python累计比例 python统计占比

说明:

• 输入: 两个np.array数组

• 如数组[1,2,3,4,5,6,7,8,9,10],  在小于[1,2,8]中各个数值的占比如下
• [('data<1', '0.0'), ('data<2', '0.1'), ('data<8', '0.7')]

• 输出: 数组中指定分段间的比例值

代码

import sys
import numpy as np

def statistic_arr(myarr, bins):
    """
     print the data distribution in myarr based on the segment in bins
     Args:
        myarr (np.array):  the data for statistic
        bins (np.array):  the segment of the data, such as[0.5, 1, 5, 10]
    """
    statis= np.arange(bins.size)
    result = []
    for i in range(0, bins.size):
        statis[i]= myarr[myarr < bins[i]].size
        str_item = ("data<" + str(bins[i]) , str(round(statis[i]/myarr.size,5) ))
        result.append(str_item)
    
    print(result)

# 测试代码
myarr=np.array([1,2,3,4,5,6,7,8,9,10])
bins=np.array([1, 2,8])
statistic_arr(myarr, bins)

结果

[('data<1', '0.0'), ('data<2', '0.1'), ('data<8', '0.7')]