CCDF

CCDF，互补累计分布函数。
简单点说就是，对于x，y=P(值>x).

import matplotlib
import matplotlib.pyplot as plt
import numpy as np
def CCDF(data):
    Data = np.array(data)
    cdf = Data.cumsum(0)
    l = cdf[-1]
    cdf = 1.0*cdf / l
    ccdf = 1-cdf
    return ccdf
    
def drawCDDF(data):
    data=np.array(data)
    ents=[]
    nums=[]
    for d in data:
        ents.append(d[0])
        nums.append(d[1])
    ccdf = CCDF(nums)
    plt.plot(ents,ccdf)
    plt.xlabel('X轴标签')
    plt.xlim(0, 6.5)
    plt.xticks(np.arange(0,6.5,0.5))
    plt.grid(True)
    plt.ylabel('y轴标签')
    plt.ylim((0, 1.1))
    plt.yticks(np.arange(0, 1.1, 0.1))
    plt.show()
    
def dealData(data):
	dic={}
	for d in data:
		if dic.get(d)!=None:
                dic[d]+=1
        else:
                dic[d]=1
 	vals_nums = []
    for k,v in dic.items():
        vals_nums.append([k,v])
    return vals_nums
if __name__ == '__main__':
	a=[1,2,3,4,5,6,7,8,9,10,9,8,7,6,5,4,3,2,1]
	drawCDDF(dealData(a))