1.3.1 (2024-11-12)
- Dbjson serialization with most compact JSON representation (#299) (c5e9a10)
- Support correct numpy construction for dbjson dtype in pandas 1.5 (#297) (f413f35)
- Support dbjson type on pandas version 1.5 (#295) (4b84e4a)
1.3.0 (2024-08-08)
1.2.0 (2023-12-10)
1.1.1 (2023-03-30)
1.1.0 (2023-03-29)
1.0.5 (2022-12-05)
- remove upper bound on pyarrow version (388e082)
1.0.4 (2022-09-19)
- Avoid out-of-range nanoseconds field in pandas 1.5.x (#148) (2a477ca)
- deps: Remove python version upper bound (#145) (a361806)
1.0.3 (2022-08-05)
1.0.2 (2022-06-03)
1.0.1 (2022-05-07)
1.0.0 (2022-03-25)
0.4.0 (2022-03-24)
- dbdate and dbtime dtypes return NaT instead of None for missing values
- dbdate and dbtime support numpy.datetime64 values in array constructor (1db1357)
- address failing 2D array compliance tests in DateArray (#64) (b771e05)
- address failing tests with pandas 1.5.0 (#82) (38ac28d)
- allow comparison with scalar values (#88) (7495698)
- avoid TypeError when using sorted search (#84) (42bc2d9)
- correct TypeError and comparison issues discovered in DateArray compliance tests (#79) (1e979cf)
- dbdate and dbtime support set item with null values (#85) (1db1357)
- use
pandas.NaT
for missing values in dbdate and dbtime dtypes (#67) (f903c2c) - use public pandas APIs where possible (#60) (e9d41d1)
- add dbtime compliance tests (#90) (f14fb2b)
- add final dbdate compliance tests and sort (#89) (efe7e6d)
0.3.1 (2021-12-04)
0.3.0 (2021-11-08)
- support conversion from pyarrow RecordBatch to pandas DataFrame (#39) (facc7b0)
- support Python 3.10 (#40) (a31d55d)
0.2.0 (2021-10-14)
0.1.1 (2021-10-04)
- add
time
anddate
dtypes (f104171)