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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.
- Composing Custom Legends
Since the data does not have any labels, creating a legend...
- Composing Custom Legends
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:
1 sie 2024 · To create a legend in Matplotlib, you can use the legend() function after plotting your data. This function adds a legend to your plot, which helps to identify different data series. import matplotlib.pyplot as plt # Plot data plt.plot([1, 2, 3], [4, 5, 6], label='Line 1') plt.plot([1, 2, 3], [6, 5, 4], label='Line 2') # Create a legend plt ...
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.
Over 24 examples of Legends including changing color, size, log axes, and more in Python.
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.
The simplest legend can be created with the plt.legend() command, which automatically creates a legend for any labeled plot elements: In [1]: import matplotlib.pyplot as plt plt.style.use('classic') In [2]: %matplotlib inline. import numpy as np.
