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[SPARK-52270][PYTHON][DOCS] User guide for native plotting #50992

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[SPARK-52270][PYTHON][DOCS] User guide for native plotting #50992

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markdown
xinrong-meng May 22, 2025
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Update dataframes.ipynb
xinrong-meng May 23, 2025
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19 changes: 19 additions & 0 deletions python/docs/source/user_guide/dataframes.ipynb
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Expand Up @@ -751,6 +751,25 @@
"source": [
"df.write().mode(\"overwrite\").saveAsTable(\"schemaName.tableName\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Native DataFrame Plotting\n",
"\n",
"PySpark supports native plotting, allowing users to visualize data directly from PySpark DataFrames.\n",
"\n",
"The user interacts with PySpark Plotting by calling the `plot` property on a PySpark DataFrame and specifying the desired type of plot, either as a submethod or by setting the `kind` parameter. For instance:\n",
"\n",
"`df.plot.line(x=\"category\", y=\"int_val\")`\n",
"\n",
"or equivalently:\n",
"\n",
"`df.plot(kind=\"line\", x=\"category\", y=\"int_val\")`\n",
"\n",
"The feature is powered by [Plotly](https://plotly.com/python/) as the default visualization backend, offering rich, interactive plotting capabilities, while native [pandas](https://pandas.pydata.org/) is used internally to process data for most plots.\n"
]
}
],
"metadata": {
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