对每列数据进行求平均值，并将所有平均值按列的先后顺序放入一个list中？

Question

数据一共40列，想对每列数据进行求平均值，并将所有平均值按列的先后顺序放入一个list中，该怎么写代码？

Answer 1

sums = [0] * 40
with open('inputfile', 'r') as f:
    lines = 0
    for line in f:
        lines += 1
        for i, data in enumerate(line.split()):
            sums[i] += float(data) 
avgs = [s / lines for s in sums]

Answer 2

file: data.txt

0.1 0.2 0.3
0.4 0.5 0.6
0.7 0.8 0.9

code:

import pandas as pd
print(list(pd.read_csv("data.txt", sep=" ", header=None, dtype="float64").mean()))

Answer 3

读成dataframe，直接求平均值mean不是方便么。

Answer 4

numpy的array数组的话，可以使用np.mean(A,axis=0)按列求取平均数。
当然，按行取平均数则为np.mean(A,axis=1)