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This is somewhat niche, but TableReport treats TimeDelta64DType as discrete categories, while it's a continuous quantity as DateTime64DType.
import pandas as pd from skrub import TableReport TableReport( pd.to_timedelta([20, 40], unit="D").to_frame() )
A histogram distribution
A value counts distribution
dev
The text was updated successfully, but these errors were encountered:
I guess we need to special case timedeltas, inspect the range of values to decide on a time resolution and cast to float to plot a histogram
Sorry, something went wrong.
Right, I thought pyplot would do this out of the box but I looks more involved indeed
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Describe the bug
This is somewhat niche, but TableReport treats TimeDelta64DType as discrete categories, while it's a continuous quantity as DateTime64DType.
Steps/Code to Reproduce
Expected Results
A histogram distribution
Actual Results
A value counts distribution
Versions
The text was updated successfully, but these errors were encountered: