Re: [Matplotlib-users] hide labels
Francesco Montesano, on 2011-02-04 17:01, wrote: Dear all again, I've tried to play with it again, but I couldn't find a solution for the problem. For clarity I report an example of what each of the subplots looks like: Hi Francesco, thanks for the clarification, here are two ways to get the look you want. I added some comments to help you understand what was going on before. (The resulting figure is attached, just in case). import numpy as np import matplotlib.pyplot as plt mean=np.array([-0.9206394, -0.90127456, -0.91983625, -0.97765539, -1.02991184, -1.02267017, -0.97730167, -0.93715172, -0.94324653, -0.92884379]) stddev= np.array([0.16351397,0.15075966,0.13413909,0.15404823,0.13559582, 0.13109754,0.12128598,0.11589682,0.11921571,0.10866761]) ax = plt.figure().add_axes([0.1,0.1,0.8,0.8]) ax.errorbar(np.arange(10,20)/100., mean, yerr=stddev) ax.set_xlim([0.095, 0.195]) lab = ax.get_ymajorticklabels() plt.draw() # ticks only get text assigned during a call to draw print lab for i in lab: print i # note that \u2212 is a unicode minus sign # this work for the first draw - relies on l.get_text() returning # nothing for labels which aren't used/drawn - which isn't the # case in general after panning and zooming interactively shown_lab = [l for l in lab if l.get_text()] shown_lab[0].set_visible(False) shown_lab[-1].set_visible(False) ## alternative solution without extra draw(). more robust, can be ## used even after initial draw. #ymin,ymax = ax.get_ylim() #tl = ax.yaxis.get_majorticklocs() #lab[(tlymin).sum()].set_visible(False) #lab[-(tlymax).sum()-1].set_visible(False) ## hybrid of the two. #ymin,ymax = ax.get_ylim() #tl = ax.yaxis.get_majorticklocs() #shown_lab = [l for l,t in zip(lab,tl) if tymin and tymax) #shown_lab[0].set_visible(False) #shown_lab[-1].set_visible(False) plt.show() best, -- Paul Ivanov 314 address only used for lists, off-list direct email at: http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 attachment: hide-ticklabels.png signature.asc Description: Digital signature -- The modern datacenter depends on network connectivity to access resources and provide services. The best practices for maximizing a physical server's connectivity to a physical network are well understood - see how these rules translate into the virtual world? http://p.sf.net/sfu/oracle-sfdevnlfb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] hide labels
For an interactive use, you may use callbacks to update the visibility
of ticks automatically.
Regards,
-JJ
import matplotlib.transforms as mtransforms
def update_yticks(ax):
axis = ax.yaxis
interval = axis.get_view_interval()
# get visible ticks
myticks = [t for t in axis.iter_ticks() \
if mtransforms.interval_contains(interval, t[1])]
# make all ticks visible again
for mytick in myticks: mytick[0].label1.set_visible(True)
# make first tick invisible
myticks[0][0].label1.set_visible(False)
# make last tick invisible
myticks[-1][0].label1.set_visible(False)
import matplotlib.pyplot as plt
ax = plt.subplot(111)
update_yticks(ax)
cid = ax.callbacks.connect('ylim_changed', update_yticks)
On Sun, Feb 6, 2011 at 5:17 PM, Paul Ivanov pivanov...@gmail.com wrote:
Francesco Montesano, on 2011-02-04 17:01, wrote:
Dear all again,
I've tried to play with it again, but I couldn't find a
solution for the problem. For clarity I report an example of
what each of the subplots looks like:
Hi Francesco,
thanks for the clarification, here are two ways to get the look
you want. I added some comments to help you understand what was
going on before. (The resulting figure is attached, just in case).
import numpy as np
import matplotlib.pyplot as plt
mean=np.array([-0.9206394, -0.90127456, -0.91983625, -0.97765539, -1.02991184,
-1.02267017, -0.97730167, -0.93715172, -0.94324653, -0.92884379])
stddev= np.array([0.16351397,0.15075966,0.13413909,0.15404823,0.13559582,
0.13109754,0.12128598,0.11589682,0.11921571,0.10866761])
ax = plt.figure().add_axes([0.1,0.1,0.8,0.8])
ax.errorbar(np.arange(10,20)/100., mean, yerr=stddev)
ax.set_xlim([0.095, 0.195])
lab = ax.get_ymajorticklabels()
plt.draw() # ticks only get text assigned during a call to draw
print lab
for i in lab:
print i # note that \u2212 is a unicode minus sign
# this work for the first draw - relies on l.get_text() returning
# nothing for labels which aren't used/drawn - which isn't the
# case in general after panning and zooming interactively
shown_lab = [l for l in lab if l.get_text()]
shown_lab[0].set_visible(False)
shown_lab[-1].set_visible(False)
