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Add a label= to each of your plot() calls, and then call legend(loc='upper left'). Consider this sample (tested with Python 3.8.0):
1 sie 2024 · Matplotlib.pyplot.legend () function is a utility given in the Matplotlib library for Python that gives a way to label and differentiate between multiple plots in the same figure. The attribute Loc in legend() is used to specify the location of the legend. The default value of loc is loc= “best” (upper left).
7 gru 2023 · Let’s explore the several methods that can be used to change the plot legends. Create a simple plot with two curves, these curves, adds labels, displays a legend, and finally shows the legends with Matplotlib. Output: Matplotlib in Python to create a plot with two curves representing the sine and cosine functions.
Add a legend to the upper plot by specifying ax1 as the first input argument to legend.
Place a legend on the Axes. 1. Automatic detection of elements to be shown in the legend. 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.
Since the data does not have any labels, creating a legend requires us to define the icons and labels. In this case, we can compose a legend using Matplotlib objects that aren't explicitly tied to the data that was plotted.
11 sty 2024 · To add a legend to your Matplotlib plot, you can use the plt.legend() function. Let's start with a simple example: In this code, we have two sets of data representing sales of two different products. We plot both sets of data with lines on the same graph.
