matplotlib legend
import numpy as np import matplotlib.pyplot as plt x = np.linspace(0, 20, 1000) y1 = np.sin(x) y2 = np.cos(x) plt.plot(x, y1, "-b", label="sine") plt.plot(x, y2, "-r", label="cosine") plt.legend(loc="upper left") plt.ylim(-1.5, 2.0) plt.show()
python plot legend
# Short answer: # matplotlib.pyplot places the legend in the "best" location by default # To add a legend to your plot, call plt.legend() # Example usage: import matplotlib.pyplot as plt x1 = [1, 2, 3] # Invent x and y data to be plotted y1 = [4, 5, 6] x2 = [1, 3, 5] y2 = [6, 5, 4] plt.plot(x1, y1, label="Dataset_1") # Use label="data_name" so that the # legend is easy to interpret plt.plot(x2, y2, label="Dataset_2") plt.legend(loc='best') plt.show() # Other legend locations you can specify: Location String Location Code (e.g. loc=1) 'best' 0 'upper right' 1 'upper left' 2 'lower left' 3 'lower right' 4 'right' 5 'center left' 6 'center right' 7 'lower center' 8 'upper center' 9 'center' 10
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