Plt.legend position

To change the plt.legend 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:.

Turn your dataframe into an interactive web app with one click! Managing the positioning of legends in data visualizations can often prove to be a challenging task. Today, we're going to tackle this problem head-on, demonstrating how to effectively place a legend outside of a plot using the popular data visualization library, Matplotlib. Let's dive in and ensure your legends never interfere with your data again! The legend of a plot, while being a vital element for data interpretation, can sometimes take up valuable plot space, leading to crammed, less-readable plots.

Plt.legend position

The elements to be added to the legend are automatically determined, when you do not pass in any extra arguments. In this case, the labels are taken from the artist. A string starting with an underscore is the default label for all artists, so calling Axes. For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively:. This call signature is discouraged, because the relation between plot elements and labels is only implicit by their order and can easily be mixed up. To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. For example:. A list of Artists lines, patches to be added to the legend. Use this together with labels , if you need full control on what is shown in the legend and the automatic mechanism described above is not sufficient. The length of handles and labels should be the same in this case. If they are not, they are truncated to the smaller length.

The Sankey class The Sankey class.

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.

This legend guide is an extension of the documentation available at legend - please ensure you are familiar with contents of that documentation before proceeding with this guide. Calling legend with no arguments automatically fetches the legend handles and their associated labels. This functionality is equivalent to:. Proxy artists for further details. For full control of what is being added to the legend, it is common to pass the appropriate handles directly to legend :. In some cases, it is not possible to set the label of the handle, so it is possible to pass through the list of labels to legend :. Not all handles can be turned into legend entries automatically, so it is often necessary to create an artist which can. Suppose we wanted to create a legend which has an entry for some data which is represented by a red color:.

Plt.legend position

If you find this content useful, please consider supporting the work by buying the book! Plot legends give meaning to a visualization, assigning meaning to the various plot elements. We previously saw how to create a simple legend; here we'll take a look at customizing the placement and aesthetics of the legend in Matplotlib. The simplest legend can be created with the plt. But there are many ways we might want to customize such a legend. For example, we can specify the location and turn off the frame:. We can use a rounded box fancybox or add a shadow, change the transparency alpha value of the frame, or change the padding around the text:. As we have already seen, the legend includes all labeled elements by default. If this is not what is desired, we can fine-tune which elements and labels appear in the legend by using the objects returned by plot commands.

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ArtistAnimation matplotlib. How Change the vertical spacing between legend entries in Matplotlib? To put the legend in the best location in the bottom right quadrant of the axes or figure :. By utilizing these techniques, we can customize our legends to be both informative and aesthetically pleasing. Hire With Us. BoundaryNorm matplotlib. Intuition and Analogies Think of your plot as a garden and the legend as a signpost. Best Data Visualization Projects for Beginners. Section Navigation matplotlib matplotlib. In scenarios where you want to shift the legend further outside the plot, you might consider shrinking the current plot's dimensions.

The elements to be added to the legend are automatically determined, when you do not pass in any extra arguments. In this case, the labels are taken from the artist.

Create Improvement. The legend's background patch edge color. For example, you can use the following syntax to place the legend in the top right corner outside of the plot:. Save Article. Let's dive deeper into how you can utilize this powerful feature to improve your plot aesthetics. Either a valid color string for example, 'red' , or a list of color strings. Here is an example where we place the legend to the right of the plot:. In this case, the labels are taken from the artist. Barbs matplotlib. By using constrained layout and specifying "outside" at the beginning of the loc keyword argument, the legend is drawn outside the Axes on the sub figure. Matplotlib is a popular data visualization library in Python. StepPatch matplotlib. One key feature of Matplotlib is the ability to add a legend to your plot.