Matplotlib資料視覺化——圖中圖
阿新 • • 發佈:2018-11-30
import matplotlib.pyplot as plt
"""
圖中圖實驗
"""
# 繪製大圖
fig = plt.figure() # 使用figure後往往在函式前要加set_或add_等字首
x = [1,2,3,4,5,6,7]
y = [1,3,4,2,5,8,6]
left, bottom,width, height = 0.1, 0.1, 0.8, 0.8
ax1 = fig.add_axes([left, bottom,width, height])
ax1.plot(x,y,'r')
ax1.set_xlabel('x')
ax1.set_ylabel('y' )
ax1.set_title('title')
# 繪製第一個小圖
x = [1,2,3,4,5,6,7]
y = [1,3,4,2,5,8,6]
left, bottom,width, height = 0.2, 0.6, 0.25, 0.25
ax1 = fig.add_axes([left, bottom,width, height])
ax1.plot(y,x,'b')
ax1.set_xlabel('x')
ax1.set_ylabel('y')
ax1.set_title('title inside 1')
# 繪製第二個小圖
plt.axes([0.6, 0.2, 0.25, 0.25]) #不用figure的形式則無須用set
plt.plot(y[::-1], x, 'g')
plt.xlabel('x')
plt.ylabel('y')
plt.title('title inside 2')
plt.show()