How to get an object representation of dependencies?

[nihirv]

Hey,

SpaCy comes with a nice dependency parser and visualiser.

However I'm struggling to find out how I can get an object based representation for the dependencies in a sentence.

Using nlp we can print the dependencies for each word, and using displacy we can visualise the dependency tree. But I'd like to have an object representation for the dependencies of every word.

The docs show how we can input this representation to be displayed: https://spacy.io/usage/visualizers#manual-usage, but doesn't mention how we can extract that representation from spacy's nlp (or displacy) itself

[nihirv]

Found the answer.

from spacy.displacy import parse_deps
doc = "This is a document"
spacy_doc = nlp(doc)
print(parse_deps(spacy_doc))