如何将“段落”转换为列表

问题描述

我事先道歉，因为我不知道如何正确地问这个问题。每个星期，我都会收到有关股票更新的收益报告。他们看起来像这样

Alexandria Real Estate Equities,Inc. (ARE),Beyond Meat,Inc. (BYND),Brown & Brown,Inc. (BRO),Canon Inc. (CAJ),Chegg,Inc. (CHGG),Cincinnati Financial Co. (CINF),Ecopetrol SA (EC),Hasbro,Inc. (HAS),HCA Healthcare,Inc. (HCA),HSBC Holdings plc (HSBC),NXP Semiconductors (NXPI),Otis Worldwide (OTIS),Packaging Co. of America (PKG),Petróleo Brasileiro S.A. - Petrobras (PBR),Principal Financial Group Inc (PFG),Principal Financial Group,Inc. (PFG),SAP SE (SAP),Twilio Inc (TWLO)

并且由于该消息是通过电子邮件发送的，因此我想找到一种方法来将其存储在看起来很吸引人的.txt中。如果可能的话，我想让它看起来像

[1] Alexandria real estate equities,inc. (ARE)
[2] Beyond meat,inc. (BYND)
[3] Brown & brown,inc. (BRO)
[4] Canon inc. (CAJ)
[5] Chegg,inc. (CHGG)
[6] Cincinnati financial co. (CINF)
[7] Ecopetrol sa  (EC)
[8] Hasbro,inc. (HAS)

以此类推。尽管我不断思考并提出了不同的选择，但我仍然陷于困境，不知道该如何处理。任何帮助将不胜感激。

解决方法

我会这样。

import re

stocks = re.split(r'(?<=\)),\s',stocks_string.replace('\n','')
for index,stock in enumerate(stocks):
    print(f'[{index+1}] {stock}'

我正在使用正则表达式split在股票名称的末尾保留右括号。 （？

,

我们可以看到每只股票之间都用,隔开。但是，由于相同的,字符也用于“，Inc.” ，我们需要用),分隔股票名称。

让我们使用Python的内置split()函数拆分文本。我们从文本中获取字符串列表。像这样：

text = "Alexandria Real Estate Equities,Inc. (ARE),Beyond Meat,Inc. (BYND),Brown & Brown,Inc. (BRO),Canon Inc. (CAJ),Chegg,Inc. (CHGG),Cincinnati Financial Co. (CINF),Ecopetrol SA (EC),Hasbro,Inc. (HAS),HCA Healthcare,Inc. (HCA),HSBC Holdings plc (HSBC),NXP Semiconductors (NXPI),Otis Worldwide (OTIS),Packaging Co. of America (PKG),Petróleo Brasileiro S.A. - Petrobras (PBR),Principal Financial Group Inc (PFG),Principal Financial Group,Inc. (PFG),SAP SE (SAP),Twilio Inc (TWLO)"

split_text = text.split("),")

输出：

['Alexandria Real Estate Equities,Inc. (ARE','Beyond Meat,Inc. (BYND','Brown & Brown,Inc. (BRO','Canon Inc. (CAJ','Chegg,Inc. (CHGG','Cincinnati Financial Co. (CINF','Ecopetrol SA (EC','Hasbro,Inc. (HAS','HCA Healthcare,Inc. (HCA','HSBC Holdings plc (HSBC','NXP Semiconductors (NXPI','Otis Worldwide (OTIS','Packaging Co. of America (PKG','Petróleo Brasileiro S.A. - Petrobras (PBR','Principal Financial Group Inc (PFG','Principal Financial Group,Inc. (PFG','SAP SE (SAP','Twilio Inc (TWLO)']

让我们在末尾附加丢失的)字符。

要获取每只股票的指数，请循环使用enumerate()函数。

最终代码：

split_text = text.split("),")
for idx,stock_name in enumerate(split_text):
    print(f"[{idx+1}] {stock_name})")

输出：

[1] Alexandria Real Estate Equities,Inc. (ARE)
[2] Beyond Meat,Inc. (BYND)
[3] Brown & Brown,Inc. (BRO)
[4] Canon Inc. (CAJ)
[5] Chegg,Inc. (CHGG)
[6] Cincinnati Financial Co. (CINF)
[7] Ecopetrol SA (EC)
[8] Hasbro,Inc. (HAS)
[9] HCA Healthcare,Inc. (HCA)
[10] HSBC Holdings plc (HSBC)
[11] NXP Semiconductors (NXPI)
[12] Otis Worldwide (OTIS)
[13] Packaging Co. of America (PKG)
[14] Petróleo Brasileiro S.A. - Petrobras (PBR)
[15] Principal Financial Group Inc (PFG)
[16] Principal Financial Group,Inc. (PFG)
[17] SAP SE (SAP)
[18] Twilio Inc (TWLO)

,

如果文本文件始终采用以下格式：“此处全名（SHORT）”，那么我们可以使用简单的python拆分，因为我们知道每个术语之间总会有“）”。此拆分将返回您要查找的所有值的数组。

,

要提供所需的格式，我会做：

res = [f"[{index+1}] {i})".replace(",","").replace("\n","") for index,i in enumerate(text.split(")"))]
res.pop()
output = "".join([f"{i}\n" for i in res])
print(output)

打印出

[1] Alexandria Real Estate EquitiesInc. (ARE)
[2] Beyond MeatInc. (BYND)
[3] Brown & BrownInc. (BRO)
[4] Canon Inc. (CAJ)
[5] CheggInc. (CHGG)
[6] Cincinnati Financial Co. (CINF)
[7] Ecopetrol SA (EC)
[8] HasbroInc. (HAS)
[9] HCA HealthcareInc. (HCA)
[10] HSBC Holdings plc (HSBC)
[11] NXP Semiconductors (NXPI)
[12] Otis Worldwide (OTIS)
[13] Packaging Co. of America (PKG)
[14] Petróleo Brasileiro S.A. - Petrobras (PBR)
[15] Principal Financial Group Inc (PFG)
[16] Principal Financial GroupInc. (PFG)
[17] SAP SE (SAP)
[18] Twilio Inc (TWLO)