* Bump pandas 1.4 and pyarrow 6
* Use engine="pyarrow" for pd.read_csv()
* Refactoring
* Refactoring
* Refactoring
* Use bytes in pd.read_json()
* Fix test_contribution
* Fix pandas issue when 'arrays' are empty but 'names' contain values
* fix: ValueError: For argument "ascending" expected type bool, received type NoneType.
* Remove engine="pyarrow" and convert bytes to string
* make copy of selected df to fix regression
* Simplify pd.read_json() and pd.read_csv() for example data
Co-authored-by: Ville Brofeldt <ville.brofeldt@apple.com>
* fix casting from timestamp[us] to timestamp[ns] would result in out of bounds timestamp from sqllab and charts
* Add unittests
* Lint changes and parameter variable rename
* Fix linting
* Re-enable lint on 5 files
* revert something questionable
* Address PR feedback
* One more PR comment...
* black?
* Update code wrapping
* Disable bugged check
* Add a disable for a failure that's only showing up in CI.
* Fix bad refactor
* A little more lint fixing, bug fixing
* Use PyArrow Table for query result serialization
* Cleanup dev comments
* Additional cleanup
* WIP: tests
* Remove explicit dtype logic from db_engine_specs
* Remove obsolete column property
* SupersetTable column types
* Port SupersetDataFrame methods to SupersetTable
* Add test for nullable boolean columns
* Support datetime values with timezone offsets
* Black formatting
* Pylint
* More linting/formatting
* Resolve issue with timezones not appearing in results
* Types
* Enable running of tests in tests/db_engine_specs
* Resolve application context errors
* Refactor and add tests for pyodbc.Row conversion
* Appease isort, regardless of isort:skip
* Re-enable RESULTS_BACKEND_USE_MSGPACK default based on benchmarks
* Dataframe typing and nits
* Renames to reduce ambiguity
