Closed lordsutch closed 3 years ago
HI @lordsutch ,
thanks for reporting this bug. Obvioulsy, one has to change the check for numbers here because I do not like to implicit convert a datatype here.
Best Patrik
Hallo @lordsutch ,
the bug should be fixed with the newly released version 0.5.4. Could you please try it out and close the issue if the fix is fine.
Best Patrik
@PatrikHlobil - Yes, the issue seems to be fixed now, thanks!
Chris
Pandas has introduced new Float32/Float64 (capitalized) datatypes in Pandas 1.2.0 that are similar to the Int64 datatype introduced a few releases ago that permit the use of the common 'pd.NA' value for missing data. Unfortunately plotting a series or dataframe with a Float32 or Float64 column results in an exception as follows:
Casting the column(s) using the .astype() method works around the issue.