参考matplotlib官方指南：
https://matplotlib.org/tutorials/introductory/pyplot.html#sphx-glr-tutorials-introductory-pyplot-py
pyplot是常用的画图模块，功能非常强大，下面就来见识下它的能力吧
1.快速画出常见图形
2.使用关键字字符串作图
3.使用类别变量画图
4.创建多图
1 import matplotlib.pyplot as plt 2 %matplotlib inline 3 plt.figure(1) # the first figure
4 plt.subplot(211) # the first subplot in the first figure
5 plt.plot([1, 2, 3]) 6 plt.subplot(212) # the second subplot in the first figure
7 plt.plot([4, 5, 6]) 8
9
10 plt.figure(2) # a second figure
11 plt.plot([4, 5, 6]) # creates a subplot(111) by default
12
13 plt.figure(1) # figure 1 current; subplot(212) still current
14 plt.subplot(211) # make subplot(211) in figure1 current
15 plt.title('Easy as 1, 2, 3') # subplot 211 title
1 import matplotlib.pyplot as plt 2 import numpy as np 3
4 np.random.seed(19680801) 5 data = np.random.randn(2, 100) 6
7 fig, axs = plt.subplots(2, 2, figsize=(5, 5)) 8 axs[0, 0].hist(data[0]) 9 axs[1, 0].scatter(data[0], data[1]) 10 axs[0, 1].plot(data[0], data[1]) 11 axs[1, 1].hist2d(data[0], data[1]) 12
13 plt.show()
5.添加文本：轴线标签，属性标签
1 import matplotlib.pyplot as plt 2 import numpy as np 3 mu, sigma = 100, 15
4 x = mu + sigma * np.random.randn(10000) 5
6 # the histogram of the data
7 n, bins, patches = plt.hist(x, 50, normed=True, facecolor='g', alpha=0.75) 8
9
10 plt.xlabel('Smarts') 11 plt.ylabel('Probability') 12 plt.title('Histogram of IQ') 13 plt.text(60, .025, r'$\mu=100,\ \sigma=15$') # 支持 LaTex格式
14 plt.axis([40, 160, 0, 0.03]) 15 plt.grid(True) 16 plt.show()
