Labels

• Name/Position Ambiguity

  e.g. level=1 could specify a level name or position
• Needs Discussion

  Requires discussion from core team before further action
• Needs Info

  Clarification about behavior needed to assess issue
• Needs Tests

  Unit test(s) needed to prevent regressions
• Needs Triage

  Issue that has not been reviewed by a pandas team member
• Nested Data

  Data where the values are collections (lists, sets, dicts, objects, etc.).
• Non-Nano

  datetime64/timedelta64 with non-nanosecond resolution
• Non-Unique Columns/Rows
• Nuisance Columns

  Identifying/Dropping nuisance columns in reductions, groupby.add, DataFrame.apply
• Nullable by default

  Issues that would be addressed by moving to nullable-by-default
• numba

  numba-accelerated operations
• Numeric Operations

  Arithmetic, Comparison, and Logical operations
• Numeric stability

  Stability and precision
• OS X

  Related to Mac OS & hardware issues (M1)
• Output-Formatting

  __repr__ of pandas objects, to_string
• PDEP

  pandas enhancement proposal
• PDEP missing values

  Issues that would be addressed by the Ice Cream Agreement from the Aug 2023 sprint
• PDEP6-related

  related to PDEP6 (not upcasting during setitem-like Series operations)
• Performance

  Memory or execution speed performance
• Period

  Period data type
• pyarrow dtype retention

  op with pyarrow dtype -> expect pyarrow result
• PyPy
• Python 3.10
• Python 3.11
• Python 3.12
• Python 3.13
• Python 3.14
• quantile

  quantile method
• Reduction Operations

  sum, mean, min, max, etc.
• Refactor

  Internal refactoring of code