Question: import re import pandas as pd def parse _ baselight _ file ( file _ path ) : data = { 'Directory': [ ] ,
import re
import pandas as pd
def parsebaselightfilefilepath:
data
'Directory':
'Numbers':
with openfilepath, r as file:
for line in file:
match rematchrs line
if match:
directory match.group
numbers match.groupsplit
dataDirectoryappenddirectory
dataNumbersappendnumbers
df pdDataFramedata
return df
def parsexytechfilefilepath:
data
'Directory':
'Numbers':
with openfilepath, r as file:
# Skip metadata lines until "Location:" is found
for line in file:
if line.strip "Location:":
break
# Read directory paths until empty line or end of file
for line in file:
line line.strip
if line:
dataDirectoryappendline
dataNumbersappend
else:
break
df pdDataFramedata
return df
def matchframesbaselightdf xytechdf:
matcheddata
# Loop through each row in Baselight DataFrame
for idxbaselight, rowbaselight in baselightdfiterrows:
directorybaselight rowbaselightDirectory
numbersbaselight rowbaselightNumbers
# Loop through each row in Xytech DataFrame
for idxxytech, rowxytech in xytechdfiterrows:
directoryxytech rowxytechDirectory
# Check if directory paths match
if directorybaselight directoryxytech:
matcheddata.append
'Directory': directorybaselight,
'CommonFrames': numbersbaselight
# Create a DataFrame from matched data
matcheddf pdDataFramematcheddata
# Write matched data to CSV
matcheddftocsvmatchedframes.csv indexFalse
printMatched frames data saved to matchedframes.csv
return matcheddf
if namemain:
baselightfilepath UsersalexDocumentspythonProjectsBaselightexport.txt
xytechfilepath UsersalexDocumentspythonProjectsXytechtxt
baselightdf parsebaselightfilebaselightfilepath
xytechdf parsexytechfilexytechfilepath
matchframesbaselightdf xytechdf i need help
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