Question

我正在尝试将.dat文件转换为Excel（实际上，我希望将其内容复制到Excel文件中），但是数字会粘贴为文本。我希望他们是浮游生物。

我认为我遇到的问题之一是.dat文件采用时髦的格式。

import pandas as pd

df = pd.read_csv('C:/Users/me/Desktop/specimen/spec01/specimen.dat', sep='\t')
df.to_excel('C:/Users/me/Desktop/Rebar/specimen/specimen.xlsx')

Answer 1

被引用文件的头文件过于华丽，必须对其进行处理。假设您从服务器或实验设备等无法更改的源反复接收到此文件，则可以通过编程方式处理以下内容：

MTS793|MPT|ENU|1|2|.|/|:|1|0|0|A

Operator Information                        Time:   15.133789   Sec 8/2/2018 12:18:30 PM
Is the extensometer pin pulled? ughiopuh;u
Operator Information End

Data Acquisition            Tensile Test Data           Time:   117.81934   Sec 8/2/2018 12:20:13 PM
Time    Axial Displacement  Axial Strain    Axial Force
Sec in  in/in   lbf

必须将其删除为适当的标头集，才能成功使用熊猫导入文件。

Time;Axial Displacement;Axial Strain;Axial Force
Sec in;in/in;lbf

可能是所需的标题。这将带您进入不断发展的列多索引世界。

这是一个有效的答案：

import openpyxl
import pandas as pd
import sys
if sys.version_info[0] < 3: 
    from StringIO import StringIO
else:
    from io import StringIO

csvdata = StringIO("""MTS793|MPT|ENU|1|2|.|/|:|1|0|0|A

Operator Information                        Time:   15.133789   Sec 8/2/2018 12:18:30 PM
Is the extensometer pin pulled? ughiopuh;u
Operator Information End

Data Acquisition            Tensile Test Data           Time:   117.81934   Sec 8/2/2018 12:20:13 PM
Time    Axial Displacement  Axial Strain    Axial Force
Sec in  in/in   lbf
15.372559   -0.00026854035  -0.00013428145  -3.7030973
15.472656   2.2532094e-08   -8.3925901e-05  11.109222
15.572754   -0.00026854035  -0.00011749626  3.7030623
15.672852   2.2532094e-08   -0.00011749626  -1.7583034e-05
15.772949   0.00026858543   -0.00010071108  7.4061422""")

df = pd.read_csv(csvdata, sep="\t", header=[5,6])

# Show how pandas parses the file headers
print(df.head(6))

# The columns are referenceable as a multiindex
level0 = df.columns.get_level_values(0)
level1 = df.columns.get_level_values(1)

# Set index from multiindex columns!
# But we are not going to assign this result, because 
# there is a better trick
print(df.set_index(('Time', 'Sec')))

flattened_cols = (["{} ({})".format(x,y) for x,y in zip(level0, level1)])
df.columns = flattened_cols

# The better trick
df.set_index(flattened_cols[0], inplace=True)

# show results
print(df.head(6))

# save in desired file format
df.to_excel('specimen.xlsx')

结果存入内存

            Axial Displacement (in)  Axial Strain (in/in)  Axial Force (lbf)
Time (Sec)                                                                  
15.372559             -2.685404e-04             -0.000134          -3.703097
15.472656              2.253209e-08             -0.000084          11.109222
15.572754             -2.685404e-04             -0.000117           3.703062
15.672852              2.253209e-08             -0.000117          -0.000018
15.772949              2.685854e-04             -0.000101           7.406142

xls中的结果

我应该为此提供一个直截了当的“接受的答案”！祝你好运。

使用Pandas将dat文件转换为excel-数字格式为字符串

1 个答案: