//- 💫 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.: python -m 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', jupyter=True)

    doc2 = nlp(LONG_NEWS_ARTICLE)
    displacy.render(doc2, style='ent', jupyter=True)

+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')
    display(HTML(html))