Question

我是python的新手，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
67,1,4,160,286,0,2,10,1,1.5,2,3,3,2
67,1,4,120,229,0,2,129,1,2.6,2,2,7,1
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

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

就像我只想获得像1,4,5这样的某些列的平均值。

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pandas，但使用python list comprehension可以很容易地解决这个问题：

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))))

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

从文本python计算多个平均值

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