python chunk模块

本文介绍如何利用Python的chunk模块读取和解析TIFF格式的图像文件。通过实例展示了打开TIFF文件并获取其名称和大小的方法,同时详细解释了chunk模块的工作原理和使用技巧。

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chunk模块用于读取TIFF格式的文件,打开应该使用二进制模式

TIFF 标签图像文件格式

import chunk

import chunk 

f=open('E:\\test.tiff','rb') 

print(type(f)) 

html=chunk.Chunk(f) 

print(html.getname()) 

print(html.getsize())

 

help('chunk')

Help on module chunk:

 

NAME

    chunk - Simple class to read IFF chunks.

 

DESCRIPTION

    An IFF chunk (used in formats such as AIFF, TIFF, RMFF (RealMedia File

    Format)) has the following structure:

   

    +----------------+

    | ID (4 bytes)   |

    +----------------+

    | size (4 bytes) |

    +----------------+

    | data           |

    | ...            |

    +----------------+

   

    The ID is a 4-byte string which identifies the type of chunk.

   

    The size field (a 32-bit value, encoded using big-endian byte order)

    gives the size of the whole chunk, including the 8-byte header.

   

    Usually an IFF-type file consists of one or more chunks.  The proposed

    usage of the Chunk class defined here is to instantiate an instance at

    the start of each chunk and read from the instance until it reaches

    the end, after which a new instance can be instantiated.  At the end

    of the file, creating a new instance will fail with an EOFError

    exception.

   

    Usage:

    while True:

        try:

            chunk = Chunk(file)

        except EOFError:

            break

        chunktype = chunk.getname()

        while True:

            data = chunk.read(nbytes)

            if not data:

                pass

            # do something with data

   

    The interface is file-like.  The implemented methods are:

    read, close, seek, tell, isatty.

    Extra methods are: skip() (called by close, skips to the end of the chunk),

    getname() (returns the name (ID) of the chunk)

   

    The __init__ method has one required argument, a file-like object

    (including a chunk instance), and one optional argument, a flag which

    specifies whether or not chunks are aligned on 2-byte boundaries.  The

    default is 1, i.e. aligned.

 

CLASSES

    builtins.object

        Chunk

   

    class Chunk(builtins.object)

     |  Methods defined here:

     | 

     |  __init__(self, file, align=True, bigendian=True, inclheader=False)

     |      Initialize self.  See help(type(self)) for accurate signature.

     | 

     |  close(self)

     | 

     |  getname(self)

     |      Return the name (ID) of the current chunk.

     | 

     |  getsize(self)

     |      Return the size of the current chunk.

     | 

     |  isatty(self)

     | 

     |  read(self, size=-1)

     |      Read at most size bytes from the chunk.

     |      If size is omitted or negative, read until the end

     |      of the chunk.

     | 

     |  seek(self, pos, whence=0)

     |      Seek to specified position into the chunk.

     |      Default position is 0 (start of chunk).

     |      If the file is not seekable, this will result in an error.

     | 

     |  skip(self)

     |      Skip the rest of the chunk.

     |      If you are not interested in the contents of the chunk,

     |      this method should be called so that the file points to

     |      the start of the next chunk.

     | 

     |  tell(self)

     | 

     |  ----------------------------------------------------------------------

     |  Data descriptors defined here:

     | 

     |  __dict__

     |      dictionary for instance variables (if defined)

     | 

     |  __weakref__

     |      list of weak references to the object (if defined)

 

FILE

    c:\python3.5\lib\chunk.py

 
 
摘自:
https://www.cnblogs.com/dengyg200891/p/4947685.html
 

转载于:https://www.cnblogs.com/baxianhua/p/10169665.html

### 使用Python的zlib模块进行压缩和解压 #### 数据压缩方法 在Python中,`zlib`模块提供了多种方式来进行数据压缩。最简单的方式是通过函数 `zlib.compress(data)` 来完成字符串或其他可序列化对象的数据压缩操作[^1]。 以下是基于字符串的压缩示例代码: ```python import zlib original_data = b"这是一个测试字符串,用于演示zlib模块的功能。" compressed_data = zlib.compress(original_data) print(f"原始数据长度: {len(original_data)} 字节") print(f"压缩后的数据长度: {len(compressed_data)} 字节") ``` #### 数据解压方法 对于已经压缩过的数据,可以使用 `zlib.decompress(data)` 函数将其还原为原始状态[^2]。需要注意的是,在执行解压前应确保输入数据确实是经过合法压缩处理的内容;否则可能会抛出异常或返回错误的结果。 下面是配合上述例子中的压缩部分所做的对应解压过程展示: ```python decompressed_data = zlib.decompress(compressed_data) assert original_data == decompressed_data # 验证解压后是否恢复原样 print("成功验证:解压后的数据与初始一致!") ``` #### 文件级别的压缩与解压 当面对较大的文件时,推荐采用流式的读写模式以减少内存占用并提高效率。此时可以利用更灵活的对象接口——即创建 compressor 和 decompressor 对象实例分别负责逐块处理大尺寸资料的情况[^4]。 下面是一个关于如何应用这些高级特性的具体案例: ##### 压缩文件到另一个新文件 ```python with open('source.txt', 'rb') as src_file,\ open('destination.zlib', 'wb') as dest_file: compress_obj = zlib.compressobj() while chunk := src_file.read(8192): compressed_chunk = compress_obj.compress(chunk) dest_file.write(compressed_chunk) remaining_compressed_data = compress_obj.flush() dest_file.write(remaining_compressed_data) ``` ##### 解压已有的 .zlib 文件回到普通文本形式 ```python with open('destination.zlib', 'rb') as zipped_file,\ open('unpacked_result.txt', 'wb') as result_file: decomp_obj = zlib.decompressobj() while chunk := zipped_file.read(8192): uncompressed_chunk = decomp_obj.decompress(chunk) result_file.write(uncompressed_chunk) final_uncompressed_part = decomp_obj.flush() result_file.write(final_uncompressed_part) ``` 以上就是有关于 Python 中运用 `zlib` 模块实现基本以及较为复杂的场景下对各类数据实施有效率高的压缩跟释放策略介绍[^3]。
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