Pandas DataFrame: plot.barh() function
DataFrame.plot.barh() function
The plot.barh() function is used to 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.
Syntax:
DataFrame.plot.barh(self, x=None, y=None, **kwargs)
Parameters:
Name | Description | Type/Default Value | Required / Optional |
---|---|---|---|
x | Column to be used for categories. | label or position Default Value: DataFrame.index |
Required |
y | Columns to be plotted from the DataFrame. | label or position Default Value: All numeric columns in dataframe |
Required |
**kwds | Keyword arguments to pass on to DataFrame.plot(). | Required |
Returns: matplotlib.axes.Axes or numpy.ndarray of them
Example:
Download the Pandas DataFrame Notebooks from here.
Previous: DataFrame.plot.bar() function
Next: DataFrame.plot.box() function
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/pandas/dataframe/dataframe-plot-barh.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics