read_html, to_html, Styler.apply, Styler.applymap
read_json, to_json, json_normalize
Local or Cloud (AWS, GCS, etc.) IO Issues
to_sql, read_sql, read_sql_query
Internationalization of data
High level tracker for similar issues
np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
Temporarily-closed PR the author plans to return to
Issues caused by the presence of multiple Blocks
Related to pd.NA and nullable extension arrays
Requires discussion from core team before further action
Clarification about behavior needed to assess issue
Unit test(s) needed to prevent regressions
Issue that has not been reviewed by a pandas team member
Data where the values are collections (lists, sets, dicts, objects, etc.).
datetime64/timedelta64 with non-nanosecond resolution
Identifying/Dropping nuisance columns in reductions, groupby.add, DataFrame.apply