Comments (3)
Are we going to support a numeric time index as well? If so we need to add some additional checks just beyond the datetime check.
from woodwork.
Yes, maybe not initially, but eventually we will.
from woodwork.
Thinking about this a little more, I think maybe we should follow the approach used by Featuretools, where we check if the specified column contains datetime-like values. For example a column with properly formatted strings can be specified as time index. If the column contains values that can be converted to datetime, we can perform the underlying conversion on the dataframe, if necessary, rather than requiring the user to do this manually beforehand.
from woodwork.
Related Issues (20)
- Fix PyPI badge not showing
- release Woodwork 0.26.0
- Github Actions to kick off EvalML and Featuretools unit tests are not working
- Serialization is broken with pyarrow==13.0.0
- Temporarily restrict pyarrow due to serialization problems
- remove old performance test workflow (non airflow)
- Remove infer_datetime_format from datetime checking
- Deprecation warnings: is_categorical_dtype
- release Woodwork v0.28.0
- Remove numpy 2.0.0 upper bound
- Bump min version of python-dateutil for compatibility with pandas 2.0
- Release v0.29.0
- Fix serialization tests to work with new pytest
- Remove Dask Restriction
- Add Python 3.12 support
- Remove support for using Woodwork with Dask and Pyspark Dataframes
- Investigate and Resolve Warnings
- Add filter arg to tarfile.extractall call to safely deserialize dataframes
- Codecov reports are not being posted to pull requests
- Release v0.31.0
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from woodwork.