How to extract specific lines from a text file and then from these extracted line, extract the values between parantheses and put them in another file

Question

infile = open('results1', 'r')
lines = infile.readlines()
import re
for line in lines:
if re.match("track: 1,", line):
    print(line)

question solved by using python regex below

Asked By: cosmicdust

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Source

Answer 1

I suggest you use Regular Expressions library (re) which gives you all you need to extract the data from text files. I ran a simple code to solve your current problem:

import re
# Customize path as the file's address on your system
text_file = open('path/sample.txt','r')
# Read the file line by line using .readlines(), so that each line will be a continuous long string in the "file_lines" list
file_lines = text_file.readlines()

Depending on how your target is located in each line, detailed process from here on could be a little different but the overall approach is the same in every scenario.
I have assumed your only condition is that the line starts with "Id of the track" and we are looking to extract all the values between parentheses all in one place.

# A list to append extracted data
list_extracted_data = []
for line in list_lines:
# Flag is True if the line starts (special character for start: A) with 'Id of the track'
    flag = re.search('AId of the track',line)
    if flag:
        searched_phrase = re.search(r'B(.*',line)
        start_index, end_index = searched_phrase.start(), searched_phrase.end()
# Select the indices from each line as it contains our extracted data
        list_extracted_data.append(line[start_index:end_index])
        
print(list_extracted_data)

[‘(0.8835006455995176, -0.07697617837544447)’, ‘(0.8835006455995176, -0.07697617837544447)’, ‘(0.8835006455995176, -0.07697617837544447)’, ‘(0.8835006455995176, -0.07697617837544447)’, ‘(0.8755597308669424, -0.23473345870373538)’, ‘(0.8835006455995176, -0.07697617837544447)’, ‘(0.8755597308669424, -0.23473345870373538)’, ‘(6.4057079727806485, -0.6819141582566414)’, ‘(1.1815888836384334,
-0.35535274681454954)’]

you can do all sorts of things after you’ve selected the data from each line, including convert it to numerical type or separating the two numbers inside the parentheses.
I assume your intention was to add each of the numbers inside into a different column in a dataFrame:

final_df = pd.DataFrame(columns=['id','X','Y'])
for K, pair in enumerate(list_extracted_data):
    # split by comma, select the left part, exclude the '(' at the start
    this_X = float(pair.split(',')[0][1:])
    # split by comma, select the right part, exclude the ')' at the end
    this_Y = float(pair.split(',')[1][:-1])
    final_df = final_df.append({'id':K,'X':this_X,'Y':this_Y},ignore_index=True)

Answered By: Earthling

Answer 2

Given that all your target lines follow the exact same pattern, a much simpler way to extract the value between parentheses would be:

from ast import literal_eval as make_tuple
infile = open('results1', 'r')
lines = infile.readlines()
import re

for line in lines:
    if re.match("Id of the track: 1,", line):
        values_slice = line.split(": ")[-1]
        values = make_tuple(values_slice)    # stored as tuple => (0.8835006455995176, -0.07697617837544447)

Now you can use/manipulate/store the values whichever way you want.

Answered By: Karthik Sivasubramaniam

How to extract specific lines from a text file and then from these extracted line, extract the values between parantheses and put them in another file

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