I need to create a figure in a file without displaying it within IPython notebook. I am not clear on the interaction between IPython
and matplotlib.pylab
in this regard. But, when I call pylab.savefig("test.png")
the current figure get's displayed in addition to being saved in test.png
. When automating the creation of a large set of plot files, this is often undesirable. Or in the situation that an intermediate file for external processing by another app is desired.
Not sure if this is a matplotlib
or IPython
notebook question.
This is a matplotlib question, and you can get around this by using a backend that doesn't display to the user, e.g. 'Agg':
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.plot([1,2,3])
plt.savefig('/tmp/test.png')
EDIT: If you don't want to lose the ability to display plots, turn off Interactive Mode, and only call plt.show()
when you are ready to display the plots:
import matplotlib.pyplot as plt
# Turn interactive plotting off
plt.ioff()
# Create a new figure, plot into it, then close it so it never gets displayed
fig = plt.figure()
plt.plot([1,2,3])
plt.savefig('/tmp/test0.png')
plt.close(fig)
# Create a new figure, plot into it, then don't close it so it does get displayed
plt.figure()
plt.plot([1,3,2])
plt.savefig('/tmp/test1.png')
# Display all "open" (non-closed) figures
plt.show()
We don't need to plt.ioff()
or plt.show()
(if we use %matplotlib inline
). You can test above code without plt.ioff()
. plt.close()
has the essential role. Try this one:
%matplotlib inline
import pylab as plt
# It doesn't matter you add line below. You can even replace it by 'plt.ion()', but you will see no changes.
## plt.ioff()
# Create a new figure, plot into it, then close it so it never gets displayed
fig = plt.figure()
plt.plot([1,2,3])
plt.savefig('test0.png')
plt.close(fig)
# Create a new figure, plot into it, then don't close it so it does get displayed
fig2 = plt.figure()
plt.plot([1,3,2])
plt.savefig('test1.png')
If you run this code in iPython, it will display a second plot, and if you add plt.close(fig2)
to the end of it, you will see nothing.
In conclusion, if you close figure by plt.close(fig)
, it won't be displayed.