Python 将文本文件转换为数据帧
我有.TX0文件(某种csv txt文件),并通过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,但当我试图将其转换为数据帧时,它只给我一列。txt文件如下所示:Python 将文本文件转换为数据帧,python,pandas,readlines,Python,Pandas,Readlines,我有.TX0文件(某种csv txt文件),并通过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,但当我试图将其转换为数据帧时,它只给我一列。txt文件如下所示: Empty DataFrame Columns: [ '"Software Version:", 6.3.2.0646, Date:, 19/08/2015 09:26:04\n', '"Reprocess Number:", vma2: 2615
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: []
为了便于阅读:
空数据帧
列:['“软件版本:”,6.3.2.0646,日期:2015年8月19日
09:26:04\n',““再处理编号:”,vma2:261519,未命名:7,\n',
“样本名称:”,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“,
““支架/小瓶:”,0,0.1,操作员:,joey.walker\n“,““样本量:”,
1.000000,稀释系数:,1.000000\n',“循环:”,1,结果文件:,\\vma2\TotalChrom\data\Joey\Binary\u Mixels\Std1\11170\u he\u tcd001.rst
\序列文件:“,
\\vma2\TotalChrom\sequences\Joey\C1_C2_binary.seq\n',
“====================================================================================================================================================================================================================================================================================================”\n',“\n'”\n',“\n',“\n'''''''''==============================================================================================================================================================================================================================================================================,
“‘峰值’、分量、时间、面积、高度、BL\n’、“#”、名称、[min],
[uV*秒]、[uV]、\n'.1、'-、'-、'-、'-.1、'-.2、'-.3、,
------\n',1,未命名:55,0.810,706.42,304.38,*BB\n',2,CH4,0.900,1113518.24495918.41,*BB\n'.1',3,C2H6,1.373,901670.23295381.12,*BB\n'.2',未命名:73,未命名:74,--.4,--.5,*n'.2','.1,未命名:79,未命名:802015894.89,791603.91,'.3',缺失组件报告'',预期保留期(校准文件)\n','-.1,--\n'.1,
““找到了所有组件”\n“,”存储在ASCII文件中的报告:”,
C:\Shared
文件夹\TotalChrom\data\Joey\Binary\u mixes\Std1\11170\u he\u 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帧
谢谢
J您可以尝试使用以下功能,它将帮助您从本地csv文件加载所有数据
ps.read_csv()
更多详细信息请参见您可以尝试以下代码将文本文件转换为数据帧
data = pd.read_csv('file.txt', sep=',')
希望它是不言自明的。我对这个问题给出了一个一般性的答案:
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
问题是因为它将文本文件视为一列,因此无法从中构造数据帧。有没有办法将文本文件拆分为逗号分隔的列和行?