用Python怎么编代码？

读取一个在D盘的文本文件，文本文件内容为：50 89 77 66 55 88 23 68 73 55 123 777 536 876 99 。并对里面的所有值进行求和，求平均值。

试试。

import pandas as pd
df = pd.read_csv(r'd:\test.txt',header=None, sep=' ')
print(df)

num =  len(df.columns)                                       #个数
sum = df.apply(lambda x: x.sum(), axis=1)[0]    #求和
ave = sum / num                                                #求平均数
print(num, sum, ave )

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def readlog(s):
with open(s, 'r', encoding='utf-8', errors='ignore') as f:
a=f.read()
print(a)

def readlineslog(s):
with open(s, 'r', encoding='utf-8', errors='ignore') as f:
ls = f.readline()
print(ls)
return ls

def tellPos(s, n):
if n == 0:
return 0
else:
c = 0
with open(s, 'r', encoding='utf-8', errors='ignore') as f:
while 1:
line = f.readline()
c += 1
if c == n or line == '':
break
pos = f.tell()
return pos

def readlinelog(s, startline , endline):
pos = tellPos(s,startline)
c=0
with open(s, 'r', encoding='utf-8', errors='ignore') as f:
f.seek(pos)
while 1:
line = f.readline()
print(line)
c += 1
if c >= endline - startline or line == '':
break

s = r'D:\text.txt'
ls = readlinelog(s,2,14)
print(ls)

直接上代码吧，有什么不对的，再给我留言

if __name__ == "__main__":
    # 读取txt文件
    s = "D:/data.txt"
    with open(s, 'r') as f:
        data = f.read().splitlines()

    nums = [int(x) for x in data[0].split()]
    _sum = sum(nums)
    _mean = _sum / len(nums)
    print("sum: ", _sum)
    print("mean: ", _mean)

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filename = r"D:\number_data.txt"  # 文件名，可以换成自己的文件路径，文件路径可以在问津属性里找
with open(filename, 'r') as f:    # 打开文件
    lst = list(f.read().split())   # 以空格分隔数据，并将数据生成列表格式储存

print("文件中的数据有:", lst)
sum_number = 0   # 数据总和
for number in lst:  # 遍历数据
    sum_number += int(number)   # 因为列表里的数据是字符串不能直接相加所以用int将数据转化为数值再相加
print("数据总和为:", sum_number)