我想从 TXT 文件中提取包含 x 和 y 数据的特定行，并按 y 数据对它们进行排序

Question

这是我的 TXT 文件的屏幕截图，我已经确定了我应该提取它的部分

我想从 TXT 文件中提取包含销售数据（包括商品及其销售额）的特定行，并按销售额对它们进行排序。 结果应该是这样的，在不显示数量的情况下，根据它们的排序索引，在单独的行中显示每个项目及其索引，而不显示它们的数量：1- Citem 2- eitem 3- Ditem 4- Xitem 5- aitem 6- bitem 7- Yitem I使用此代码：我遇到错误

with open ('myfile', 'r') as myfile:
    for myline in myfile:
        if "sold" in myline:
            item, amount = myline.split('(')
            for index, item in enumerate((amount)):
                print(index, item.rstrip("\n"))
[this the result (whole code)][1]
``` when I just extract the items without indexing and sorting them by amount its ok with the code below: but its not the answer that I want

with open ('myfile.txt', 'rt') as myfile:
    for myline in myfile:
        if "sold" in myline:
            Item, Amount = myline.split('(')
          
            print(Item.rstrip("\n"))

[Just extracting the Items without sorting them by amount][2]


  [1]: https://i.stack.imgur.com/4gsUR.png
  [2]: https://i.stack.imgur.com/nD2ha.png

Answer 1

如果文本文件格式与显示的完全一样，那么您可以这样做：

items = []

m = {'thousand': 1_000, 'million': 1_000_000}

with open('myfile.txt') as data:
    for line in data:
        if 'sold)' in line:
            item, *e = line.split()
            n = float(e[-3][1:]) * m.get(e[-2], 1)
            items.append((n, item))

print(sorted(items))

Output：

[(13000.0, 'Yitem'), (120000.0, 'bitem'), (191000.0, 'aitem'), (2000000.0, 'Xitem'), (7200000.0, 'Ditem'), (32000000.0, 'eitem'), (96300000.0, 'Citem')]

Answer 2

这是执行此操作的一种方法：

with open ('myfile', 'r') as myfile:
    data = myfile.readlines()

# match "thousand" and "million" to a number
scalekey = {"thousand": 1000, "million": 1000000}

items = []  # store item names
saleamount = []  # store amount of sales

# loop through the data
for line in data:
    if "sold" in line:
        itemline = line.strip().replace("sold", "")  # remove sold from the line
        items.append(itemline.split()[0])  # item name is the first value
        
        # get the number of sold items from between the brackets
        nsold = itemline[itemline.index("(") + 1: itemline.index(")")]
        
        # convert the number into an integer
        intnum = int(nsold.strip().split()[0])
        
        # get the scale factor (i.e., thousand or million)
        scale = scalekey[nsold.strip().split()[1]]
        saleamount.append(intnum * scale)

# perform sorting
sortedlist = sorted(zip(saleamount, items))

print(sortedlist)