Python自动化运维之10、模块之json、pickle、XML、PyYAML、configparser、shutil

序列化

Python中用于序列化的两个模块

json 用于【字符串】和【python基本数据类型】间进行转换
pickle 用于【python特有的类型】和【python基本数据类型】间进行转换

Json模块提供了四个功能：dumps、dump、loads、load

pickle模块提供了四个功能：dumps、dump、loads、load

json模块

# json()将字符串形式的列表或字典转换为list或dict类型，json是所有语言相互通信的方式
# 注意外层字符形式一定是''单引号,'{"a":"xiao","b":"xiao"}'列表或字典中的字符串一定要""双引号,否则报错

import json

# json.dumps() 将python基本数据类型转化成字符串形式

dic = {'k1':'v1'}

print(dic,type(dic))

result = json.dumps(dic)

print(result,type(result))

# json.loads() 将python字符串形式转化成基本数据类型

s = '{"k1":123}'

dic = json.loads(s)

print(dic,type(dic))

# json.dump() 先序列化，再写入文件

li = [11,22,33]

json.dump(li,open('db','w'))

# json.load() 读取文件反序列化

l = json.load(open('db','r'))

print(l,type(l))

pickle模块　　

pickple只有python才能用,用于复杂类型的序列化,(如果是序列化一个对象,在别的模块中反序列化的时候一定要导入该对象所属的类,否则报错)

import pickle

# pickle.dumps() 序列化

li = [11,22,33]

r = pickle.dumps(li)

print(r)

# pickle.loads() 反序列化

result = pickle.loads(r)

print(result,type(result))

# pickle.dump() 先序列化，再写入文件

l1 = [11,22,33,55]

pickle.dump(l1,open('db','wb'))

# pickle.load() 读取文件反序列化

result1 = pickle.load(open('db','rb'))

print(result1,type(result1))

XML模块　　

xml是实现不同语言或程序之间进行数据交换的协议，跟json差不多，但json使用起来更简单，不过，古时候，在json还没诞生的黑暗年代，大家只能选择用xml呀，至今很多传统公司如金融行业的很多系统的接口还主要是xml，XML文件格式如下：

<data>

    <country name="Liechtenstein">

        <rank updated="yes">2</rank>

        <year>2023</year>

        <gdppc>141100</gdppc>

        <neighbor direction="E" name="Austria" />

        <neighbor direction="W" name="Switzerland" />

    </country>

    <country name="Singapore">

        <rank updated="yes">5</rank>

        <year>2026</year>

        <gdppc>59900</gdppc>

        <neighbor direction="N" name="Malaysia" />

    </country>

    <country name="Panama">

        <rank updated="yes">69</rank>

        <year>2026</year>

        <gdppc>13600</gdppc>

        <neighbor direction="W" name="Costa Rica" />

        <neighbor direction="E" name="Colombia" />

    </country>

</data>

1、解析XML两种方法

(1)利用ElementTree.XML将字符串解析成xml对象

from xml.etree import ElementTree as ET

# 打开文件，读取XML内容

str_xml = open('xo.xml', 'r').read()

# 将字符串解析成xml特殊对象，root代指xml文件的根节点

root = ET.XML(str_xml)

(2)利用ElementTree.parse将文件直接解析成xml对象　　

from xml.etree import ElementTree as ET

# 直接解析xml文件

tree = ET.parse("xo.xml")

# 获取xml文件的根节点

root = tree.getroot()

2、操作XML　　

XML格式类型是节点嵌套节点，对于每一个节点均有以下功能，以便对当前节点进行操作：

class Element:

    """An XML element.

    This class is the reference implementation of the Element interface.

    An element's length is its number of subelements.  That means if you

    want to check if an element is truly empty, you should check BOTH

    its length AND its text attribute.

    The element tag, attribute names, and attribute values can be either

    bytes or strings.

    *tag* is the element name.  *attrib* is an optional dictionary containing

    element attributes. *extra* are additional element attributes given as

    keyword arguments.

    Example form:

        <tag attrib>text<child/>...</tag>tail

    """

    当前节点的标签名

    tag = None

    """The element's name."""

    当前节点的属性

    attrib = None

    """Dictionary of the element's attributes."""

    当前节点的内容

    text = None

    """

    Text before first subelement. This is either a string or the value None.

    Note that if there is no text, this attribute may be either

    None or the empty string, depending on the parser.

