"What's the best way to parse and manipulate XML in Python?"
Hey folks! I'm diving into some python xml stuff for a project, and I'm kinda overwhelmed by the options.
I've seen `ElementTree`, `lxml`, and even `minidom` thrown around. Which one do y'all prefer for simple parsing and edits?
Also, any pro tips for handling larger files? My script chokes on anything over 10MB lol.
And namespaces... ugh. Why are they so messy in python xml? Any workarounds or libs that make it less painful?
Thanks in advance!
For simple python xml parsing, ElementTree is the way to go. It's built-in, so no extra installs needed.
For bigger files, try `iterparse()`—it’s a lifesaver for memory. And yeah, namespaces are a pain.
Pro tip: Use `lxml` if you need speed or XPath, but it’s overkill for small stuff.
Check out the official docs for `xml.etree.ElementTree`—super helpful!
lxml is my go-to for python xml stuff. Way faster than ElementTree and handles namespaces better.
For large files, stream with `lxml.etree.iterparse()` and clean up as you go.
Namespaces? Just ignore ’em if you can (lol), or use `lxml`’s `nsmap`.
Also, `xmltodict` is neat if you wanna work with dicts instead of nodes.
Honestly, minidom is outdated—avoid it. Stick with ElementTree or lxml.
For big files, chunk ’em or use SAX parsing. It’s old-school but efficient.
Namespaces suck, but `lxml` makes it *slightly* less awful.
Here’s a cheat sheet for lxml XPath: [link]. Helped me tons!
If you’re just starting with python xml, ElementTree is easiest.
But for heavy lifting, lxml wins. Its XPath support is *chef’s kiss*.
10MB+ files? `iterparse` + manual garbage collection.
Namespaces? Ugh. Maybe pre-process the XML to strip ’em?
Wow, thanks everyone! Didn’t expect so many tips.
Tried `lxml` with `iterparse` and it’s way faster—no more crashes on big files!
Still struggling with namespaces tho. Anyone got a *simple* example for stripping them?
Also, is `xmltodict` worth learning for quick edits?
ElementTree is fine, but lxml is *way* better for complex python xml tasks.
For large files, SAX is ugly but works. Or split the XML first.
Namespaces? `lxml.etree` lets you ignore ’em with `*` in XPath.
Also, `xmlschema` lib helps if you’re validating.
Python xml pro here. Use `lxml`—it’s faster and more flexible.
Big files? `iterparse` + `clear()` nodes after processing.
Namespaces are hell, but `lxml`’s `nsmap` helps.
Bonus: `BeautifulSoup` can parse XML too (but slower).
ElementTree is good enough for most python xml needs.
For large files, avoid loading everything at once—stream with `iterparse`.
Namespaces? Yeah, they’re messy. Maybe regex to clean ’em up first?
`lxml` is better, but do you *really* need it?
For python xml, I’d say:
- Simple stuff: ElementTree
- Complex: lxml
- Huge files: SAX or chunking
Namespaces? `lxml`’s `xpath()` with wildcards saves headaches.
Also, `xmltodict` is great for quick hacks.
