pyspark.sql.plot.core.PySparkPlotAccessor.bar

PySparkPlotAccessor.bar(x, y, **kwargs)

Vertical bar plot.

A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. A bar plot shows comparisons among discrete categories. One axis of the plot shows the specific categories being compared, and the other axis represents a measured value.

Parameters

xstr

Name of column to use for the horizontal axis.

ystr or list of str

Name(s) of the column(s) to use for the vertical axis. Multiple columns can be plotted.

**kwargsoptional

Additional keyword arguments.

Returns

plotly.graph_objs.Figure

Examples

>>> data = [("A", 10, 1.5), ("B", 30, 2.5), ("C", 20, 3.5)]
>>> columns = ["category", "int_val", "float_val"]
>>> df = spark.createDataFrame(data, columns)
>>> df.plot.bar(x="category", y="int_val")  
>>> df.plot.bar(x="category", y=["int_val", "float_val"])