""" 文件操作 代码示例 """ file = open("file.txt", "r", encoding="UTF-8") print(type(file)) # <class '_io.TextIOWrapper'> print("read 函数读取文件所有内容: ") # 读取文件所有内容 lines = file.readlines() for line in lines: print(line) 执行结果 : 代码语言:javascript 代码运行次...
with open("data.txt","r") as myfile:forlineinmyfile: listOfLines.append(line.strip())print(listOfLines)print("***Read file line by line using with open() and while loop ***")#Open filewith open("data.txt","r") as fileHandler:#Read next lineline =fileHandler.readline()#check...
import pandas as pd all_lines=pd.read_csv('myfile.txt',header=None) print(all_lines) 以上代码使用pandas的read_csv()函数读取文本文件中的所有行,并将其存储在DataFrame对象中。需要注意的是,由于read_csv()函数默认使用首行作为列名,因此需要将header参数设置为None。 回复 1楼 2024-04-02 09:55 ...
with open(filePath, "rb") as f: string = f.read() return string def readLinesFromFile(filePath): """ 从文件中读取字符串列表list param filePath: 文件路径 return lines : 文本字符串列表 """ with open(filePath, "rb") as f: lines = f.readlines() return lines def writeStrToFile(file...
for line in lines: print (line) csv模块写入文件: import csv with open('test.csv','w+') as myFile: myWriter=csv.writer(myFile) # writerrow一行一行写入 myWriter.writerow([7,8,9]) myWriter.writerow([8,'h','f']) # writerow多行写入 ...
reader = csv.reader(file) lines = [line for line in reader] reversed_lines = lines[::-1] for line in reversed_lines: print(line) 这段代码首先使用csv.reader方法将文件内容转换为列表形式,然后将列表反转,并按照倒序打印出来。请确保你已经安装了Python的csv模块。
defread_lines(file_name,lines):withopen(file_name,'r')asf:foriinrange(lines):line=f.readline()ifline:print(line)else:break 1. 2. 3. 4. 5. 6. 7. 8. 使用readline()方法可以按行读取文件的内容。上述代码中,我们定义了一个函数read_lines(file_name, lines),它接受两个参数:文件名和要读取...
lines = file.readlines()读取文件的示例代码如下：file = open("test.txt", "r") content = file...
def readlines(self, size=None): # real signature unknown; restored from __doc__ 读取所有数据,并根据换行保存值列表 """readlines([size]) -> list of strings, each a line from the file. Call readline() repeatedly and return a list of the lines so read. ...
defread_lines(file_path):withopen(file_path,'r')asfile:forlineinfile:yieldline.strip()try:forlineinread_lines('data.txt'):print(line)exceptFileNotFoundError:print("Error: File not found.")exceptIOError:print("Error: An I/O error occurred.") ...