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The problem happens when clustering charts by subplots using the Brunel renderer.
Here is the correct output (using matplotlib)
Changing the renderer to Brunel produces this instead
Run the following code
import pixiedust from sklearn import datasets import pandas as pd import numpy as np diabetes = datasets.load_diabetes() data = pd.DataFrame(data= np.c_[diabetes['data'], diabetes['target']], columns= diabetes['feature_names'] + ['target']) display(data)
Choose bar chart Set keys = bmi Set values = bp Choose brunel Set Cluster by to sex Set Type to subplots
The text was updated successfully, but these errors were encountered:
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The problem happens when clustering charts by subplots using the Brunel renderer.
Expected behavior
Here is the correct output (using matplotlib)
Actual behavior
Changing the renderer to Brunel produces this instead
Steps to reproduce the behavior
Run the following code
Choose bar chart
Set keys = bmi
Set values = bp
Choose brunel
Set Cluster by to sex
Set Type to subplots
The text was updated successfully, but these errors were encountered: