Xinrong Meng created SPARK-50753:
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Summary: Make PySpark plot accessor a class property
Key: SPARK-50753
URL: https://issues.apache.org/jira/browse/SPARK-50753
Project: Spark
Issue Type: Sub-task
Components: PySpark
Affects Versions: 4.0.0
Reporter: Xinrong Meng
Previously, the plot property in PySpark DataFrame was simply a placeholder:
```py
>>> from pyspark.sql import DataFrame
>>> DataFrame.plot
<property object at 0x10543fd60>
>>> dir(DataFrame.plot)
['__class__', ... 'getter', 'setter']
```
This caused an issue where Sphinx, the documentation generator, could not
recognize the chaining methods (e.g., bar, barh, etc.) provided by the plot
accessor. As a result, it failed to populate the documentation for the
available plot methods.
We aim to bring PySpark’s plot accessor to parity with the Pandas API on Spark
```py
>>> import pyspark.pandas as ps
>>> ps.DataFrame.plot
<class 'pyspark.pandas.plot.core.PandasOnSparkPlotAccessor'>
```
The plot property in PySpark DataFrame should look like this
```py
>>> from pyspark.sql import DataFrame
>>> DataFrame.plot
<pyspark.sql.plot.core.PySparkPlotAccessor object at 0x10500b070>
>>> dir(DataFrame.plot)
['__call__', ..., '_backends', '_get_plot_backend', 'area', 'bar', 'barh',
'box', 'data', 'hist', 'kde', 'line', 'pie', 'plot_data_map', 'scatter']
```
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