import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
df = pd.read_csv('population.csv',skiprows=3)
df.set_index('Country Code',inplace=True)
excep = ['EAP','SAS','TEA','TEC','TLA','TMN','TSA','TSS',
         'IBT','IDA','IDB','OED','HIC','LTE','PRE','PST',
         'IDX','SSA','LDC','ECS','HPC','LIC','LCN','LAC',
         'EUU','FCS','LMY','MIC','IBD','EAR','LMC','UMC',
         'EAS','SSF','MEA','ECA','ARB','MNA','NAC','EMU',
         'CEB']
df.drop(excep,inplace=True)
plt.rcParams['font.sans-serif']=['SimHei']
plt.ion()
for y in range(1960,2018):
    plt.clf()
    plt.gca().invert_yaxis()
    plt.title(str(y))
    ndf = df.sort_values(by=str(y),ascending=False)
    ndf = ndf[1:10]
    Pic = plt.barh(ndf["Country Name"],ndf[str(y)])
    for rect in Pic:
        w=rect.get_width()
        plt.text(w,rect.get_y()+rect.get_height()/2,'%d'%int(w),ha='left',va='center')
    plt.pause(0.05)
while True:
    plt.pause(1)