Observers - Revision history

Jpye at 09:53, 26 October 2011

2011-10-26T09:53:01Z

← Older revision		Revision as of 09:53, 26 October 2011
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	{{stub}}		{{stub}}
	{{~~experimental~~}}		''Note: numerous enhancements by [[Aakash Goenka#Progress_reports\|Aakash Goenka]] have recently been added to this part of ASCEND''
			{{outdated}}

	The Observer tab in PyGTK GUI of ASCEND lets you capture results of 'scenario' simulations. The idea is that you set ASCEND to 'observe' various variables from your model. You do whatever you need to do to solve the model (hopefully that just means you click 'Solve'). Then when you have some numbers that you want to keep, you click 'Keep', or ctrl-K. This adds a new row in your observer table.		The Observer tab in PyGTK GUI of ASCEND lets you capture results of 'scenario' simulations. The idea is that you set ASCEND to 'observe' various variables from your model. You do whatever you need to do to solve the model (hopefully that just means you click 'Solve'). Then when you have some numbers that you want to keep, you click 'Keep', or ctrl-K. This adds a new row in your observer table.

Jpye at 23:33, 2 August 2010

2010-08-02T23:33:15Z

← Older revision		Revision as of 23:33, 2 August 2010
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	~~<div class="notice metadata" id="~~stub~~">''This article is a '''stub'''. You can help out by <span class="plainlinks">[http://ascendwiki.cheme.cmu.edu/index.php?title=Observers&action=edit expanding it]</span>. ''</div>~~		{{stub}}
	~~<div class="pageexperimental">''This page documents an '''~~experimental~~''' feature. You can help out by '''testing it''' and <span class="plainlinks">[http://ascendwiki.cheme.cmu.edu/index.php?title=Observers&action=edit recording]</span> your experiences.''</div>~~		{{experimental}}

	The Observer tab in PyGTK GUI of ASCEND lets you capture results of 'scenario' simulations. The idea is that you set ASCEND to 'observe' various variables from your model. You do whatever you need to do to solve the model (hopefully that just means you click 'Solve'). Then when you have some numbers that you want to keep, you click 'Keep', or ctrl-K. This adds a new row in your observer table.		The Observer tab in PyGTK GUI of ASCEND lets you capture results of 'scenario' simulations. The idea is that you set ASCEND to 'observe' various variables from your model. You do whatever you need to do to solve the model (hopefully that just means you click 'Solve'). Then when you have some numbers that you want to keep, you click 'Keep', or ctrl-K. This adds a new row in your observer table.

	Once you've built up a few rows, you can copy the output to the clipboard (and then directly paste it into a spreadsheet) or you can create a plot.		Once you've built up a few rows, you can copy the output to the clipboard (and then directly paste it into a spreadsheet) or you can create a plot.


	== Plotting commands ==		== Plotting commands ==
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	If you want to do anything more, you need to use the Console. Here are some example of what you can do (this was with the {{src\|models/johnpye/shm.a4c}} model from the [[Model Library]]. The resulting plots are generated using [http://matplotlib.sourceforge.net/ matplotlib], so you can use matplotlib/pylab commands to add labels, legends, etc to the plots.		If you want to do anything more, you need to use the Console. Here are some example of what you can do (this was with the {{src\|models/johnpye/shm.a4c}} model from the [[Model Library]]. The resulting plots are generated using [http://matplotlib.sourceforge.net/ matplotlib], so you can use matplotlib/pylab commands to add labels, legends, etc to the plots.

	<source lang="~~a4c~~">O=browser.observers[0]		<source lang="py">O=browser.observers[0]
	O.plot() # default: plot second col vs first col		O.plot() # default: plot second col vs first col

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	O.plot(y2=2) # default + additionally plot the third col		O.plot(y2=2) # default + additionally plot the third col
	import pylab		import pylab
	pylab.title(~~"~~a title for the graph~~"~~)		pylab.title("a title for the graph")
			pylab.xlabel("a new x-axis label")</source>
	pylab.xlabel(~~"~~a new x-axis label~~"~~)</source>

	Note that the <tt>x</tt>, <tt>y</tt>, <tt>y2</tt> arguments are indexed from zero.		Note that the <tt>x</tt>, <tt>y</tt>, <tt>y2</tt> arguments are indexed from zero.

	~~<div class="thumb tnone"><div class="thumbinner" style="width:402px;">~~[[Image:Observer-plots.png~~]] <div class="thumbcaption"><div class="magnify">[[File:Observer-plots.png~~\|~~<img src="/skins/common/images/magnify-clip.png" width="15" height="11" alt="" />~~]]~~</div></div></div></div>~~		[[Image:Observer-plots.png\|thumb\|400px\|none\|Plots created from the 'observer' tab, using the commands given above]]



	~~[[Category:Stubs]]~~
	~~[[Category:Experimental]]~~
	[[Category:Documentation]]		[[Category:Documentation]]

UploadBot: Restored page from Google Cache, uploaded by John Pye

2010-05-13T13:55:54Z

Restored page from Google Cache, uploaded by John Pye

New page

<div class="notice metadata" id="stub">''This article is a '''stub'''. You can help out by <span class="plainlinks">[http://ascendwiki.cheme.cmu.edu/index.php?title=Observers&action=edit expanding it]</span>. ''</div>
<div class="pageexperimental">''This page documents an '''experimental''' feature. You can help out by '''testing it''' and <span class="plainlinks">[http://ascendwiki.cheme.cmu.edu/index.php?title=Observers&action=edit recording]</span> your experiences.''</div>

The Observer tab in PyGTK GUI of ASCEND lets you capture results of 'scenario' simulations. The idea is that you set ASCEND to 'observe' various variables from your model. You do whatever you need to do to solve the model (hopefully that just means you click 'Solve'). Then when you have some numbers that you want to keep, you click 'Keep', or ctrl-K. This adds a new row in your observer table.

Once you've built up a few rows, you can copy the output to the clipboard (and then directly paste it into a spreadsheet) or you can create a plot.

== Plotting commands ==

If you click the 'plot' button, you will get a quick plot of the second column versus the first column.

If you want to do anything more, you need to use the Console. Here are some example of what you can do (this was with the {{src|models/johnpye/shm.a4c}} model from the [[Model Library]]. The resulting plots are generated using [http://matplotlib.sourceforge.net/ matplotlib], so you can use matplotlib/pylab commands to add labels, legends, etc to the plots.

<source lang="a4c">O=browser.observers[0]
O.plot() # default: plot second col vs first col

O.plot(x=3) # use the 4th colum for the 'x' values
O.plot(x=0,y=1,y2=2) # plot the second column and the third column versus the first column

O.plot(y2=2) # default + additionally plot the third col
import pylab
pylab.title("a title for the graph")

pylab.xlabel("a new x-axis label")</source>

Note that the <tt>x</tt>, <tt>y</tt>, <tt>y2</tt> arguments are indexed from zero.

<div class="thumb tnone"><div class="thumbinner" style="width:402px;">[[Image:Observer-plots.png]] <div class="thumbcaption"><div class="magnify">[[File:Observer-plots.png|<img src="/skins/common/images/magnify-clip.png" width="15" height="11" alt="" />]]</div></div></div></div>

[[Category:Stubs]]
[[Category:Experimental]]
[[Category:Documentation]]