0.6.3

Bug Fixes

• Integer null sentinel handling: I16, I32, and I64 scalars now correctly recognize null sentinels (0Nh, 0Ni, 0Nj) and return None from to_python(). This fixes null comparisons in operations where unmatched rows returned raw sentinel values (e.g., -9223372036854775808) instead of None.

2026-04-15 | 🔗 PyPI | 🔗 GitHub

0.6.2

Bug Fixes

• Now library passes correct contiguous numpy arrays within from_numpy function
• F64 vectors can now be used in median calculations

2026-03-15 | 🔗 PyPI | 🔗 GitHub

0.6.1

New Features

• Fancy indexing for Tables: Table.__getitem__ now supports multiple indexing modes beyond column access:

  • Expression filter: table[Column("age") > 35] — filter rows by condition. Supports & (and) and | (or) for combining expressions.
  • Integer row access: table[0], table[-1] — access a single row by index, returns a Dict.
  • Slicing: table[1:3], table[:5], table[-2:] — row slicing backed by the C-level TAKE operation.
  • Index list: table[[0, 2, 5]] — select specific rows by position.

• Vector.from_numpy() auto-widening: Unsupported numpy dtypes are now automatically widened to the nearest supported type: float32/float16 → F64, int8 → I16, uint16 → I32, uint32 → I64.

• Vector.from_numpy() bytes and UUID support: Byte string arrays (dtype='S') are automatically decoded to Symbol vectors. Object arrays of uuid.UUID values are detected and converted to GUID vectors.

• NaT preservation: NaT (Not-a-Time) values in numpy datetime64 and timedelta64 arrays now survive round-trips through Vector.from_numpy() and Vector.to_numpy().

Bug Fixes

• Table.to_numpy() with Timestamp columns: Fixed DTypePromotionError when calling to_numpy() on tables containing a mix of incompatible column types (e.g., integers, strings, and timestamps). Mixed-type tables now gracefully fall back to object dtype.

• Filtering F64 by distinct - fixed

• Vector.__getitem__ for U8 vectors: Fixed U8 vector elements being returned as B8(True/False) instead of U8(value). Both types are 1-byte, causing the C-level at_idx to misinterpret the type.

• Vector.from_numpy() with explicit ray_type for temporal arrays: Fixed ValueError: cannot include dtype 'M' in a buffer when passing ray_type=Timestamp, ray_type=Date, or ray_type=Time with datetime64/timedelta64 arrays.

2026-03-03 | 🔗 PyPI | 🔗 GitHub

0.6.0

New Features

• Vector.from_numpy() classmethod: Create vectors from NumPy arrays via bulk memory copy. Supports numeric types (int16, int32, int64, float64, uint8, bool), string arrays, and temporal types (datetime64 → Timestamp/Date, timedelta64 → Time). Handles epoch adjustment between NumPy (1970-01-01) and Rayforce (2000-01-01) automatically.

• Vector.to_numpy() method: Export vector data to a NumPy array via bulk memory copy.

• Vector.to_list() method: Export vector data to a Python list via bulk memory copy from the underlying C buffer.

• Table.from_dict() classmethod: Create tables from a dictionary of NumPy arrays, Python lists, or Vectors.

• Table.to_dict() method: Export table data to a Python dictionary of lists via bulk memory copy.

• Table.to_numpy() method: Export table data to a 2D NumPy array via bulk memory copy.

• select("*", col=value) fix: Using "*" with computed columns in select() now correctly preserves all existing columns

Dependencies

• NumPy (>=2.0.0) is now a required dependency.

2026-02-21 | 🔗 PyPI | 🔗 GitHub

0.5.11

New Features

• Timestamp.shift_tz() method: Shift a Timestamp value by a timezone offset. Accepts any datetime.tzinfo (including datetime.timezone and zoneinfo.ZoneInfo).

• Column.shift_tz() for queries: Shift an entire column of timestamps by a timezone offset within select() expressions.

2026-02-19 | 🔗 PyPI | 🔗 GitHub

0.5.10

Bug Fixes

• Various bugfixes to the database operations

2026-02-11 | 🔗 PyPI | 🔗 GitHub

0.5.9

Bug Fixes

• Fix boolean operator is_ performed over lists and vectors within table aggregations

2026-02-11 | 🔗 PyPI | 🔗 GitHub

0.5.8

Bug Fixes

• Fix type conversion error during upsert operation

2026-02-10 | 🔗 PyPI | 🔗 GitHub

0.5.7

Bug Fixes

• Fix boolean operator is_ performed over lists within table aggregations

2026-02-10 | 🔗 PyPI | 🔗 GitHub

0.5.6

Bug Fixes

• Fix sorting for symbol vectors larger than 32 elements

2026-01-29 | 🔗 PyPI | 🔗 GitHub