# Multiple XY plots

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()
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.

http://matplotlib.1069221.n5.nabble.com/Multiple-XY-plots-tp40451.html

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Chao YUE
Laboratoire des Sciences du Climat et de l’Environnement (LSCE-IPSL)
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Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16

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Ok, I finally got it working after a couple of hours of experimenting. I
couldn't figure out how to get your methods to work, maybe because I'm such
a novice at Python. But, it was as easy as using a simple 'for' loop.

num = the number of lists to plot

time = a list of lists
volts = a list of lists

figure()
for x in range(0,num):
plot(time[x],volt[x])
show()

···

--
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