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@@ -1,7 +1,5 @@
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# File and output formats
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-## Overview
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-
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JupyterLab provides a unified architecture for viewing and editing data in a
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wide variety of formats. This model applies whether the data is in a file or is
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provided by a kernel as rich cell output in a notebook or code console.
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@@ -38,9 +36,10 @@ display({'text/html': '<h1>Hello World</h1>', 'text/plain': 'Hello World'}, raw=
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Other Jupyter kernels offer similar APIs.
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-## Formats
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+The rest of this section highlights some of the common data formats that
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+JupyterLab supports.
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-### Markdown
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+## Markdown
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* File extension: `.md`
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* MIME type: `text/markdown`
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@@ -56,7 +55,7 @@ The Markdown syntax supported in this mode is the same syntax used in the
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Jupyter Notebook (for example, LaTeX equations work). As seen in the animation,
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edits to the Markdown source are immediately reflected in the rendered version.
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-### Images
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+## Images
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* File extensions: `.bmp`, `.gif`, `.jpeg`, `.jpg`, `.png`, `.svg`
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* MIME types: `image/bmp`, `image/gif`, `image/jpeg`, `image/png`, `image/svg+xml`
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@@ -65,21 +64,22 @@ JupyterLab supports image data in cell output and as files in the above formats.
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[animation]
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-### HTML
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+## CSV
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-* File extension: `.html`
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-* MIME type: `text/html`
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+* File extension: `.csv`
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+* MIME type: None
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-JupyterLab supports rendering HTML in cell output and editing HTML files as text in the file editor.
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+Files with rows of comma-separated values (CSV files) are a common
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+format for tabular data. The default viewer for CSV files in JupyterLab is a high-performance data grid viewer:
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-### LaTeX
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+[animation]
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-* File extension: `.tex`
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-* MIME type: `text/latex`
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+To edit a CSV file as a text file, right-click on the file in the file browser
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+and select the “Editor” item in the “Open With…” submenu:
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-JupyterLab supports rendering LaTeX in cell output and editing LaTeX files as text in the file editor.
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+[animation]
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-### JSON
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+## JSON
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* File extension: `.json`
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* MIME type: `application/json`
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@@ -93,22 +93,22 @@ and select the “Editor” item in the “Open With…” submenu:
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[animation]
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-### CSV
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+## HTML
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-* File extension: `.csv`
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-* MIME type: None
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+* File extension: `.html`
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+* MIME type: `text/html`
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-Files with rows of comma-separated values (CSV files) are a common
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-format for tabular data. The default viewer for CSV files in JupyterLab is a high-performance data grid viewer:
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+JupyterLab supports rendering HTML in cell output and editing HTML files as text in the file editor.
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-[animation]
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+## LaTeX
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-To edit a CSV file as a text file, right-click on the file in the file browser
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-and select the “Editor” item in the “Open With…” submenu:
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+* File extension: `.tex`
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+* MIME type: `text/latex`
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+
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+JupyterLab supports rendering LaTeX in cell output and editing LaTeX files as text in the file editor.
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-[animation]
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-### PDF
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+## PDF
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* File extension: `.pdf`
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* MIME type: `application/pdf`
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@@ -118,7 +118,7 @@ JupyterLab, double-click on the file in the file browser:
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[animation]
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-### Vega/Vega-Lite
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+## Vega/Vega-Lite
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Vega:
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@@ -163,7 +163,7 @@ or Vegas (Scala/Spark).
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A JupyterLab extension that supports Vega 3.x and Vega-Lite 2.x can be found
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[here](https://github.com/jupyterlab/jupyter-renderers).
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-### Virtual DOM
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+## Virtual DOM
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* File extension: `.vdom`, `.json`
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* MIME type: `application/vdom.v1+json`
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Jason Grout