如何拆分 .txt 文件中的数字和单词答案

【问题标题】：How do I split the number and word in a .txt file如何拆分 .txt 文件中的数字和单词
【发布时间】：2018-08-23 06:13:59
【问题描述】：

tempts1.txt 是：

Living Room,23
Bedroom,24
Kitchen,22
Living Room,24
Bedroom,26
Kitchen,22
Living Room,25
Bedroom,26
Kitchen,23
Living Room,24
Bedroom,26
Kitchen,23

我的问题是：我需要使用这个 .txt 文件找到每个房间的平均值。如何拆分数量和房间，以便我可以使用以下方法找到平均温度：

dict={} 
number={} 
for y in (tempts1.txt) as file:
  number = int(y[1])
  room=y[0]
  if room not in dict:
    room=number
  else: room+=number
for y in dict and number:
   print(dict[y],':',number[y])

【问题讨论】：

使用舒适的pandas 库？

标签： python file dictionary

【解决方案1】：

这是一种使用简单迭代的方法。

演示：

from collections import defaultdict

res = defaultdict(list)
with open(filename) as infile:
    for line in infile:                    #Iterate Each line
        val = line.strip().split(",")      #Split line by comma
        res[val[0]].append(int(val[1]))

for k, v in res.items():
    print("Room: {}, Avg: {}".format(k, sum(v)/float(len(v))))

根据评论编辑 不导入

res = {}
with open(filename) as infile:
    for line in infile:                    #Iterate Each line
        val = line.strip().split(",")      #Split line by comma
        if val[0] not in res:
            res[val[0]] = []
        res[val[0]].append(int(val[1]))

for k, v in res.items():
    print("Room: {}, Avg: {}".format(k, sum(v)/float(len(v))))

输出：

Room: Living Room, Avg: 24.0
Room: Kitchen, Avg: 22.5
Room: Bedroom, Avg: 25.5

【讨论】：

我可以使用不需要导入函数的吗？

【解决方案2】：

求和到一本字典并计数到另一本并取平均值：

from collections import defaultdict

d = defaultdict(int)
count = defaultdict(int)

lines = txt.split('\n')
for line in lines:
    sep = line.split(',')
    d[sep[0]] += int(sep[1])
    count[sep[0]] += 1 

for k, v in d.items():
    print(f'Average of {k}: {v/count[k]}')

# Average of Living Room: 24.0
# Average of Bedroom: 25.5                                        
# Average of Kitchen: 22.5

【讨论】：

【解决方案3】：

import csv
from collections import defaultdict

# Read data
with open('tempts1.txt') as f:
    reader = csv.reader(f, delimiter=',', quotechar='"')
    data_read = [[row[0], int(row[1])] for row in reader]

# Group by room (fist value)
tempratures_by_room = defaultdict(list)
for room, temperature in data_read:
    tempratures_by_room[room].append(temperature)

# Output
for room, temperatures in sorted(tempratures_by_room.items()):
    print('{room}: {average}'
          .format(room=room,
                  average=float(sum(temperatures))/len(temperatures)))

给予

Bedroom: 25.5
Kitchen: 22.5
Living Room: 24.0

【讨论】：