pyspark.sql.plot.core.PySparkPlotAccessor.barh#

PySparkPlotAccessor.barh(x, y, **kwargs)[source]#

Make a horizontal bar plot.

A horizontal bar plot is a plot that presents quantitative 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 or list of str: Name(s) of the column(s) to use for the horizontal axis. Multiple columns can be plotted.
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

Notes

In Plotly and Matplotlib, the interpretation of x and y for barh plots differs. In Plotly, x refers to the values and y refers to the categories. In Matplotlib, x refers to the categories and y refers to the values. Ensure correct axis labeling based on the backend used.

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.barh(x="int_val", y="category")  
>>> df.plot.barh(
...     x=["int_val", "float_val"], y="category"
... )  