spark-instrumented-optimizer/python/pyspark/pandas/tests/indexes
Xinrong Meng 04a8d2cbcf [SPARK-35343][PYTHON] Make the conversion from/to pandas data-type-based for non-ExtensionDtypes
### What changes were proposed in this pull request?

Make the conversion from/to pandas (for non-ExtensionDtype) data-type-based.
NOTE: Ops class per ExtensionDtype and its data-type-based from/to pandas will be implemented in a separate PR as https://issues.apache.org/jira/browse/SPARK-35614.

### Why are the changes needed?

The conversion from/to pandas includes logic for checking data types and behaving accordingly.
That makes code hard to change or maintain.
Since we have introduced the Ops class per non-ExtensionDtype data type, we ought to make the conversion from/to pandas data-type-based for non-ExtensionDtypes.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Unit tests.

Closes #32592 from xinrong-databricks/datatypeop_pd_conversion.

Authored-by: Xinrong Meng <xinrong.meng@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
2021-06-07 13:12:12 -07:00
..
__init__.py [SPARK-35032][PYTHON] Port Koalas Index unit tests into PySpark 2021-04-16 08:53:30 +09:00
test_base.py [SPARK-35343][PYTHON] Make the conversion from/to pandas data-type-based for non-ExtensionDtypes 2021-06-07 13:12:12 -07:00
test_category.py [SPARK-35364][PYTHON] Renaming the existing Koalas related codes 2021-05-20 15:08:30 -07:00
test_datetime.py [SPARK-35364][PYTHON] Renaming the existing Koalas related codes 2021-05-20 15:08:30 -07:00