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20 sty 2017 · From some research, it seems possible to simply provide two handles' to thefig.legend(handles, labels)` method, (see this post as an example). However, as shown by the following example code, this simply overlays the lines on top of each other.
The location can also be a 2-tuple giving the coordinates of the lower-left corner of the legend in axes coordinates (in which case bbox_to_anchor will be ignored). Thus, one could use: plt.legend (loc= (x, y)) to set the legend's lower left corner to the specified (x, y) position.
The location of the legend. The strings 'upperleft', 'upperright', 'lowerleft', 'lowerright' place the legend at the corresponding corner of the axes. The strings 'uppercenter', 'lowercenter', 'centerleft', 'centerright' place the legend at the center of the corresponding edge of the axes.
Legend location# The location of the legend can be specified by the keyword argument loc. Please see the documentation at legend() for more details. The bbox_to_anchor keyword gives a great degree of control for manual legend placement. For example, if you want your Axes legend located at the figure's top right-hand corner instead of the Axes ...
Matplotlib legend location is a crucial aspect of data visualization that can significantly enhance the readability and interpretability of your plots. In this comprehensive guide, we’ll explore various techniques and best practices for optimizing the placement of legends in Matplotlib.
The simplest way to control matplotlib legend position is by using the loc parameter in the legend () function. This parameter accepts various string values or numerical codes to specify the legend’s location. Here’s a basic example:
This post explains how to customize the legend on a chart with matplotlib. It provides many examples covering the most common use cases like controling the legend location, adding a legend title or customizing the legend markers and labels.