    """

    tail = None

    """

    Text after this element's end tag, but before the next sibling element's

    start tag.  This is either a string or the value None.  Note that if there

    was no text, this attribute may be either None or an empty string,

    depending on the parser.

    """

    def __init__(self, tag, attrib={}, **extra):

        if not isinstance(attrib, dict):

            raise TypeError("attrib must be dict, not %s" % (

                attrib.__class__.__name__,))

        attrib = attrib.copy()

        attrib.update(extra)

        self.tag = tag

        self.attrib = attrib

        self._children = []

    def __repr__(self):

        return "<%s %r at %#x>" % (self.__class__.__name__, self.tag, id(self))

    def makeelement(self, tag, attrib):

        创建一个新节点

        """Create a new element with the same type.

        *tag* is a string containing the element name.

        *attrib* is a dictionary containing the element attributes.

        Do not call this method, use the SubElement factory function instead.

        """

        return self.__class__(tag, attrib)

    def copy(self):

        """Return copy of current element.

        This creates a shallow copy. Subelements will be shared with the

        original tree.

        """

        elem = self.makeelement(self.tag, self.attrib)

        elem.text = self.text

        elem.tail = self.tail

        elem[:] = self

        return elem

    def __len__(self):

        return len(self._children)

    def __bool__(self):

        warnings.warn(

            "The behavior of this method will change in future versions.  "

            "Use specific 'len(elem)' or 'elem is not None' test instead.",

            FutureWarning, stacklevel=2

            )

        return len(self._children) != 0 # emulate old behaviour, for now

    def __getitem__(self, index):

        return self._children[index]

    def __setitem__(self, index, element):

        # if isinstance(index, slice):

        #     for elt in element:

        #         assert iselement(elt)

        # else:

        #     assert iselement(element)

        self._children[index] = element

    def __delitem__(self, index):

        del self._children[index]

    def append(self, subelement):

        为当前节点追加一个子节点

        """Add *subelement* to the end of this element.

        The new element will appear in document order after the last existing

        subelement (or directly after the text, if it's the first subelement),

        but before the end tag for this element.

        """

        self._assert_is_element(subelement)

        self._children.append(subelement)

    def extend(self, elements):

        为当前节点扩展 n 个子节点

        """Append subelements from a sequence.

        *elements* is a sequence with zero or more elements.

        """

        for element in elements:

            self._assert_is_element(element)

        self._children.extend(elements)

    def insert(self, index, subelement):

        在当前节点的子节点中插入某个节点，即：为当前节点创建子节点，然后插入指定位置

        """Insert *subelement* at position *index*."""

        self._assert_is_element(subelement)

        self._children.insert(index, subelement)

    def _assert_is_element(self, e):

        # Need to refer to the actual Python implementation, not the

        # shadowing C implementation.

        if not isinstance(e, _Element_Py):

            raise TypeError('expected an Element, not %s' % type(e).__name__)

    def remove(self, subelement):

        在当前节点在子节点中删除某个节点

        """Remove matching subelement.

        Unlike the find methods, this method compares elements based on

        identity, NOT ON tag value or contents.  To remove subelements by

        other means, the easiest way is to use a list comprehension to

        select what elements to keep, and then use slice assignment to update

        the parent element.

        ValueError is raised if a matching element could not be found.

        """

        # assert iselement(element)

        self._children.remove(subelement)

    def getchildren(self):

        获取所有的子节点（废弃）

        """(Deprecated) Return all subelements.

        Elements are returned in document order.

        """

        warnings.warn(

            "This method will be removed in future versions.  "

            "Use 'list(elem)' or iteration over elem instead.",

            DeprecationWarning, stacklevel=2

            )

        return self._children

    def find(self, path, namespaces=None):

        获取第一个寻找到的子节点

        """Find first matching element by tag name or path.

        *path* is a string having either an element tag or an XPath,

        *namespaces* is an optional mapping from namespace prefix to full name.

        Return the first matching element, or None if no element was found.

        """

        return ElementPath.find(self, path, namespaces)

    def findtext(self, path, default=None, namespaces=None):

        获取第一个寻找到的子节点的内容

        """Find text for first matching element by tag name or path.

        *path* is a string having either an element tag or an XPath,

        *default* is the value to return if the element was not found,

        *namespaces* is an optional mapping from namespace prefix to full name.

        Return text content of first matching element, or default value if

        none was found.  Note that if an element is found having no text

        content, the empty string is returned.

        """

        return ElementPath.findtext(self, path, default, namespaces)

    def findall(self, path, namespaces=None):

        获取所有的子节点

        """Find all matching subelements by tag name or path.

        *path* is a string having either an element tag or an XPath,

        *namespaces* is an optional mapping from namespace prefix to full name.

        Returns list containing all matching elements in document order.

        """

        return ElementPath.findall(self, path, namespaces)

    def iterfind(self, path, namespaces=None):

        获取所有指定的节点，并创建一个迭代器（可以被for循环）

        """Find all matching subelements by tag name or path.

        *path* is a string having either an element tag or an XPath,

        *namespaces* is an optional mapping from namespace prefix to full name.

        Return an iterable yielding all matching elements in document order.

        """

        return ElementPath.iterfind(self, path, namespaces)

    def clear(self):

        清空节点

        """Reset element.

        This function removes all subelements, clears all attributes, and sets

        the text and tail attributes to None.

        """

        self.attrib.clear()

        self._children = []

        self.text = self.tail = None

    def get(self, key, default=None):

        获取当前节点的属性值

        """Get element attribute.

        Equivalent to attrib.get, but some implementations may handle this a

        bit more efficiently.  *key* is what attribute to look for, and

        *default* is what to return if the attribute was not found.

        Returns a string containing the attribute value, or the default if

        attribute was not found.

        """

        return self.attrib.get(key, default)

    def set(self, key, value):

        为当前节点设置属性值

        """Set element attribute.

        Equivalent to attrib[key] = value, but some implementations may handle

        this a bit more efficiently.  *key* is what attribute to set, and

        *value* is the attribute value to set it to.

        """

        self.attrib[key] = value

    def keys(self):

        获取当前节点的所有属性的 key

        """Get list of attribute names.

        Names are returned in an arbitrary order, just like an ordinary

        Python dict.  Equivalent to attrib.keys()

        """

        return self.attrib.keys()

    def items(self):

        获取当前节点的所有属性值，每个属性都是一个键值对

        """Get element attributes as a sequence.

        The attributes are returned in arbitrary order.  Equivalent to

        attrib.items().

        Return a list of (name, value) tuples.

        """

        return self.attrib.items()

    def iter(self, tag=None):

        在当前节点的子孙中根据节点名称寻找所有指定的节点，并返回一个迭代器（可以被for循环）。

        """Create tree iterator.

        The iterator loops over the element and all subelements in document

        order, returning all elements with a matching tag.

        If the tree structure is modified during iteration, new or removed

        elements may or may not be included.  To get a stable set, use the

        list() function on the iterator, and loop over the resulting list.

        *tag* is what tags to look for (default is to return all elements)

        Return an iterator containing all the matching elements.

        """

        if tag == "*":

            tag = None

        if tag is None or self.tag == tag:

            yield self

        for e in self._children:

            yield from e.iter(tag)

    # compatibility

    def getiterator(self, tag=None):

        # Change for a DeprecationWarning in 1.4

        warnings.warn(

            "This method will be removed in future versions.  "

            "Use 'elem.iter()' or 'list(elem.iter())' instead.",

            PendingDeprecationWarning, stacklevel=2

        )

        return list(self.iter(tag))

    def itertext(self):

        在当前节点的子孙中根据节点名称寻找所有指定的节点的内容，并返回一个迭代器（可以被for循环）。

        """Create text iterator.

        The iterator loops over the element and all subelements in document

        order, returning all inner text.

        """

        tag = self.tag

        if not isinstance(tag, str) and tag is not None:

            return

        if self.text:

            yield self.text

        for e in self:

            yield from e.itertext()

            if e.tail:

                yield e.tail

由于每个节点都具有以上的方法，并且在上一步骤中解析时均得到了root（xml文件的根节点），so 可以利用以上方法进行操作xml文件。

(1)遍历XML文档的所有内容

from xml.etree import ElementTree as ET

############ 解析方式一 ############

"""

# 打开文件，读取XML内容

str_xml = open('xo.xml', 'r').read()

# 将字符串解析成xml特殊对象，root代指xml文件的根节点

root = ET.XML(str_xml)

"""

############ 解析方式二 ############

# 直接解析xml文件

tree = ET.parse("xo.xml")

# 获取xml文件的根节点

root = tree.getroot()

### 操作

# 顶层标签

print(root.tag)

