Environment data
- VS Code version: 1.108.2
- Data Wrangler Extension version (available under the Extensions sidebar): 1.24.0
- Jupyter Extension version (available under the Extensions sidebar): v2025.9.1
- Python Extension version (available under the Extensions sidebar): v2026.0.0
- OS (Windows | Mac | Linux distro) and version: WSL Ubuntu-24.04
- Pandas version: 3.0.0
- Python and/or Anaconda version: Python 3.12.3
- Type of virtual environment used (N/A | venv | virtualenv | conda | ...): venv
Expected behaviour
This snapshot of the renderer output was taken when using pandas 2.3.3.

Actual behaviour
This snapshot of the renderer output was taken with a new workspace that had pandas 3.0.0 installed.
The issue was resolved by uninstalling pandas 3.0.0 and installing pandas 2.3.3.
Steps to reproduce:
-
Created a new workspace with pandas 3.0.0. Created the t.ipynb notebook with code that creates a simple dataframe and displays it. Executed the cell. The text/html renderer was used instead of the expected data wrangler renderer.
-
Removed pandas 3.0.0, and installed 2.3.3. Reran the cell. This time the data wrangler renderer was used.
-
Included snapshots of behavior above.
Here's the sample code from t.ipynb:
# Ran the DataFrame display to trigger Data Wrangler renderer
import pandas as pd
df = pd.DataFrame({
'A': [1, 2, 3],
'B': [4, 5, 6]
})
display(df)
Environment data
Expected behaviour
This snapshot of the renderer output was taken when using pandas 2.3.3.

Actual behaviour
This snapshot of the renderer output was taken with a new workspace that had pandas 3.0.0 installed.
The issue was resolved by uninstalling pandas 3.0.0 and installing pandas 2.3.3.
Steps to reproduce:
Created a new workspace with pandas 3.0.0. Created the t.ipynb notebook with code that creates a simple dataframe and displays it. Executed the cell. The text/html renderer was used instead of the expected data wrangler renderer.
Removed pandas 3.0.0, and installed 2.3.3. Reran the cell. This time the data wrangler renderer was used.
Included snapshots of behavior above.
Here's the sample code from t.ipynb: