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On 2007年9月13日, Fabian Braennstroem apparently wrote: > Does nobody have an idea; especially for the 'dynamic' > number of plotted arrays!? The question is unclear. The problem seems easy enough, if you get your hands on the arguments to your script. http://homepage.mac.com/andykopra/pdm/tutorials/simplifying_script_arguments.html hth, Alan Isaac
Does nobody have an idea; especially for the 'dynamic' number of plotted arrays!? Regards! Fabian Fabian Braennstroem schrieb am 09/09/2007 09:01 PM: > Hi, > > I have a small script which reads a csv file with several > columns and puts it into an scipay array, which > I can plot using matplotlib. It works fine, but just with > explicitly setting the number of columns: > > res=loglog(array_mapped[:,0],array_mapped[:,1], 'b', > array_mapped[:,0],array_mapped[:,2], 'g', > array_mapped[:,0],array_mapped[:,3], 'r', > array_mapped[:,0],array_mapped[:,4], 'y', > array_mapped[:,0],array_mapped[:,5], 'k', > array_mapped[:,0],array_mapped[:,6], '-bo', > linewidth = 2) > > Is there a way to define the number of columns, which I want > to plot? Or even better, can I apply an sys.argv to > define the plotted columns, e.g. > "python csvplot.py all": which plots all columns with its > value for the y-coordinate and the line-number as x-coordinate > "python csvplot.py all1": which does the same as above, but > using column 1 as abscissae > "python csvplot.py 1 2 5": which plots columns 2 and 5 > against column 1... > > Would be nice, if anybody has an idea, how to achieve this!? > Regards! > Fabian > > > ------------------------------------------------------------------------- > This SF.net email is sponsored by: Microsoft > Defy all challenges. Microsoft(R) Visual Studio 2005. > http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/
Hi, pylab.scatter(x,y) pylab.errorbar(x,y,yerr,linestyle='None') if you want to use scatter, or alternatively: pylab.errorbar(x,y,yerr,fmt='o',linestyle='None') Manuel Armen Nalian wrote: > Hello, > I was wondering where I can get an example of a scatter plot with error > bars. > I have time measurements and the stds > 0 23 0.23 > 1 25.1 0.21 > 4 27 0.1 > 7 29 0.21 > 9 35 0.1 > > > how can I get a scatter plot with error bars? I know I can get a bar > plot, but I need just a symbol with error bars. > Thank you, > Armen > > ------------------------------------------------------------------------- > This SF.net email is sponsored by: Microsoft > Defy all challenges. Microsoft(R) Visual Studio 2005. > http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Hi, pylab.scatter(x,y) pylab.errorbar(x,y,yerr,linestyle='None') if you want to use scatter, or alternatively: pylab.errorbar(x,y,yerr,fmt='o',linestyle='None') Manuel Armen Nalian wrote: > Hello, > I was wondering where I can get an example of a scatter plot with error > bars. > I have time measurements and the stds > 0 23 0.23 > 1 25.1 0.21 > 4 27 0.1 > 7 29 0.21 > 9 35 0.1 > > > how can I get a scatter plot with error bars? I know I can get a bar > plot, but I need just a symbol with error bars. > Thank you, > Armen > > ------------------------------------------------------------------------- > This SF.net email is sponsored by: Microsoft > Defy all challenges. Microsoft(R) Visual Studio 2005. > http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Hello, I was wondering where I can get an example of a scatter plot with error bars. I have time measurements and the stds 0 23 0.23 1 25.1 0.21 4 27 0.1 7 29 0.21 9 35 0.1 how can I get a scatter plot with error bars? I know I can get a bar plot, but I need just a symbol with error bars. Thank you, Armen
On 2007年9月13日, Steve Schmerler apparently wrote: > two_scales.py in the mpl examples? Yes, that is pretty good, and much better than the approaches used in the examples behind the screen shots: http://matplotlib.sourceforge.net/screenshots.html Thanks! Alan