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
This function is a bit more expensive than other dtype checking functions in cudf and has a drastic performance difference when normalizing string-specified types vs dtype objects. At minimum some caching should be implemented to not incur such a performance penalty between the two
The text was updated successfully, but these errors were encountered:
mroeschke
changed the title
[FEA] Use more performant dtype in select_dtypes
[FEA] Use more performant dtype introspection utility in select_dtypesMar 10, 2025
xref #18141 (comment)
select_dtypes
has a internal dtype introspection functioncudf_dtype_from_pydata_dtype
to "normalize"include=
andexclude=
dtypescudf/python/cudf/cudf/core/dataframe.py
Line 6857 in 8e4408c
This function is a bit more expensive than other dtype checking functions in cudf and has a drastic performance difference when normalizing string-specified types vs dtype objects. At minimum some caching should be implemented to not incur such a performance penalty between the two
The text was updated successfully, but these errors were encountered: