我有一個類似這樣的清單：
['Security Name % to Net Assets* Assets* DEBENtURES 0.04 Britannia Industries Ltd. 0.04 Britannia Industries Ltd. 0.04 EQUity & EQUity RELAtED 96.83 EQUity & EQUity RELAtED 96.83 HDFC Ban
k Ltd. 6.98 HDFC Bank Ltd. 6.98 ICICI Bank Ltd. 4.82 ICICI Bank Ltd. 4.82 Infosys Ltd. 4.37 Infosys Ltd. 4.37 Reliance Industries Ltd. 4.05 Reliance Industries Ltd. 4.05 Bajaj\tFinance\tL
td. 3.82 Bajaj\tFinance\tLtd. 3.82 Housing Development Finance Corpn. Ltd. 3.23 Housing Development Finance Corpn. Ltd. 3.23 Grindwell Norton Ltd. 3.22 SRF Ltd. 3.22 SRF Ltd. 3.22 Sun Pha
rmaceutical Industries Ltd. 2.85 Sun Pharmaceutical Industries Ltd. 2.85 Bharti Airtel Ltd. 2.82 DLF Ltd. 2.64 DLF Ltd. 2.64 Ultratech Cement Ltd. 2.62 Ultratech Cement Ltd. 2.62 SKF Indi
a Ltd. 2.45 Crompton Greaves Consumer Electricals Ltd. 2.42 Crompton Greaves Consumer Electricals Ltd. 2.42 Avenue Supermarts Ltd. 2.41 Avenue Supermarts Ltd. 2.41 Axis Bank Ltd. 2.41 ABB
India Ltd. 2.35 ABB India Ltd. 2.35 Titan Co. Ltd. 2.29 Titan Co. Ltd. 2.29 Kotak Mahindra Bank Ltd. 2.09 Cipla Ltd. 2.05 Cipla Ltd. 2.05 Laurus Labs Ltd. 2.04 Laurus Labs Ltd. 2.04 Wipr
o Ltd. 1.77 Happiest Minds Technologies Ltd. 1.68 Happiest Minds Technologies Ltd. 1.68 Canara Bank 1.67 Canara Bank 1.67 Shree Cement Ltd. 1.63 Security Name % to Net Assets* Assets* Mah
indra & Mahindra Ltd. 1.59 Pidilite Industries Ltd. 1.50 Pidilite Industries Ltd. 1.50 ICICI Lombard General Insurance Co. Ltd. 1.48 ICICI Lombard General Insurance Co. Ltd. 1.48 Cholaman
dalam Investment & Finance Co. Ltd. 1.45 Cholamandalam Investment & Finance Co. Ltd. 1.45 Tech Mahindra Ltd. 1.35 Tech Mahindra Ltd. 1.35 State Bank of India 1.31 State Bank of India 1.31
Hindustan Unilever Ltd. 1.30 Hindustan Unilever Ltd. 1.30 Vardhman Textiles Ltd. 1.30 Vardhman Textiles Ltd. 1.30 Larsen & Toubro Ltd. 1.24 Larsen & Toubro Ltd. 1.24 Dabur India Ltd. 1.2
2 Neogen Chemicals Ltd. 1.10 Neogen Chemicals Ltd. 1.10 Eicher Motors Ltd. 1.09 Eicher Motors Ltd. 1.09 Thermax Ltd. 1.08 TATA Consultancy Services Ltd. 1.05 TATA Consultancy Services Ltd
. 1.05 Indian Railway Catering & Tourism Corpn. Ltd. 0.98 Indian Railway Catering & Tourism Corpn. Ltd. 0.98 Firstsource Solutions Ltd. 0.97 Nestle India Ltd. 0.86 Nestle India Ltd. 0.86
Asian Paints Ltd. 0.84 Asian Paints Ltd. 0.84 Welspun India Ltd. 0.72 IndusInd Bank Ltd. 0.63 IndusInd Bank Ltd. 0.63 SBI Life Insurance Co. Ltd. 0.50 SBI Life Insurance Co. Ltd. 0.50 Dee
pak Nitrite Ltd. 0.46 Adani Ports and Special Economic Zone Ltd. 0.36 Adani Ports and Special Economic Zone Ltd. 0.36 Gateway Distriparks Ltd. 0.33 Gateway Distriparks Ltd. 0.33 Bharat Fo
rge Ltd. 0.22 tREPS on G-Sec or t-Bills 2.81 tREPS on G-Sec or t-Bills 2.81 Cash & Cash Receivables 0.32 Cash & Cash Receivables 0.32 tOtAL']
在這個串列中，我試圖在每個文本后添加一個逗號，然后我想將串列轉換為 Pandas 資料框。我嘗試使用這個：
transformed_text = [",".join(i.split(" ")) for i in text]
print(transformed_text)
這給了我這個：
['Security,Name,%,to,Net,Assets*,Assets*,DEBENtURES,0.04,Britannia,Industries,Ltd.,0.04,Britannia,Industries,Ltd.,0.04,EQUity,&,EQUity,RELAtED,96.83,EQUity,&,EQUity,RELAtED,96.83,HDFC,Ban
k,Ltd.,6.98,HDFC,Bank,Ltd.,6.98,ICICI,Bank,Ltd.,4.82,ICICI,Bank,Ltd.,4.82,Infosys,Ltd.,4.37,Infosys,Ltd.,4.37,Reliance,Industries,Ltd.,4.05,Reliance,Industries,Ltd.,4.05,Bajaj\tFinance\tL
td.,3.82,Bajaj\tFinance\tLtd.,3.82,Housing,Development,Finance,Corpn.,Ltd.,3.23,Housing,Development,Finance,Corpn.,Ltd.,3.23,Grindwell,Norton,Ltd.,3.22,SRF,Ltd.,3.22,SRF,Ltd.,3.22,Sun,Pha
rmaceutical,Industries,Ltd.,2.85,Sun,Pharmaceutical,Industries,Ltd.,2.85,Bharti,Airtel,Ltd.,2.82,DLF,Ltd.,2.64,DLF,Ltd.,2.64,Ultratech,Cement,Ltd.,2.62,Ultratech,Cement,Ltd.,2.62,SKF,Indi
a,Ltd.,2.45,Crompton,Greaves,Consumer,Electricals,Ltd.,2.42,Crompton,Greaves,Consumer,Electricals,Ltd.,2.42,Avenue,Supermarts,Ltd.,2.41,Avenue,Supermarts,Ltd.,2.41,Axis,Bank,Ltd.,2.41,ABB
,India,Ltd.,2.35,ABB,India,Ltd.,2.35,Titan,Co.,Ltd.,2.29,Titan,Co.,Ltd.,2.29,Kotak,Mahindra,Bank,Ltd.,2.09,Cipla,Ltd.,2.05,Cipla,Ltd.,2.05,Laurus,Labs,Ltd.,2.04,Laurus,Labs,Ltd.,2.04,Wipr
o,Ltd.,1.77,Happiest,Minds,Technologies,Ltd.,1.68,Happiest,Minds,Technologies,Ltd.,1.68,Canara,Bank,1.67,Canara,Bank,1.67,Shree,Cement,Ltd.,1.63,Security,Name,%,to,Net,Assets*,Assets*,Mah
indra,&,Mahindra,Ltd.,1.59,Pidilite,Industries,Ltd.,1.50,Pidilite,Industries,Ltd.,1.50,ICICI,Lombard,General,Insurance,Co.,Ltd.,1.48,ICICI,Lombard,General,Insurance,Co.,Ltd.,1.48,Cholaman
dalam,Investment,&,Finance,Co.,Ltd.,1.45,Cholamandalam,Investment,&,Finance,Co.,Ltd.,1.45,Tech,Mahindra,Ltd.,1.35,Tech,Mahindra,Ltd.,1.35,State,Bank,of,India,1.31,State,Bank,of,India,1.31
,Hindustan,Unilever,Ltd.,1.30,Hindustan,Unilever,Ltd.,1.30,Vardhman,Textiles,Ltd.,1.30,Vardhman,Textiles,Ltd.,1.30,Larsen,&,Toubro,Ltd.,1.24,Larsen,&,Toubro,Ltd.,1.24,Dabur,India,Ltd.,1.2
2,Neogen,Chemicals,Ltd.,1.10,Neogen,Chemicals,Ltd.,1.10,Eicher,Motors,Ltd.,1.09,Eicher,Motors,Ltd.,1.09,Thermax,Ltd.,1.08,TATA,Consultancy,Services,Ltd.,1.05,TATA,Consultancy,Services,Ltd
.,1.05,Indian,Railway,Catering,&,Tourism,Corpn.,Ltd.,0.98,Indian,Railway,Catering,&,Tourism,Corpn.,Ltd.,0.98,Firstsource,Solutions,Ltd.,0.97,Nestle,India,Ltd.,0.86,Nestle,India,Ltd.,0.86,
Asian,Paints,Ltd.,0.84,Asian,Paints,Ltd.,0.84,Welspun,India,Ltd.,0.72,IndusInd,Bank,Ltd.,0.63,IndusInd,Bank,Ltd.,0.63,SBI,Life,Insurance,Co.,Ltd.,0.50,SBI,Life,Insurance,Co.,Ltd.,0.50,Dee
pak,Nitrite,Ltd.,0.46,Adani,Ports,and,Special,Economic,Zone,Ltd.,0.36,Adani,Ports,and,Special,Economic,Zone,Ltd.,0.36,Gateway,Distriparks,Ltd.,0.33,Gateway,Distriparks,Ltd.,0.33,Bharat,Fo
rge,Ltd.,0.22,tREPS,on,G-Sec,or,t-Bills,2.81,tREPS,on,G-Sec,or,t-Bills,2.81,Cash,&,Cash,Receivables,0.32,Cash,&,Cash,Receivables,0.32,tOtAL']
然而，這樣我會丟失很多相關資料..即如果我想要Britannia Industries Ltd.我得到Britannia,Industries,Ltd.如果你仔細觀察，還有更多類似的東西，這不是我想要的：我希望將單詞分開在一個串列中，這樣：
[Britannia Industries Ltd, 0.04, Asian Paints Ltd., 0.84 etc]
我該怎么做才能讓它作業？請幫忙。
編輯：我已經在根級別修復了資料，我得到的串列是這樣的：
['Security Name % to Net Assets* DEBENtURES 0.04 Britannia Industries Ltd. EQUity & RELAtED 96.83 HDFC Bank 6.98 ICICI 4.82 Infosys 4.37 Reliance 4.05 Bajaj Finance 3.82 Housing Developme
