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You can do this either by using the label= keyword in each of your plt.plot() calls or by assigning your labels as a tuple or list within legend, as in this working example: import numpy as np import matplotlib.pyplot as plt x = np.linspace(-0.75,1,100) y0 = np.exp(2 + 3*x - 7*x**3) y1 = 7-4*np.sin(4*x) plt.plot(x,y0,x,y1) plt.gca().legend(('y0 ...
Labelcolor can be set globally using rcParams["legend.labelcolor"] (default: 'None'). If None, use rcParams["text.color"] (default: 'black'). numpoints int, default: rcParams["legend.numpoints"] (default: 1) The number of marker points in the legend when creating a legend entry for a Line2D (line).
1 Αυγ 2024 · Matplotlib.pyplot.legend () in Python. 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.
patch = mpatches.Patch(color='grey', label='manual patch') line = Line2D([0], [0], label='manual line', color='k') point = Line2D([0], [0], label='manual point', marker='s', markersize=10, markeredgecolor='r', markerfacecolor='k', linestyle='') # add manual symbols to auto legend.
fig, ax = plt. subplots line1, = ax. plot ([1, 2, 3], label = "Line 1", linestyle = '--') line2, = ax. plot ([3, 2, 1], label = "Line 2", linewidth = 4) # Create a legend for the first line. first_legend = ax. legend (handles = [line1], loc = 'upper right') # Add the legend manually to the Axes. ax. add_artist (first_legend) # Create another ...
First we'll show off how to make a legend for specific lines. import matplotlib.pyplot as plt import numpy as np import matplotlib.collections as mcol from matplotlib.legend_handler import HandlerLineCollection , HandlerTuple from matplotlib.lines import Line2D t1 = np . arange ( 0.0 , 2.0 , 0.1 ) t2 = np . arange ( 0.0 , 2.0 , 0.01 ) fig , ax ...
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.
