feat: Add quantile statistic#613
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gcf-merge-on-green[bot] merged 11 commits intomainfrom Apr 16, 2024
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chelsea-lin
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Apr 15, 2024
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| def test_dataframe_aggregates_quantile_multi(scalars_df_index, scalars_pandas_df_index): | ||
| q = [0, 0.33, 0.67, 1.0] | ||
| col_names = ["int64_too", "int64_col", "float64_col"] |
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maybe support the numeric_only parameter also?
bigframes/dataframe.py
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| block = frame._block.aggregate_all_and_stack(agg_ops.median_op) | ||
| return bigframes.series.Series(block.select_column("values")) | ||
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| def quantile(self, q): |
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Should we try to define the parameter type here? q: float | Sequence[float]=?
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the doc also need to be updated.
bigframes/series.py
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| else: | ||
| return typing.cast(float, self._apply_aggregation(agg_ops.median_op)) | ||
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| def quantile(self, q: float) -> Union[Series, float]: |
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float or Sequence[float]? The tests show it works for Sequence[float] as well?
| ) | ||
| quantile_cols = [] | ||
| labels = [] | ||
| for col in columns: |
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Throws an exception for dataframe if column_name is larger than 30?
chelsea-lin
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Apr 15, 2024
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Apr 22, 2024
🤖 I have created a release *beep* *boop* --- ## [1.3.0](https://togithub.com/googleapis/python-bigquery-dataframes/compare/v1.2.0...v1.3.0) (2024-04-22) ### Features * Add `Series.struct.dtypes` property ([#599](https://togithub.com/googleapis/python-bigquery-dataframes/issues/599)) ([d924ec2](https://togithub.com/googleapis/python-bigquery-dataframes/commit/d924ec2937c158644b5d1bbae4f82476de2c1655)) * Add fine tuning `fit()` for Palm2TextGenerator ([#616](https://togithub.com/googleapis/python-bigquery-dataframes/issues/616)) ([9c106bd](https://togithub.com/googleapis/python-bigquery-dataframes/commit/9c106bd24482620ef5ff3c85f94be9da76c49716)) * Add quantile statistic ([#613](https://togithub.com/googleapis/python-bigquery-dataframes/issues/613)) ([bc82804](https://togithub.com/googleapis/python-bigquery-dataframes/commit/bc82804da43c03c2311cd56f47a2316d3aae93d2)) * Expose `max_batching_rows` in `remote_function` ([#622](https://togithub.com/googleapis/python-bigquery-dataframes/issues/622)) ([240a1ac](https://togithub.com/googleapis/python-bigquery-dataframes/commit/240a1ac6fa914550bb6216cd5d179a36009f2657)) * Support primary key(s) in `read_gbq` by using as the `index_col` by default ([#625](https://togithub.com/googleapis/python-bigquery-dataframes/issues/625)) ([75bb240](https://togithub.com/googleapis/python-bigquery-dataframes/commit/75bb2409532e80de742030d05ffcbacacf5ffba2)) * Warn if location is set to unknown location ([#609](https://togithub.com/googleapis/python-bigquery-dataframes/issues/609)) ([3706b4f](https://togithub.com/googleapis/python-bigquery-dataframes/commit/3706b4f9dde65788b5e6343a6428fb1866499461)) ### Bug Fixes * Address technical writers fb ([#611](https://togithub.com/googleapis/python-bigquery-dataframes/issues/611)) ([9f8f181](https://togithub.com/googleapis/python-bigquery-dataframes/commit/9f8f181279133abdb7da3aa045df6fa278587013)) * Infer narrowest numeric type when combining numeric columns ([#602](https://togithub.com/googleapis/python-bigquery-dataframes/issues/602)) ([8f9ece6](https://togithub.com/googleapis/python-bigquery-dataframes/commit/8f9ece6d13f57f02d677bf0e3fea97dea94ae240)) * Use exact median implementation by default ([#619](https://togithub.com/googleapis/python-bigquery-dataframes/issues/619)) ([9d205ae](https://togithub.com/googleapis/python-bigquery-dataframes/commit/9d205aecb77f35baeec82a8f6e1b72c2d852ca46)) ### Documentation * Fix rendering of examples for multiple apis ([#620](https://togithub.com/googleapis/python-bigquery-dataframes/issues/620)) ([9665e39](https://togithub.com/googleapis/python-bigquery-dataframes/commit/9665e39ef288841f03a9d823bd2210ef58394ad3)) * Set `index_cols` in `read_gbq` as a best practice ([#624](https://togithub.com/googleapis/python-bigquery-dataframes/issues/624)) ([70015b7](https://togithub.com/googleapis/python-bigquery-dataframes/commit/70015b79e8cff16ff1b36c5e3f019fe099750a9d)) --- This PR was generated with [Release Please](https://togithub.com/googleapis/release-please). See [documentation](https://togithub.com/googleapis/release-please#release-please).
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