Bug summary
Creating a figure via plt.figure() with matplotlib version 3.6.0 results in a MatplotlibDeprecationWarning. I see this on macOS (both M1 and Intel) and have not managed to reproduce this in a few other container environments I tried.
Code for reproduction
import matplotlib.pyplot as plt
plt.figure()
Actual outcome
/private/tmp/mpl/test.py:3: MatplotlibDeprecationWarning: The resize_event function was deprecated in Matplotlib 3.6 and will be removed two minor releases later. Use callbacks.process('resize_event', ResizeEvent(...)) instead.
plt.figure()
Expected outcome
no warning raised
Additional information
I have not managed to reproduce this in any containers, so perhaps this is specific to the macosx backend. No warnings appear in earlier versions. I can reproduce the behavior also in new conda environments and virtual environments, here is a full example:
/tmp/mpl ❯ ls
/tmp/mpl ❯ pipx run virtualenv venv
created virtual environment CPython3.10.4.final.0-64 in 159ms
creator CPython3Posix(dest=/private/tmp/mpl/venv, clear=False, no_vcs_ignore=False, global=False)
seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/Users/alheld/Library/Application Support/virtualenv)
added seed packages: pip==22.2.2, setuptools==65.3.0, wheel==0.37.1
activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator
/tmp/mpl ❯ source venv/bin/activate
/tmp/mpl ❯ python --version
Python 3.10.4
/tmp/mpl ❯ which python
/private/tmp/mpl/venv/bin/python
/tmp/mpl ❯ pip install matplotlib
Collecting matplotlib
Using cached matplotlib-3.6.0-cp310-cp310-macosx_11_0_arm64.whl (7.2 MB)
Collecting pillow>=6.2.0
Using cached Pillow-9.2.0-cp310-cp310-macosx_11_0_arm64.whl (2.8 MB)
Collecting numpy>=1.19
Using cached numpy-1.23.3-cp310-cp310-macosx_11_0_arm64.whl (13.3 MB)
Collecting packaging>=20.0
Using cached packaging-21.3-py3-none-any.whl (40 kB)
Collecting python-dateutil>=2.7
Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting cycler>=0.10
Using cached cycler-0.11.0-py3-none-any.whl (6.4 kB)
Collecting fonttools>=4.22.0
Using cached fonttools-4.37.2-py3-none-any.whl (959 kB)
Collecting contourpy>=1.0.1
Using cached contourpy-1.0.5-cp310-cp310-macosx_11_0_arm64.whl (226 kB)
Collecting pyparsing>=2.2.1
Using cached pyparsing-3.0.9-py3-none-any.whl (98 kB)
Collecting kiwisolver>=1.0.1
Using cached kiwisolver-1.4.4-cp310-cp310-macosx_11_0_arm64.whl (63 kB)
Collecting six>=1.5
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Installing collected packages: six, pyparsing, pillow, numpy, kiwisolver, fonttools, cycler, python-dateutil, packaging, contourpy, matplotlib
Successfully installed contourpy-1.0.5 cycler-0.11.0 fonttools-4.37.2 kiwisolver-1.4.4 matplotlib-3.6.0 numpy-1.23.3 packaging-21.3 pillow-9.2.0 pyparsing-3.0.9 python-dateutil-2.8.2 six-1.16.0
/tmp/mpl ❯ python -c "import matplotlib.pyplot as plt; import matplotlib as mpl; print(mpl.__version__); plt.figure()"
3.6.0
<string>:1: MatplotlibDeprecationWarning: The resize_event function was deprecated in Matplotlib 3.6 and will be removed two minor releases later. Use callbacks.process('resize_event', ResizeEvent(...)) instead.Operating system
macOS 12.5.1
Matplotlib Version
3.6.0
Matplotlib Backend
MacOSX
Python version
Python 3.10.4
Jupyter version
n/a
Installation
pip
Bug summary
Creating a figure via
plt.figure()withmatplotlibversion 3.6.0 results in aMatplotlibDeprecationWarning. I see this on macOS (both M1 and Intel) and have not managed to reproduce this in a few other container environments I tried.Code for reproduction
Actual outcome
Expected outcome
no warning raised
Additional information
I have not managed to reproduce this in any containers, so perhaps this is specific to the macosx backend. No warnings appear in earlier versions. I can reproduce the behavior also in new conda environments and virtual environments, here is a full example:
Operating system
macOS 12.5.1
Matplotlib Version
3.6.0
Matplotlib Backend
MacOSX
Python version
Python 3.10.4
Jupyter version
n/a
Installation
pip