Python: line = f. readlines () method to remove \ n in line, pythonf. readlines
Test code
#!/ust/bin/env python3f = open("name.txt")date = f.readlines()print(date)f.close()
# Result:
# ['Eray \ n', 'eray \ n', 'bike \ n']
# How do I remove the
Today, when I learned to read a file, I found that the open file was displayed in two lines for the size of the default box, remembering how many words identifier a line in Python readlines () function. So I looked up some information to understand
"Go from: Http://www.ibm.com/developerworks/cn/linux/sdk/python/python-5/index.html#N1004E"
When we talk about "text processing", we usually refer to what we are dealing with. Python is easy to read the contents of a text file into a string variable
When we talk about "text processing", we usually refer to what we are dealing with. Python is easy to read the contents of a text file into a string variable that can be manipulated. The file object provides three read methods:. Read (),. ReadLine ()
The contents of the file Runoob.txt are as follows:
1:www.runoob.com2:www.runoob.com3:www.runoob.com4:www.runoob.com5:www.runoob.com
To iterate through the contents of a file:#!/usr/bin/python#-*-coding:utf-8-*-#Open FileFO = open
The ReadLines () method is used to read all rows (until the Terminator is EOF) and return the list, which can be made by Python for ... in ... The structure is processed and if the Terminator is encountered, an empty string is returned, and the
When I recently processed a text document (about 2GB of file size), memoryerror errors and slow file reads, we found two methods for faster large file Reading, and this article describes both of these reading methods.
Preliminary
When we talk about
In view of the non-persistent and capacity constraints of the memory, an effective data processing tool must be able to use external data: be able to obtain a large amount of data from the outside, and be able to save the processing results. R
► Reading a data frame or matrix from a file
You can use Read.table () to read the data frame.
> Z
> Z
Name Age1
John 252
Mary 283
Jim 19
Note: the scan () does not read the data frame correctly because the values and characters in this file are
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