May 15, 2024 · You can first create your set of legends, and then add them to the axes you want with the method "add_artist". Also, I am starting with matplotlib, and for me at least it is easier to understand scripts when objets are explicited. NB: Be careful, your legends may be cutoff while displaying/saving.

To place the legend outside of the axes bounding box, one may specify a tuple (x0, y0) of axes coordinates of the lower left corner of the legend. A more versatile approach is to manually specify the bounding box into which the legend should be placed, using the bbox_to_anchor argument.

Aug 28, 2014 · import matplotlib.pyplot as plt %matplotlib inline fig, ax = plt.subplots() ax.plot([1, 2, 3], label="test1") ax.plot([3, 2, 1], label="test2") ax.legend() target figure. You can separate the figure and the legend in two different ax objects:

Jul 17, 2024 · In this article, we are going to add a legend to the depicted images using matplotlib module. We will use the matplotlib.pyplot.legend() method to describe and label the elements of the graph and distinguishing different plots from the …

Aug 1, 2024 · There are several options for placing your matplotlib legend outside the plot. Let’s explore some common positions: Placing the matplotlib legend outside on the right side of the plot is a popular choice: Output: This example demonstrates how to place the matplotlib legend outside for a stacked bar chart.

Apr 10, 2021 · To get the legend as a separate picture, we can take the following steps − Create x and y points using numpy. Using the figure() method, create a new figure, or activate an existing figure for Line plot and Legend plot figures.

Oct 18, 2023 · To position the legend outside the plot in Matplotlib, you can use the bbox_to_anchor parameter of the legend function. This parameter allows you to specify the coordinates of the legend relative to the figure, rather than the axes.

Dec 23, 2020 · In this article, we are going to add a legend to the depicted images using matplotlib module. We will use the matplotlib.pyplot.legend() method to describe and label the elements of the graph and distinguishing different plots from the same graph.

Aug 22, 2024 · One straightforward method for placing two different legends on the same graph with Matplotlib is to use multiple legend () calls. This approach allows you to create separate legends for different groups of plot elements. Here’s an example demonstrating this technique: Output: In this example, we create four different lines on the same plot.

Oct 4, 2024 · To create a basic Matplotlib legend in subplot, you first need to create a figure with subplots and plot your data. Then, you can add a legend to each subplot using the legend () method. Here’s a simple example: Output: In this example, we create two subplots side by side, plot sine and cosine waves, and add a legend to each subplot.