Re: [Matplotlib-users] Stack Plot

[Trillian]

Perfect! That is what I was looking for! 

Thanks a lot! 

Trillian


Benjamin Root-2 wrote:
> 
> On Thu, Mar 8, 2012 at 5:05 PM, Trillian  wrote:
> 
>>
>> Hello All,
>>
>> How do I control a width and length of a boxes in a stack plot? Currently
>> with the code I have, I can only control the separation or the
>> white-space
>> between the two plots. I would like the top plot to be larger in length
>> and
>> narrow in width while the bottom plot to have the same width as the top
>> but
>> the length to be much shorter than the top. Please see figure.
>>
>> http://old.nabble.com/file/p33468632/RVs.png RVs.png
>>
>>
>> #!/usr/bin/env python
>>
>> import asciitable
>> data = asciitable.read('RVs.dat')
>> # To use the variables in asciitable use col1, col2, etc..
>>
>> from pylab import *
>>
>> f = figure()
>> subplots_adjust(hspace=1)
>>
>> ax1 = subplot(211)
>> ax1.plot(data.col6,data.col5, 'ko')
>> ylabel('RV using GJ406')
>> title('RV comparison')
>>
>> ax2 = subplot(212, sharex=ax1)
>> ax2.plot(data.col6,data.col5-data.col6,'ko' )
>> xlabel('RV (km/s)')
>> ylabel('Residuals (km/s)')
>> # The line below takes away the x-axis values from top plot.
>> xticklabels = ax1.get_xticklabels()+ax2.get_xticklabels()
>> setp(xticklabels, visible=True)
>> savefig('RVs.png')
>>
>> Thanks,
>>
>> Trillian
>>
>>
> Perhaps GridSpec is what you need:
> 
> http://matplotlib.sourceforge.net/users/gridspec.html
> 
> Cheers!
> Ben Root
> 
> --
> 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/
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> 
> 

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Re: [Matplotlib-users] Stack Plot

[Benjamin Root]

On Thu, Mar 8, 2012 at 5:05 PM, Trillian  wrote:

>
> Hello All,
>
> How do I control a width and length of a boxes in a stack plot? Currently
> with the code I have, I can only control the separation or the white-space
> between the two plots. I would like the top plot to be larger in length and
> narrow in width while the bottom plot to have the same width as the top but
> the length to be much shorter than the top. Please see figure.
>
> http://old.nabble.com/file/p33468632/RVs.png RVs.png
>
>
> #!/usr/bin/env python
>
> import asciitable
> data = asciitable.read('RVs.dat')
> # To use the variables in asciitable use col1, col2, etc..
>
> from pylab import *
>
> f = figure()
> subplots_adjust(hspace=1)
>
> ax1 = subplot(211)
> ax1.plot(data.col6,data.col5, 'ko')
> ylabel('RV using GJ406')
> title('RV comparison')
>
> ax2 = subplot(212, sharex=ax1)
> ax2.plot(data.col6,data.col5-data.col6,'ko' )
> xlabel('RV (km/s)')
> ylabel('Residuals (km/s)')
> # The line below takes away the x-axis values from top plot.
> xticklabels = ax1.get_xticklabels()+ax2.get_xticklabels()
> setp(xticklabels, visible=True)
> savefig('RVs.png')
>
> Thanks,
>
> Trillian
>
>
Perhaps GridSpec is what you need:

http://matplotlib.sourceforge.net/users/gridspec.html

Cheers!
Ben Root
--
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.
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[Matplotlib-users] Stack Plot

[Trillian]

Hello All, 

How do I control a width and length of a boxes in a stack plot? Currently
with the code I have, I can only control the separation or the white-space
between the two plots. I would like the top plot to be larger in length and
narrow in width while the bottom plot to have the same width as the top but
the length to be much shorter than the top. Please see figure. 

http://old.nabble.com/file/p33468632/RVs.png RVs.png 


#!/usr/bin/env python

import asciitable
data = asciitable.read('RVs.dat')
# To use the variables in asciitable use col1, col2, etc..

from pylab import *

f = figure()
subplots_adjust(hspace=1)

ax1 = subplot(211)
ax1.plot(data.col6,data.col5, 'ko')
ylabel('RV using GJ406')
title('RV comparison')

ax2 = subplot(212, sharex=ax1)
ax2.plot(data.col6,data.col5-data.col6,'ko' )
xlabel('RV (km/s)')
ylabel('Residuals (km/s)')
# The line below takes away the x-axis values from top plot. 
xticklabels = ax1.get_xticklabels()+ax2.get_xticklabels()
setp(xticklabels, visible=True)
savefig('RVs.png')

Thanks, 

Trillian


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