Version 0.21.0¶
Multi-index columns support¶
We continue improving multi-index columns support. We made the following APIs support multi-index columns:
Documentation¶
Now, we have installation guide, design principles and FAQ in our public documentation (#914, #944, #963, #964)
Other new features and improvements¶
We added the following new features:
koalas
merge
(#969)
koalas.DataFrame:
koalas.Series:
koalas.Index:
koalas.MultiIndex:
koalas.Expanding
count
(#978)
Along with the following improvements:
Fix passing options as keyword arguments (#968)
Make is_monotonic~ work properly for index (#930)
Fix Series.__getitem__ to work properly (#934)
Fix reindex when all the given columns are included the existing columns (#975)
Add datetime as the equivalent python type to TimestampType (#957)
Fix is_unique to respect the current Spark column (#981)
Fix bug when assign None to name as Index (#974)