python - 如何使用正则表达式更改数据记录的顺序并将其放在一个数据框中？

Question

我想知道的是如何使用上面的数据框和正则表达式来将数据行按正确的顺序排列。 正如您可以通过索引 2 和 4 看到的，数量和件数的顺序错误。 有人知道如何解决这个问题吗？

data = [['Total 8\r\r\nQuantity 2\r\r\nPiece 4'], ['Total 8\r\r\nQuantity 2\r\r\nPiece 4'],['Total 8\r\r\nPiece 2\r\r\nQuantity 4'], ['Total 8\r\r\nQuantity 2\r\r\nPiece 4'], ['Total 8\r\r\nPiece 2\r\r\nQuantity 4'],['Total 8\r\r\nQuantity 2\r\r\nPiece 4'], ['Total 8\r\r\nQuantity 2\r\r\nPiece 4'],['Total 8\r\r\nPiece 2\r\r\nQuantity 4'], ['Total 8\r\r\nQuantity 2\r\r\nPiece 4'], ['Total 8\r\r\nPiece 2\r\r\nQuantity 4']] 
df = pd.DataFrame(data, columns = ['Information']) 
df 

+-------+--------------------------------------+
| index |             Information              |
+-------+--------------------------------------+
|     0 | Total 8\r\r\nQuantity 2\r\r\nPiece 4 |
|     1 | Total 8\r\r\nQuantity 2\r\r\nPiece 4 |
|     2 | Total 8\r\r\nPiece 2\r\r\nQuantity 4 |
|     3 | Total 8\r\r\nQuantity 2\r\r\nPiece 4 |
|     4 | Total 8\r\r\nPiece 2\r\r\nQuantity 4 |
|     5 | Total 8\r\r\nQuantity 2\r\r\nPiece 4 |
|     6 | Total 8\r\r\nQuantity 2\r\r\nPiece 4 |
|     7 | Total 8\r\r\nPiece 2\r\r\nQuantity 4 |
|     8 | Total 8\r\r\nQuantity 2\r\r\nPiece 4 |
|     9 | Total 8\r\r\nPiece 2\r\r\nQuantity 4 |
+-------+--------------------------------------+


dt = pd.DataFrame(df)
data = []
for item in dt['Information']:
    regex = re.findall(r"(\d+)\D+(\d+)\D+(\d+)",item)
    quantity = re.findall(r"\bTotal\s?\d\D+(\bQuantity)",item)
    piece = re.findall(r"\bTotal\s?\d\D+(\bPiece)",item)
    regex = (map(list,regex))
    data.append(list(map(int,list(regex)[0])))
dftotal = pd.DataFrame(data, columns=['Total','Quantity','Piece'])
print(dftotal)

通过这段代码，我得到了如下所示的列

+-------+----------+-------+
| Total | Quantity | Piece |
+-------+----------+-------+
|     8 |        2 |     4 |
|     8 |        2 |     4 |
|     8 |        2 |     4 |
|     8 |        2 |     4 |
|     8 |        2 |     4 |
|     8 |        2 |     4 |
|     8 |        2 |     4 |
|     8 |        2 |     4 |
|     8 |        2 |     4 |
+-------+----------+-------+ 

如何通过从“数据数组”中切换这些错误的顺序并将正确的变量放入单个数据框中来获得如下所示的数据框？

+-------+----------+-------+   
| Total | Quantity | Piece |
+-------+----------+-------+
|     8 |        2 |     4 |
|     8 |        4 |     2 |
|     8 |        2 |     4 |
|     8 |        4 |     2 |
|     8 |        2 |     4 |
|     8 |        2 |     4 |
|     8 |        4 |     2 |
|     8 |        2 |     4 |
|     8 |        4 |     2 |
+-------+----------+-------+

Answer 1

这是一种使用 str.extract

的方法

例如:

import pandas as pd

data = [['Total 8\r\r\nQuantity 2\r\r\nPiece 4'], ['Total 8\r\r\nQuantity 2\r\r\nPiece 4'],['Total 8\r\r\nPiece 2\r\r\nQuantity 4'], ['Total 8\r\r\nQuantity 2\r\r\nPiece 4'], ['Total 8\r\r\nPiece 2\r\r\nQuantity 4'],['Total 8\r\r\nQuantity 2\r\r\nPiece 4'], ['Total 8\r\r\nQuantity 2\r\r\nPiece 4'],['Total 8\r\r\nPiece 2\r\r\nQuantity 4'], ['Total 8\r\r\nQuantity 2\r\r\nPiece 4'], ['Total 8\r\r\nPiece 2\r\r\nQuantity 4']] 
df = pd.DataFrame(data, columns = ['Information'])

df["Total"] = df["Information"].str.extract(r"Total (\d+)")
df["Quantity"] = df["Information"].str.extract(r"Quantity (\d+)")
df["Piece"] = df["Information"].str.extract(r"Piece (\d+)")
df.drop("Information", inplace=True, axis=1)
print(df)

输出:

  Total Quantity Piece
0     8        2     4
1     8        2     4
2     8        4     2
3     8        2     4
4     8        4     2
5     8        2     4
6     8        2     4
7     8        4     2
8     8        2     4
9     8        4     2