ticks get automatically adjusted to a different interval but the minor >> ticks >> remain at the positions they were already at. To see this, either use the >> zoom tools or do the following after running the above: >> >> xlim(1,2.5) >> fig.canvas.draw() >> >> The question is, what is the best way to maintain the fractional minor >> tick >> spacing? I suppose one could set up a way to update the set_minor_locator >> and redraw the figure each time the figure axes limits are adjusted, but >> is >> there a better way? >> > > Try this: > > from pylab import * > from matplotlib.ticker import AutoMinorLocator > > clf() > ax=subplot(111) > ax.autoscale(tight=True) > plot([1,2,4],[1,2,3]) > ax.xaxis.set_minor_locator(**AutoMinorLocator(2)) > ax.yaxis.set_minor_locator(**AutoMinorLocator(2)) > draw() > > M > > PS: I believe this is a fairly new feature... > Thanks! Great news that AutoMinorLocator has been added and accomplishes this. Regarding the P.S. I can confirm that the feature was not in matplotlib 1.0.1 - I had to update to 1.1.0 to use it. Best /Chris
On 3/11/12 8:14 AM, cgraves wrote: > > Hi, here is an example script which places minor ticks with 2 per major tick > (minor tick spacing is "fractional" of major tick spacing with relative > interval of 1/2): > > from pylab import * > fig=figure() > ax=subplot(111) > ax.autoscale(tight=True) > plot([1,2,4],[1,2,3]) > x_ticks_maj_spacing = > float(abs(ax.xaxis.get_ticklocs()[0]-ax.xaxis.get_ticklocs()[1])) > x_ticks_min_spacing = x_ticks_maj_spacing/2 > ax.xaxis.set_minor_locator(MultipleLocator(x_ticks_min_spacing)) > y_ticks_maj_spacing = > float(abs(ax.yaxis.get_ticklocs()[0]-ax.yaxis.get_ticklocs()[1])) > y_ticks_min_spacing = y_ticks_maj_spacing/2 > ax.yaxis.set_minor_locator(MultipleLocator(y_ticks_min_spacing)) > show() > > This works fine. However, if one changes the axes limits then the major > ticks get automatically adjusted to a different interval but the minor ticks > remain at the positions they were already at. To see this, either use the > zoom tools or do the following after running the above: > > xlim(1,2.5) > fig.canvas.draw() > > The question is, what is the best way to maintain the fractional minor tick > spacing? I suppose one could set up a way to update the set_minor_locator > and redraw the figure each time the figure axes limits are adjusted, but is > there a better way? Try this: from pylab import * from matplotlib.ticker import AutoMinorLocator clf() ax=subplot(111) ax.autoscale(tight=True) plot([1,2,4],[1,2,3]) ax.xaxis.set_minor_locator(AutoMinorLocator(2)) ax.yaxis.set_minor_locator(AutoMinorLocator(2)) draw() M PS: I believe this is a fairly new feature...
Hi, here is an example script which places minor ticks with 2 per major tick (minor tick spacing is "fractional" of major tick spacing with relative interval of 1/2): from pylab import * fig=figure() ax=subplot(111) ax.autoscale(tight=True) plot([1,2,4],[1,2,3]) x_ticks_maj_spacing = float(abs(ax.xaxis.get_ticklocs()[0]-ax.xaxis.get_ticklocs()[1])) x_ticks_min_spacing = x_ticks_maj_spacing/2 ax.xaxis.set_minor_locator(MultipleLocator(x_ticks_min_spacing)) y_ticks_maj_spacing = float(abs(ax.yaxis.get_ticklocs()[0]-ax.yaxis.get_ticklocs()[1])) y_ticks_min_spacing = y_ticks_maj_spacing/2 ax.yaxis.set_minor_locator(MultipleLocator(y_ticks_min_spacing)) show() This works fine. However, if one changes the axes limits then the major ticks get automatically adjusted to a different interval but the minor ticks remain at the positions they were already at. To see this, either use the zoom tools or do the following after running the above: xlim(1,2.5) fig.canvas.draw() The question is, what is the best way to maintain the fractional minor tick spacing? I suppose one could set up a way to update the set_minor_locator and redraw the figure each time the figure axes limits are adjusted, but is there a better way? Best, Chris -- View this message in context: http://old.nabble.com/how-to-maintain-fractional-minor-tick-spacing-tp33480612p33480612.html Sent from the matplotlib - users mailing list archive at Nabble.com.
