将文本文件转换为熊猫数据框

Question

我有 .TX0 文件（某种 csv txt 文件）并已通过 python .readlines()、open(filename, 'w') 等方法将其转换为 .txt 文件。我有这个新保存的 txt 文件，但是当我尝试将其转换为数据框时，它只给了我一列。 txt文件如下：

Empty DataFrame
Columns: [ '"Software Version:", 6.3.2.0646, Date:, 19/08/2015 09:26:04\n',  '"Reprocess Number:", vma2:  261519, Unnamed: 7, \n',  '"Sample Name:",  , Data Acquisition Time:, 18/08/2015 17:23:23\n',  '"Instrument Name:", natural gas (PE ASXL-TCD/FID), Channel:, B\n',  '"Rack/Vial:", 0, 0.1, Operator:, joey.walker\n',  '"Sample Amount:", 1.000000, Dilution Factor:, 1.000000\n',  '"Cycle:", 1, Result File :, \\\\vma2\\TotalChrom\11170_he_tcd001.rst \n',  '"Sequence File :", \\\\vma\C1_C2_binary.seq \n',  '"===================================================================================================================================="\n',  '""\n',  '""\n'.1,  '"condensate analysis (HP4890 Optic - FID)"\n',  '"Peak", Component, Time, Area, Height, BL\n',  '"#", Name, [min], [uV*sec], [uV], \n'.1,  '------, ------, ------.1, ------.2, ------.3, ------\n',  '1, Unnamed: 55, 0.810, 706.42, 304.38, *BB\n',  '2, CH4, 0.900, 1113518.24, 495918.41, *BB\n'.1,  '3, C2H6, 1.373, 901670.23, 295381.12, *BB\n'.2,  '"", Unnamed: 73, Unnamed: 74, ------.4, ------.5, \n'.2,  '"".1, Unnamed: 79, Unnamed: 80, 2015894.89, 791603.91, \n'.3,  '"Missing Component Report"\n',  '"Component", Expected Retention (Calibration File)\n',  '------.1, ------\n'.1,  '"All components were found"\n',  '"Report stored in ASCII file :", C:\\Shared Folders\\TotalChrom\\11170_he_tcd001.TX0 \n']]
Index: []

为了方便阅读：

空数据框

列：['“软件版本：”，6.3.2.0646，日期：，19/08/2015 09:26:04\n', '"重新处理编号:", vma2: 261519, 未命名: 7, \n', '"样品名称:", , 数据采集时间:, 18/08/2015 17:23:23\n', '"仪器名称:", 天然气 (PE ASXL-TCD/FID), 通道:, B\n', '"Rack/Vial:", 0, 0.1, Operator:, joey.walker\n', '"样品量:", 1.000000, 稀释因子:, 1.000000\n', '"Cycle:", 1, 结果文件:, \\vma2\TotalChrom\data\Joey\Binary_Mixtures\Std1\11170_he_tcd001.rst \n', '"序列文件:", \\vma2\TotalChrom\sequences\Joey\C1_C2_binary.seq \n', '"================================================= ==================================================== ==================================="\n', '""\n', '""\ n'.1, '"冷凝水分析 (HP4890 光学 - FID)"\n', '"Peak", 分量, 时间, 面积, 高度, BL\n', '"#", Name, [min], [uV*sec], [uV], \n'.1, '------, ------, ------.1, ------.2, - -----.3， ------\n', '1, 未命名: 55, 0.810, 706.42, 304.38, *BB\n', '2, CH4, 0.900, 1113518.24, 495918.41, *BB\n'.1, '3 , C2H6, 1.373, 901670.23, 295381.12, *BB\n'.2, '"", 未命名: 73, 未命名: 74, ------.4, ------.5, \n' .2, '"".1, Unnamed: 79, Unnamed: 80, 2015894.89, 791603.91, \n'.3, '"Missing Component Report"\n', '"Component", Expected Retention (Calibration File)\n ', '-----.1, ------\n'.1, '"找到所有组件"\n', '"报告存储在 ASCII 文件中：", C:\共享 文件夹\TotalChrom\data\Joey\Binary_Mixtures\Std1\11170_he_tcd001.TX0 \n']] 索引：[]

如您所见，这是逗号分隔的。有没有办法将此文本传输到逗号分隔的数据框？

谢谢。

J

Answer 1

您可以尝试使用以下功能，它将帮助您从本地 csv 文件中加载所有数据

ps.read_csv()

更多详情请见pandas.read_csv tutorial

Answer 2

我在这里给出了这个问题的一般答案：

import re
import pandas as pd

#first u have to open  the file and seperate every line like below:

df = open('file.txt', "r")
lines = df.readlines()
df.close()

# remove /n at the end of each line
for index, line in enumerate(lines):
      lines[index] = line.strip()



#creating a dataframe(consider u want to convert your data to 2 columns)

df_result = pd.DataFrame(columns=('first_col', 'second_col'))
i = 0  
first_col = "" 
second_col = ""  
for line in lines:
    #you can use "if" and "replace" in case you had some conditions to manipulate the txt data
    if 'X' in line:
        first_col = line.replace('X', "")
    else:
        #you have to kind of define what are the values in columns,for example second column includes:
        second_col = re.sub(r' \(.*', "", line)
        #this is how you create next line data
        df_result.loc[i] = [first_col, second_col]
        i =i+1

Answer 3

您可以尝试以下代码将文本文件转换为数据框。

data = pd.read_csv('file.txt', sep=',')

希望它不言自明。

Answer 4

我刚刚找到了一个简单的解决方案，它适用于我的代码。你也可以在你的 cade 中试试这个：

f = open('glove.6B.100d.txt', encoding='utf8')