Pandas DataFrame: plot.bar() function
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:
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