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A simple plot for sine and cosine curves with a legend. Used matplotlib.pyplot. import math import matplotlib.pyplot as plt x=[] for i in range(-314,314): x.append(i/100) ysin=[math.sin(i) for i in x] ycos=[math.cos(i) for i in x] plt.plot(x,ysin,label='sin(x)') #specify label for the corresponding curve plt.plot(x,ycos,label='cos(x)') plt ...
import matplotlib.pyplot as plt from matplotlib.lines import Line2D colors = ['black', 'red', 'green'] lines = [Line2D([0], [0], color=c, linewidth=3, linestyle='--') for c in colors] labels = ['black data', 'red data', 'green data'] plt.legend(lines, labels) plt.show() For even more options, take a look at this matplotlib gallery sample.
There are many ways to create and customize legends in Matplotlib. Below we'll show a few examples for how to do so. First we'll show off how to make a legend for specific lines.
Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to the legend.
16 Μαρ 2020 · How to add a legend in Python’s Matplotlib library? Label it with the label keyword argument in your plot method. Before plt.show(), call plt.legend() your plot will be displayed with a legend. Here’s the minimal example: import matplotlib.pyplot as plt. plt.plot( [1, 2, 3], [1, 4, 9], label='squares')
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.
23 Μαρ 2019 · Matplotlib Examples: Displaying and Configuring Legends. Last updated: 23 Oct 2022. Table of Contents. Add legend to plot. Add legend to multiple plots in the same axis. Add legend to axis. Change legend location. Disable legend. Change number of columns in legend.
