Overview of pyplot basic chart functions

Function overview

1. Pyplot pie chart drawing

plt.pie ()

import matplotlib.pyplot as plt

labels = 'Frogs','Hogs','Dogs','Logs'
#labels给出每块对应的标签
sizes = [15,30,45,10]
explode = (0,0.1,0,0)
#explode指出应该突出哪一块

plt.pie(sizes,
	explode=explode, 
	labels=labels,
	autopct='%1.1f%%',
	shadow=False, #表示是二维还是带阴影
	startangle=90)
plt.show()

Result:

Add a sentence to the above code:

plt.axis('equal')

You can get a circular pie chart.

2. Pyplot histogram drawing

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(0)
mu, sigma = 100, 20
#均值和标准差
a = np.random.normal(mu,sigma,size=100)

plt.hist(a,20,
         normed=1,
         histtype='stepfilled',
         facecolor='b',
         alpha=0.75)#20是直方图个数
#normed=1表示将出现在直方图中的数据个数转换为概率
#normed=0，纵坐标就是出现在直方图中的数据个数。
plt.title('Histogram')
plt.show()

3. Drawing of scatter plot

Object-oriented approach:

import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots()#默认（1，1，1）
ax.plot(10*np.random.randn(100),10*np.random.randn(100),'o')
ax.set_title('Simple Scatter')
plt.show()