Releases: alteryx/woodwork
v0.16.4
v0.16.4 Jun 23, 2022
- Fixes
- Changes
- Restrict pyspark below 3.3.0 #1450
- Documentation Changes
- Testing Changes
Thanks to the following people for contributing to this release: @bchen1116, @gsheni, @jeff-hernandez, @ParthivNaresh
v0.16.3
v0.16.3 May 4, 2022
- Fixes
- Fixed
col_is_datetime
inference function to not infer numeric dtypes as datetime #1413
- Fixed
- Changes
- Delete setup.py, MANIFEST.in and move configuration to pyproject.toml #1409
- Documentation Changes
- Testing Changes
Thanks to the following people for contributing to this release:
@bchen1116, @gsheni, @ParthivNaresh
v0.16.2
v0.16.2 Apr 25, 2022
- Fixes
- Fixed import issues regarding
pyarrow
and madepython-dateutil>=2.8.1
a required dependency #1397
- Fixed import issues regarding
Thanks to the following people for contributing to this release:
@ParthivNaresh
v0.16.1
v0.16.1 Apr 25, 2022
- Fixes
- Reverting
string[pyarrow]
until fix can be found for pandas issue #1391
- Reverting
Thanks to the following people for contributing to this release:
@ParthivNaresh
v0.16.0
v0.16.0 Apr 21, 2022
- Enhancements
- Added the ability to provide a callback function to
TableAccessor.describe()
to get intermediate results #1387 - Add
pearson_correlation
anddependence
methods to TableAccessor #1265 - Uses
string[pyarrow]
instead ofstring
dtype to save memory #1360 - Added a better error message when dataframe and schema have different columns #1366
- Stores timezones in Datetime logical type #1376
- Added type inference for phone numbers #1357
- Added type inference for zip code #1378
- Added the ability to provide a callback function to
- Fixes
- Cap pandas at 1.4.1 #1374
- Changes
- Change underlying logic of
TableAccessor.mutual_information
#1265 - Added
from_disk
as a convenience function to deserialize a WW table #1363 - Allow attr version in setup.cfg #1361
- Raise error if files already exist during serialization #1356
- Improve exception handling in
col_is_datetime
#1365 - Store typing info in parquet file header during serialization #1377
- Change underlying logic of
- Documentation Changes
- Testing Changes
- Separate testing matrix to speed up GitHub Actions Linux tests for latest dependencies #1380
Thanks to the following people for contributing to this release:
@bchen1116, @gsheni, @jeff-hernandez, @ParthivNaresh, @rwedge, @thehomebrewnerd
v0.15.0
v0.15.0 Mar 24, 2022
- Enhancements
- Fixes
- Updated
__str__
output forOrdinal
logical types #1340
- Updated
- Changes
- Documentation Changes
- Update release.md with correct version updating info #1358
- Testing Changes
- Updated scheduled workflows to only run on Alteryx owned repos #1351
Thanks to the following people for contributing to this release:
@bchen1116, @dvreed77, @jeff-hernandez, @ParthivNaresh, @thehomebrewnerd
v0.14.0
v0.14.0 Mar 15, 2022
- Fixes
- Preserve custom semantic tags when changing column logical type (#1300)
- Changes
- Documentation Changes
- Testing Changes
Thanks to the following people for contributing to this release:
@gsheni, @jeff-hernandez, @rwedge, @tamargrey, @thehomebrewnerd, @mingdavidqi
v0.13.0
v0.13.0 Feb 16, 2022
Woodwork may not support Python 3.7 in next non-bugfix release.
- Enhancements
- Fixes
- Check range length in table stats without producing overflow error (#1287)
- Changes
- Documentation Changes
Thanks to the following people for contributing to this release:
@dvreed77, @gsheni, @jeff-hernandez, @rwedge, @tamargrey, @thehomebrewnerd
v0.11.2
v0.11.2 Jan 28, 2022
- Fixes
- Set high and low bounds to the max and min values if no outliers are present in
box_plot_dict
(#1269)
- Set high and low bounds to the max and min values if no outliers are present in
Note
- The pandas version for Koalas has been restricted, and a change was made to a pandas
replace
call to account for
the recent pandas 1.4.0 release.
Thanks to the following people for contributing to this release:
@tamargrey
v0.12.0
v0.12.0 January 27, 2022
- Enhancements
- Add Slack link to GitHub issue creation templates (#1242)
- Fixes
- Changes
- Testing Changes
Thanks to the following people for contributing to this release:
@dvreed77, @gsheni, @jeff-hernandez, @rwedge, @tamargrey, @thehomebrewnerd