• January 27, 2023

Read Xml File Python Example

xml.etree.ElementTree — The ElementTree XML API …

Source code: Lib/xml/etree/
The module implements a simple and efficient API
for parsing and creating XML data.
Changed in version 3. 3: This module will use a fast implementation whenever available.
Deprecated since version 3. 3: The module is deprecated.
Warning
The module is not secure against
maliciously constructed data. If you need to parse untrusted or
unauthenticated data see XML vulnerabilities.
Tutorial¶
This is a short tutorial for using (ET in
short). The goal is to demonstrate some of the building blocks and basic
concepts of the module.
XML tree and elements¶
XML is an inherently hierarchical data format, and the most natural way to
represent it is with a tree. ET has two classes for this purpose –
ElementTree represents the whole XML document as a tree, and
Element represents a single node in this tree. Interactions with
the whole document (reading and writing to/from files) are usually done
on the ElementTree level. Interactions with a single XML element
and its sub-elements are done on the Element level.
Parsing XML¶
We’ll be using the following XML document as the sample data for this section:



1
2008
141100




4
2011
59900


68
13600



We can import this data by reading from a file:
import as ET
tree = (”)
root = troot()
Or directly from a string:
root = omstring(country_data_as_string)
fromstring() parses XML from a string directly into an Element,
which is the root element of the parsed tree. Other parsing functions may
create an ElementTree. Check the documentation to be sure.
As an Element, root has a tag and a dictionary of attributes:
>>>
‘data’
{}
It also has children nodes over which we can iterate:
>>> for child in root:… print(, )…
country {‘name’: ‘Liechtenstein’}
country {‘name’: ‘Singapore’}
country {‘name’: ‘Panama’}
Children are nested, and we can access specific child nodes by index:
>>> root[0][1]
‘2008’
Note
Not all elements of the XML input will end up as elements of the
parsed tree. Currently, this module skips over any XML comments,
processing instructions, and document type declarations in the
input. Nevertheless, trees built using this module’s API rather
than parsing from XML text can have comments and processing
instructions in them; they will be included when generating XML
output. A document type declaration may be accessed by passing a
custom TreeBuilder instance to the XMLParser
constructor.
Pull API for non-blocking parsing¶
Most parsing functions provided by this module require the whole document
to be read at once before returning any result. It is possible to use an
XMLParser and feed data into it incrementally, but it is a push API that
calls methods on a callback target, which is too low-level and inconvenient for
most needs. Sometimes what the user really wants is to be able to parse XML
incrementally, without blocking operations, while enjoying the convenience of
fully constructed Element objects.
The most powerful tool for doing this is XMLPullParser. It does not
require a blocking read to obtain the XML data, and is instead fed with data
incrementally with () calls. To get the parsed XML
elements, call ad_events(). Here is an example:
>>> parser = ET. XMLPullParser([‘start’, ‘end’])
>>> (‘sometext’)
>>> list(ad_events())
[(‘start’, )]
>>> (‘ more text
‘)
>>> for event, elem in ad_events():… print(event)… print(, ‘text=’, )…
end
The obvious use case is applications that operate in a non-blocking fashion
where the XML data is being received from a socket or read incrementally from
some storage device. In such cases, blocking reads are unacceptable.
Because it’s so flexible, XMLPullParser can be inconvenient to use for
simpler use-cases. If you don’t mind your application blocking on reading XML
data but would still like to have incremental parsing capabilities, take a look
at iterparse(). It can be useful when you’re reading a large XML document
and don’t want to hold it wholly in memory.
Finding interesting elements¶
Element has some useful methods that help iterate recursively over all
the sub-tree below it (its children, their children, and so on). For example,
():
>>> for neighbor in (‘neighbor’):… print()…
{‘name’: ‘Austria’, ‘direction’: ‘E’}
{‘name’: ‘Switzerland’, ‘direction’: ‘W’}
{‘name’: ‘Malaysia’, ‘direction’: ‘N’}
{‘name’: ‘Costa Rica’, ‘direction’: ‘W’}
{‘name’: ‘Colombia’, ‘direction’: ‘E’}
ndall() finds only elements with a tag which are direct
children of the current element. () finds the first child
with a particular tag, and accesses the element’s text
content. () accesses the element’s attributes:
>>> for country in ndall(‘country’):… rank = (‘rank’)… name = (‘name’)… print(name, rank)…
Liechtenstein 1
Singapore 4
Panama 68
More sophisticated specification of which elements to look for is possible by
using XPath.
Modifying an XML File¶
ElementTree provides a simple way to build XML documents and write them to files.
The () method serves this purpose.
Once created, an Element object may be manipulated by directly changing
its fields (such as), adding and modifying attributes
(() method), as well as adding new children (for example
with ()).
Let’s say we want to add one to each country’s rank, and add an updated
attribute to the rank element:
>>> for rank in (‘rank’):… new_rank = int() + 1… = str(new_rank)… (‘updated’, ‘yes’)…
>>> (”)
Our XML now looks like this:
2
5
69
We can remove elements using (). Let’s say we want to
remove all countries with a rank higher than 50:
>>> for country in ndall(‘country’):… # using ndall() to avoid removal during traversal… rank = int((‘rank’))… if rank > 50:… (country)…
Note that concurrent modification while iterating can lead to problems,
just like when iterating and modifying Python lists or dicts.
Therefore, the example first collects all matching elements with
ndall(), and only then iterates over the list of matches.
Building XML documents¶
The SubElement() function also provides a convenient way to create new
sub-elements for a given element:
>>> a = ET. Element(‘a’)
>>> b = bElement(a, ‘b’)
>>> c = bElement(a, ‘c’)
>>> d = bElement(c, ‘d’)
>>> (a)

