数据可视化：python matplotlib小试牛刀

import pandas as pd
import matplotlib.pyplot as plt
from pylab import mpl
#设置标题字体
mpl.rcParams['font.sans-serif']=['FangSong']

df = pd.read_csv('data.csv', index_col = '年份')
df.head()
#dataframe读取数据的方式，行属性
x=df.index.values
#dataframe读取数据的方式，列名
y=df['人均GDP（元）'].values
#构造figure对象 ，和子窗口
fig,ax = plt.subplots()
ax.plot(x,y,'r--o')
ax.set(title='GDP走势',xlabel='年份')
print(df.head())
plt.show()
#第二种画折线图的方式2
#fig=plt.figure()
#设置subplot(x,y,z) x:行数 y:列数，z:接下来Plot画图位置，放在第几个自窗口
#ax=fig.add_subplot(111)

#柱形图
#df['人均GDP（元）'].plot(kind='bar')
#plt.show()

import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.animation as animation

def update_points(num):
    print(num)
    point_ani.set_data(x[num], y[num])
    return  point_ani,

x = np.linspace(0, 2*np.pi,100)
y = np.sin(x)

fig = plt.figure(tight_layout = True)
plt.plot(x,y)
point_ani, = plt.plot(x[0], y[0], "ro")
plt.grid(ls="--")
ani = animation.FuncAnimation(fig, update_points , np.arange(0,100),interval =100,blit =True)
### where to draw, how to draw , init list
plt.show()