I am interested in making a python GUI that includes an axis. Qt's python bindings offers most of the GUI elements I need, and Qt designer provides a great graphical design tool for making python user interfaces. However, I notice that matplotlib is not integrated with Qt Designer. Qt Designer allows other programs to integrate with it by using plugins. However, matplotlib does not ship a Qt Designer plugin. It seems that it is possible to use one, since python (x,y) has a matplotlib Qt Designer plugin, but that is windows and I am using Linux. Is there any chance that matplotlib could ship a Qt Designer plugin? -Todd
I am not quite sure what you are asking, but, can you simply just add your own attribute to the window objects? Python is friendly that way, you know? It's dynamic. -- View this message in context: http://old.nabble.com/Set-various-parameters-of-a-plot-window.-tp33479160p33480317.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Don't have a solution; I was just wondering if you have tried something else, like using ipython instead of IDLE. ipython may be better suited for threading and working with pylab, etc. -- View this message in context: http://old.nabble.com/Runtime-error-with-matplotlib-in-IDLE-tp33478456p33480306.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Hello everybody, I am trying to write a rule for AwesomeWM, so that all matplotlib related windows would be floating and not tiled. For this purpose I want to filter matplotlib windows by some window attribute, like class, instance or title. Is there a way to modify the window class or instance easily? I already know how to modify the title of the window, but this is not sufficient as any dialogs, which would be created from the toolbar on the plot window will not have the same title and the filtering can not be applied to them. If I have not explained this clearly enough, please let me know, what I need to clarify. All best, Ignas A.
I have an error when running my script using matplotlib using IDLE. I suspect it is something to do with either numpy or matplotlib and I was wondering if any other users have had a similar problem. I have recently installed Python, matplotlib and numpy, I have not had it working correctly using IDLE on this machine. The error message is: Runtime Error! Program: C:\Python27\pythonw.exe This application has requested the Runtime to terminate it in an unusual way. Please contact the application's supporter team for more information. The window header says Microsoft Visual C++ Runtime Library (which seems to be about debugging). The error occurs about 50% of the time. When I run my script in the command line it runs fine everytime. I am using matplotlib and generating a pdf. If I remove the pdf generation step I still get the error. But running another script (on the csv module) don't seem to generate the error. I have searched on the internet without luck (suggestion of installing visual studio which I have got) or posting to the scipy list (well Im not using scipy). I am using Win7 32 bit and matplotlib 1.1 and numpy 1.6.1 and python 2.7. Has anyone else had similar message? Catherine
Not sure if this is the right place to post this...please instruct if wrong I'm plotting some audio data, which can get big, and alongside I have subplots of barcharts that represent onsets, RMS etc... Since I have many onsets plotting the whole thing at once results in such dense barcharts that the graph is useless. So currently I am plotting 5 seconds of audio with the respective barcharts and use forward/backward buttons to skim through the data. Show next 5 seconds etc. The whole thing is embedded in PyQt. It works but I just learned about the ScrollArea widget so I thought why not plot the whole thing and just use scroll to move around the plot. My main question is which is the common practice for doing this sort of thing? I know the data beforehand so I don't need dynamic updating. Seems scrolling should be the easiest way to do this but I haven't found example and my code doesn't work yet. Thanks Stelios -- View this message in context: http://old.nabble.com/Scrolling-window-tp33477938p33477938.html Sent from the matplotlib - users mailing list archive at Nabble.com.
One way to use images as a marker would be to use offsetbox module. Here is an example adopted from http://matplotlib.sourceforge.net/examples/pylab_examples/demo_annotation_box.html Regards, -JJ import matplotlib.pyplot as plt from matplotlib.offsetbox import OffsetImage, AnnotationBbox from matplotlib.cbook import get_sample_data import numpy as np if 1: fig = plt.gcf() fig.clf() ax = plt.subplot(111) xy = [0.3, 0.55] arr = np.arange(100).reshape((10,10)) im = OffsetImage(arr, zoom=2) ab = AnnotationBbox(im, xy, xycoords='data', pad=0.3, ) ax.add_artist(ab) # another image from matplotlib._png import read_png fn = get_sample_data("lena.png", asfileobj=False) arr_lena = read_png(fn) imagebox = OffsetImage(arr_lena, zoom=0.1) xy = (0.7, 0.4) ab = AnnotationBbox(imagebox, xy, xycoords='data', pad=0.5, ) ax.add_artist(ab) ax.set_xlim(0, 1) ax.set_ylim(0, 1) plt.draw() plt.show() On Thu, Mar 8, 2012 at 4:25 AM, Michael Droettboom <md...@st...> wrote: > It would be a nice idea. I'm not sure it's something that would work > terribly well in vector backends as the images may not scale well. I should > mention that there is already support to use arbitrary Unicode characters or > math expressions as markers already, which does work well in vector > backends. > > Mike > > > On 03/07/2012 01:59 PM, C M wrote: > > I've for now taken a different approach that means I won't need custom > markers from images. > > But I'm just curious: is there any wish/plans in Matplotlib to add support > for this? I think it could do a lot to expand what's possible in terms of > the look and feel of plots (even without things drifing into USA Today > territory!). > > Just my 0ドル.02 > > Che > > > ------------------------------------------------------------------------------ > Virtualization & Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > ------------------------------------------------------------------------------ > Virtualization & Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
Hi, JJ, I wonder why the simple text command does not work for you? e.g., > > def add_center_text(ax): > ax.text(0.5, 0.9075, "Centered Title", ha='center', va='center', > fontsize=18, > bbox=dict(boxstyle='round, pad=0.5, rounding_size=0.25', > fc="white", > ec="k", lw=2), > transform=ax.transAxes) > > The simple answer here is that I didn't understand what the transform keyword argument was doing. I'm not entirely sure, still, but I gather it has something to do with handling the changing of the axes coordinates. Man, I still have so much to learn about MPL.... Also, annotate command gives you more flexibility in text positioning. > > The axes location is supposed to be known during the drawing time. To > get the axes position, you may do something like > > ax1._axes_locator(ax1, fig._cachedRenderer) > > Of course, this need to be done after the figure is properly drawn > (e.g., after calling draw()) or during the drawing time. > > Excellent. Thank you fot taking the time to explain how this works. Although your first suggestion is what I need for the moment, I'm glad to know how to get the axes positions, should I ever need them. Thanks again! Patrick
I wonder why the simple text command does not work for you? e.g., def add_center_text(ax): ax.text(0.5, 0.9075, "Centered Title", ha='center', va='center', fontsize=18, bbox=dict(boxstyle='round, pad=0.5, rounding_size=0.25', fc="white", ec="k", lw=2), transform=ax.transAxes) Also, annotate command gives you more flexibility in text positioning. The axes location is supposed to be known during the drawing time. To get the axes position, you may do something like ax1._axes_locator(ax1, fig._cachedRenderer) Of course, this need to be done after the figure is properly drawn (e.g., after calling draw()) or during the drawing time. Regards, -JJ On Sat, Mar 10, 2012 at 1:00 PM, Patrick Marsh <pat...@gm...> wrote: > Hi, All, > > Here's an update to the problem I submitted last night. > > I was able to utilize anchored text to work for centering a title, which is > ultimately what I'm wanting to do now. (Although, I'd still like to know the > proper way to get the axes bounds when using axes_divider). The new problem > lies how to horizontally align the text inside the anchored box. When the > horizontal alignment is "left", the text lines up in the anchored box. > However, as the updated example below shows, then you use "center" or > "right", the text is now positioned outside the anchored box. Is this a bug > in how the text is aligned? If so, how might I go about tracking it down? > > > https://gist.github.com/2004869 (rev: b984ca) > > > Cheers, > Patrick > --- > Patrick Marsh > Ph.D. Student / Liaison to the HWT > School of Meteorology / University of Oklahoma > Cooperative Institute for Mesoscale Meteorological Studies > National Severe Storms Laboratory > http://www.patricktmarsh.com > > > > On Fri, Mar 9, 2012 at 12:12 AM, Patrick Marsh <pat...@gm...> > wrote: >> >> Greetings, >> >> Let me begin by saying that I've fallen in love with ImageGrid. I love the >> control it gives me in setting up plots, and I really like the control it >> offers for setting up a colorbar. Unfortunately, like all relationships, >> ImageGrid and I have hit a rough patch. >> >> I like to manually place titles and other boxes of texts on plots that I >> make using ImageGrid. However, to center things I have to know what the axes >> bounds are so I can do the centering calculations. Unfortunately, when using >> ImageGrid, or axes_divider, I have yet to find a way to get the axes bounds >> that are actually used to do the plotting. When I try to use >> >> ax.get_position().bounds >> >> I get the pre-adjusted bounds, even if I use plt.draw() before requesting >> the axes_positions. This means the only way I can center the text is by >> guessing what the final axes bounds will be. Is there any way of getting >> the final bounds? It appears anchored text is able to do it, but I haven't >> been able to... >> >> >> Here's a self-contained example script that demonstrates the problem. I >> don't use ImageGrid, instead using axes_divider, however this is the same >> problem that AxesGrid has. (I'm guessing this is because ImageGrid >> ultimately does what I did here behind the scenes.) >> >> https://gist.github.com/2004869 >> >> >> Thanks for any help! >> >> >> Patrick >> --- >> Patrick Marsh >> Ph.D. Student / Liaison to the HWT >> School of Meteorology / University of Oklahoma >> Cooperative Institute for Mesoscale Meteorological Studies >> National Severe Storms Laboratory >> http://www.patricktmarsh.com >> >> > > > ------------------------------------------------------------------------------ > Virtualization & Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >