[SPARK-50054][PYTHON][CONNECT] Support histogram plots#48578
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xinrong-meng wants to merge 4 commits intoapache:masterfrom
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[SPARK-50054][PYTHON][CONNECT] Support histogram plots#48578xinrong-meng wants to merge 4 commits intoapache:masterfrom
xinrong-meng wants to merge 4 commits intoapache:masterfrom
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xinrong-meng
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The logic for constructing the histogram is mostly copied from Pandas on Spark to maintain parity. We can refactor it for reuse in a follow-up. |
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@zhengruifeng @HyukjinKwon may I get a review please? |
zhengruifeng
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Oct 22, 2024
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merged to master |
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Oct 22, 2024
### What changes were proposed in this pull request? Support histogram 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](https://docs.google.com/document/d/1IjOEzC8zcetG86WDvqkereQPj_NGLNW7Bdu910g30Dg/edit?usp=sharing) in progress. Part of https://issues.apache.org/jira/browse/SPARK-49530. ### Does this PR introduce _any_ user-facing change? Yes. Histogram plots are supported as shown below. ```py >>> data = [(5.1, 3.5, 0), (4.9, 3.0, 0), (7.0, 3.2, 1), (6.4, 3.2, 1), (5.9, 3.0, 2)] >>> columns = ["length", "width", "species"] >>> df = spark.createDataFrame(data, columns) >>> fig1 = df.plot.hist(column=['length','width'], bins=4) >>> fig1.show() # see below >>> fig2 = df.plot(kind="hist",column='length', bins=4) >>> fig2.show() # see below ``` fig1:  fig2:  ### How was this patch tested? Unit tests. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#48578 from xinrong-meng/histogram. Authored-by: Xinrong Meng <xinrong@apache.org> Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
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Thank you @zhengruifeng ! |
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What changes were proposed in this pull request?
Support histogram 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. Histogram plots are supported as shown below.
fig1:
fig2:
How was this patch tested?
Unit tests.
Was this patch authored or co-authored using generative AI tooling?
No.