Bug summary
After showing interactive figure, the CPU utilization of python process went to 100%.
Code for reproduction
#######################################################
# Case 1: 100% cpu
import matplotlib.pyplot as plt
fig = plt.figure()
plt.plot(range(5))
plt.show()
# after closing the window
import pandas # starting 100% CPU utilization
#######################################################
# Case 2: 100% cpu
import matplotlib.pyplot as plt
import pandas as pd
# No CPU utilization at the moment
fig = plt.figure()
df = pd.DataFrame(range(5))
plt.plot(df[0]) # with this, CPU utilization is 100%.
plt.show() # the same
# after closing the window, still 100%
#######################################################
# Case 3: no issue.
import matplotlib.pyplot as plt
fig = plt.figure()
plt.plot(range(5))
plt.show() # strangely, this has no problem.
Actual outcome
no problem except it consumes 100% cpu. The figure is still responsive.
Expected outcome
matplotlib backend should not consume 100% cpu.
Additional information
-
pandas version 2.2.3 (pip)
-
Certain operation (closing interactive figures) causes 100% cpu with 'macosx' backend.
-
Closing the figure, or calling plt.close() does not help. (backend: macosx)
-
No problem with qt5agg backend.
Operating system
Mac (Intel) Ventura 13.6.6
Matplotlib Version
3.9.2
Matplotlib Backend
macosx
Python version
Python 3.12.3
Jupyter version
No response
Installation
pip
Bug summary
After showing interactive figure, the CPU utilization of python process went to 100%.
Code for reproduction
Actual outcome
no problem except it consumes 100% cpu. The figure is still responsive.
Expected outcome
matplotlib backend should not consume 100% cpu.
Additional information
pandas version 2.2.3 (pip)
Certain operation (closing interactive figures) causes 100% cpu with 'macosx' backend.
Closing the figure, or calling
plt.close()does not help. (backend: macosx)No problem with
qt5aggbackend.Operating system
Mac (Intel) Ventura 13.6.6
Matplotlib Version
3.9.2
Matplotlib Backend
macosx
Python version
Python 3.12.3
Jupyter version
No response
Installation
pip