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From: Curiouslearn <cur...@gm...> - 2011-02-08 20:32:54
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Sorry if the subject line does not use correct terminology. But the
following explains the question I have:
Suppose I have the following code:
import matplotlib.pyplot as plt
fig1 = plt.figure()
ax1 = fig1.add_subplot(1,1,1)
ax1.scatter(xvalues, yvalues)
ax1.axvline(1.3, color='DarkGreen')
rect = ax1.patch
rect.set_facecolor('SteelBlue') #This works
rect.set_edgecolor('red') # Is it supposed to set the color of the
border. If so, this DOES NOT work.
rect.set_linestyle('dashed') # This DOES NOT work.
rect.set_linewidth(4) # This DOES NOT work.
For the things that do not work, I tried both
plt.show()
and,
plt.savefig('this_figure.pdf')
Why do the things that I have indicated do not work?
My second question is, if I want to have only the x-axis and y-axis
line (i.e., get rid of the right edge and top edge of the axes frame)
how do I do it?
I am using the Matplotlib version that comes with Enthought Python
Distribution 6.3.
Thanks for your help.
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From: Paul I. <piv...@gm...> - 2011-02-08 23:22:37
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Curiouslearn, on 2011-02-08 15:32, wrote:
> Sorry if the subject line does not use correct terminology. But the
> following explains the question I have:
> Suppose I have the following code:
>
> import matplotlib.pyplot as plt
>
> fig1 = plt.figure()
> ax1 = fig1.add_subplot(1,1,1)
>
> ax1.scatter(xvalues, yvalues)
> ax1.axvline(1.3, color='DarkGreen')
> rect = ax1.patch
> rect.set_facecolor('SteelBlue') #This works
> rect.set_edgecolor('red') # Is it supposed to set the color of the
> border. If so, this DOES NOT work.
> rect.set_linestyle('dashed') # This DOES NOT work.
> rect.set_linewidth(4) # This DOES NOT work.
>
> For the things that do not work, I tried both
>
> plt.show()
>
> and,
>
> plt.savefig('this_figure.pdf')
>
> Why do the things that I have indicated do not work?
>
> My second question is, if I want to have only the x-axis and y-axis
> line (i.e., get rid of the right edge and top edge of the axes frame)
> how do I do it?
The names of the things you want to change are called spines.
You want:
ax1.spines['right'].set_visible(False)
ax1.spines['top'].set_visible(False)
ax1.spines['left'].set_color('red')
ax1.spines['bottom'].set_color('red')
#and so on for .set_linestyle, .set_linewidth
To hide the tickmarks that are right next to the spines, you can
do:
ax1.xaxis.tick_bottom()
ax1.yaxis.tick_left()
and finally, to color the ticks in red as well, do:
ax1.tick_params(color='red')
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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From: Curiouslearn <cur...@gm...> - 2011-02-09 00:04:21
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Thanks very much Paul. This worked great.
I wonder then what edgecolor, linewidth etc. change in case of axes.patch.
Thanks again.
On Tue, Feb 8, 2011 at 6:22 PM, Paul Ivanov <piv...@gm...> wrote:
> Curiouslearn, on 2011-02-08 15:32, wrote:
>> Sorry if the subject line does not use correct terminology. But the
>> following explains the question I have:
>> Suppose I have the following code:
>>
>> import matplotlib.pyplot as plt
>>
>> fig1 = plt.figure()
>> ax1 = fig1.add_subplot(1,1,1)
>>
>> ax1.scatter(xvalues, yvalues)
>> ax1.axvline(1.3, color='DarkGreen')
>> rect = ax1.patch
>> rect.set_facecolor('SteelBlue') #This works
>> rect.set_edgecolor('red') # Is it supposed to set the color of the
>> border. If so, this DOES NOT work.
>> rect.set_linestyle('dashed') # This DOES NOT work.
>> rect.set_linewidth(4) # This DOES NOT work.
>>
>> For the things that do not work, I tried both
>>
>> plt.show()
>>
>> and,
>>
>> plt.savefig('this_figure.pdf')
>>
>> Why do the things that I have indicated do not work?
>>
>> My second question is, if I want to have only the x-axis and y-axis
>> line (i.e., get rid of the right edge and top edge of the axes frame)
>> how do I do it?
>
> The names of the things you want to change are called spines.
>
> You want:
>
> ax1.spines['right'].set_visible(False)
> ax1.spines['top'].set_visible(False)
> ax1.spines['left'].set_color('red')
> ax1.spines['bottom'].set_color('red')
> #and so on for .set_linestyle, .set_linewidth
>
> To hide the tickmarks that are right next to the spines, you can
> do:
>
> ax1.xaxis.tick_bottom()
> ax1.yaxis.tick_left()
>
> and finally, to color the ticks in red as well, do:
>
> ax1.tick_params(color='red')
>
> 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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From: Paul I. <piv...@gm...> - 2011-02-09 00:29:37
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Curiouslearn, on 2011-02-08 19:04, wrote:
> I wonder then what edgecolor, linewidth etc. change in case of axes.patch.
They do what one would expect, but the spines were likely
preventing you from seeing this:
ax = plt.subplot(1,1,1)
[s.set_visible(False) for s in ax.spines.values()]
ax.patch.set_linewidth(2)
ax.patch.set_edgecolor('red')
plt.draw()
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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From: Curiouslearn <cur...@gm...> - 2011-02-09 00:43:41
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Thanks again, Paul! Now I understand. I tried your example and I can
see the effect of those commands.
On Tue, Feb 8, 2011 at 7:29 PM, Paul Ivanov <piv...@gm...> wrote:
> Curiouslearn, on 2011-02-08 19:04, wrote:
>> I wonder then what edgecolor, linewidth etc. change in case of axes.patch.
>
> They do what one would expect, but the spines were likely
> preventing you from seeing this:
>
> ax = plt.subplot(1,1,1)
> [s.set_visible(False) for s in ax.spines.values()]
> ax.patch.set_linewidth(2)
> ax.patch.set_edgecolor('red')
> plt.draw()
>
> best,
> --
> Paul Ivanov
> 314 address only used for lists, off-list direct email at:
> http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
>
> -----BEGIN PGP SIGNATURE-----
> Version: GnuPG v1.4.10 (GNU/Linux)
>
> iEYEARECAAYFAk1R39oACgkQe+cmRQ8+KPd9xgCfQcoPu5wU9O/k5IqlsTlUpTKD
> P6sAnjPfi4Dv1xxEDDB8WxVtiy7s1Oj9
> =/N2z
> -----END PGP SIGNATURE-----
>
> ------------------------------------------------------------------------------
> The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE:
> Pinpoint memory and threading errors before they happen.
> Find and fix more than 250 security defects in the development cycle.
> Locate bottlenecks in serial and parallel code that limit performance.
> http://p.sf.net/sfu/intel-dev2devfeb
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
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