Parsing XML with Namespaces¶
If the XML input has namespaces, tags and attributes
with prefixes in the form prefix:sometag get expanded to
{uri}sometag where the prefix is replaced by the full URI.
Also, if there is a default namespace,
that full URI gets prepended to all of the non-prefixed tags.
Here is an XML example that incorporates two namespaces, one with the
prefix “fictional” and the other serving as the default namespace:



By default, the href attribute is treated as a file name. You can use custom loaders to override this behaviour. Also note that the standard helper does not support XPointer syntax.
To process this file, load it as usual, and pass the root element to the module:
from import ElementTree, ElementInclude
tree = (“”)
clude(root)
The ElementInclude module replaces the {include element with the root element from the document. The result might look something like this: This is a paragraph. If the parse attribute is omitted, it defaults to “xml”. The href attribute is required.
To include a text document, use the {include element, and set the parse attribute to “text”:
Copyright (c) .
The result might look something like:
Copyright (c) 2003.
(href, parse, encoding=None)¶
Default loader. This default loader reads an included resource from disk. href is a URL.
parse is for parse mode either “xml” or “text”. encoding
is an optional text encoding. If not given, encoding is utf-8. Returns the
expanded resource. If the parse mode is “xml”, this is an ElementTree
instance. If the parse mode is “text”, this is a Unicode string. If the
loader fails, it can return None or raise an exception.
(elem, loader=None, base_url=None, max_depth=6)¶
This function expands XInclude directives. elem is the root element. loader is
an optional resource loader. If omitted, it defaults to default_loader().
If given, it should be a callable that implements the same interface as
default_loader(). base_url is base URL of the original file, to resolve
relative include file references. max_depth is the maximum number of recursive
inclusions. Limited to reduce the risk of malicious content explosion. Pass a
negative value to disable the limitation.
Returns the expanded resource. If the parse mode is
“xml”, this is an ElementTree instance. If the parse mode is “text”,
this is a Unicode string. If the loader fails, it can return None or
raise an exception.
New in version 3. 9: The base_url and max_depth parameters.
Element Objects¶
class (tag, attrib={}, **extra)¶
Element class. This class defines the Element interface, and provides a
reference implementation of this interface.
bytestrings or Unicode strings. tag is the element name. attrib is
an optional dictionary, containing element attributes. extra contains
additional attributes, given as keyword arguments.
tag¶
A string identifying what kind of data this element represents (the
element type, in other words).
text¶
tail¶
These attributes can be used to hold additional data associated with
the element. Their values are usually strings but may be any
application-specific object. If the element is created from
an XML file, the text attribute holds either the text between
the element’s start tag and its first child or end tag, or None, and
the tail attribute holds either the text between the element’s
end tag and the next tag, or None. For the XML data
1234
the a element has None for both text and tail attributes,
the b element has text “1” and tail “4”,
the c element has text “2” and tail None,
and the d element has text None and tail “3”.
To collect the inner text of an element, see itertext(), for
example “”(ertext()).
Applications may store arbitrary objects in these attributes.
attrib¶
A dictionary containing the element’s attributes. Note that while the
attrib value is always a real mutable Python dictionary, an ElementTree
implementation may choose to use another internal representation, and
create the dictionary only if someone asks for it. To take advantage of
such implementations, use the dictionary methods below whenever possible.
The following dictionary-like methods work on the element attributes.
clear()¶
Resets an element. This function removes all subelements, clears all
attributes, and sets the text and tail attributes to None.
get(key, default=None)¶
Gets the element attribute named key.
Returns the attribute value, or default if the attribute was not found.
items()¶
Returns the element attributes as a sequence of (name, value) pairs. The
attributes are returned in an arbitrary order.
keys()¶
Returns the elements attribute names as a list. The names are returned
in an arbitrary order.
set(key, value)¶
Set the attribute key on the element to value.
The following methods work on the element’s children (subelements).
append(subelement)¶
Adds the element subelement to the end of this element’s internal list
of subelements. Raises TypeError if subelement is not an
Element.
extend(subelements)¶
Appends subelements from a sequence object with zero or more elements.
Raises TypeError if a subelement is not an Element.
find(match, namespaces=None)¶
Finds the first subelement matching match. match may be a tag name
or a path. Returns an element instance
or None. namespaces is an optional mapping from namespace prefix
to full name. Pass ” as prefix to move all unprefixed tag names
in the expression into the given namespace.
findall(match, namespaces=None)¶
Finds all matching subelements, by tag name or
path. Returns a list containing all matching
elements in document order. namespaces is an optional mapping from
namespace prefix to full name. Pass ” as prefix to move all
unprefixed tag names in the expression into the given namespace.
findtext(match, default=None, namespaces=None)¶
