python圖例位置

Legends are one of the key components of data visualization and plotting. Matplotlib can automatically define a position for a legend in addition to this, it allows us to locate it in our required positions. Following is the list of locations on which we can locate our plot legend.

圖例是數據可視化和繪圖的關鍵組成部分之一。 Matplotlib可以為此自動定義圖例的位置，它使我們能夠將其定位在所需的位置。 以下是我們可以在其中找到圖例的位置的列表。

圖例位置的Python代碼 (Python code for legend locations)

# Data Visualization using Python
# Adding a Legend Location
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 2, 100)
# Example 1
plt.figure()
plt.plot(x, x+2, label='linear')  
plt.plot(x, x**2, label='quadratic')  
plt.plot(x, x**3, label='cubic')
plt.xlabel('x label')
plt.ylabel('y label')
plt.title("lower right")
plt.legend(loc='lower right')
# Example 2
plt.figure()
x = np.linspace(0.0, 5.0)
y = x*x
plt.subplot(2, 1, 2)
plt.plot(x, y, 'g.-',label='quadratic')
plt.plot(x,x, 'r.-', label='linear')
plt.title('uper left')
plt.xlabel('numbers')
plt.ylabel('Square')
plt.legend(loc='uper left')
plt.show()
# Example 3
# Random Bar Graph Example
plt.figure()
plt.bar(np.arange(26), np.random.randint(0,50,26), alpha = 0.5, color='g', label='Legend Bar Graph')
plt.title('center right')
plt.legend(loc='center right')

Output:

輸出：

Output is as figure

翻譯自: https://www.includehelp.com/python/legend-locations.aspx

python圖例位置