Python plt: close or clear figure does not work

2024/4/14 9:20:03

I generate a lots of figures with a script which I do not display but store to harddrive. After a while I get the message

/usr/lib/pymodules/python2.7/matplotlib/ RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (matplotlib.pyplot.figure) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam figure.max_num_figures).max_open_warning, RuntimeWarning)

Thus, I tried to close or clear the figures after storing. So far, I tried all of the followings but no one works. I still get the message from above.


And furthermore I tried to restrict the number of open figures by


Here follows a piece of sample code that behaves like described above. I added the different options I tried as comments at the places I tried them.

from pandas import DataFrame
from numpy import random
df = DataFrame(random.randint(0,10,40))import matplotlib.pyplot as plt
for i in range(0,30):fig, ax = plt.subplots()ax.hist([df])plt.savefig("/home/userXYZ/Development/pic_test.png")#plt.figure().clf()#plt.figure().clear()#plt.clf()#plt.close() # results in an error#plt.close('all') # also error#plt.close(plt.figure()) # also error

To be complete, that is the error I get when using plt.close:

can't invoke "event" command: application has been destroyedwhile executing "event generate $w <>"(procedure "ttk::ThemeChanged" line 6)invoked from within "ttk::ThemeChanged"


The correct way to close your figures would be to use plt.close(fig), as can be seen in the below edit of the code you originally posted.

from pandas import DataFrame
from numpy import random
df = DataFrame(random.randint(0,10,40))import matplotlib.pyplot as plt
for i in range(0,30):fig, ax = plt.subplots()ax.hist(df)        name = 'fig'+str(i)+'.png'  # Note that the name should change dynamicallyplt.savefig(name)plt.close(fig)              # <-- use this line

The error that you describe at the end of your question suggests to me that your problem is not with matplotlib, but rather with another part of your code (such as ttk).

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