Search results
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: ax.plot( [1,2,3])ax.plot( [5,6,7])ax.legend( ['First line','Second line']) Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to the legend.
- Legend guide — Matplotlib 3.9.2 documentation
This legend guide extends the legend docstring - please read...
- Legend guide — Matplotlib 3.9.2 documentation
1 sie 2024 · The legend() function in Matplotlib adds a legend to the plot. The legend helps to identify different data series by using labels specified in the label parameter of the plot functions. import matplotlib.pyplot as plt # Plot data with labels plt.plot([1, 2, 3], [4, 5, 6], label='Line 1') plt.plot([1, 2, 3], [6, 5, 4], label='Line 2') # Add a ...
How can one create a legend for a line graph in Matplotlib's PyPlot without creating any extra variables? Please consider the graphing script below:
This legend guide extends the legend docstring - please read it before proceeding with this guide. This guide makes use of some common terms, which are documented here for clarity: legend entry #. A legend is made up of one or more legend entries. An entry is made up of exactly one key and one label.
Understanding how to position legends, whether inside or outside a chart, can enhance data interpretation. This article offers a comprehensive guide on leveraging the legend() function in matplotlib for enhancing your data visualizations.
14 paź 2022 · The pyplot.legend() function returns a legend on the axes of a plot or subplot. Syntax. plot_instance.legend(handles, labels) The .legend() method accepts zero or more parameters and can be called on a valid plot_instance of the pyplot module. When called with no parameters, .legend() will attempt to add the elements automatically.
23 mar 2019 · To modify legend labels: 1) get current labels via get_legend_handles_labels() after plotting. 2) sort the handles (images) and labels the way you want. 3) call plt.legend() passing the modified handles and labels.
