[SPARK-49694][PYTHON][CONNECT] Support scatter plots#48219
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xinrong-meng wants to merge 3 commits intoapache:masterfrom
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[SPARK-49694][PYTHON][CONNECT] Support scatter plots#48219xinrong-meng wants to merge 3 commits intoapache:masterfrom
xinrong-meng wants to merge 3 commits intoapache:masterfrom
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| self._check_fig_data("bar", fig["data"][0], ["A", "B", "C"], [10, 30, 20], "int_val") | ||
| self._check_fig_data("bar", fig["data"][1], ["A", "B", "C"], [1.5, 2.5, 3.5], "float_val") | ||
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| def test_barh_plot(self): |
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why removing this test?
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My bad.. removed by mistake while rebasing
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Merged to master, thank you! |
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What changes were proposed in this pull request?
Support scatter plots with plotly backend on both Spark Connect and Spark classic.
Why are the changes needed?
While Pandas on Spark supports plotting, PySpark currently lacks this feature. The proposed API will enable users to generate visualizations. This will provide users with an intuitive, interactive way to explore and understand large datasets directly from PySpark DataFrames, streamlining the data analysis workflow in distributed environments.
See more at PySpark Plotting API Specification in progress.
Part of https://issues.apache.org/jira/browse/SPARK-49530.
Does this PR introduce any user-facing change?
Yes. Scatter plots are supported as shown below.
How was this patch tested?
Unit tests.
Was this patch authored or co-authored using generative AI tooling?
No.