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plot

Returns a PySparkPlotAccessor for plotting functions.

You can create plots in two ways:

  • Chaining style: df.plot.line(...)
  • Explicit style: df.plot(kind="line", ...)

Returns​

plot.core.PySparkPlotAccessor

Examples​

Python
data = [("A", 10, 1.5), ("B", 30, 2.5), ("C", 20, 3.5)]
columns = ["category", "int_val", "float_val"]
df = spark.createDataFrame(data, columns)
type(df.plot)
# <class 'pyspark.sql.plot.core.PySparkPlotAccessor'>
df.plot.line(x="category", y=["int_val", "float_val"])
df.plot(kind="line", x="category", y=["int_val", "float_val"])
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