Tags: dolthub/doltpy
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Parquet export IR (#183) * Parquet export IR Exporting data through a CSV intermediary is subject to loss of specificity and type info. This is particularly noticable for read_pandas, where the resulting dataframe has every column of type `object` and NULLs are indistinguishable from zero values. I used a small hack to export data from Dolt into a DataFrame using parquet instead of CSV. This requires the pyarrow dependency. I left TODOs for improvements on the Dolt side that would make this code cleaner and Dolt issues for the associated features. There is one bug with NULL datetime values that I added a Dolt issue for. * fix fmt * revert python changes, use early pyarrow
Bump py from 1.9.0 to 1.10.0 (#160) * Bump py from 1.9.0 to 1.10.0 Bumps [py](https://github.com/pytest-dev/py) from 1.9.0 to 1.10.0. - [Release notes](https://github.com/pytest-dev/py/releases) - [Changelog](https://github.com/pytest-dev/py/blob/master/CHANGELOG.rst) - [Commits](pytest-dev/py@1.9.0...1.10.0) --- updated-dependencies: - dependency-name: py dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> * remove py Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Max Hoffman <max@dolthub.com>
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