pandas plot display a plot only for the first cell executed (jupyterlab4)

[matrs]

Description

When using pandas with the default backend (matplotlib), the plot is displayed only for the first cell that plots something. Later calls to the same cell or any other cell with the pandas plot functionality doesn't display the plot, only the name of the object, e.g <AxesSubplot:> . This behavior can be fixed when calling once, in any cell, %matplotlib inline. I never found this behavior in jupyterlab 2.x or 3.x and i haven't called %matplotlib inline in years.

Reproduce

Execute this code in a clean notebook

num_rows = 1000
df = pd.DataFrame({"random_float": np.random.rand(num_rows)})
df.boxplot()

Executing the cell again doesn't display the plot. New cells with the same or any other code using the plot functionality doesn't display the plots.

Im in arch linux with:

• jupyterlab 4.0.6
• matplotlib 3.5.3, 3.8.0
• pandas 1.5.3
• python 3.10.9
• firefox 117.0.1

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[krassowski]

It works for me with matplotlib 3.6.2 and pandas 2.0.3. You are using an older version of matplotilb (and pandas). Could you try upgrading matplotilb to the latest version?

[matrs]

I updated my matplotlib version to the latest (3.8). With pandas is different, I haven't updated it because I have code that fails with > 2 and haven't had time to check it (also, until now, every new release fixes plenty of regressions).

I still have the same problem, I'm attaching a gif:

[krassowski]

Thank you! After running the cells for the second time, is there any error in the web JS console? Could you paste these if any?

[matrs]

@krassowski , there is no errors in the console (I have all the types of output checked). There is no output difference between the first and following cell executions.

[krassowski]

Does it also happen with visualisations which are not matplotlib-based, or is it specific to matplotlib?