python-3.x - 如何在python中将文本字符串列表转换为pandas数据框？

Question

我有一个表示行和列的文本字符串列表，我想将其转换为 Pandas 数据框。
现在我使用文本复制粘贴到编辑器，然后将其保存为 csv 文件，然后使用 pd.read_csv() 读取它.我确信这可以以某种方式自动化。
对于可重现的示例，请考虑以下列表:

  ['Symbol,Description,Qty,Trade Price,Mark,Mark Value,P/L Day,P/L Open,P/L ', 'AXTI,AXT INC COM,+90,10.79,9.46,851.40,0.00,-119.70,-12.33', 'INTT,INTEST CORP COM,+50,5.64,5.02,251.00,0.00,-31.00,-10.99', 'ACMR,ACM RESEARCH INC COM CL A,+201,80.9374,73.20,14713.20,0.00,-1,555.21,-9.56', 'ASUR,ASURE SOFTWARE INC COM,+90,7.70,7.20,648.00,0.00,-45.00,-6.49']

Answer 1

尝试:

import io
import pandas as pd
df  = pd.read_csv(io.StringIO("""
Symbol,Description,Qty,Trade Price,Mark,Mark Value,P/L Day,P/L Open,P/L 
AXTI,AXT INC COM,+90,10.79,9.46,851.40,0.00,(119.70),-12.33
INTT,INTEST CORP COM,+50,5.64,5.02,251.00,0.00,(31.00),-10.99
ACMR,ACM RESEARCH INC COM CL A,+201,80.9374,73.20,14713.20,0.00,(1555.21),-9.56
ASUR,ASURE SOFTWARE INC COM,+90,7.70,7.20,648.00,0.00,(45.00),-6.49
"""), sep=r",", engine="python") 

打印:

 Symbol                Description  Qty  Trade Price   Mark  Mark Value  \
0   AXTI                AXT INC COM   90      10.7900   9.46       851.4   
1   INTT            INTEST CORP COM   50       5.6400   5.02       251.0   
2   ACMR  ACM RESEARCH INC COM CL A  201      80.9374  73.20     14713.2   
3   ASUR     ASURE SOFTWARE INC COM   90       7.7000   7.20       648.0   

   P/L Day   P/L Open   P/L   
0      0.0   (119.70) -12.33  
1      0.0    (31.00) -10.99  
2      0.0  (1555.21)  -9.56  
3      0.0    (45.00)  -6.49  

注意:我们正在使用 comma解析字符串的分隔符。 sep=r"," .因此，对于您的示例，我不得不从 (1,555.21) 中删除逗号。