Finds text for the first subelement matching match. match may be
a tag name or a path. Returns the text content
of the first matching element, or default if no element was found.
Note that if the matching element has no text content an empty string
is returned. namespaces is an optional mapping from namespace prefix
insert(index, subelement)¶
Inserts subelement at the given position in this element. Raises
TypeError if subelement is not an Element.
iter(tag=None)¶
Creates a tree iterator with the current element as the root.
The iterator iterates over this element and all elements below it, in
document (depth first) order. If tag is not None or ‘*’, only
elements whose tag equals tag are returned from the iterator. If the
tree structure is modified during iteration, the result is undefined.
iterfind(match, namespaces=None)¶
path. Returns an iterable yielding all
matching elements in document order. namespaces is an optional mapping
from namespace prefix to full name.
itertext()¶
Creates a text iterator. The iterator loops over this element and all
subelements, in document order, and returns all inner text.
makeelement(tag, attrib)¶
Creates a new element object of the same type as this element. Do not
call this method, use the SubElement() factory function instead.
remove(subelement)¶
Removes subelement from the element. Unlike the find* methods this
method compares elements based on the instance identity, not on tag value
or contents.
Element objects also support the following sequence type methods
for working with subelements: __delitem__(),
__getitem__(), __setitem__(),
__len__().
Caution: Elements with no subelements will test as False. This behavior
will change in future versions. Use specific len(elem) or elem is
None test instead.
element = (‘foo’)
if not element: # careful!
print(“element not found, or element has no subelements”)
if element is None:
print(“element not found”)
Prior to Python 3. 8, the serialisation order of the XML attributes of
elements was artificially made predictable by sorting the attributes by
their name. Based on the now guaranteed ordering of dicts, this arbitrary
reordering was removed in Python 3. 8 to preserve the order in which
attributes were originally parsed or created by user code.
In general, user code should try not to depend on a specific ordering of
attributes, given that the XML Information Set explicitly excludes the attribute
order from conveying information. Code should be prepared to deal with
any ordering on input. In cases where deterministic XML output is required,
e. for cryptographic signing or test data sets, canonical serialisation
is available with the canonicalize() function.
In cases where canonical output is not applicable but a specific attribute
order is still desirable on output, code should aim for creating the
attributes directly in the desired order, to avoid perceptual mismatches
for readers of the code. In cases where this is difficult to achieve, a
recipe like the following can be applied prior to serialisation to enforce
an order independently from the Element creation:
def reorder_attributes(root):
for el in ():
attrib =
if len(attrib) > 1:
# adjust attribute order, e. by sorting
attribs = sorted(())
()
(attribs)
ElementTree Objects¶
class (element=None, file=None)¶
ElementTree wrapper class. This class represents an entire element
hierarchy, and adds some extra support for serialization to and from
standard XML.
element is the root element. The tree is initialized with the contents
of the XML file if given.
_setroot(element)¶
Replaces the root element for this tree. This discards the current
contents of the tree, and replaces it with the given element. Use with
care. element is an element instance.
Same as (), starting at the root of the tree.
Same as ndall(), starting at the root of the tree.
Same as ndtext(), starting at the root of the tree.
getroot()¶
Returns the root element for this tree.
Creates and returns a tree iterator for the root element. The iterator
loops over all elements in this tree, in section order. tag is the tag
to look for (default is to return all elements).
Same as erfind(), starting at the root of the tree.
parse(source, parser=None)¶
Loads an external XML section into this element tree. source is a file
name or file object. parser is an optional parser instance.
If not given, the standard XMLParser parser is used. Returns the
section root element.
write(file, encoding=”us-ascii”, xml_declaration=None, default_namespace=None, method=”xml”, *, short_empty_elements=True)¶
Writes the element tree to a file, as XML. file is a file name, or a
file object opened for writing. encoding 1 is the output
encoding (default is US-ASCII).
xml_declaration controls if an XML declaration should be added to the
file. Use False for never, True for always, None
for only if not US-ASCII or UTF-8 or Unicode (default is None).
default_namespace sets the default XML namespace (for “xmlns”).
method is either “xml”, “html” or “text” (default is
“xml”).
The keyword-only short_empty_elements parameter controls the formatting
of elements that contain no content. If True (the default), they are
emitted as a single self-closed tag, otherwise they are emitted as a pair
of start/end tags.
The output is either a string (str) or binary (bytes).
This is controlled by the encoding argument. If encoding is
“unicode”, the output is a string; otherwise, it’s binary. Note that
this may conflict with the type of file if it’s an open
file object; make sure you do not try to write a string to a
binary stream and vice versa.
Changed in version 3. 8: The write() method now preserves the attribute order specified
This is the XML file that is going to be manipulated:


