Plt.legend position

Go to the end to download the full example code.

To change the position of a legend in Matplotlib, you can use the plt. For example, you can use the following syntax to place the legend in the upper left corner of the plot:. However, you can specify any of the following legend locations:. For example, you can use the following syntax to place the legend in the top right corner outside of the plot:. The following examples show how to use each of these methods in practice.

Plt.legend position

In this article, we will learn how to Change the legend position in Matplotlib. Without setting location of legend best. Skip to content. Change Language. Open In App. Solve Coding Problems. How to Add Title to Subplots in Matplotlib? How to set the spacing between subplots in Matplotlib in Python? Working with Legends Matplotlib. How Change the vertical spacing between legend entries in Matplotlib? How to manually add a legend with a color box on a Matplotlib figure? How to Remove the Legend in Matplotlib? Remove the legend border in Matplotlib. Scatter Plot matplotlib. How to create a Scatter Plot with several colors in Matplotlib?

By default, Matplotlib places the legend in the upper right-hand corner of the plot.

Matplotlib is the package used for data visualization and is one of the most popular packages in python. Each pyplot function takes is used to make some changes to a figure e. A legend is used to describe elements for a particular area of a graph. Python has a function called legend which is used to place a legend on the axis. The legend function has an attribute called loc which is used to denote the location of the legend. The default value of attribute loc is upper left. Other string, such as upper right , lower left , lower right can also be used.

In data visualization, often create complex graphs that need to have legends for the reader to be able to interpret the graph. But what if those legends get in the way of the actual data that they need to see? In this Byte, we'll see how you can move the legend so that it's outside of the plot in Matplotlib. In Matplotlib, legends provide a mapping of labels to the elements of the plot. These can be very important to help the reader understand the visualization they're looking at. Without the legend, you might not know which line represented which data! Here's a basic example of how legends work in Matplotlib:.

Plt.legend position

In this article, we will learn how to Change the legend position in Matplotlib. Without setting location of legend best. Skip to content. Change Language. Open In App.

James harden vertical

In this case, the first number in the tuple moves the legend along the x-axis, and the second number moves it along the y-axis. MovieWriter matplotlib. In the following, we'll address some frequently asked questions regarding legend placement in Matplotlib. Matplotlib Pyplot Legend. What is Tableau? Go to the end to download the full example code. Similarly, you should position your legend such that it helps readers without covering important parts of your plot. Quick start guide. Engineering Exam Experiences. So, be sure to practice these techniques and explore the Matplotlib documentation to become adept at this essential tool for data visualization. If "inherit" , use take rcParams["axes. The legend function has an attribute called loc which is used to denote the location of the legend. In this tutorial, we have learned how to move the Matplotlib legend to different positions within a plot.

The elements to be added to the legend are automatically determined, when you do not pass in any extra arguments.

This functionality is equivalent to:. See how we teach , or click on one of the following programs to find out more. AxLine matplotlib. Last Updated : 26 May, This legend guide extends the legend docstring - please read it before proceeding with this guide. In conclusion, these are some of the options available in Matplotlib that allow you to move and customize the legend in your plots. Fortunately, Matplotlib provides several ways to move the legend around in a plot. In such cases, you can move the Matplotlib legend to a more suitable location within the plot. Engineering Exam Experiences. Managing the positioning of legends in data visualizations can often prove to be a challenging task. Contourf and log color scale. The alignment of the legend title and the box of entries. Creating visualizations with pyplot is quite easy import matplotlib.