將 python 列表轉換為 pandas dataframe 時出現問題

Question

我有一個這樣的列表：

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']

我正在嘗試將其轉換為 dataframe 使用：

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

它創建了一個 dataframe 但是它將所有數據堆疊在一行中，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
.
.
.

當我檢查列表的長度時，它顯示 1. 這到底是什么問題？ 難道我做錯了什么？ 請幫忙

Answer 1

您的列表是一個字符串。 它應該更像這樣：

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']

然后它會工作。

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