从文本python计算多个平均值

Question

我是python新手，我想从文本文件中获得多个平均值。例如：

• 63，1，1，145，233，1，2，150，0，2.3，3,0，6,0
• 67 1，4，160，286，0 ，2,108,1,1.5,2,3,3,2
• 67,1,4,120,229,0,2,129,1,2,2,2,7,1,
• 37 ，1,3,130,250,0,0,187,0,3.5,3,0,3,0
• 41,0,2,130,204,0,2,172,0,1.4,1 ，0,3,0

• 56,1,2,120,236,0,0,178,0,0,0.8,1,0,3,0

  就像我只想得到像1,4,5某些列的平均值。

  import pandas as pd 
  df = pd.read_csv('HDPV.txt', "rb") 
  columns = f.readline().strip().split(" ") 
  numRows = 0 
  sums = [0] * len(columns) 
  for line in f: 
  if not line.strip(): 
  continue 
  values = line.split(" ") 
  for i in xrange(len(values)): 
      sums[i] += int(values[i]) 
      numRows += 1 
      for index, summedRowValue in enumerate(sums): 
       print ('average age:'columns[0],summedRowValue/numRows) 
       print ('average chol:'columns[3],summedRowValue/numRows) 
       print ('bp:'columns[4],summedRowValue/numRows) 
  

Answer 1

我不使用熊猫，但可以使用Python列表理解很容易解决：

import csv 

with open('text.csv', newline='') as csvfile: 
    reader = csv.reader(csvfile, delimiter=',') 
    rows = [[value.strip() for value in row] for row in reader] 

    average_age_list = [float(row[0]) for row in rows] 
    print ('average age: ' + str(sum(average_age_list)/float(len(average_age_list)))) 

    average_chol_list = [float(row[3]) for row in rows] 
    print ('average chol: ' + str(sum(average_chol_list)/float(len(average_chol_list)))) 

    bp_list = [float(row[4]) for row in rows] 
    print ('average age: ' + str(sum(bp_list)/float(len(bp_list)))) 

见https://docs.python.org/2/tutorial/datastructures.html#list-comprehensions