将 python 列表转换为 pandas dataframe 时出现问题

Question

我有一个这样的列表：

highlights=
['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 De
velopment 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 Supermarts 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, Pid
ilite 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 Chem
icals 1.10, Eicher Motors 1.09, Thermax 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 0.7
2, IndusInd 0.63, SBI Life 0.50, Deepak Nitrite 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 Receiva
bles 0.32, tOtAL']

我正在尝试将其转换为 dataframe 使用：

df = pd.DataFrame([highlights], columns=['C-Names'])
print(df)

它创建了一个 dataframe 但是它将所有数据堆叠在一行中，如下所示：

                                       C-Names
0  Security Name % to Net Assets* DEBENtURES 0.04
1  Axis ABB 2.35
2 Lombard General Insurance 1.48
.
.
.

当我检查列表的长度时，它显示 1. 这到底是什么问题？ 难道我做错了什么？ 请帮忙

Answer 1

您的列表是一个字符串。 它应该更像这样：

highlights = ['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']

然后它会工作。

df = pd.DataFrame(highlights)

df
    0
0   Security Name % to Net Assets* DEBENtURES 0.04
1   Britannia Industries Ltd. EQUity & RELAtED 96.83
2   HDFC Bank 6.98, ICICI 4.82, Infosys 4.37
3   R|eliance 4.05