legend size matplotlib
plt.plot([1, 2, 3], label='Inline label')
plt.legend(loc=1, prop={'size': 16})legend size matplotlib
plt.plot([1, 2, 3], label='Inline label')
plt.legend(loc=1, prop={'size': 16})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()plt.legend(
plt.legend(['first', 'second']);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' 10python no label in legend matplot
ax.plot(randn(1000).cumsum(), 'k.', label='_nolegend_')python plt show legend
import numpy as np
import matplotlib.pyplot as plt
def example_legend():
plt.clf()
x = np.linspace(0, 1, 101)
y1 = np.sin(x * np.pi / 2)
y2 = np.cos(x * np.pi / 2)
plt.plot(x, y1, label='sin')
plt.plot(x, y2, label='cos')
plt.legend()Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
