You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Various places in pandas convert a series of datetime strings to datetime64/timestamps/etc' objects. read_csv, to_datetime, upcoming
sql improvements and probably elsewhere.
The code paths each takes are seperate so that fast paths aren't consistently available, and it's difficult to apply improvements such as #6021 in one place
and have them apply everywhere. and there's room for internal incosnistencies in parsing behaviour (#5958).
Various places in pandas convert a series of datetime strings to datetime64/timestamps/etc' objects. read_csv, to_datetime, upcoming
sql improvements and probably elsewhere.
The code paths each takes are seperate so that fast paths aren't consistently available, and it's difficult to apply improvements such as #6021 in one place
and have them apply everywhere. and there's room for internal incosnistencies in parsing behaviour (#5958).
https://github.com/pydata/pandas/pull/5950/files#r9007497
#4826
#5993
Do something about it.
cc @jreback , @danbirken
The text was updated successfully, but these errors were encountered: