Unexpected scale for pandas datetime column

[harrylojames]

datetime64[ns] objects aren't converted to javascript date objects. Presume this is intended as per the section on datetimes. Would be great if it were possible!

import pandas as pd
from pyobsplot import Plot

df = pd.DataFrame({'full_date_time': {0: pd.Timestamp('2022-12-01 00:00:00'),
  1: pd.Timestamp('2022-12-01 01:00:00')},
 'value': {0: 20.0, 1: 18.0}})

Plot.plot({"marks":[Plot.dot(df, {"x":"full_date_time", "y": "value"})]})

[harrylojames]

Excuse my ignorance on what's been written under the hood but Quarto's ojs_define seems to work pretty smoothly for converting panda's objects if there are any tricks not yet borrowed.

[juba]

Yes, you're right, date objects are converted correctly, but timestamps and datetime are not.

I'll take a look, thanks for reporting !

[juba]

I think this should be fixed in the new 0.3.6 release, but let me know if it is working correctly for you.

Thanks !

[harrylojames]

2 for 2 🎉thank you!