convert xml file to dataframe python

How to convert an XML file to nice pandas dataframe?

stackoverflow.com › questions › 28259301 › how-to-convert-an-xml-file-to-nice-pandas-dataframe

You can easily use xml (from the Python standard library) to convert to a pandas.DataFrame. Here's what I would do (when reading from a file replace xml_data with the name of your file or file object):

import pandas as pd
import xml.etree.ElementTree as ET
import io

def iter_docs(author):
    author_attr = author.attrib
    for doc in author.iter('document'):
        doc_dict = author_attr.copy()
        doc_dict.update(doc.attrib)
        doc_dict['data'] = doc.text
        yield doc_dict

xml_data = io.StringIO(u'''YOUR XML STRING HERE''')

etree = ET.parse(xml_data) #create an ElementTree object 
doc_df = pd.DataFrame(list(iter_docs(etree.getroot())))

If there are multiple authors in your original document or the root of your XML is not an author, then I would add the following generator:

def iter_author(etree):
    for author in etree.iter('author'):
        for row in iter_docs(author):
            yield row

and change doc_df = pd.DataFrame(list(iter_docs(etree.getroot()))) to doc_df = pd.DataFrame(list(iter_author(etree)))

Have a look at the ElementTree tutorial provided in the xml library documentation.

Answer from JaminSore on Stack Overflow

Stack Overflow

stackoverflow.com › questions › 28259301 › how-to-convert-an-xml-file-to-nice-pandas-dataframe

python - How to convert an XML file to nice pandas dataframe? - Stack Overflow

Videos

06:10

YouTube

Convert XML to DataFrame in Python using pandas - Part #1 - YouTube

Python | Pandas DataFrame - PART # 4 From XML to Pandas DataFrames ...

February 18, 2021

06:49

YouTube

How to convert an XML file to python pandas dataframe - reading ...

April 20, 2019

12:45

YouTube

UK Power market data - XML to Pandas dataframe - YouTube

February 11, 2016

14:39

YouTube

UK Gas market data - XML to Pandas dataframe - YouTube

March 16, 2016

View all

Saturn Cloud

saturncloud.io › blog › converting-complex-xml-files-to-pandas-dataframecsv-in-python

Converting Complex XML Files to Pandas DataFrame/CSV in Python | Saturn Cloud Blog

December 28, 2023 - The first step in converting an XML file to a DataFrame or CSV is parsing the XML file. We’ll use the xml.etree.ElementTree module in Python, which provides a lightweight and efficient API for parsing and creating XML data.

Saturn Cloud

saturncloud.io › blog › converting-xml-to-python-dataframe-a-comprehensive-guide

Converting XML to Python DataFrame: A Guide | Saturn Cloud Blog

November 15, 2023 - Converting XML to a Python DataFrame can be a bit tricky, but with the right approach, it becomes a straightforward task. This guide has shown you how to parse an XML file, extract the necessary data, and convert it into a DataFrame using pandas.

Pandas

pandas.pydata.org › docs › reference › api › pandas.read_xml.html

pandas.read_xml — pandas 3.0.1 documentation - PyData |

Convert a JSON string to pandas object. ... Read HTML tables into a list of DataFrame objects. ... This method is best designed to import shallow XML documents in following format which is the ideal fit for the two-dimensions of a DataFrame (row by column). <root> <row> <column1>data</column1> <column2>data</column2> <column3>data</column3> ... </row> <row> ... </row> ... </root> As a file format, XML documents can be designed any way including layout of elements and attributes as long as it conforms to W3C specifications.

YouTube

youtube.com › watch

Convert XML to DataFrame in Python using pandas - Part #2 - YouTube

15:13

This demo explains everything you need to successfully apply the steps in your projectsetup on windows:python -m pip install -U pip setuptoolspip3 install ju...

Published December 1, 2021

GeeksforGeeks

geeksforgeeks.org › python › convert-xml-structure-to-dataframe-using-beautifulsoup-python

Convert XML structure to DataFrame using BeautifulSoup - Python - GeeksforGeeks

March 21, 2024 - Now we have extracted the data from the XML file using the BeautifulSoup into the DataFrame and it is stored as ‘df’. To see the DataFrame we use the print statement to print it. ... # Python program to convert xml # structure into dataframes using beautifulsoup # Import libraries from bs4 import BeautifulSoup import pandas as pd # Open XML file file = open("gfg.xml", 'r') # Read the contents of that file contents = file.read() soup = BeautifulSoup(contents, 'xml') # Extracting the data authors = soup.find_all('author') titles = soup.find_all('title') prices = soup.find_all('price') pubdat

Find elsewhere

Google Bing Mojeek

reddit.com › r/learnpython › parsing xml into a pandas dataframe

r/learnpython on Reddit: Parsing XML into a Pandas dataframe

December 9, 2022 -

I am trying to parse an XML file into a Pandas DataFrame. It's a nicely formatted file that's not very deep, but whenever I work with XML it's like my brain goes blank and I never can remember all the goofy intricacies of dealing with it.

