The following code plots to two PostScript (.ps) files, but the second one contains both lines.
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
plt.subplot(111)
x = [1,10]
y = [30, 1000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("first.ps")
plt.subplot(111)
x = [10,100]
y = [10, 10000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("second.ps")
How can I tell matplotlib to start afresh for the second plot?
This question is related to
python
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Just enter plt.hold(False)
before the first plt.plot, and you can stick to your original code.
If you're using Matplotlib interactively, for example in a web application, (e.g. ipython) you maybe looking for
plt.show()
instead of plt.close()
or plt.clf()
.
As stated from David Cournapeau, 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")
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.
If none of them are working then check this.. say if you have x and y arrays of data along respective axis. Then check in which cell(jupyter) you have initialized x and y to empty. This is because , maybe you are appending data to x and y without re-initializing them. So plot has old data too. So check that..
Source: Stackoverflow.com