# 遍历XML文档的第二层

for child in root:

    # 第二层节点的标签名称和标签属性

    print(child.tag, child.attrib)

    # 遍历XML文档的第三层

    for i in child:

        # 第二层节点的标签名称和内容

        print(i.tag,i.text)

(2)遍历XML中指定的节点　

from xml.etree import ElementTree as ET

############ 解析方式一 ############

"""

# 打开文件，读取XML内容

str_xml = open('xo.xml', 'r').read()

# 将字符串解析成xml特殊对象，root代指xml文件的根节点

root = ET.XML(str_xml)

"""

############ 解析方式二 ############

# 直接解析xml文件

tree = ET.parse("xo.xml")

# 获取xml文件的根节点

root = tree.getroot()

### 操作

# 顶层标签

print(root.tag)

# 遍历XML中所有的year节点

for node in root.iter('year'):

    # 节点的标签名称和内容

    print(node.tag, node.text)

(3)修改节点内容

由于修改的节点时，均是在内存中进行，其不会影响文件中的内容。所以，如果想要修改，则需要重新将内存中的内容写到文件。

解析字符串方式，修改，保存

from xml.etree import ElementTree as ET

############ 解析方式一 ############

# 打开文件，读取XML内容

str_xml = open('xo.xml', 'r').read()

# 将字符串解析成xml特殊对象，root代指xml文件的根节点

root = ET.XML(str_xml)

############ 操作 ############

# 顶层标签

print(root.tag)

# 循环所有的year节点

for node in root.iter('year'):

    # 将year节点中的内容自增一

    new_year = int(node.text) + 1

    node.text = str(new_year)

    # 设置属性

    node.set('name', 'alex')

    node.set('age', '18')

    # 删除属性

    del node.attrib['name']

############ 保存文件 ############

tree = ET.ElementTree(root)

tree.write("newnew.xml", encoding='utf-8')

解析文件方式，修改，保存

from xml.etree import ElementTree as ET

############ 解析方式二 ############

# 直接解析xml文件

tree = ET.parse("xo.xml")

# 获取xml文件的根节点

root = tree.getroot()

############ 操作 ############

# 顶层标签

print(root.tag)

# 循环所有的year节点

for node in root.iter('year'):

    # 将year节点中的内容自增一

    new_year = int(node.text) + 1

    node.text = str(new_year)

    # 设置属性

    node.set('name', 'alex')

    node.set('age', '18')

    # 删除属性

    del node.attrib['name']

############ 保存文件 ############

tree.write("newnew.xml", encoding='utf-8')

解析文件方式，修改，保存

(4)删除节点　　

解析字符串方式打开，删除，保存

from xml.etree import ElementTree as ET

############ 解析字符串方式打开 ############

# 打开文件，读取XML内容

str_xml = open('xo.xml', 'r').read()

# 将字符串解析成xml特殊对象，root代指xml文件的根节点

root = ET.XML(str_xml)

############ 操作 ############

# 顶层标签

print(root.tag)

# 遍历data下的所有country节点

for country in root.findall('country'):

    # 获取每一个country节点下rank节点的内容

    rank = int(country.find('rank').text)

    if rank > 50:

        # 删除指定country节点

        root.remove(country)

############ 保存文件 ############

tree = ET.ElementTree(root)

tree.write("newnew.xml", encoding='utf-8')

解析文件方式打开，删除，保存

from xml.etree import ElementTree as ET

############ 解析文件方式 ############

# 直接解析xml文件

tree = ET.parse("xo.xml")

# 获取xml文件的根节点

root = tree.getroot()

############ 操作 ############

# 顶层标签

print(root.tag)

# 遍历data下的所有country节点

for country in root.findall('country'):

    # 获取每一个country节点下rank节点的内容

    rank = int(country.find('rank').text)

    if rank > 50:

        # 删除指定country节点

        root.remove(country)

############ 保存文件 ############

tree.write("newnew.xml", encoding='utf-8')

3、创建XML文档

创建方式（一）

from xml.etree import ElementTree as ET

# 创建根节点

root = ET.Element("famliy")

# 创建节点大儿子

son1 = ET.Element('son', {'name': '儿1'})

# 创建小儿子

son2 = ET.Element('son', {"name": '儿2'})

# 在大儿子中创建两个孙子

grandson1 = ET.Element('grandson', {'name': '儿11'})

grandson2 = ET.Element('grandson', {'name': '儿12'})

son1.append(grandson1)

son1.append(grandson2)

