How do I tell matplotlib that I am done with a plot?
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Chapters
00:00 How Do I Tell Matplotlib That I Am Done With A Plot?
00:27 Accepted Answer Score 141
00:38 Answer 2 Score 224
00:52 Answer 3 Score 38
01:24 Answer 4 Score 14
01:33 Thank you
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Full question
https://stackoverflow.com/questions/7418...
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Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
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Tags
#python #matplotlib #plot
#avk47
Rise to the top 3% as a developer or hire one of them at Toptal: https://topt.al/25cXVn
--------------------------------------------------
Music by Eric Matyas
https://www.soundimage.org
Track title: Over a Mysterious Island Looping
--
Chapters
00:00 How Do I Tell Matplotlib That I Am Done With A Plot?
00:27 Accepted Answer Score 141
00:38 Answer 2 Score 224
00:52 Answer 3 Score 38
01:24 Answer 4 Score 14
01:33 Thank you
--
Full question
https://stackoverflow.com/questions/7418...
--
Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
--
Tags
#python #matplotlib #plot
#avk47
ANSWER 1
Score 224
There is a clear figure command, and it should do it for you:
plt.clf()
If you have multiple subplots in the same figure
plt.cla()
clears the current axes.
ACCEPTED ANSWER
Score 141
You can use figure to create a new plot, for example, or use close after the first plot.
ANSWER 3
Score 38
As stated from @DavidCournapeau, use figure().
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
plt.figure()
x = [1,10]
y = [30, 1000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("first.ps")
plt.figure()
x = [10,100]
y = [10, 10000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("second.ps")
Or subplot(121) / subplot(122) for the same plot, different position.
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
plt.subplot(121)
x = [1,10]
y = [30, 1000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.subplot(122)
x = [10,100]
y = [10, 10000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("second.ps")
ANSWER 4
Score 14
Just enter plt.hold(False) before the first plt.plot, and you can stick to your original code.