Re: [Matplotlib-users] colorbar questions ...
Hi Ben,
Thanks for your reply it sure helps.
My awkward work around until now was to put before the colorbar:
matplotlib.rc('axes',edgecolor='w')
and the return it to
matplotlib.rc('axes',edgecolor='k').
Does some one knows how to increase the distance between the color bar and
the X-axis ?
Now I noticed that the color bar hides the xlabel
Thanks again,
Oz
I agree, Colorbar isn't the most elegant of objects and is probably due for
some improvements. I am sure there is probably a better way to do what you
have done, but I am not familiar with it. Anyway, to get rid of the box
around the colorbar, the colorbar object has a member attribute called
outline which you can set_visible(False).
a = plt.colorbar()
a.outline.set_visible(False)
Should do the trick for that part.
I hope this helps!
Ben Root
--
Oz Nahum
Graduate Student
Zentrum für Angewandte Geologie
Universität Tübingen
---
Imagine there's no countries
it isn't hard to do
Nothing to kill or die for
And no religion too
Imagine all the people
Living life in peace
--
Start uncovering the many advantages of virtual appliances
and start using them to simplify application deployment and
accelerate your shift to cloud computing.
http://p.sf.net/sfu/novell-sfdev2dev___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] colorbar questions ...
On Sat, Sep 11, 2010 at 2:10 PM, Oz Nahum nahu...@gmail.com wrote:
Hi Everyone again,
So, with the weekend comes some time to think and I found an answer to
another question of mine.
I know now how to remove xticks in colorbar, and I also know how to
customize the widths of the lines in the color bar.
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
from pylab import *
matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
# Create a simple contour plot with labels using default colors. The
# inline argument to clabel will control whether the labels are draw
# over the line segments of the contour, removing the lines beneath
# the label
plt.figure()
CS = plt.contour(X, Y, Z)
plt.clabel(CS, inline=1, fontsize=10,inlinespacing=50)
a=plt.colorbar()
ticks = a.ax.get_xticklines()
lines = a.ax.get_ygridlines()
children=a.ax.get_children()
children=a.ax.get_children()
children[4].set_linewidths([12,12,12,12,12,12])
for tick in ticks:
setp(tick, [])
plt.title('Customize colorbar')
I hope someone finds that useful. And someone is still following my
monologue, my question, how to remove the axes around the colorbar, or at
least changed the to be non-visible, still stands...
Thanks,
Oz
Oz,
I agree, Colorbar isn't the most elegant of objects and is probably due for
some improvements. I am sure there is probably a better way to do what you
have done, but I am not familiar with it. Anyway, to get rid of the box
around the colorbar, the colorbar object has a member attribute called
outline which you can set_visible(False).
a = plt.colorbar()
a.outline.set_visible(False)
Should do the trick for that part.
I hope this helps!
Ben Root
--
Start uncovering the many advantages of virtual appliances
and start using them to simplify application deployment and
accelerate your shift to cloud computing
http://p.sf.net/sfu/novell-sfdev2dev
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] colorbar questions ...
On 9/11/2010 3:10 PM, Oz Nahum wrote: my question, how to remove the axes around the colorbar, or at least changed the to be non-visible, still stands... Did you resolve this? Alan Isaac -- Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing http://p.sf.net/sfu/novell-sfdev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] colorbar questions ...
Hi Everyone again,
So, with the weekend comes some time to think and I found an answer to
another question of mine.
I know now how to remove xticks in colorbar, and I also know how to
customize the widths of the lines in the color bar.
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
from pylab import *
matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
# Create a simple contour plot with labels using default colors. The
# inline argument to clabel will control whether the labels are draw
# over the line segments of the contour, removing the lines beneath
# the label
plt.figure()
CS = plt.contour(X, Y, Z)
plt.clabel(CS, inline=1, fontsize=10,inlinespacing=50)
a=plt.colorbar()
ticks = a.ax.get_xticklines()
lines = a.ax.get_ygridlines()
children=a.ax.get_children()
children=a.ax.get_children()
children[4].set_linewidths([12,12,12,12,12,12])
for tick in ticks:
setp(tick, [])
plt.title('Customize colorbar')
I hope someone finds that useful. And someone is still following my
monologue, my question, how to remove the axes around the colorbar, or at
least changed the to be non-visible, still stands...
Thanks,
Oz
--
Oz Nahum
Graduate Student
Zentrum für Angewandte Geologie
Universität Tübingen
---
Imagine there's no countries
it isn't hard to do
Nothing to kill or die for
And no religion too
Imagine all the people
Living life in peace
--
Start uncovering the many advantages of virtual appliances
and start using them to simplify application deployment and
accelerate your shift to cloud computing
http://p.sf.net/sfu/novell-sfdev2dev
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] colorbar questions ...
Hi Everyone, First I must cryout a little bit :-) Why colorbar is always so tricky ??? I'm trying to fine tune the colorbar of my contour plots. I would like to do the following things: 1) remove the box around it 2) hide the xticks 3) make the lines with the indicating colors with custom widths so far I succeeded only with task 2 ! here is what I did: cs=axs[4].contour(x,y,phcr1t,linestyles='solid',cmap=cm.jet_r) a=fig.colorbar(cs,ax=axs[4],orientation='horizontal') ticks = a.ax.get_xticklines() #print getp(a.ax) for tick in ticks: setp(tick,alpha=0) Would be great if someone could tell me how to do the 2 other things ... Many thanks -- Oz Nahum Graduate Student Zentrum für Angewandte Geologie Universität Tübingen --- Imagine there's no countries it isn't hard to do Nothing to kill or die for And no religion too Imagine all the people Living life in peace -- Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing http://p.sf.net/sfu/novell-sfdev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