The file looks roughly like this

<?xml version="1.0" encoding="utf-8"?>

<diagnosticsLog type="db-profile" startDate="11/14/2022 23:31:12">

  <!--Build 18.0.1.69-->

  <columns>

    <column friendlyName="time" name="time" />

    <column friendlyName="Direction" name="Direction" />

    <column friendlyName="SQL" name="SQL" />

    <column friendlyName="ProcessID" name="ProcessID" />

    <column friendlyName="ThreadID" name="ThreadID" />


    <column friendlyName="TimeSpan" name="TimeSpan" />

    <column friendlyName="User" name="User" />

    <column friendlyName="HTTPSessionID" name="HTTPSessionID" />

    <column friendlyName="HTTPForward" name="HTTPForward" />

    <column friendlyName="SessionID" name="SessionID" />


    <column friendlyName="SessionGUID" name="SessionGUID" />

    <column friendlyName="Datasource" name="Datasource" />

    <column friendlyName="Sequence" name="Sequence" />

    <column friendlyName="LocalSequence" name="LocalSequence" />

    <column friendlyName="Message" name="Message" />

    <column friendlyName="AppPoolName" name="AppPoolName" />

  </columns>

  <rows>

    <row>

      <col name="time">11/14/2022 23:31:12</col>

      <col name="TimeSpan">0 ms</col>

      <col name="ThreadID">0x00000025</col>

      <col name="User">USERNAME</col>

      <col name="HTTPSessionID"></col>

      <col name="HTTPForward">20.186.0.0</col>

      <col name="SessionGUID">e4e51b-a64d-4b7b-9bfe-9612dd22b6cc</col>

      <col name="SessionID">6096783</col>

      <col name="Datasource">datasourceName</col>

      <col name="AppPoolName">C 1801AppServer Ext</col>

      <col name="Direction">Out</col>

      <col name="sql">UPDATE SET </col>

      <col name="Sequence">236419</col>

      <col name="LocalSequence">103825</col>

    </row>

    <row>

      <col name="time">11/14/2022 23:31:12</col>

      <col name="TimeSpan">N/A</col>

      <col name="ThreadID">0x00000025</col>

      <col name="User">USERNAME</col>

      <col name="HTTPSessionID"></col>

      <col name="HTTPForward">20.186.0.0</col>

      <col name="SessionGUID">e491b-a64d-4b7b-9bfe-9612dd22b6cc</col>

      <col name="SessionID">6096783</col>

      <col name="Datasource">datasourceName</col>

      <col name="AppPoolName">C 1801AppServer Ext</col>

      <col name="Direction">In</col>

      <col name="sql">UPDATE SET</col>

      <col name="Sequence">236420</col>

      <col name="LocalSequence">103826</col>

    </row>

  </rows>

</diagnosticsLog>

I want to convert that to the column names being the columns and each row being a row. I'm at a loss on how to do this.

Top answer

1 of 1

To parse an XML file into a Pandas DataFrame, you can use the from_dict method of the DataFrame class. First, you will need to use the ElementTree module to parse the XML file and extract the relevant data. Here is an example of how this can be done: import xml.etree.ElementTree as ET import pandas as pd Parse the XML file using ElementTree tree = ET.parse('my_file.xml') root = tree.getroot() Extract the column names from the 'columns' element columns = [col.attrib['friendlyName'] for col in root.find('columns')] Create an empty list to store the data for each row data = [] Iterate over the 'row' elements and extract the data for each one for row in root.find('rows'): row_data = {} for col in row: # Add the data for each column to the dictionary row_data[col.attrib['name']] = col.text # Add the dictionary for this row to the list data.append(row_data) Create a DataFrame using the column names and data df = pd.DataFrame.from_dict(data, columns=columns) This code will parse the XML file and extract the data for each row and column, storing it in a dictionary. The dictionary is then used to create a DataFrame using the from_dict method. This DataFrame will have the column names as the columns and each row of data as a row in the DataFrame.

Educative

educative.io › answers › how-to-convert-xml-to-a-dataframe-using-beautifulsoup

How to convert XML to a DataFrame using BeautifulSoup

Here, we pass data and the data file format xml to the BeautifulSoup function. Step 4: We search the data. ... Step 5: We get the text data from XML. ... Step 6: We create and print the DataFrame.

Delft Stack

delftstack.com › home › howto › python pandas › convert xml file to python nice pandas dataframe

How to Convert XML File to Pandas DataFrame | Delft Stack

February 2, 2024 - Assume that this data is saved in an XML file called students.xml. import xml.etree.ElementTree as et xtree = et.parse("/content/drive/MyDrive/ABC/student.xml") xroot = xtree.getroot() We can now loop over the tree, grabbing each student element, its name property, and its sub-elements to generate our dataframe.

Stack Abuse

stackabuse.com › reading-and-writing-xml-files-in-python-with-pandas

Reading and Writing XML Files in Python with Pandas

August 21, 2024 - from lxml import objectify import ... 0 1.0 7020000.0 35237.0 1 3.0 10000000.0 32238.0 2 nan 4128000.0 44699.0 · The xmltodict module converts the XML data into a Python dictionary as the name suggests....

Table Convert

tableconvert.com › home › convert xml to pandas dataframe online

Convert XML to Pandas DataFrame Online - Table Convert

January 11, 2019 - It provides powerful data manipulation, cleaning, and analysis capabilities, widely used in data science, machine learning, and business intelligence. An indispensable tool for Python developers and data analysts. How to use the Convert XML to Pandas DataFrame Online for free? Upload your XML file, paste data, or extract from web pages using our free online table converter.

Medium

medium.com › @sounder.rahul › reading-xml-file-using-python-pandas-and-converting-it-into-a-pyspark-dataframe-52fd798c8149

Finance Domain — Reading XML File using Python pandas and converting it into a PySpark DataFrame | by Rahul Sounder | Medium

December 2, 2024 - import xml.etree.ElementTree as ET import pandas as pd # Function to parse XML and create Pandas DataFrame def parse_xml_to_dataframe(file_path): tree = ET.parse(file_path) root = tree.getroot() # Extract data from XML into a list of dictionaries data = [] for transaction in root.findall("transaction"): record = { "id": transaction.find("id").text, "date": transaction.find("date").text, "type": transaction.find("type").text, "amount": float(transaction.find("amount").text), "account": transaction.find("account").text } data.append(record) # Create a Pandas DataFrame from the list of dictionari

Kaggle

kaggle.com › code › tinlla › conversion-of-the-xml-file-to-a-pandas-dataframe

Conversion of the XML file to a Pandas Dataframe

Checking your browser before accessing www.kaggle.com · Click here if you are not automatically redirected after 5 seconds

Towards Data Science

towardsdatascience.com › home › latest › extracting information from xml files into a pandas dataframe

Extracting information from XML files into a Pandas dataframe | Towards Data Science

January 21, 2025 - Parse XML files with the Python's ElementTree package

GeeksforGeeks

geeksforgeeks.org › how-to-create-pandas-dataframe-from-nested-xml

How to create Pandas DataFrame from nested XML? | GeeksforGeeks

April 28, 2021 - In this article, we will learn how to create Pandas DataFrame from nested XML. We will use the xml.etree.ElementTree module, which is a built-in module in Python for parsing or reading information from the XML file.

Medium

medium.com › @curiouskhanna › how-to-convert-xml-into-data-frame-using-python-507d5b0d1831

How to convert xml into data frame using python? | by Shubham Khanna | Medium

December 21, 2022 - import pandas as pd # Read the ... XML string that you want to convert into a dataframe, you can use the from_string() method of read_xml() to parse the string....

GitHub

github.com › aadiby › xml2df

GitHub - aadiby/xml2df: Convert XML file to a pandas dataframe. This package flattens the XML structure and creates a list of dictionaries that is then transformed to a dataframe.

October 8, 2025 - This package flattens the XML structure and creates a list of dictionaries that is then transformed to a dataframe. ... The code is available in the xml2df.py Running the file will allow you to process the example.xml file: ... # batched elements is a list containing all the nodes who's children are of the same instance batched_elements = ["publish_date", "author_details"] df_result = xml2df(document, "book", batched_elements) print(df_result.head(5)) The file contains several functions to process your XML file.

Author aadiby

Blogger

timhomelab.blogspot.com › 2014 › 01 › how-to-read-xml-file-into-dataframe.html

lab notebook: How to read XML file into pandas dataframe using lxml

March 5, 2021 - path = 'file_path' xml = objectify.parse(open(path)) Get the root node: root = xml.getroot() Now we can access child nodes, and with · root.getchildren()[0].getchildren() we're able to get the actual content of the first child node as a simple Python list: [1, 'First'] Now we obviously want to convert this data into data frame. Les's import pandas: import pandas as pd Prepare a empty data frame that will hold our data: df = pd.DataFrame(columns=('id', 'name')) Now we go though our XML file appending data to this dataframe: for i in range(0,4): obj = root.getchildren()[i].getchildren() row = dict(zip(['id', 'name'], [obj[0].text, obj[1].text])) row_s = pd.Series(row) row_s.name = i df = df.append(row_s) (name of the Series object serves as an index element while appending the object to DataFrame) And here is out fresh dataframe: id name 0 1 First 1 2 Second 2 3 Third 3 4 Fourth ·

Edureka Community

edureka.co › home › community › categories › python › python xml file to pandas dataframe

Python XML file to pandas dataframe | Edureka Community

August 1, 2019 - 53895/python-xml-file-to-pandas-dataframe · Here's an example code: