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()matplotlib add legend axis x
fig = plt.figure(figsize=(10,5))
ax = fig.add_subplot(111)
ax.set_title('ADR vs Rating (CS:GO)')
ax.scatter(x=data[:,0],y=data[:,1],label='Data')
plt.plot(data[:,0], m*data[:,0] + b,color='red',label='Our Fitting
Line')
ax.set_xlabel('ADR')
ax.set_ylabel('Rating')
ax.legend(loc='best')
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 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
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