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()
--
Jouni K. Seppänen
http://www.iki.fi/jks
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