DataTable inducing erratic rounding off for decimal values

[VivekDehariya]

System Information

• OS: Windows 10
• Python version: 3.10.5
• Python environment: pip
• Using jupyter: false
• Datapane version: 0.14.0

Bug / Issue

Using a DataTable object inside a report rounds off the values completely wrongly. This is not the case when using a Table object or adding an Attachment with the same dataframe object, the values are correct while using any of these.

For instance: 691355.0 becomes 691400, 769358.78 becomes 769400. This is completely unusable.

#159

[shahinrostami]

Hello @VivekDehariya!

Thank you for raising this! I've been able to reproduce the issue with the following example:

import pandas as pd
import datapane as dp

data = [691355.0, 769358.78]
df = pd.DataFrame(data)

report = dp.Report(
    dp.DataTable(df)
).save(path='report.html', open=True)

We're looking into this now and will have a fix out soon!

In the meantime, I can confirm that this is a rendering issue and the underlying data remains accurate. 👍

[shahinrostami]

Hello again @VivekDehariya - we've gotten to the bottom of it and pushed a fix. It should be available soon!

[VivekDehariya]

Thanks a lot for the quick addressal, @shahinrostami. Please let me know if there's any version upgrade command that would be required to be run for the fix to be available.

[shahinrostami]

Hi @VivekDehariya! We've just reviewed the update - we'll let you know and close the issue when it's live!

[Buroni]

Issue was auto-closed, re-opening until the fix is released

[shahinrostami]

Hey @VivekDehariya ! Thanks again for raising this. I'm happy to say the fix has made it into the recent release, and I've confirmed that it works as intended:

Please let us know if there's anything else!