Closed
Description
Bug summary
As reported in jupyterlab/jupyterlab#11182, running below code with a 30M row data frame (pandas) only increases memory.
Code for reproduction
%matplotlib widget # with this commented out or not, same result
import modin.pandas as pd
import matplotlib.pyplot as plt
# get your df
plt.rcParams["figure.figsize"] = [40, 15]
plt.rcParams["figure.autolayout"] = True
# plt.cla() # with this commented out or not, same result
# plt.clf() # with this commented out or not, same result
# plt.close(fig) # with this commented out or not, same result
# this works but then of course the figure is empty
# import gc
# fig.clear() # also this must be commented out on the second run since on the first one it's not defined
# gc.collect()
fig, axs = plt.subplots(1, 1, sharex=True)
# fig.clear() # draws only one plot, still leaks
axs.plot(df[df.columns[0]], color="black")
ax1 = axs.twinx()
ax1.plot(df[df.columns[1]], color="blue")
# with this 2 lines commented out or not, same result
fig.tight_layout()
plt.show()Actual outcome
Memory only increases.
Expected outcome
No memory leak prefferably.
Operating system
Ubuntu 21.04
Matplotlib Version
3.4.3
Matplotlib Backend
Qt5Agg, same with %matplotlib and %matplotlib widget
Python version
3.7.10
Jupyter version
3.1.11
Other libraries
Conda's env.yaml:
name: test
channels:
- pyviz
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=1_gnu
- abseil-cpp=20210324.2=h9c3ff4c_0
- alembic=1.7.3=pyhd8ed1ab_0
- alsa-lib=1.2.3=h516909a_0
- anyio=3.3.0=py37h89c1867_0
- argcomplete=1.12.3=pyhd8ed1ab_2
- argon2-cffi=20.1.0=py37h5e8e339_2
- arrow-cpp=5.0.0=py37hdf48254_5_cpu
- async_generator=1.10=py_0
- attrs=21.2.0=pyhd8ed1ab_0
- autopage=0.4.0=pyhd8ed1ab_0
- aws-c-cal=0.5.11=h95a6274_0
- aws-c-common=0.6.2=h7f98852_0
- aws-c-event-stream=0.2.7=h3541f99_13
- aws-c-io=0.10.5=hfb6a706_0
- aws-checksums=0.1.11=ha31a3da_7
- aws-sdk-cpp=1.8.186=hb4091e7_3
- babel=2.9.1=pyh44b312d_0
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
- backports.zoneinfo=0.2.1=py37h5e8e339_4
- bleach=4.1.0=pyhd8ed1ab_0
- bokeh=2.3.3=py37h89c1867_0
- brotlipy=0.7.0=py37h5e8e339_1001
- bzip2=1.0.8=h7f98852_4
- c-ares=1.17.2=h7f98852_0
- ca-certificates=2021.5.30=ha878542_0
- certifi=2021.5.30=py37h89c1867_0
- cffi=1.14.6=py37hc58025e_0
- chardet=4.0.0=py37h89c1867_1
- charset-normalizer=2.0.0=pyhd8ed1ab_0
- click=8.0.1=py37h89c1867_0
- clickhouse-cityhash=1.0.2.3=py37h3340039_2
- clickhouse-driver=0.2.1=py37h5e8e339_0
- cliff=3.9.0=pyhd8ed1ab_0
- cloudpickle=2.0.0=pyhd8ed1ab_0
- cmaes=0.8.2=pyh44b312d_0
- cmd2=2.2.0=py37h89c1867_0
- colorama=0.4.4=pyh9f0ad1d_0
- colorcet=2.0.6=pyhd8ed1ab_0
- colorlog=6.4.1=py37h89c1867_0
- conda=4.10.3=py37h89c1867_1
- conda-package-handling=1.7.3=py37h5e8e339_0
- cramjam=2.3.1=py37h5e8e339_1
- cryptography=3.4.7=py37h5d9358c_0
- cycler=0.10.0=py_2
- cytoolz=0.11.0=py37h5e8e339_3
- dask=2021.9.0=pyhd8ed1ab_0
- dask-core=2021.9.0=pyhd8ed1ab_0
- datashader=0.13.0=pyh6c4a22f_0
- datashape=0.5.4=py_1
- dbus=1.13.6=h48d8840_2
- debugpy=1.4.1=py37hcd2ae1e_0
- decorator=5.1.0=pyhd8ed1ab_0
- defusedxml=0.7.1=pyhd8ed1ab_0
- distributed=2021.9.0=py37h89c1867_0
- entrypoints=0.3=py37hc8dfbb8_1002
- expat=2.4.1=h9c3ff4c_0
- fastparquet=0.7.1=py37hb1e94ed_0
- filelock=3.0.12=pyh9f0ad1d_0
- fontconfig=2.13.1=hba837de_1005
- freetype=2.10.4=h0708190_1
- fsspec=2021.8.1=pyhd8ed1ab_0
- gettext=0.19.8.1=h0b5b191_1005
- gflags=2.2.2=he1b5a44_1004
- gitdb=4.0.7=pyhd8ed1ab_0
- gitpython=3.1.23=pyhd8ed1ab_1
- glib=2.68.4=h9c3ff4c_0
- glib-tools=2.68.4=h9c3ff4c_0
- glog=0.5.0=h48cff8f_0
- greenlet=1.1.1=py37hcd2ae1e_0
- grpc-cpp=1.40.0=h850795e_0
- gst-plugins-base=1.18.5=hf529b03_0
- gstreamer=1.18.5=h76c114f_0
- heapdict=1.0.1=py_0
- holoviews=1.14.5=py_0
- hvplot=0.7.3=py_0
- icu=68.1=h58526e2_0
- idna=3.1=pyhd3deb0d_0
- importlib-metadata=4.8.1=py37h89c1867_0
- importlib_metadata=4.8.1=hd8ed1ab_0
- importlib_resources=5.2.2=pyhd8ed1ab_0
- ipykernel=6.4.1=py37h6531663_0
- ipympl=0.7.0=pyhd8ed1ab_0
- ipython=7.27.0=py37h6531663_0
- ipython_genutils=0.2.0=py_1
- ipywidgets=7.6.5=pyhd8ed1ab_0
- jbig=2.1=h7f98852_2003
- jedi=0.18.0=py37h89c1867_2
- jinja2=3.0.1=pyhd8ed1ab_0
- joblib=1.0.1=pyhd8ed1ab_0
- jpeg=9d=h36c2ea0_0
- json5=0.9.5=pyh9f0ad1d_0
- jsonschema=3.2.0=py37hc8dfbb8_1
- jupyter-server-mathjax=0.2.3=pyhd8ed1ab_0
- jupyter_client=7.0.2=pyhd8ed1ab_0
- jupyter_contrib_core=0.3.3=py_2
- jupyter_contrib_nbextensions=0.5.1=py37hc8dfbb8_1
- jupyter_core=4.7.1=py37h89c1867_0
- jupyter_highlight_selected_word=0.2.0=py37h89c1867_1002
- jupyter_latex_envs=1.4.6=py37h89c1867_1001
- jupyter_nbextensions_configurator=0.4.1=py37h89c1867_2
- jupyter_server=1.11.0=pyhd8ed1ab_0
- jupyterlab=3.1.11=pyhd8ed1ab_0
- jupyterlab-git=0.32.2=pyhd8ed1ab_0
- jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
- jupyterlab_server=2.8.1=pyhd8ed1ab_0
- jupyterlab_widgets=1.0.2=pyhd8ed1ab_0
- kiwisolver=1.3.2=py37h2527ec5_0
- krb5=1.19.2=hcc1bbae_0
- lcms2=2.12=hddcbb42_0
- ld_impl_linux-64=2.36.1=hea4e1c9_2
- lerc=2.2.1=h9c3ff4c_0
- libarchive=3.5.2=hccf745f_0
- libblas=3.9.0=11_linux64_openblas
- libbrotlicommon=1.0.9=h7f98852_5
- libbrotlidec=1.0.9=h7f98852_5
- libbrotlienc=1.0.9=h7f98852_5
- libcblas=3.9.0=11_linux64_openblas
- libclang=11.1.0=default_ha53f305_1
- libcurl=7.78.0=h2574ce0_0
- libdeflate=1.7=h7f98852_5
- libedit=3.1.20191231=he28a2e2_2
- libev=4.33=h516909a_1
- libevent=2.1.10=hcdb4288_3
- libffi=3.3=h58526e2_2
- libgcc-ng=11.1.0=hc902ee8_8
- libgfortran-ng=11.1.0=h69a702a_8
- libgfortran5=11.1.0=h6c583b3_8
- libglib=2.68.4=h3e27bee_0
- libgomp=11.1.0=hc902ee8_8
- libiconv=1.16=h516909a_0
- liblapack=3.9.0=11_linux64_openblas
- libllvm11=11.1.0=hf817b99_2
- libnghttp2=1.43.0=h812cca2_0
- libogg=1.3.4=h7f98852_1
- libopenblas=0.3.17=pthreads_h8fe5266_1
- libopus=1.3.1=h7f98852_1
- libpng=1.6.37=h21135ba_2
- libpq=13.3=hd57d9b9_0
- libprotobuf=3.16.0=h780b84a_0
- libsodium=1.0.18=h36c2ea0_1
- libsolv=0.7.19=h780b84a_5
- libssh2=1.10.0=ha56f1ee_0
- libstdcxx-ng=11.1.0=h56837e0_8
- libta-lib=0.4.0=h516909a_0
- libthrift=0.14.2=he6d91bd_1
- libtiff=4.3.0=hf544144_1
- libutf8proc=2.6.1=h7f98852_0
- libuuid=2.32.1=h7f98852_1000
- libuv=1.42.0=h7f98852_0
- libvorbis=1.3.7=h9c3ff4c_0
- libwebp-base=1.2.1=h7f98852_0
- libxcb=1.13=h7f98852_1003
- libxkbcommon=1.0.3=he3ba5ed_0
- libxml2=2.9.12=h72842e0_0
- libxslt=1.1.33=h15afd5d_2
- llvmlite=0.37.0=py37h9d7f4d0_0
- locket=0.2.0=py_2
- lxml=4.6.3=py37h77fd288_0
- lz4-c=1.9.3=h9c3ff4c_1
- lzo=2.10=h516909a_1000
- mako=1.1.5=pyhd8ed1ab_0
- mamba=0.15.3=py37h7f483ca_0
- markdown=3.3.4=pyhd8ed1ab_0
- markupsafe=2.0.1=py37h5e8e339_0
- matplotlib=3.4.3=py37h89c1867_0
- matplotlib-base=3.4.3=py37h1058ff1_0
- matplotlib-inline=0.1.3=pyhd8ed1ab_0
- mistune=0.8.4=py37h5e8e339_1004
- modin-core=0.10.2=py37h89c1867_3
- modin-ray=0.10.2=py37h89c1867_3
- msgpack-python=1.0.2=py37h2527ec5_1
- multipledispatch=0.6.0=py_0
- mysql-common=8.0.25=ha770c72_2
- mysql-libs=8.0.25=hfa10184_2
- nb_conda_kernels=2.3.1=py37h89c1867_0
- nbclassic=0.3.1=pyhd8ed1ab_1
- nbclient=0.5.4=pyhd8ed1ab_0
- nbconvert=6.1.0=py37h89c1867_0
- nbdime=3.1.0=pyhd8ed1ab_0
- nbformat=5.1.3=pyhd8ed1ab_0
- ncurses=6.2=h58526e2_4
- nest-asyncio=1.5.1=pyhd8ed1ab_0
- notebook=6.4.3=pyha770c72_0
- nspr=4.30=h9c3ff4c_0
- nss=3.69=hb5efdd6_0
- numba=0.54.0=py37h2d894fd_0
- numpy=1.20.3=py37h038b26d_1
- olefile=0.46=pyh9f0ad1d_1
- openjpeg=2.4.0=hb52868f_1
- openssl=1.1.1l=h7f98852_0
- optuna=2.9.1=pyhd8ed1ab_0
- orc=1.6.10=h58a87f1_0
- packaging=21.0=pyhd8ed1ab_0
- pandas=1.3.2=py37he8f5f7f_0
- pandoc=2.14.2=h7f98852_0
- pandocfilters=1.4.2=py_1
- panel=0.12.1=py_0
- param=1.11.1=pyh6c4a22f_0
- parquet-cpp=1.5.1=1
- parso=0.8.2=pyhd8ed1ab_0
- partd=1.2.0=pyhd8ed1ab_0
- patsy=0.5.2=pyhd8ed1ab_0
- pbr=5.6.0=pyhd8ed1ab_0
- pcre=8.45=h9c3ff4c_0
- pexpect=4.8.0=py37hc8dfbb8_1
- pickle5=0.0.11=py37h5e8e339_0
- pickleshare=0.7.5=py37hc8dfbb8_1002
- pillow=8.3.2=py37h0f21c89_0
- pip=21.2.4=pyhd8ed1ab_0
- prettytable=2.2.0=pyhd8ed1ab_0
- prometheus_client=0.11.0=pyhd8ed1ab_0
- prompt-toolkit=3.0.20=pyha770c72_0
- psutil=5.8.0=py37h5e8e339_1
- pthread-stubs=0.4=h36c2ea0_1001
- ptyprocess=0.7.0=pyhd3deb0d_0
- pyarrow=5.0.0=py37h58331f5_5_cpu
- pycosat=0.6.3=py37h5e8e339_1006
- pycparser=2.20=pyh9f0ad1d_2
- pyct=0.4.6=py_0
- pyct-core=0.4.6=py_0
- pygments=2.10.0=pyhd8ed1ab_0
- pykalman=0.9.5=py_1
- pyopenssl=20.0.1=pyhd8ed1ab_0
- pyparsing=2.4.7=pyh9f0ad1d_0
- pyperclip=1.8.2=pyhd8ed1ab_2
- pyqt=5.12.3=py37h89c1867_7
- pyqt-impl=5.12.3=py37he336c9b_7
- pyqt5-sip=4.19.18=py37hcd2ae1e_7
- pyqtchart=5.12=py37he336c9b_7
- pyqtwebengine=5.12.1=py37he336c9b_7
- pyrsistent=0.17.3=py37h5e8e339_2
- pysocks=1.7.1=py37h89c1867_3
- python=3.7.10=hffdb5ce_100_cpython
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python_abi=3.7=2_cp37m
- pytz=2021.1=pyhd8ed1ab_0
- pyviz_comms=2.1.0=py_0
- pyyaml=5.4.1=py37h5e8e339_1
- pyzmq=22.2.1=py37h336d617_0
- qt=5.12.9=hda022c4_4
- ray-core=1.6.0=py37hf931bba_0
- re2=2021.09.01=h9c3ff4c_0
- readline=8.1=h46c0cb4_0
- redis-py=3.5.3=pyh9f0ad1d_0
- reproc=14.2.3=h7f98852_0
- reproc-cpp=14.2.3=h9c3ff4c_0
- requests=2.26.0=pyhd8ed1ab_0
- requests-unixsocket=0.2.0=py_0
- ruamel_yaml=0.15.80=py37h5e8e339_1004
- s2n=1.0.10=h9b69904_0
- scikit-learn=0.24.2=py37hf0f1638_1
- send2trash=1.8.0=pyhd8ed1ab_0
- setproctitle=1.1.10=py37h5e8e339_1004