# 把儿子添加到根节点中

root.append(son1)

root.append(son1)

tree = ET.ElementTree(root)

tree.write('oooo.xml',encoding='utf-8', short_empty_elements=False)

创建方式（一）　　

from xml.etree import ElementTree as ET

# 创建根节点

root = ET.Element("famliy")

# 创建大儿子

# son1 = ET.Element('son', {'name': '儿1'})

son1 = root.makeelement('son', {'name': '儿1'})

# 创建小儿子

# son2 = ET.Element('son', {"name": '儿2'})

son2 = root.makeelement('son', {"name": '儿2'})

# 在大儿子中创建两个孙子

# grandson1 = ET.Element('grandson', {'name': '儿11'})

grandson1 = son1.makeelement('grandson', {'name': '儿11'})

# grandson2 = ET.Element('grandson', {'name': '儿12'})

grandson2 = son1.makeelement('grandson', {'name': '儿12'})

son1.append(grandson1)

son1.append(grandson2)

# 把儿子添加到根节点中

root.append(son1)

root.append(son1)

tree = ET.ElementTree(root)

tree.write('oooo.xml',encoding='utf-8', short_empty_elements=False)

创建方式（一）

from xml.etree import ElementTree as ET

# 创建根节点

root = ET.Element("famliy")

# 创建节点大儿子

son1 = ET.SubElement(root, "son", attrib={'name': '儿1'})

# 创建小儿子

son2 = ET.SubElement(root, "son", attrib={"name": "儿2"})

# 在大儿子中创建一个孙子

grandson1 = ET.SubElement(son1, "age", attrib={'name': '儿11'})

grandson1.text = '孙子'

et = ET.ElementTree(root)  #生成文档对象

et.write("test.xml", encoding="utf-8", xml_declaration=True, short_empty_elements=False)

由于原生保存的XML时默认无缩进，如果想要设置缩进的话，需要修改保存方式：

from xml.etree import ElementTree as ET

from xml.dom import minidom

def prettify(elem):

    """将节点转换成字符串，并添加缩进。

    """

    rough_string = ET.tostring(elem, 'utf-8')

    reparsed = minidom.parseString(rough_string)

    return reparsed.toprettyxml(indent="\t")

# 创建根节点

root = ET.Element("famliy")

# 创建大儿子

# son1 = ET.Element('son', {'name': '儿1'})

son1 = root.makeelement('son', {'name': '儿1'})

# 创建小儿子

# son2 = ET.Element('son', {"name": '儿2'})

son2 = root.makeelement('son', {"name": '儿2'})

# 在大儿子中创建两个孙子

# grandson1 = ET.Element('grandson', {'name': '儿11'})

grandson1 = son1.makeelement('grandson', {'name': '儿11'})

# grandson2 = ET.Element('grandson', {'name': '儿12'})

grandson2 = son1.makeelement('grandson', {'name': '儿12'})

son1.append(grandson1)

son1.append(grandson2)

# 把儿子添加到根节点中

root.append(son1)

root.append(son1)

raw_str = prettify(root)

f = open("xxxoo.xml",'w',encoding='utf-8')

f.write(raw_str)

f.close()

4、命名空间

详细介绍，猛击这里

from xml.etree import ElementTree as ET

ET.register_namespace('com',"http://www.company.com") #some name

# build a tree structure

root = ET.Element("{http://www.company.com}STUFF")

body = ET.SubElement(root, "{http://www.company.com}MORE_STUFF", attrib={"{http://www.company.com}hhh": "123"})

body.text = "STUFF EVERYWHERE!"

# wrap it in an ElementTree instance, and save as XML

tree = ET.ElementTree(root)

tree.write("page.xml",

           xml_declaration=True,

           encoding='utf-8',

           method="xml")

PyYAML模块

Python也可以很容易的处理ymal文档格式，只不过需要安装一个模块，参考文档：http://pyyaml.org/wiki/PyYAMLDocumentation

configparser模块

configparser用于处理特定格式的文件如有键值对[]等，其本质上是利用open来操作文件。

# 注释1

;  注释2

[section1] # 节点

k1 = v1    # 值

k2:v2       # 值

[section2] # 节点

k1 = v1    # 值

1、获取所有节点　　

import configparser

config = configparser.ConfigParser()

config.read('xxxooo', encoding='utf-8')

ret = config.sections()

print(ret)