Example page

Moved to .



Example of changing the attribute “target” of every link in first paragraph:
>>> from import ElementTree
>>> tree = ElementTree()
>>> (“”)

>>> p = (“body/p”) # Finds first occurrence of tag p in body
>>> p

>>> links = list((“a”)) # Returns list of all links
>>> links
[, ]
>>> for i in links: # Iterates through all found links… [“target”] = “blank”
QName Objects¶
class (text_or_uri, tag=None)¶
QName wrapper. This can be used to wrap a QName attribute value, in order
to get proper namespace handling on output. text_or_uri is a string
containing the QName value, in the form {uri}local, or, if the tag argument
is given, the URI part of a QName. If tag is given, the first argument is
interpreted as a URI, and this argument is interpreted as a local name.
QN
Reading and Writing XML Files in Python - GeeksforGeeks

Reading and Writing XML Files in Python – GeeksforGeeks

Extensible Markup Language, commonly known as XML is a language designed specifically to be easy to interpret by both humans and computers altogether. The language defines a set of rules used to encode a document in a specific format. In this article, methods have been described to read and write XML files in In general, the process of reading the data from an XML file and analyzing its logical components is known as Parsing. Therefore, when we refer to reading a xml file we are referring to parsing the XML document. In this article, we would take a look at two libraries that could be used for the purpose of xml parsing. They are:BeautifulSoup used alongside the lxml xml parser Elementtree library. Using BeautifulSoup alongside with lxml parserFor the purpose of reading and writing the xml file we would be using a Python library named BeautifulSoup. In order to install the library, type the following command into the terminal. pip install beautifulsoup4Beautiful Soup supports the HTML parser included in Python’s standard library, but it also supports a number of third-party Python parsers. One is the lxml parser (used for parsing XML/HTML documents). lxml could be installed by running the following command in the command processor of your Operating system: pip install lxmlFirstly we will learn how to read from an XML file. We would also parse data stored in it. Later we would learn how to create an XML file and write data to it. Reading Data From an XML FileThere are two steps required to parse a xml file:- Finding Tags Extracting from tagsExample:XML File used: Python3from bs4 import BeautifulSoupwith open(”, ‘r’) as f: data = ()Bs_data = BeautifulSoup(data, “xml”)b_unique = nd_all(‘unique’)print(b_unique)b_name = (‘child’, {‘name’:’Frank’})print(b_name)value = (‘test’)print(value)OUTPUT:Writing an XML FileWriting a xml file is a primitive process, reason for that being the fact that xml files aren’t encoded in a special way. Modifying sections of a xml document requires one to parse through it at first. In the below code we would modify some sections of the aforementioned xml document. Example: Python3from bs4 import BeautifulSoupwith open(”, ‘r’) as f: data = ()bs_data = BeautifulSoup(data, ‘xml’)for tag in nd_all(‘child’, {‘name’:’Frank’}): tag[‘test’] = “WHAT!! “print(ettify())Output:Using ElementreeElementree module provides us with a plethora of tools for manipulating XML files. The best part about it being its inclusion in the standard Python’s built-in library. Therefore, one does not have to install any external modules for the purpose. Due to the xmlformat being an inherently hierarchical data format, it is a lot easier to represent it by a tree. The module provides ElementTree provides methods to represent whole XML document as a single tree. In the later examples, we would take a look at discrete methods to read and write data to and from XML files. Reading XML FilesTo read an XML file using ElementTree, firstly, we import the ElementTree class found inside xml library, under the name ET (common convension). Then passed the filename of the xml file to the () method, to enable parsing of our xml file. Then got the root (parent tag) of our xml file using getroot(). Then displayed (printed) the root tag of our xml file (non-explicit way). Then displayed the attributes of the sub-tag of our parent tag using root[0] root[0] for the first tag of parent root and attrib for getting it’s attributes. Then we displayed the text enclosed within the 1st sub-tag of the 5th sub-tag of the tag root. Example: Python3import as ETtree = (”)root = troot()print(root)print(root[0])print(root[5][0])Output:Writing XML FilesNow, we would take a look at some methods which could be used to write data on an xml document. In this example we would create a xml file from scratch. To do the same, firstly, we create a root (parent) tag under the name of chess using the command ET. Element(‘chess’). All the tags would fall underneath this tag, i. e. once a root tag has been defined, other sub-elements could be created underneath it. Then we created a subtag/subelement named Opening inside the chess tag using the command bElement(). Then we created two more subtags which are underneath the tag Opening named E4 and D4. Then we added attributes to the E4 and D4 tags using set() which is a method found inside SubElement(), which is used to define attributes to a tag. Then we added text between the E4 and D4 tags using the attribute text found inside the SubElement function. In the end we converted the datatype of the contents we were creating from ‘’ to bytes object, using the command string() (even though the function name is tostring() in certain implementations it converts the datatype to `bytes` rather then `str`). Finally, we flushed the data to a file named which is a opened in `wb` mode to allow writing binary data to it. In the end, we saved the data to our file. Example: Python3import as ETdata = ET. Element(‘chess’)element1 = bElement(data, ‘Opening’)s_elem1 = bElement(element1, ‘E4’)s_elem2 = bElement(element1, ‘D4’)(‘type’, ‘Accepted’)(‘type’, ‘Declined’) = “King’s Gambit Accepted” = “Queen’s Gambit Declined”b_xml = string(data)with open(“”, “wb”) as f: (b_xml)Output: Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics. To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course
How to read XML file in Python - Studytonight

How to read XML file in Python – Studytonight

In this article, we will learn various ways to read XML files in Python. We will use some built-in modules and libraries available in Python and some related custom examples as well. Let’s first have a quick look over the full form of XML, introduction to XML, and then read about various parsing modules to read XML documents in Python.
Introduction to XML
XML stands for Extensible Markup Language. It’s needed for keeping track of the tiny to medium amount of knowledge. It allows programmers to develop their own applications to read data from other applications. The method of reading the information from an XML file and further analyzing its logical structure is known as Parsing. Therefore, reading an XML file is that the same as parsing the XML document.
In this article, we would take a look at four different ways to read XML documents using different XML modules. They are:
1. MiniDOM(Minimal Document Object Model)
2. BeautifulSoup alongside the lxml parser
3. Element tree
4. Simple API for XML (SAX)
XML File: We are using this XML file to read in our examples.


model1abc
model2abc


Read XML File Using MiniDOM
It is Python module, used to read XML file. It provides parse() function to read XML file. We must import Minidom first before using its function in the application. The syntax of this function is given below.
Syntax
(filename_or_file[, parser[, bufsize]])
This function returns a document of XML type.
Example Read XML File in Python
Since each node will be treated as an object, we are able to access the attributes and text of an element using the properties of the object. Look at the example below, we’ve accessed the attributes and text of a selected node.
from import minidom
# parse an xml file by name
file = (”)
#use getElementsByTagName() to get tag
models = tElementsByTagName(‘model’)
# one specific item attribute
print(‘model #2 attribute:’)
print(models[1]. attributes[‘name’])
# all item attributes
print(‘\nAll attributes:’)
for elem in models:
print(tributes[‘name’])
# one specific item’s data
print(‘\nmodel #2 data:’)
print(models[1]. )
print(models[1]. childNodes[0])
# all items data
print(‘\nAll model data:’)
print()
model #2 attribute:
model2
All attributes:
model1
model #2 data:
model2abc
All model data:
model1abc
Read XML File Using BeautifulSoup alongside the lxml parser
In this example, we will use a Python library named BeautifulSoup. Beautiful Soup supports the HTML parser (lxml) included in Python’s standard library. Use the following command to install beautiful soup and lmxl parser in case, not installed.
#for beautifulsoup
pip install beautifulsoup4
#for lmxl parser
pip install lxml
After successful installation, use these libraries in python code.
We are using this XML file to read with Python code.

Acer is a laptop
Add model number here
Onida is an oven
Exclusive
Add price here
Add content here
Add company name here
Add number of employees here

Let’s read the above file using beautifulsoup library in python script.
from bs4 import BeautifulSoup
# Reading the data inside the xml file to a variable under the name data
with open(”, ‘r’) as f:
data = ()
# Passing the stored data inside the beautifulsoup parser
bs_data = BeautifulSoup(data, ‘xml’)
# Finding all instances of tag
b_unique = nd_all(‘unique’)
print(b_unique)
# Using find() to extract attributes of the first instance of the tag
b_name = (‘child’, {‘name’:’Acer’})
print(b_name)
# Extracting the data stored in a specific attribute of the `child` tag
value = (‘qty’)
print(value)
[Add model number here, Add price here]
12
Read XML File Using Element Tree
The Element tree module provides us with multiple tools for manipulating XML files. No installation is required. Due to the XML format present in the hierarchical data format, it becomes easier to represent it by a tree. Element Tree represents the whole XML document as a single tree.
To read an XML file, firstly, we import the ElementTree class found inside the XML library. Then, we will pass the filename of the XML file to the () method, to start parsing. Then, we will get the parent tag of the XML file using getroot(). Then we will display the parent tag of the XML file. Now, to get attributes of the sub-tag of the parent tag will use root[0] At last, display the text enclosed within the 1st sub-tag of the 5th sub-tag of the tag root.
# importing element tree
import as ET
# Pass the path of the xml document
tree = (”)
# get the parent tag
root = troot()
# print the root (parent) tag along with its memory location
print(root)
# print the attributes of the first tag
print(root[0])
# print the text contained within first subtag of the 5th tag from the parent
print(root[5][0])

{‘name’: ‘Acer’, ‘qty’: ’12’}
Add company name here
Read XML File Using Simple API for XML (SAX)
In this method, first, register callbacks for events that occur, then the parser proceeds through the document. this can be useful when documents are large or memory limitations are present. It parses the file because it reads it from disk and also the entire file isn’t stored in memory. Reading XML using this method requires the creation of ContentHandler by subclassing
Note: This method might not be compatible with Python 3 version. Please check your version before implementing this method.
ContentHandler – handles the tags and attributes of XML. The ContentHandler is called at the beginning and at the end of every element.
startDocument and endDocument – called at the start and the end of the XML file.
If the parser is’nt in namespace mode, the methods startElement(tag, attributes) and endElement(tag) are called; otherwise, the corresponding methods startElementNS and endElementNS
XML file
35000 12
Samsung
46500 14
Onida
30000 8
Lenovo
45000 Acer
Python Code Example
import
class XMLHandler():
def __init__(self):
rrentData = “”
= “”
mpany = “”
# Call when an element starts
def startElement(self, tag, attributes):
rrentData = tag
if(tag == “model”):
print(“*****Model*****”)
title = attributes[“number”]
print(“Model number:”, title)
# Call when an elements ends
def endElement(self, tag):
if(rrentData == “price”):
print(“Price:”, )
elif(rrentData == “qty”):
print(“Quantity:”, )
elif(rrentData == “company”):
print(“Company:”, mpany)
# Call when a character is read
def characters(self, content):
= content
mpany = content
# create an XMLReader
parser = ()
# turn off namepsaces
tFeature(, 0)
# override the default ContextHandler
Handler = XMLHandler()
tContentHandler( Handler)
(“”)
*****Model*****
Model number: ST001
Price: 35000
Quantity: 12
Company: Samsung
Model number: RW345
Price: 46500
Quantity: 14
Company: Onida
Model number: EX366
Price: 30000
Quantity: 8
Company: Lenovo
Model number: FU699
Price: 45000
Company: Acer
Conclusion
In this article, we learned about XML files and different ways to read an XML file by using several built-in modules and API’s such as Minidom, Beautiful Soup, ElementTree, Simple API(SAX). We used some custom parsing codes as well to parse the XML file.

Frequently Asked Questions about read xml file python example

How do I read an XML file in Python?

To read an XML file using ElementTree, firstly, we import the ElementTree class found inside xml library, under the name ET (common convension). Then passed the filename of the xml file to the ElementTree. parse() method, to enable parsing of our xml file. Then got the root (parent tag) of our xml file using getroot().Sep 2, 2021

Can Python parse XML?

Python XML Parsing Modules Python allows parsing these XML documents using two modules namely, the xml. etree. ElementTree module and Minidom (Minimal DOM Implementation). Parsing means to read information from a file and split it into pieces by identifying parts of that particular XML file.Jul 15, 2021

Can pandas read XML files?

The Pandas data analysis library provides functions to read/write data for most of the file types. For example, it includes read_csv() and to_csv() for interacting with CSV files. However, Pandas does not include any methods to read and write XML files.Sep 19, 2021

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