如何在python中转换打印输出

Question

我已经构建了这个小代码来从字符串（字符串也可以是1页）中获取pkeys（数字），然后按行显示唯一的pkeys。例如，如果字符串为“失败：无法检索市场数据：[工具48021088、1029755的历史相关性
大于2M，仪器48021088、102975554454的历史相关性大于2M，加载结构化产品市场数据时出错“

输出应为： 48021088 1029755 5445454

但是现在我的输出是[480210810297552] 544545]

注：不应将字符串“2M”中的2作为pkey，即2个月

此外，每当我在这段代码中复制一个长字符串时，我必须在每一行的末尾放\以使其运行。如果我从outlook或任何其他源中复制一个字符串并粘贴到这段代码中，我能做些什么，它应该自动格式化它并自行插入\吗

import re
import numpy as np
import pandas as pd


regex = ('\d+')
match = re.findall(regex, 'Failure: Cannot retrieve market data: [Historical correlation for instruments 48021088, 1029755 \
is older than 2M, Historical correlation for instruments 48021088, 1029755 is older than 2M, Error while loading Structured Product market data \
Failure: Cannot retrieve market data: [Historical correlation for instruments 52598110, 35602558 is older than 2M, Historical correlation for instruments \
52598110, 35602558 is older than 2M, Historical correlation for instruments 52598110, 35602558 is older than 2M, Historical correlation for instruments 52598110, \
35602558 is older than 2M, Error while loading Structured Product market data \
Failure: Cannot retrieve market data: [Historical correlation for instruments 48021088, 1029755 is older than 2M, Historical correlation for instruments 48021088, 1029755 \
is older than 2M, Error while loading Structured Product market data \
Failure: Cannot retrieve market data: [Historical correlation for instruments 612292, 52598110 is older than 2M, Historical correlation for instruments 612292, 52598110 is \
older than 2M, Historical correlation for instruments 612292, 52598110 is older than 2M, Historical correlation for instruments 612292, 52598110 is older than 2M, \
Error while loading Structured Product market data \
Failure: Cannot retrieve market data: [Historical correlation for instruments 489459, 104322960 is older than 2M, Historical correlation for instruments 489459, \
104322960 is older than 2M, Historical correlation for instruments 489459, 104322960 is older than 2M, Historical correlation for instruments 489459, \
104322960 is older than 2M, Error while loading Structured Product market data')
res = list(map(int,match))
x = res
# print(str(x))
unique_numbers = list(set(x))
print(np.transpose(unique_numbers))

Answer 1

由' '或" "分隔的字符串应该在一行上。可以通过在每行末尾使用\或通过''' '''或""" """对它们进行定界，将它们分成多行

关于正则表达式，我看到您使用\d+表示至少一个数字。您可以使用\d{n,}将其更改为至少n个数字

Answer 2

这应该可以做到：

import re

regex = (r'(?<=\s)(\d+)(?=\s|,)') # positive and negative look assertions

# note use of triple quotes to negate use of \
match = re.findall(regex, """Failure: Cannot retrieve market data: [Historical correlation for instruments 48021088, 1029755
is older than 2M, Historical correlation for instruments 48021088, 1029755 is older than 2M, Error while loading Structured Product market data
Failure: Cannot retrieve market data: [Historical correlation for instruments 52598110, 35602558 is older than 2M, Historical correlation for instruments
52598110, 35602558 is older than 2M, Historical correlation for instruments 52598110, 35602558 is older than 2M, Historical correlation for instruments 52598110,
35602558 is older than 2M, Error while loading Structured Product market data
Failure: Cannot retrieve market data: [Historical correlation for instruments 48021088, 1029755 is older than 2M, Historical correlation for instruments 48021088, 1029755
is older than 2M, Error while loading Structured Product market data
Failure: Cannot retrieve market data: [Historical correlation for instruments 612292, 52598110 is older than 2M, Historical correlation for instruments 612292, 52598110 is
older than 2M, Historical correlation for instruments 612292, 52598110 is older than 2M, Historical correlation for instruments 612292, 52598110 is older than 2M,
Error while loading Structured Product market data
Failure: Cannot retrieve market data: [Historical correlation for instruments 489459, 104322960 is older than 2M, Historical correlation for instruments 489459,
104322960 is older than 2M, Historical correlation for instruments 489459, 104322960 is older than 2M, Historical correlation for instruments 489459,
104322960 is older than 2M, Error while loading Structured Product market data""")

unique_numbers = list(set(match))
print(*unique_numbers)  # print as required

---

解释

从Python Regex docs

如果字符串中的当前位置前面有一个以当前位置结尾的...匹配项，则(?<=...)匹配。这被称为正向查找断言

如果...匹配next，则(?=...)匹配，但不使用任何字符串。这称为前瞻断言

这些共同构成了一个环顾四周的断言。然后我们有<look behind>(\d+)<look ahead>。()表示这是匹配的组-从findall调用返回的组。然后\d+和以前一样-不止一个数字