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86 lines
3.5 KiB
Plaintext
86 lines
3.5 KiB
Plaintext
//- 💫 DOCS > USAGE > VISUALIZERS > DEPENDENCIES
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p
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| The dependency visualizer, #[code dep], shows part-of-speech tags
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| and syntactic dependencies.
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+code("Dependency example").
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import spacy
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from spacy import displacy
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nlp = spacy.load('en')
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doc = nlp(u'This is a sentence.')
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displacy.serve(doc, style='dep')
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+codepen("f0e85b64d469d6617251d8241716d55f", 370)
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p
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| The argument #[code options] lets you specify a dictionary of settings
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| to customise the layout, for example:
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+aside("Important note")
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| There's currently a known issue with the #[code compact] mode for
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| sentences with short arrows and long dependency labels, that causes labels
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| longer than the arrow to wrap. So if you come across this problem,
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| especially when using custom labels, you'll have to increase the
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| #[code distance] setting in the #[code options] to allow longer arcs.
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+table(["Name", "Type", "Description", "Default"])
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+row
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+cell #[code compact]
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+cell bool
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+cell "Compact mode" with square arrows that takes up less space.
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+cell #[code False]
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+row
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+cell #[code color]
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+cell unicode
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+cell Text color (HEX, RGB or color names).
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+cell #[code '#000000']
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+row
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+cell #[code bg]
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+cell unicode
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+cell Background color (HEX, RGB or color names).
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+cell #[code '#ffffff']
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+row
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+cell #[code font]
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+cell unicode
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+cell Font name or font family for all text.
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+cell #[code 'Arial']
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p
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| For a list of all available options, see the
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| #[+api("top-level#displacy_options") #[code displacy] API documentation].
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+aside-code("Options example").
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options = {'compact': True, 'bg': '#09a3d5',
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'color': 'white', 'font': 'Source Sans Pro'}
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displacy.serve(doc, style='dep', options=options)
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+codepen("39c02c893a84794353de77a605d817fd", 360)
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+h(3, "dep-long-text") Visualizing long texts
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+tag-new("2.0.12")
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p
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| Long texts can become difficult to read when displayed in one row, so
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| it's often better to visualize them sentence-by-sentence instead. As of
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| v2.0.12, #[code displacy] supports rendering both
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| #[+api("doc") #[code Doc]] and #[+api("span") #[code Span]] objects, as
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| well as lists of #[code Doc]s or #[code Span]s. Instead of passing the
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| full #[code Doc] to #[code displacy.serve], you can also pass in a list
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| of the #[code doc.sents]. This will create one visualization for each
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| sentence.
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+code.
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import spacy
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from spacy import displacy
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nlp = spacy.load('en')
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text = u"""In ancient Rome, some neighbors live in three adjacent houses. In the center is the house of Senex, who lives there with wife Domina, son Hero, and several slaves, including head slave Hysterium and the musical's main character Pseudolus. A slave belonging to Hero, Pseudolus wishes to buy, win, or steal his freedom. One of the neighboring houses is owned by Marcus Lycus, who is a buyer and seller of beautiful women; the other belongs to the ancient Erronius, who is abroad searching for his long-lost children (stolen in infancy by pirates). One day, Senex and Domina go on a trip and leave Pseudolus in charge of Hero. Hero confides in Pseudolus that he is in love with the lovely Philia, one of the courtesans in the House of Lycus (albeit still a virgin)."""
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doc = nlp(text)
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sentence_spans = list(doc.sents)
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displacy.serve(sentence_spans, style='dep')
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