defread_file_to_byte_array(file_path):""" 读取指定路径的文件并返回字节数组 :param file_path: 文件路径 :return: 文件内容的字节数组 """withopen(file_path,'rb')asfile:# 以二进制模式打开文件byte_array=file.read()# 读取文件内容并转换为字节数组returnbyte_array# 返回读取到的字节数组 1. 2....
解决方案:使用文件对象的readinto()方法 示例 import os.path def read_into_buffer(filename): buf=bytearray(os.path.getsize(filename)) with open(filename,'rb') as f: f.readinto(buf) return buf #test case with open('sample.bin','wb') as f: f.write(b'helloworld') buf=read_into_bu...
为了读取数据到一个可变数组中,使用文件对象的readinto() 方法。比如 1 2 3 4 5 6 importos.path defread_into_buffer(filename): buf=bytearray(os.path.getsize(filename)) withopen(filename,'rb') as f: f.readinto(buf) returnbuf 下面是一个演示这个函数使用方法的例子: 1 2 3 4 5 6 7 8...
当我们需要读取二进制文件直接写入缓冲区,我们可以使用readinto函数进行读取写入数据 with open(test_path, "wb") as w_f: w_f.write(b'hello world') buff = None with open(test_path, mode="rb") as r_f: buff = bytearray(16) ret = r_f.readinto(buff) print(ret) print(buff) buff = ...
pythonbuffer = bytearray(1024) # 创建一个大小为1024的缓冲区 with open('file.txt', 'rb') as f: n = f.readinto(buffer) # 将文件内容读取到缓冲区中,并返回实际读取的字节数 以上是Python中常见的几种文件读取方式,具体使用哪种方式取决于实际需求。 open()函数 open() 是Python 中用于打开文件的...
Converting Bytes into ByteArray Let’s assume you are working with a read-only image and you wish to modify it, then first you need to make an editable copy. Situations like this are where our next constructor comes in. As mentioned previously, the Bytes class is just animmutableversion of...
python readinto直接读取到缓冲区 import os.path def read_into_buffer(filename): buf = bytearray(os.path.getsize(filename)) with open(filename, 'rb') as f: f.readinto(buf) return buf
(img_gray,180,255,cv2.THRESH_BINARY) # 图像 OCR 识别 text = reader.readtext(img_thresh, detail=0, batch_size=10) result_dic = information_filter(filename, img_np, "".join(text)) return result_dic # Flask 路由 - 首页 @app.route('/') @app.route('/index') def Index(): return...
with open('file.txt', 'r') as file: data = file.read() # 在离开作用域时，文件资源会...
('example.zip', 'rb') as f: zip_data = f.read() # 将 zip 数据转换为 bytea bytea_data = psycopg2.Binary(zip_data) # 插入数据到数据库 cur.execute("INSERT INTO files (name, content) VALUES (%s, %s)", ('example.zip', bytea_data)) conn.commit() # 关闭连接 cur.clo...