"matplotlib legend" Code Answer's
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matplotlib legend
Plain Pigeon
on Jun 01, 2020
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()Source: stackoverflow.com
matplotlib legend out of plot
Confused Crane
on Jul 07, 2020
ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.05),
ncol=3, fancybox=True, shadow=True)position of legend matplotlib
Sleepy Shark
on Mar 25, 2020
plt.legend(loc='upper right')plt.legend(
Annoying Alpaca
on Jan 13, 2021
plt.legend(['first', 'second']);Source: jakevdp.github.io
legend matplotlib
Ferry_Morris
on Nov 16, 2020
import matplotlib.pyplot as plt
#define x and ysin
plt.plot(x,ysin,label='sin(x)')
plt.legend()
plt.show()
Source: stackoverflow.com
python how to add a figure legend at the best position
Obsequious Octopus
on Oct 03, 2020
# 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' 10Source: matplotlib.org
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