2017-10-03 20:40:39 +03:00
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//- 💫 DOCS > USAGE > VISUALIZERS > JUPYTER
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p
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| displaCy is able to detect whether you're working in a
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| #[+a("https://jupyter.org") Jupyter] notebook, and will return markup
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| that can be rendered in a cell straight away. When you export your
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| notebook, the visualizations will be included as HTML.
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+code("Jupyter Example").
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2017-11-10 04:30:55 +03:00
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# don't forget to install a model, e.g.: python -m spacy download en
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2017-10-03 20:40:39 +03:00
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import spacy
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from spacy import displacy
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doc = nlp(u'Rats are various medium-sized, long-tailed rodents.')
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2018-09-27 13:28:04 +03:00
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displacy.render(doc, style='dep', jupyter=True)
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2017-10-03 20:40:39 +03:00
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doc2 = nlp(LONG_NEWS_ARTICLE)
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2018-09-27 13:28:04 +03:00
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displacy.render(doc2, style='ent', jupyter=True)
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2017-10-03 20:40:39 +03:00
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+aside("Enabling or disabling Jupyter mode")
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| To explicitly enable or disable "Jupyter mode", you can use the
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| #[code jupyter] keyword argument – e.g. to return raw HTML in a notebook,
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| or to force Jupyter rendering if auto-detection fails.
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+image("/assets/img/displacy_jupyter.jpg", 700, false, "Example of using the displaCy dependency and named entity visualizer in a Jupyter notebook")
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p
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| Internally, displaCy imports #[code display] and #[code HTML] from
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| #[code IPython.core.display] and returns a Jupyter HTML object. If you
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| were doing it manually, it'd look like this:
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+code.
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from IPython.core.display import display, HTML
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html = displacy.render(doc, style='dep')
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2018-06-11 01:21:06 +03:00
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display(HTML(html))
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