nt Corpn. 3.23 Grindwell Norton 3.22 SRF Sun Pharmaceutical 2.85 Bharti Airtel 2.82 DLF 2.64 Ultratech Cement 2.62 SKF India 2.45 Crompton Greaves Consumer Electricals 2.42 Avenue Superma
rts 2.41 Axis ABB 2.35 Titan Co. 2.29 Kotak Mahindra 2.09 Cipla 2.05 Laurus Labs 2.04 Wipro 1.77 Happiest Minds Technologies 1.68 Canara 1.67 Shree 1.63 1.59 Pidilite 1.50 Lombard General
Insurance 1.48 Cholamandalam Investment 1.45 Tech 1.35 State of 1.31 Hindustan Unilever 1.30 Vardhman Textiles Larsen Toubro 1.24 Dabur 1.22 Neogen Chemicals 1.10 Eicher Motors 1.09 Ther
max 1.08 TATA Consultancy Services 1.05 Indian Railway Catering Tourism 0.98 Firstsource Solutions 0.97 Nestle 0.86 Asian Paints 0.84 Welspun 0.72 IndusInd 0.63 SBI Life 0.50 Deepak Nitri
te 0.46 Adani Ports and Special Economic Zone 0.36 Gateway Distriparks 0.33 Bharat Forge 0.22 tREPS on G-Sec or t-Bills 2.81 Cash Receivables 0.32 tOtAL']
uj5u.com熱心網友回復：
您可能可以re.sub在這里使用：
inp = '''Security Name % to Net Assets* DEBENtURES 0.04 Britannia Industries Ltd. EQUity & RELAtED 96.83 HDFC Bank 6.98 ICICI 4.82 Infosys 4.37 Reliance 4.05 Bajaj Finance 3.82 Housing Developme
nt Corpn. 3.23 Grindwell Norton 3.22 SRF Sun Pharmaceutical 2.85 Bharti Airtel 2.82 DLF 2.64 Ultratech Cement 2.62 SKF India 2.45 Crompton Greaves Consumer Electricals 2.42 Avenue Superma
rts 2.41 Axis ABB 2.35 Titan Co. 2.29 Kotak Mahindra 2.09 Cipla 2.05 Laurus Labs 2.04 Wipro 1.77 Happiest Minds Technologies 1.68 Canara 1.67 Shree 1.63 1.59 Pidilite 1.50 Lombard General
Insurance 1.48 Cholamandalam Investment 1.45 Tech 1.35 State of 1.31 Hindustan Unilever 1.30 Vardhman Textiles Larsen Toubro 1.24 Dabur 1.22 Neogen Chemicals 1.10 Eicher Motors 1.09 Ther
max 1.08 TATA Consultancy Services 1.05 Indian Railway Catering Tourism 0.98 Firstsource Solutions 0.97 Nestle 0.86 Asian Paints 0.84 Welspun 0.72 IndusInd 0.63 SBI Life 0.50 Deepak Nitri
te 0.46 Adani Ports and Special Economic Zone 0.36 Gateway Distriparks 0.33 Bharat Forge 0.22 tREPS on G-Sec or t-Bills 2.81 Cash Receivables 0.32 tOtAL
'''
output = re.sub(r'\b(\d (?:\.\d )?)\b', r'\1,', inp)
print(output)
這列印：
證券名稱占凈資產的百分比* DEBENTURES 0.04, Britannia Industries Ltd. EQUity & RELAtED 96.83, HDFC Bank 6.98, ICICI 4.82, Infosys 4.37, Reliance 4.05, Bajaj Finance 3.82, Housing Developme nt Corpn. 3.23、Grindwell Norton 3.22、SRF Sun Pharmaceutical 2.85、Bharti Airtel 2.82、DLF 2.64、Ultratech Cement 2.62、SKF India 2.45、Crompton Greaves Consumer Electricals 2.42、Avenue Superma rts 2.41、Kompton Greaves Consumer Electricals 2.41、Kodrama 2.35、Mahdra 29 ABB、Kodrak 209 Cipla 2.05、Laurus Labs 2.04、Wipro 1.77、Happiest Minds Technologies 1.68、Canara 1.67、Shree 1.63、1.59、Pidilite 1.50、Lombard General Insurance 1.48、Cholamandalam Investment 1.45、Tech State of 1.67、Shree 1.59、Lombard General Insurance 1.48、Cholamandalam Investment 1.45、Tech State of 1.67、Shree 1.59、1.35 1.24, Dabur 1.22, Neogen Chemicals 1.10, Eicher Motors 1.09, Ther max 1.08, TATA Consultancy Services 1.05,
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