mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-14 21:57:15 +03:00
37 lines
1.4 KiB
Plaintext
37 lines
1.4 KiB
Plaintext
|
//- 💫 DOCS > USAGE > VISUALIZERS > JUPYTER
|
|||
|
|
|||
|
p
|
|||
|
| displaCy is able to detect whether you're working in a
|
|||
|
| #[+a("https://jupyter.org") Jupyter] notebook, and will return markup
|
|||
|
| that can be rendered in a cell straight away. When you export your
|
|||
|
| notebook, the visualizations will be included as HTML.
|
|||
|
|
|||
|
+code("Jupyter Example").
|
|||
|
# don't forget to install a model, e.g.: spacy download en
|
|||
|
import spacy
|
|||
|
from spacy import displacy
|
|||
|
|
|||
|
doc = nlp(u'Rats are various medium-sized, long-tailed rodents.')
|
|||
|
displacy.render(doc, style='dep')
|
|||
|
|
|||
|
doc2 = nlp(LONG_NEWS_ARTICLE)
|
|||
|
displacy.render(doc2, style='ent')
|
|||
|
|
|||
|
+aside("Enabling or disabling Jupyter mode")
|
|||
|
| To explicitly enable or disable "Jupyter mode", you can use the
|
|||
|
| #[code jupyter] keyword argument – e.g. to return raw HTML in a notebook,
|
|||
|
| or to force Jupyter rendering if auto-detection fails.
|
|||
|
|
|||
|
+image("/assets/img/displacy_jupyter.jpg", 700, false, "Example of using the displaCy dependency and named entity visualizer in a Jupyter notebook")
|
|||
|
|
|||
|
p
|
|||
|
| Internally, displaCy imports #[code display] and #[code HTML] from
|
|||
|
| #[code IPython.core.display] and returns a Jupyter HTML object. If you
|
|||
|
| were doing it manually, it'd look like this:
|
|||
|
|
|||
|
+code.
|
|||
|
from IPython.core.display import display, HTML
|
|||
|
|
|||
|
html = displacy.render(doc, style='dep')
|
|||
|
return display(HTML(html))
|