1.configparser模块
configparser用于处理特定格式的文件，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 指定格式
1.2、获取所有节点
import configparser config = configparser.ConfigParser()
config.read('xxxooo', encoding='utf-8')
ret = config.sections()
print(ret)
1.3、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)
1.4、获取指定节点下所有的键
import configparser config = configparser.ConfigParser()
config.read('xxxooo', encoding='utf-8')
ret = config.options('section1')
print(ret)
1.5、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')
1.6、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'))
1.7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', "")
config.write(open('xxxooo', 'w'))
2.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，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>
2.1、解析XML
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) 利用ElementTree.XML将字符串解析成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() 利用ElementTree.parse将文件直接解析成xml对象
2.2、操作XML
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 节点功能一览表
xml模块功能一览表
2.3、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)
遍历XML文档内容
2.4、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)
遍历XML中节点内容
3.python面向对象
面向对象编程是一种编程方式，此编程方式的落地需要使用 “类” 和 “对象” 来实现，所以，面向对象编程其实就是对 “类” 和 “对象” 的使用。
类就是一个模板，模板里可以包含多个函数，函数里实现一些功能
对象则是根据模板创建的实例，通过实例对象可以执行类中的函数
- class是关键字，表示类
- 创建对象，类名称后加括号即可
3.1面向对象三大特性
面向对象的三大特性是指：封装、继承和多态。
一、封装
封装，顾名思义就是将内容封装到某个地方，以后再去调用被封装在某处的内容。
所以，在使用面向对象的封装特性时，需要：
- 将内容封装到某处
- 从某处调用被封装的内容
第一步：将内容封装到某处
self 是一个形式参数，当执行 obj1 = Foo('wupeiqi', 18 ) 时，self 等于 obj1
当执行 obj2 = Foo('alex', 78 ) 时，self 等于 obj2
所以，内容其实被封装到了对象 obj1 和 obj2 中，每个对象中都有 name 和 age 属性，在内存里类似于下图来保存。
第二步：从某处调用被封装的内容
调用被封装的内容时，有两种情况：
- 通过对象直接调用
- 通过self间接调用
3.2继承
对于面向对象的继承来说，其实就是将多个类共有的方法提取到父类中，子类仅需继承父类而不必一一实现每个方法。
注：除了子类和父类的称谓，你可能看到过 派生类 和 基类 ，他们与子类和父类只是叫法不同而已。
3.3总结
- 面向对象是一种编程方式，此编程方式的实现是基于对 类 和 对象 的使用
- 类 是一个模板，模板中包装了多个“函数”供使用
- 对象，根据模板创建的实例（即：对象），实例用于调用被包装在类中的函数
- 面向对象三大特性：封装、继承和多态
以上都是摘抄武sir的