Hi,
could you use a loop to solve it?
arr1list = [np.arange(10) + i for i in range(10)]
arr2list = [np.arange(10) -i for i in range(10)]
for arr1,arr2 in zip(arr1list,arr2list):
plot(arr1,arr2)
you can use a more object oriented way:
fig = plt.figure()
ax = fig.add_subplot()
for arr1,arr2 in zip(arr1list,arr2list):
ax.plot(arr1,arr2)
code not tested.
cheers,
Chao
···
On Thu, Feb 21, 2013 at 4:17 AM, lkz2366 [via matplotlib] <[hidden email]> wrote:
I am confused on how to plot a variable number of XY plots on a single chart. I want to superimpose XY plots on a single chart but the number of plots is unknown until runtime.
For example, if I want to plot 4 plots the code would be:
figure()
plot(x1,y1,x2,y2,x3,y3,x4,y4)
show()
But the number of plots is variable and could be anywhere from 5-30. Any ideas on how I can do this?
I already have the rest of my program working. The program reads all of the data from all of the files in a target directory and writes the data to X and Y lists.
Thanks for any help.
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