## alternative solution without extra draw(). more robust, can be
## used even after initial draw.
#ymin,ymax = ax.get_ylim()
#tl = ax.yaxis.get_majorticklocs()
#lab[(tlymin).sum()].set_visible(False)
#lab[-(tlymax).sum()-1].set_visible(False)
## hybrid of the two.
#ymin,ymax = ax.get_ylim()
#tl = ax.yaxis.get_majorticklocs()
#shown_lab = [l for l,t in zip(lab,tl) if tymin and tymax)
#shown_lab[0].set_visible(False)
#shown_lab[-1].set_visible(False)
plt.show()
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
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Version: GnuPG v1.4.10 (GNU/Linux)
iEYEARECAAYFAk1OWQMACgkQe+cmRQ8+KPekfgCfcY+R1vb2i/l/AoVsFZwsyqCC
ihoAn1uni4kEu4Kq+B0IdCu26Kw1aA9Q
=B6ZO
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--
The modern datacenter depends on network connectivity to access resources
and provide services. The best practices for maximizing a physical server's
connectivity to a physical network are well understood - see how these
rules translate into the virtual world?
http://p.sf.net/sfu/oracle-sfdevnlfb
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
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--
The modern datacenter depends on network connectivity to access resources
and provide services. The best practices for maximizing a physical server's
connectivity to a physical network are well understood - see how these
rules translate into the virtual world?
http://p.sf.net/sfu/oracle-sfdevnlfb
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] hide labels
Dear all again, I've tried to play with it again, but I couldn't find a solution for the problem. For clarity I report an example of what each of the subplots looks like: import numpy as np import matplotlib.pyplot as plt mean = np.array([-0.9206394, -0.90127456, -0.91983625, -0.97765539, -1.02991184, -1.02267017, -0.97730167, -0.93715172, -0.94324653, -0.92884379]) stddev = np.array([0.16351397, 0.15075966, 0.13413909, 0.15404823, 0.13559582, 0.13109754, 0.12128598, 0.11589682, 0.11921571, 0.10866761]) ax = plt.figure().add_axes([0.1,0.1,0.8,0.8]) ax.errorbar(np.arange(10,20)/100., mean, yerr=stddev) ax.set_xlim([0.095, 0.195]) lab = ax.get_ymajorticklabels() print lab for i in lab: print i plt.show() as output of this script I get a list of 7 Text yticklabel objects Text(0,0,'') Text(0,0,'') Text(0,0,'') Text(0,0,'') Text(0,0,'') Text(0,0,'') Text(0,0,'') In the plot instead I only have only 5 y tick labels, as visible from the attachment. In this case if I set the first and the last label invisible, nothing changes, and if I have other plots under this the plot becomes ugly/unreadable. I hope to have been clearer than in my previous mail. Any suggestion on how to fix or find a workaround in order to get the same number of tick labels as the ones actually plotted. Thank in advance Fra 2011/2/1 Francesco Montesano franz.berges...@googlemail.com: Dear all, I'm producing a single figure with subplots arrange in a single columns. They all share the same x range but the y variable change from subplot to subplot In order have a nicer figure I hide the first and the last y label of each subplot in the following way ytl = subpl.get_ymajorticklabels() ytl[0].set_visible(False) ytl[-1].set_visible(False) It was well in most cases. But I've noticed that in some plot the first and/or the last label remains. In this cases, if I print ytl, it writes a list of n Text yticklabel objects, where n is larger by 1 or 2 than the number of labels shown before I make them invisible. So I end up having some label (nearly) exactly on the upper and/or bottom range of the plot. Is there a way to force the axis to return exactly the number of labels shown in the plot? Thanks in advance, Francesco -- personals: monty...@yahoo.it, monte_...@hotmail.com (messenger), franz.berges...@googlemail.com. work: monte...@mpe.mpg.de http://picasaweb.google.it/franz.bergesund attachment: example.png-- The modern datacenter depends on network connectivity to access resources and provide services. The best practices for maximizing a physical server's connectivity to a physical network are well understood - see how these rules translate into the virtual world? http://p.sf.net/sfu/oracle-sfdevnlfb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] hide labels
Dear all, I'm producing a single figure with subplots arrange in a single columns. They all share the same x range but the y variable change from subplot to subplot In order have a nicer figure I hide the first and the last y label of each subplot in the following way ytl = subpl.get_ymajorticklabels() ytl[0].set_visible(False) ytl[-1].set_visible(False) It was well in most cases. But I've noticed that in some plot the first and/or the last label remains. In this cases, if I print ytl, it writes a list of n Text yticklabel objects, where n is larger by 1 or 2 than the number of labels shown before I make them invisible. So I end up having some label (nearly) exactly on the upper and/or bottom range of the plot. Is there a way to force the axis to return exactly the number of labels shown in the plot? Thanks in advance, Francesco -- Special Offer-- Download ArcSight Logger for FREE (a $49 USD value)! Finally, a world-class log management solution at an even better price-free! Download using promo code Free_Logger_4_Dev2Dev. Offer expires February 28th, so secure your free ArcSight Logger TODAY! http://p.sf.net/sfu/arcsight-sfd2d___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
