Memory leak
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
Research direction
Start with the supplied minimal reproducer in a Jupyter notebook, comparing memory behavior with %matplotlib widget enabled and commented out. Investigate the ipympl widget integration and verify that after plotting and calling gc.collect(), the data frame and plot memory are released as expected.
Written by the indexing model from the issue text.
Description
Describe the issue
Plotting a 30M row data frame causes memory only to increase. Also memory isn't collected by gc.collect.
As discussed with matplotlib guys in https://github.com/matplotlib/matplotlib/issues/21259 (and Jupyter guys: https://github.com/jupyterlab/jupyterlab/issues/11182) - we tested and it works as intended. I tested further and think I found the issue - %matplotlib widget:
%matplotlib widget # if this is commented out, gc.collect releases the memory
import gc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
zeros = pd.Series(np.zeros(30_000_000))
df = pd.concat([zeros, zeros, zeros, zeros], axis=1)
FROM = 0
TO = 10_000_000 # df.shape[0]
color_spread = "grey"
fig, axs = plt.subplots(1, 1, sharex=True)
ax2 = axs.twinx()
ax2.plot(df[df.columns[0]][FROM:TO], color="blue")
ax2.plot(df[df.columns[1]][FROM:TO], color="red")
ax2.tick_params(axis="y", labelcolor="red")
ax1 = axs.twinx()
ax1.plot(df[df.columns[2]][FROM:TO], color="orange")
ax1.plot(df[df.columns[3]][FROM:TO], color="yellow")
fig.tight_layout()
plt.show()
gc.collect()
Versions
3.7.10 | packaged by conda-forge | (default, Feb 19 2021, 16:07:37)
[GCC 9.3.0]
ipympl version: 0.7.0
jupyter core : 4.7.1
jupyter-notebook : 6.4.3
qtconsole : not installed
ipython : 7.27.0
ipykernel : 6.4.1
jupyter client : 7.0.2
jupyter lab : 3.1.11
nbconvert : 6.1.0
ipywidgets : 7.6.5
nbformat : 5.1.3
traitlets : 5.1.0
Config option `kernel_spec_manager_class` not recognized by `ListNBExtensionsApp`.
Known nbextensions:
config dir: /home/test/PROGS/miniconda3/envs/puma-lab/etc/jupyter/nbconfig
notebook section
jupyter-matplotlib/extension enabled
- Validating: OK
nbdime/index enabled
- Validating: OK
jupyter-js-widgets/extension enabled
- Validating: OK
nbextensions_configurator/config_menu/main enabled
- Validating: problems found:
- require? X nbextensions_configurator/config_menu/main
contrib_nbextensions_help_item/main enabled
- Validating: OK
tree section
nbextensions_configurator/tree_tab/main enabled
- Validating: problems found:
- require? X nbextensions_configurator/tree_tab/main
Config option `kernel_spec_manager_class` not recognized by `ListLabExtensionsApp`.
[W 2021-10-07 12:20:00.836 LabApp] Config option `kernel_spec_manager_class` not recognized by `LabApp`.
JupyterLab v3.1.11
/home/test/PROGS/miniconda3/envs/puma-lab/share/jupyter/labextensions
jupyter-matplotlib v0.9.0 enabled OK
nbdime-jupyterlab v2.1.0 enabled OK
@jupyterlab/git v0.32.2 enabled OK (python, jupyterlab-git)
@pyviz/jupyterlab_pyviz v2.1.0 enabled OK (python, pyviz_comms)
@jupyter-widgets/jupyterlab-manager v3.0.1 enabled OK (python, jupyterlab_widgets)
Other labextensions (built into JupyterLab)
app dir: /home/test/PROGS/miniconda3/envs/puma-lab/share/jupyter/lab
- Dominant language
- Jupyter Notebook
- Stars
- 1.7k
- Forks
- 234
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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