- setuptools=58.0.4=py37h89c1867_0
- six=1.16.0=pyh6c4a22f_0
- smmap=3.0.5=pyh44b312d_0
- snappy=1.1.8=he1b5a44_3
- sniffio=1.2.0=py37h89c1867_1
- sortedcontainers=2.4.0=pyhd8ed1ab_0
- sqlalchemy=1.4.25=py37h5e8e339_0
- sqlite=3.36.0=h9cd32fc_1
- statsmodels=0.12.2=py37hb1e94ed_0
- stevedore=3.4.0=py37h89c1867_0
- ta-lib=0.4.19=py37ha21ca33_2
- tabulate=0.8.9=pyhd8ed1ab_0
- tblib=1.7.0=pyhd8ed1ab_0
- tensorboardx=2.4=pyhd8ed1ab_0
- terminado=0.12.1=py37h89c1867_0
- testpath=0.5.0=pyhd8ed1ab_0
- threadpoolctl=2.2.0=pyh8a188c0_0
- thrift=0.13.0=py37hcd2ae1e_2
- tk=8.6.11=h27826a3_1
- toolz=0.11.1=py_0
- tornado=6.1=py37h5e8e339_1
- tqdm=4.62.2=pyhd8ed1ab_0
- traitlets=5.1.0=pyhd8ed1ab_0
- typing_extensions=3.10.0.0=pyha770c72_0
- tzdata=2021a=he74cb21_1
- tzlocal=3.0=py37h89c1867_2
- urllib3=1.26.6=pyhd8ed1ab_0
- wcwidth=0.2.5=pyh9f0ad1d_2
- webencodings=0.5.1=py_1
- websocket-client=0.57.0=py37h89c1867_4
- wheel=0.37.0=pyhd8ed1ab_1
- widgetsnbextension=3.5.1=py37h89c1867_4
- xarray=0.19.0=pyhd8ed1ab_1
- xeus=2.0.0=h7d0c39e_0
- xeus-python=0.13.0=py37h4b46df4_1
- xeus-python-shell=0.1.5=pyhd8ed1ab_0
- xorg-libxau=1.0.9=h7f98852_0
- xorg-libxdmcp=1.1.3=h7f98852_0
- xz=5.2.5=h516909a_1
- yaml=0.2.5=h516909a_0
- zeromq=4.3.4=h9c3ff4c_1
- zict=2.0.0=py_0
- zipp=3.5.0=pyhd8ed1ab_0
- zlib=1.2.11=h516909a_1010
- zstandard=0.15.2=py37h5e8e339_0
- zstd=1.5.0=ha95c52a_0
- pip:
- absl-py==0.13.0
- aiohttp==3.7.4.post0
- aiohttp-cors==0.7.0
- aioredis==1.3.1
- async-timeout==3.0.1
- autograd==1.3
- bayesian-optimization==1.2.0
- blessings==1.7
- cachetools==4.2.2
- cma==2.7.0
- colorful==0.5.4
- cython==0.29.24
- future==0.18.2
- google-api-core==1.31.2
- google-auth==1.35.0
- google-auth-oauthlib==0.4.6
- googleapis-common-protos==1.53.0
- gpustat==0.6.0
- gpy==1.10.0
- gpytorch==1.5.1
- grpcio==1.40.0
- hebo==0.1.0
- hiredis==2.0.0
- multidict==5.1.0
- nevergrad==0.4.3.post8
- nvidia-ml-py3==7.352.0
- oauthlib==3.1.1
- opencensus==0.7.13
- opencensus-context==0.1.2
- paramz==0.9.5
- protobuf==3.17.3
- py-spy==0.3.9
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pymoo==0.4.2.2
- requests-oauthlib==1.3.0
- rsa==4.7.2
- scipy==1.5.4
- sklearn==0.0
- tensorboard==2.6.0
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.8.0
- torch==1.9.1
- werkzeug==2.0.1
- yarl==1.6.3Installation
conda
Conda channel
No response