pyspark.pandas.Series.plot.barh

plot.barh(x=None, y=None, **kwargs)

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

xlabel or position, default DataFrame.index

Column to be used for categories.

ylabel or position, default All numeric columns in dataframe

Columns to be plotted from the DataFrame.

**kwds

Keyword arguments to pass on to pyspark.pandas.DataFrame.plot() or pyspark.pandas.Series.plot().

Returns

plotly.graph_objs.Figure

Return an custom object when backend!=plotly. Return an ndarray when subplots=True (matplotlib-only).

See also

plotly.express.bar

Plot a vertical bar plot using plotly.

matplotlib.axes.Axes.bar

Plot a vertical bar plot using matplotlib.

Examples

For Series:

>>> df = ps.DataFrame({'lab': ['A', 'B', 'C'], 'val': [10, 30, 20]})
>>> df.val.plot.barh()  

For DataFrame:

>>> df = ps.DataFrame({'lab': ['A', 'B', 'C'], 'val': [10, 30, 20]})
>>> df.plot.barh(x='lab', y='val')  

Plot a whole DataFrame to a horizontal bar plot

>>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]
>>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]
>>> index = ['snail', 'pig', 'elephant',
...          'rabbit', 'giraffe', 'coyote', 'horse']
>>> df = ps.DataFrame({'speed': speed,
...                    'lifespan': lifespan}, index=index)
>>> df.plot.barh()  

Plot a column of the DataFrame to a horizontal bar plot

>>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]
>>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]
>>> index = ['snail', 'pig', 'elephant',
...          'rabbit', 'giraffe', 'coyote', 'horse']
>>> df = ps.DataFrame({'speed': speed,
...                    'lifespan': lifespan}, index=index)
>>> df.plot.barh(y='speed')  

Plot DataFrame versus the desired column

>>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]
>>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]
>>> index = ['snail', 'pig', 'elephant',
...          'rabbit', 'giraffe', 'coyote', 'horse']
>>> df = ps.DataFrame({'speed': speed,
...                    'lifespan': lifespan}, index=index)
>>> df.plot.barh(x='lifespan')  

pyspark.pandas.Series.plot.bar pyspark.pandas.Series.plot.box