Hi Jouni,

Jouni K. Seppänen schrieb am 09/16/2007 05:51 PM:
> Fabian Braennstroem <[EMAIL PROTECTED]> writes:
> 
>> Lets say I have to columns, the I could use in a script:
>>
>>        res=plot(array_mapped[:,0],array_mapped[:,1], 'b',
>>                 array_mapped[:,0],array_mapped[:,2], 'g')
>>
>> The next time a have 5 columns in a file and want to plot all 5
>> columns without adjusting the 'plot' command in the script, but just
>> by defining an argument when starting the script.
> 
> Perhaps 'plot' is not the ideal interface for your purposes. How about
> something like this:
> 
> 
> 
> ------------------------------------------------------------------------
> 
> #!/usr/bin/env python
> 
> import matplotlib
> from matplotlib.lines import Line2D
> import pylab
> import numpy as npy
> 
> def myplot(ax, matrix, linestyle, color):
>     for column in range(1, matrix.shape[1]):
>         line = Line2D(matrix[:,0], matrix[:,column],
>                       linestyle=linestyle, color=color)
>         ax.add_line(line)
> 
> colors = 'brk'
> 
> for d in range(2,5):
>     fig=pylab.figure()
>     ax=fig.add_subplot(111)
>     matrix = npy.random.rand(d,d)
>     matrix[:,0] = npy.linspace(0, 1, num=d)
>     myplot(ax, matrix, '-', colors[d-2])
>     
> pylab.show()

Thanks for your help! add_line seems to be the right
function... I am not sure yet, if I need your function call,
but I will check it!?

Fabian


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