2、获取指定节点下所有的键值对

import configparser

config = configparser.ConfigParser()

config.read('xxxooo', encoding='utf-8')

ret = config.items('section1')

print(ret)

3、获取指定节点下所有的建

import configparser

config = configparser.ConfigParser()

config.read('xxxooo', encoding='utf-8')

ret = config.options('section1')

print(ret)

4、获取指定节点下指定key的值

import configparser

config = configparser.ConfigParser()

config.read('xxxooo', encoding='utf-8')

v = config.get('section1', 'k1')

# v = config.getint('section1', 'k1')

# v = config.getfloat('section1', 'k1')

# v = config.getboolean('section1', 'k1')

print(v)

5、检查、删除、添加节点

import configparser

config = configparser.ConfigParser()

config.read('xxxooo', encoding='utf-8')

# 检查

has_sec = config.has_section('section1')

print(has_sec)

# 添加节点

config.add_section("SEC_1")

config.write(open('xxxooo', 'w'))

# 删除节点

config.remove_section("SEC_1")

config.write(open('xxxooo', 'w'))

6、检查、删除、设置指定组内的键值对

import configparser

config = configparser.ConfigParser()

config.read('xxxooo', encoding='utf-8')

# 检查

has_opt = config.has_option('section1', 'k1')

print(has_opt)

# 删除

config.remove_option('section1', 'k1')

config.write(open('xxxooo', 'w'))

# 设置

config.set('section1', 'k10', "123")

config.write(open('xxxooo', 'w'))

shutil模块

高级的文件、文件夹、压缩包处理模块，注意当前用户要是对其他文件或目录没有权限会报错

shutil.copyfileobj(fsrc, fdst[, length]) 将文件内容拷贝到另一个文件中

import shutil

shutil.copyfileobj(open('/etc/passwd','r'), open('password', 'w'))

shutil.copyfile(src, dst) 拷贝文件　　

import shutil

shutil.copyfile('/etc/passwd','password1')

shutil.ignore_patterns(*patterns) 忽略某些文件
shutil.copytree(src, dst, symlinks=False, ignore=None) 递归的去拷贝文件夹

import shutil

shutil.copytree('/etc','etc', ignore=shutil.ignore_patterns('*.conf', 'tmp*'))

shutil.rmtree(path[, ignore_errors[, onerror]]) 递归删除文件夹　　

import shutil

shutil.rmtree('etc')

shutil.move(src, dst) 它类似mv命令，其实就是重命名。　　

import shutil

shutil.move('folder1', 'folder3')

shutil.make_archive(base_name, format,...) 创建压缩包并返回文件路径，例如：zip、tar

创建压缩包并返回文件路径，例如：zip、tar

base_name：压缩包的文件名，也可以是压缩包的路径。只是文件名时，则保存至当前目录，否则保存至指定路径，
如：www =>保存至当前路径
如：/Users/wupeiqi/www =>保存至/Users/wupeiqi/
format：压缩包种类，“zip”, “tar”, “bztar”，“gztar”
root_dir：要压缩的文件夹路径（默认当前目录）
owner：用户，默认当前用户
group：组，默认当前组
logger：用于记录日志，通常是logging.Logger对象

import shutil

#将 /home/tomcat/ 下的文件打包放置当前程序目录

ret = shutil.make_archive("test", 'gztar', root_dir='/home/tomcat/')

#将 /home/tomcat/ 下的文件打包放置 /home/tomcat/目录

ret = shutil.make_archive("/home/tomcat/www", 'gztar', root_dir='/home/tomcat/')

shutil 对压缩包的处理是调用 ZipFile 和 TarFile 两个模块来进行的，详细：

import zipfile

# 压缩

z = zipfile.ZipFile('laxi.zip', 'w')

z.write('a.log')

z.write('data.data')

z.close()

# 解压

z = zipfile.ZipFile('laxi.zip', 'r')

z.extractall()

z.close()

TarFile

import tarfile

# 压缩

tar = tarfile.open('your.tar','w')

tar.add('/Users/wupeiqi/PycharmProjects/bbs2.log', arcname='bbs2.log')

tar.add('/Users/wupeiqi/PycharmProjects/cmdb.log', arcname='cmdb.log')

tar.close()

# 解压

tar = tarfile.open('your.tar','r')

tar.extractall()  # 可设置解压地址

tar.close()