3.10 update break seaborn

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style="whitegrid")
cancer_data_path = "cancer.csv"
df = pd.read_csv(cancer_data_path)
sns.lineplot(data=df['Id'])
plt.show()

Traceback (most recent call last):
  File "C:\Users\BoyceCecil\Desktop\cancer_data\main.py", line 12, in <module>
    plt.show()
  File "C:\Users\BoyceCecil\Desktop\cancer_data\venv\lib\site-packages\matplotlib\pyplot.py", line 614, in show
    return _get_backend_mod().show(*args, **kwargs)
  File "C:\Program Files\JetBrains\PyCharm 2023.1.3\plugins\python\helpers\pycharm_matplotlib_backend\backend_interagg.py", line 29, in __call__
    manager.show(**kwargs)
  File "C:\Program Files\JetBrains\PyCharm 2023.1.3\plugins\python\helpers\pycharm_matplotlib_backend\backend_interagg.py", line 112, in show
    self.canvas.show()
  File "C:\Program Files\JetBrains\PyCharm 2023.1.3\plugins\python\helpers\pycharm_matplotlib_backend\backend_interagg.py", line 73, in show
    buffer = self.tostring_rgb()
AttributeError: 'FigureCanvasInterAgg' object has no attribute 'tostring_rgb'. Did you mean: 'tostring_argb'?

When I downgrade the matplotlib to 3.7.0 the issue is resolved.

Start by running the Python example from the issue with pandas, matplotlib, seaborn, and the shown plt.show() call. Compare the matplotlib version that fails with 3.7.0, where the issue reports success, and inspect the PyCharm backend traceback. Done means the example displays without the reported tostring_rgb AttributeError, or the affected compatibility is clearly documented.