Hi Lionel,
Thanks for the tips. The histogram plot I need can be done by hist(x). :)
I tried your commands and I like the find() function! However,
xi = x[ind]
failed with an "IndexError: invalid index". The same operation can be done with
xi = array([x[i] for i in ind])
but if a numpy function can do that it may be faster for large arrays.
cheers,
Ping
2007/9/5, Lionel Roubeyrie <[EMAIL PROTECTED]>:
> Hi Ping,
> don't know if it could help you :
>
> from pylab import *
>
> > d = Table("xyt.dat")
> x,y,t = load("xyt.dat", unpack=true)
>
> > d.plot("x", "t") # make a plot of x vs. t, N points are drawn
> plot(t, x)
>
> > d.plot("x") # make a histogram plot of x, N entries in the histogram
> bar(range(len(x)), x)
>
> > d.plot("x", "y < 3") # make a histogram plot of x where y is less than 3.
> ind = find(y < 3)
> xi = x[ind]
> bar(range(len(xi)), xi)
>
> Cheers
>
>
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