# Visualization

Let's see how to display the output of a pipeline on a single text.

```python

import edsnlp, edsnlp.pipes as eds

nlp = edsnlp.blank("eds")

nlp.add_pipe(eds.normalizer())

nlp.add_pipe(eds.sentences())

nlp.add_pipe(eds.covid())

nlp.add_pipe(eds.negation())

nlp.add_pipe(eds.hypothesis())

nlp.add_pipe(eds.family())

txt = "Le patient a le covid."

```

## Visualize entities in a document

To print a text and highlight the entities in it, you can use `spacy.displacy`.

```{ .python .no-check }

from spacy import displacy

doc = nlp(txt)

options = {

    # Optional colors

    # "colors": {

    #     "covid": "orange",

    #     "respiratoire": "steelblue",

    # },

}

displacy.render(doc, style="ent", options=options)

```

will render like this:

<center>

<div class="entities" style="line-height: 2.5; direction: ltr">Le patient a le

<mark class="entity" style="background: #ddd; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;">

    covid

    <span style="font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem">covid</span>

</mark>

.</div>

</center>

## Visualize entities as a table

To quickly visualize the output of a pipeline on a document, including the annotated extensions/qualifiers, you can convert the output to a DataFrame and display it.

```{ .python .no-check }

nlp.pipe([txt]).to_pandas(

    converter="ents",

    # Add any extension you want to display

    span_attributes=["negation", "hypothesis", "family"],

    # Shows the entities in doc.ents by default

    # span_getter=["ents"]

)

```

<div class="md-typeset">

<div class="md-typeset__table compact-table">

<table>

  <thead>

    <tr style="text-align: right;">

      <th>note_id</th>

      <th>start</th>

      <th>end</th>

      <th>label</th>

      <th>lexical_variant</th>

      <th>span_type</th>

      <th>negation</th>

      <th>hypothesis</th>

      <th>family</th>

    </tr>

  </thead>

  <tbody>

    <tr>

      <td>None</td>

      <td>16</td>

      <td>21</td>

      <td>covid</td>

      <td>covid</td>

      <td>ents</td>

      <td>False</td>

      <td>False</td>

      <td>False</td>

    </tr>

  </tbody>

</table>

</div>

</div>