Question: import re import pandas as pd def parse _ baselight _ file ( file _ path ) : data = { 'Directory': [ ] ,

import re
import pandas as pd
def parse_baselight_file(file_path):
data ={
'Directory': [],
'Numbers': []
}
with open(file_path, 'r') as file:
for line in file:
match = re.match(r'(.+)\s(.+)', line)
if match:
directory = match.group(1)
numbers = match.group(2).split()
data['Directory'].append(directory)
data['Numbers'].append(numbers)
df = pd.DataFrame(data)
return df
def parse_xytech_file(file_path):
data ={
'Directory': [],
'Numbers': []
}
with open(file_path, '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:
data['Directory'].append(line)
data['Numbers'].append([])
else:
break
df = pd.DataFrame(data)
return df
def match_frames(baselight_df, xytech_df):
matched_data =[]
# Loop through each row in Baselight DataFrame
for idx_baselight, row_baselight in baselight_df.iterrows():
directory_baselight = row_baselight['Directory']
numbers_baselight = row_baselight['Numbers']
# Loop through each row in Xytech DataFrame
for idx_xytech, row_xytech in xytech_df.iterrows():
directory_xytech = row_xytech['Directory']
# Check if directory paths match
if directory_baselight == directory_xytech:
matched_data.append({
'Directory': directory_baselight,
'CommonFrames': numbers_baselight
})
# Create a DataFrame from matched data
matched_df = pd.DataFrame(matched_data)
# Write matched data to CSV
matched_df.to_csv('matched_frames.csv', index=False)
print("Matched frames data saved to matched_frames.csv")
return matched_df
if __name__=="__main__":
baselight_file_path ="/Users/alex/Documents/pythonProjects/Baselight_export.txt"
xytech_file_path ="/Users/alex/Documents/pythonProjects/Xytech.txt"
baselight_df = parse_baselight_file(baselight_file_path)
xytech_df = parse_xytech_file(xytech_file_path)
match_frames(baselight_df, xytech_df) i need help

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