matplotlib

1.matplotlib-数据可视化和绘图

2.导入方式

1 import matplotlib.pyplot as plt#第一种导入方式
2 from matplotlib import pyplot as plt#第二种导入方式

3.功能

使用默认属性的简单plot

1 plt.plot(x,y)
2 plt.show

修改绘图属性

 1 # Imports
 2 import numpy as np
 3 import matplotlib.pyplot as plt
 4 
 5 # Create a new figure of size 8x6 points, using 100 dots per inch
 6 plt.figure(figsize=(8,6), dpi=80)
 7 
 8 # Create a new subplot from a grid of 1x1
 9 plt.subplot(111)
10 
11 X = np.linspace(-np.pi, np.pi, 256,endpoint=True)
12 C,S = np.cos(X), np.sin(X)
13 
14 # Plot cosine using blue color with a continuous line of width 1 (pixels)
15 plt.plot(X, C, color="blue", linewidth=1.0, linestyle="-")
16 
17 # Plot sine using green color with a continuous line of width 1 (pixels)
18 plt.plot(X, S, color="green", linewidth=1.0, linestyle="-")
19 
20 # Set x limits
21 plt.xlim(-4.0,4.0)
22 
23 # Set x ticks
24 plt.xticks(np.linspace(-4,4,9,endpoint=True))
25 
26 # Set y limits
27 plt.ylim(-1.0,1.0)
28 
29 # Set y ticks
30 plt.yticks(np.linspace(-1,1,5,endpoint=True))
31 
32 # Save figure using 72 dots per inch
33 # savefig("../figures/exercice_2.png",dpi=72)
34 
35 # Show result on screen
36 plt.show()
View Code

 添加图例

1 plt.plot(x,c,label='cosine')
2 plt.plot(x,s,label='sine')
3 plt.legend(loc='upper left',frameon=False)

 

 

matplotlib.pyplot.plot(*args, **kwargs)

posted @ 2018-06-29 08:50  下山道士又出家  阅读(191)  评论(0)  编辑  收藏  举报