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<!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.