Legend placement matplotlib

Go to the end to download the full example code. This legend legend placement matplotlib extends the legend docstring - please read it before proceeding with this guide. A legend is made up of one or more legend entries. An entry is made up of exactly one key and one label.

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. The following code shows how to place the legend inside the center right portion of a Matplotlib line plot:. And the following code shows how to place the legend inside the upper left portion of a Matplotlib plot:.

Legend placement matplotlib

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. If an entry contains a tuple, then the legend handler for all Artists in the tuple will be placed alongside a single label. A list of labels to show next to the artists. Use this together with handles , if you need full control on what is shown in the legend and the automatic mechanism described above is not sufficient.

By using these options appropriately, you can legend placement matplotlib your plots more informative and visually appealing. If shadow is activated and framealpha is Nonethe default value is ignored. The font properties of the legend's title.

It is unlikely that you would ever create a Legend instance manually. Most users would normally create a legend via the legend function. For more details on legends there is also a legend guide. The Legend class is a container of legend handles and legend texts. The legend handler map specifies how to create legend handles from artists lines, patches, etc.

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:.

Legend placement matplotlib

Confused about pyplot and matplotlib? See Matplotlib, Pyplot, Pylab etc: What's the difference between these and when to use each? All code is available online on this jupyter notebook. Note that the argument is a list of legends.

Homes for sale in mt ephraim nj

API Reference matplotlib. By using these options appropriately, you can make your plots more informative and visually appealing. But hurry up, because the offer is ending on 29th Feb! Line2D matplotlib. View More. Go to the end to download the full example code. Best Data Visualization Projects for Beginners. Save Article. Suggest changes. Skip to content Menu. Matplotlib is a powerful Python library used for data visualization. For example, you can use the following syntax to place the legend in the upper left corner of the plot:. Line2D matplotlib. HandlerTuple which simply plots the handles on top of one another for each item in the given tuple.

Go to the end to download the full example code. This legend guide extends the legend docstring - please read it before proceeding with this guide. A legend is made up of one or more legend entries.

ImageMagickBase matplotlib. How to animate 3D Graph using Matplotlib? Quick start guide Quick start guide. The string 'center' places the legend at the center of the axes. This argument allows arbitrary placement of the legend. If a pathlib. With Matplotlib, you can create complex plots with just a few lines of code. Syntax : matplotlib. Thank you for your valuable feedback! Skip to content. A legend is an area describing the elements of the graph. A legend provides important information about the data being visualized, such as labels for each line or marker in the plot. If a str , it is interpreted as a fontconfig pattern parsed by FontProperties.