Plot legend python

Go to the end to download plot legend python 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. An entry is made up of exactly one key and one label.

A legend is an area describing the elements of the graph. In this article, we will learn about the Matplotlib Legends. Syntax : matplotlib. The attribute Loc in legend is used to specify the location of the legend. Its default value is 1. Below are some examples that can see the Matplotlib interactive mode setup using Matplotlib.

Plot legend python

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. The plt. Passing any of these to plt. I generally find in practice that it is clearer to use the first method, applying labels to the plot elements you'd like to show on the legend:.

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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.

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.

Plot legend python

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.

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FuncNorm matplotlib. ArrowStyle matplotlib. AxLine matplotlib. 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. HandlerLine2D which accepts a numpoints argument numpoints is also a keyword on the legend function for convenience. Plotting masked and NaN values. Arc matplotlib. FileMovieWriter matplotlib. Polar legend. Engineering Exam Experiences. Plotting legend outside graph area import numpy as np import matplotlib. This functionality is equivalent to:. Barbs matplotlib.

This post explains how to customize the legend on a chart with matplotlib.

Engineering Exam Experiences. PathPatch matplotlib. To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. ListedColormap matplotlib. Infinite lines. PillowWriter matplotlib. Defaults to axes. If "inherit" , use take rcParams["axes. String values are relative to the current default font size. Python Crash Course. Help us improve. If they are not, they are truncated to the smaller length.