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Do not convert pyarrow scalar values to plain python types when passing as lit Assign the issue via a `take` comment #546: Issue comment #1319 (comment) created by timsaucer
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Full join on dataframe with only index yields dropped rows Assign the issue via a `take` comment #545: Issue comment #1305 (comment) created by renato2099
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Display of Lag With with_column uses autogenerated name and provided name Assign the issue via a `take` comment #544: Issue comment #1234 (comment) created by ntjohnson1
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Display of Lag With with_column uses autogenerated name and provided name Assign the issue via a `take` comment #543: Issue comment #1234 (comment) created by renato2099
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Inconsistencies between RecordBatch and DataFrame schemas cause to_arrow_table to fail Assign the issue via a `take` comment #542: Issue comment #1314 (comment) created by nuno-faria
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Full join on dataframe with only index yields dropped rows Assign the issue via a `take` comment #541: Issue comment #1305 (comment) created by IshaGudewar
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Inconsistencies between RecordBatch and DataFrame schemas cause to_arrow_table to fail Assign the issue via a `take` comment #540: Issue comment #1314 (comment) created by IshaGudewar
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #539: Issue comment #1311 (comment) created by timsaucer
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build(deps): bump arrow-select from 56.2.0 to 57.0.0 Assign the issue via a `take` comment #538: Issue comment #1304 (comment) created by dependabot bot
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #537: Issue comment #1311 (comment) created by nuno-faria
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #536: Issue comment #1311 (comment) created by kosiew
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #535: Issue comment #1311 (comment) created by nuno-faria
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #534: Issue comment #1311 (comment) created by timsaucer
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #533: Issue comment #1311 (comment) created by timsaucer
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #532: Issue comment #1311 (comment) created by timsaucer
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #531: Issue comment #1311 (comment) created by nuno-faria
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DataFrame.__str__ truncates metadata keys that contain a : character Assign the issue via a `take` comment #530: Issue comment #1312 (comment) created by timsaucer
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DataFrame.__str__ truncates metadata keys that contain a : character Assign the issue via a `take` comment #529: Issue comment #1312 (comment) created by timsaucer
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #528: Issue comment #1311 (comment) created by timsaucer
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #527: Issue comment #1311 (comment) created by nuno-faria
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #526: Issue comment #1311 (comment) created by timsaucer
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #525: Issue comment #1311 (comment) created by kosiew
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #524: Issue comment #1311 (comment) created by timsaucer
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #523: Issue comment #1311 (comment) created by nuno-faria
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Upgrade to Datafusion 51 Assign the issue via a `take` comment #522: Issue comment #1311 (comment) created by nuno-faria
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