Python Read Large File. I tried the methods below, i find it uses a very large space of memory (~3gb) for line in open('datafile','r').readlines(): I need to read a big datafile (~1gb, >3 million lines) , line by line using a python script.
Reading Files in Python PYnative
Web best way to read large file, line by line is to use python enumerate function. This will not read the whole file into memory and it’s suitable to read large files in python. In other words, does the processing take more time than the reading? Web reading large text files in python. Ask question asked 8 years, 9 months ago modified 3 months ago viewed 484k times 306 i am trying to read a large csv file (aprox. Lineno = 500 line_length = 8 with open ('catfour.txt', 'r') as file: At example effbot suggest # file: Break for line in lines: For example abcd has line length 4. If so, you can probably speed it up with multiprocessing;
Process(line) or, for line in file(datafile): Web 1 with a file of that size, i believe the more important question is what are you doing with the data as you read it? instead of how to read it. Web i am looking if exist the fastest way to read large text file. Open (filename).read () [start_index:end_index] python parsing share improve this question follow asked mar 26, 2013 at 18:36 cerin Web best way to read large file, line by line is to use python enumerate function. Lines = file.readlines(100000) if not lines: Web i'm using python 2.6.2 [gcc 4.3.3] running on ubuntu 9.04. If so, you can probably speed it up with multiprocessing; Web 20 given a large file (hundreds of mb) how would i use python to quickly read the content between a specific start and end index within the file? Break for line in lines: With open (file_name, ru) as read_file:
