readlines

I have a text file that has the following data: 5298 10036 4 360 8 6128 11947 2 385 7 9472 18930 0 233 4 5056 9790 1 293 6 I read this file using the following code: file1 = open("test.txt","r") lines = file1.readlines() BF=[map(float, line.split()) for line in lines] This gives me the following error: could not convert string to float: ÿþ5 Why do I see this error? Update: print lines shows: ['\xff\xfe5\x002\x009\x008\x00\t\x001\x000\x000\x003\x006\x00\t\x004\x00\t\x003\x006\x000\x00\t\x008\x00\r\x00\n', '\x006\x001\x002\x008\x00\t\x001\x001\x009\x004\x007\x00\t\x002\x00\t\x003\x008\x005\x00\t

foreach (var item in ReadLines("E:\\bigFile.txt")) { Console.Write(item); } /// <summary> /// 异步读取每行内容 /// </summary> /// <param name="fileName">指定文件的绝对路径</param> /// <returns></returns> public static IEnumerable<string> ReadLines(string fileName) { return ReadLines(delegate { return File.OpenText(fileName); }); } private static IEnumerable<string> ReadLines(Func<TextReader> provider) { using (TextReader reader = provider()) { string line; while ((line = reader.ReadLine()) != null) { yield return line; } } } 来源： https://www.cnblogs.com/wesson2019-blog/p/11938313.html

为了方便以后查找，记录下平时用到的一些常用方法： 功能：比较两个TXT文件每行的指定位置 import os import time def compute_ap(input,output): with open(input,'r') as f_in: len_f = len(f_in.readlines()) print("compute_ap len_f:",len_f) with open(input,'r+') as f_in: line_1 = f_in.readlines() with open(output,'r+') as f_out: line_2 = f_out.readlines() for row in range(len_f-1): line_1_data = line_1[row].strip('\r\n').split(',') line_2_data = line_1[row].strip('\r\n').split(',') if(abs(float(line_1_data[-2])-float(line_2_data[-1]))): count_temp =count_temp + 1 f_in.close() f_out.close() 功能：读取txt文件，每次一条放入指定txt文件，并执行推理 import os,time import

I have a text file with columns of data and I need to turn these columns into individual lists or arrays. This is what I have so far f = open('data.txt', 'r') temp = [] for row in f.readlines(): Data = row.split() temp.append(float(Data[0])) When I run this I get IndexError: list index out of range . Snippet of the data below: 16 0.2000 17 0.3000 18 0.4000 20 0.5000 21 0.6000 22 0.7000 24 0.8000 25 0.9000 26 1.000 I need the first column, if possible to look like this: Data = [16, 17, 18, 20, 21, 22, 24, 25, 26] You are getting an empty list Data=[] if you read an empty row. You try to get the

This is my first ever question here and I'm new to R, trying to figure out my first step in how to do data processing, please keep it easy : ) I'm wondering what would be the best function and a useful data structure in R to load unstructured text data for further processing. For example, let's say I have a book stored as a text file, with no new line characters in it. Is it a good idea to use read.delim() and store the data in a list? Or is a character vector better, and how would I define it? Thank you in advance. PN P.S. If I use "." as my delimeter, it would treat things like "Mr." as a

In Python 2, file objects had an xreadlines() method which returned an iterator that would read the file one line at a time. In Python 3, the xreadlines() method no longer exists, and realines() still returns a list (not an iterator). Does Python 3 has something similar to xreadlines()? I know I can do for line in f: instead of for line in f.xreadlines(): But I would also like to use xreadlines() without a for loop: print(f.xreadlines()[7]) #read lines 0 to 7 and prints line 7 The file object itself is already an iterable. >>> f = open('1.txt') >>> f <_io.TextIOWrapper name='1.txt' encoding=

原文连接：https://www.runoob.com/python/file-readlines.html readlines()方法用于读取所有行(直到结束符EOF)并返回列表，该列表可以由python的for...in...结构进行处理。 如果碰到结束符EOF则返回空字符串。 实例： 文件runoob.txt的内容如下： 1:www.runoob.com1 2:www.runoob.com2 3:www.runoob.com3 4:www.runoob.com4 5:www.runoob.com5 #打开文件 fo = open("runoob.txt", "r") # 打开文件 print ("文件名为："， fo.name) # 打印文件名 for line in fo.readlines(): # 依次读取每行 　 line = line.strip() # 去掉每行头尾空白 　print ("读取的数据为：%s" %(line)) fo.close() 以上实例输出结果为： 文件名为： runoob.txt 读取的数据为： 1：www.runoob.com1 读取的数据为： 2：www.runoob.com2 读取的数据为： 3：www.runoob.com3 读取的数据为： 4：www.runoob.com4 读取的数据为： 5：www.runoob.com5