That doesn't appear to be the entire traceback; it doesn't end in any Matplotlib code but just skips to a line.

You also didn't answer any of the information in the template.

Okay, thanks for your quick answer.
But when I try to end it in a Matplotlib code ( see below), it also does not work?
Is it something with the version?

input:
import numpy as np
import pandas as pd
import matplotlib
from matplotlib import pyplot as plt
from matplotlib import colors
from matplotlib import patches
from matplotlib.tight_layout import get_renderer

Output:
/tmp/ipykernel_53417/1540464412.py:7: MatplotlibDeprecationWarning: The matplotlib.tight_layout module was deprecated in Matplotlib 3.6 and will be removed two minor releases later.
from matplotlib.tight_layout import get_renderer

ImportError Traceback (most recent call last)
Cell In [1], line 7
5 from matplotlib import colors
6 from matplotlib import patches
----> 7 from matplotlib.tight_layout import get_renderer

ImportError: cannot import name 'get_renderer' from 'matplotlib.tight_layout' (/home/bbb5130/miniconda3/envs/snOMICS/lib/python3.9/site-packages/matplotlib/tight_layout.py)

Looks like this is indeed a public function that disappeared between v3.5 and v3.6. Contents of tight_layout.py was moved to _tight_layout.py at #22134 and the get_renderer function was removed at #22745.

https://matplotlib.org/3.5.3/api/tight_layout_api.html?highlight=get_renderer#matplotlib.tight_layout.get_renderer

Just came to the same conclusion as @rcomer. This should have been kept and should probably be restored for the rest of the deprecation period.

For now, the easiest way for you @marel11 is probably to just copy the function:

def get_renderer(fig):
    if fig._cachedRenderer:
        return fig._cachedRenderer
    else:
        canvas = fig.canvas
        if canvas and hasattr(canvas, "get_renderer"):
            return canvas.get_renderer()
        else:
            from . import backend_bases
            return backend_bases._get_renderer(fig)

Thanks for you help.
It worked :)

For clarification, of the reopening: We leave issues open until the related fix is merged.