withopen(file_path,'r',encoding='utf-8')asfile:lines=file.readlines()# 去掉换行符lines=[line.strip()forlineinlines]print(lines) 1. 2. 3. 4. 5. 6. 四、ER图表示 为了更加清晰地理解文件读取过程,我们可以用ER图表示相关的对象和关系: FILEstringpathstringencodingCONTENTstringtextcontains 在这个...
somestring ='abcd'withopen("test.bin","wb")asfile: file.write(somestring) There is nothing magical about binary files; the only difference with a file opened in text mode is that a binary file will not automatically translate\nnewlines to the line separator standard for your platform; e....
csvfile=open('./data.csv','r')reader=csv.reader(csvfile)forrowinreader:print(row) import csv将导入 Python 自带的 csv 模块。csvfile = open('./data.csv', 'r')以只读的形式打开数据文件并存储到变量csvfile中。然后调用 csv 的reader()方法将输出保存在reader变量中,再用 for 循环将数据输出。
attach(message_docx) # message_image = MIMEText(open(dir_+'\test.jpg', 'rb').read(), 'base64', 'utf8') # message_image.add_header('content-disposition', 'attachment', filename='test.jpg') # msg.attach(message_image) #发送邮件 smt_p.sendmail(sender,i,msg.as_string()) #sleep...
readline([size]) -> next line from the file, as a string. Retain newline. A non-negative size argument limits the maximum number of bytes to return (an incomplete line may be returned then). Return an empty string at EOF. """ pass def readlines(self, size=None): # real signature ...
import numpy as np import pandas as pd # 读取 txt 文件中的文本内容 with open('example.txt', 'r') as file: text = file.read() # 使用 numpy 对文本内容进行分析和处理 data = np.fromstring(text, dtype='str') # 使用 pandas 对数据进行分析和处理 df = pd.DataFrame(data) # 打印数据 ...
After a file is opened, read and write operations can be performed on the file according to the opening mode. Note that when the file is opened as a text file, read and write in string mode, using the encoding used by the current computer or the specified encoding; When the file is ...
somestring = 'abcd' with open("test.bin", "wb") as file: file.write(somestring.encode('ascii')) 1. 2. 3. 4. or you'd use a byte string literal;b'abcd'.
1. open函数语法参考 open 函数语法如下：open(file, mode='r', encoding='None', errors='None')...
with open('example.txt', 'r', encoding='utf-8') as file: for line in file: print(line, end='') # 同上 5. 使用io.StringIO(针对内存中的字符串) 虽然这不是直接从txt文件读取,但如果你手头有一个字符串,想要像操作文件一样处理它,可以使用io.StringIO。 import io # 假设有一个字符串 tex...