![]() It lists data and data subscripts simultaneously, which will be used in the for loop as in the above example. The enumerate() function is used to combine an iterable data object (such as a list, tuple, or string) into an index sequence. In this case, we might use enumerate(): with open("file.txt") as f: ![]() When reading files, a large one may cause problems such as won’t fit into memory. enumerate During Reading Specific Lines From a Large File in Python The traceback module uses it to retrieve the source lines contained in the formatted traceback. The linecache module allows you to get any line from a python source file while using the cache to optimize internally, which is a common practice of reading many lines from a single file. The string method strip() returns a string that strips white spaces from both ends. The linecache module could be used for reading many files, possible repeatedly or extracting many lines: import linecacheĭata = linecache.getline('file.txt', 10).strip() The linecache Module to Read the Specific Lines in Python Reading and Writing To Files in Python (Video 41) lines = I would use iziplongest, if you're on Python 2, instead. ![]() The for Loop in fileobject to Read Specific Lines in Pythonįor line in fileobject is also a quick solution for small files. from itertools import ziplongest files open (filename) for filename in filelist for lines in ziplongest (files, fillvalue''): print (' '.join (lines)) This should also work when the files don't have the same length. If we need to read lines from 10 to 100, with open("file.txt") as f: If we only need to read line 10, with open("file.txt") as f: It could use list slicing to read the specific lines. fileobject.readlines() to Read Specific Lines for Small-Size Fileįileobject.readlines() reads all the file content to the memory. Python has 3 built-in methods to read the specific lines from a file, as introduced in the next sections. But if the file size exceeds 100 MB, it would cause memory issues when it is read into memory. Reading a file in Python is fast for example, it takes roughly 0.67 seconds to write a 100MiB file.
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