python-scipyHow can I use Python and Numpy to parse XML data?
Python and Numpy can be used to parse XML data by using the ElementTree
library. This library allows us to easily access and parse XML data.
For example, to parse a simple XML file, the following code can be used:
import xml.etree.ElementTree as ET
# parse an xml file by name
tree = ET.parse('data.xml')
# get the root element
root = tree.getroot()
# print all items in the xml file
for item in root.findall('item'):
print(item.text)
The output of this code would be all the items in the XML file.
The code can be broken down into the following parts:
- Importing the
ElementTree
library: This allows us to access and parse XML data. - Parsing the XML file: This is done using the
parse()
function. - Getting the root element: This is done using the
getroot()
function. - Iterating through the items: This is done using the
findall()
function.
Helpful links
More of Python Scipy
- How do I use the trapz function in Python SciPy?
- How do I create a 2D array of zeros using Python and NumPy?
- How do I use Python XlsxWriter to write a NumPy array to an Excel file?
- How do I convert a Python numpy array to a list?
- How do I use the scipy ttest_ind function in Python?
- How do I calculate the mode using Python Scipy Stats?
- How can I use Python Scipy to generate random numbers?
- How do I convert a Python numpy.ndarray to a list?
- How can I use Python and SciPy to generate a uniform distribution?
- How can I use the Radial Basis Function (RBF) in Python with SciPy?
See more codes...