Pandas DataFrame: plot.bar() function

Last update on August 19 2022 21:50:33 (UTC/GMT +8 hours)

DataFrame.plot.bar() function

The plot.bar() function is used to 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.

Syntax:

DataFrame.plot.bar(self, x=None, y=None, **kwargs)

Parameters:

Name	Description	Type/Default Value	Required / Optional
x	Allows plotting of one column versus another. If not specified, the index of the DataFrame is used.	label or position	Optional
y	Allows plotting of one column versus another. If not specified, all numerical columns are used.	label or position	Optional
**kwds	Additional keyword arguments are documented inDataFrame.plot().		Required

Returns: matplotlib.axes.Axes or np.ndarray of them An ndarray is returned with one matplotlib.axes.Axes per column when subplots=True.

Example:

Download the Pandas DataFrame Notebooks from here.

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