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Clean up docs #425
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to perform this kind of analyses. | ||
This manual presents an overview of how to use the Chemiscope viewer in its standard | ||
implementations, including the web tool and the Jupyter widget. It does not discuss in | ||
detail how to build a low-dimensional representation of a chemical dataset - Chemiscope |
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detail how to build a low-dimensional representation of a chemical dataset - Chemiscope | |
detail how to build a low-dimensional representation of a chemical dataset - chemiscope |
inside a jupyter notebook. | ||
This section starts introducing the concept of structural and physical properties, | ||
before describing how to use the different panels in the standard visualization. It | ||
continues by presenting how you can generate a Chemiscope input file to load on |
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continues by presenting how you can generate a Chemiscope input file to load on | |
continues by presenting how you can generate a chemiscope input file to load on |
continues by presenting how you can generate a Chemiscope input file to load on | ||
https://chemiscope.org, as well as within a standalone HTML viewer that works offline. | ||
See the :ref:`Python module documentation <python-module>` for how to interact with | ||
Chemiscope in a script, or to explore a dataset directly inside a Jupyter notebook. |
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Chemiscope in a script, or to explore a dataset directly inside a Jupyter notebook. | |
chemiscope in a script, or to explore a dataset directly inside a Jupyter notebook. |
resulting JSON file can be quite large and thus harder to share with | ||
collaborators, the default chemiscope interface also allows to load JSON files | ||
compressed with gzip. | ||
The default Chemiscope interface loads all structures and properties of a dataset from a |
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The default Chemiscope interface loads all structures and properties of a dataset from a | |
The default chemiscope interface loads all structures and properties of a dataset from a |
The default Chemiscope interface loads all structures and properties of a dataset from a | ||
single JSON file. This section describe how to create such a file using provided Python | ||
tools or by manually writing the JSON. As JSON files can become large and hard to share | ||
with collaborators Chemiscope also supports loading JSON files compressed with gzip. |
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with collaborators Chemiscope also supports loading JSON files compressed with gzip. | |
with collaborators chemiscope also supports loading JSON files compressed with gzip. |
structural representations or reduced-dimensionality features, using its command-line | ||
interface. To generate these quantities, external packages like `scikit-matter`_ or | ||
`ASAP`_ can be used. The ASAP package, for instance, can produce directly output in | ||
Chemiscope-compatible format. |
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Chemiscope-compatible format. | |
chemiscope-compatible format. |
`ASAP`_ can be used. The ASAP package, for instance, can produce directly output in | ||
Chemiscope-compatible format. | ||
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Alternatively, Chemiscope's :ref:` :py:func:chemiscope.explore <_explore-example>` |
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Alternatively, Chemiscope's :ref:` :py:func:chemiscope.explore <_explore-example>` | |
Alternatively, chemiscope's :ref:` :py:func:chemiscope.explore <_explore-example>` |
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Quick overview | ||
~~~~~~~~~~~~~~ | ||
The Chemiscope JSON file consists of these top-level entries: |
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The Chemiscope JSON file consists of these top-level entries: | |
The chemiscope JSON file consists of these top-level entries: |
@@ -11,22 +11,22 @@ Online visualizer at chemiscope.org | |||
Uploading datasets | |||
^^^^^^^^^^^^^^^^^^ | |||
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The simplest way to share chemiscope dataset is to send the corresponding file | |||
The simplest way to share the chemiscope dataset is to send the corresponding file |
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The simplest way to share the chemiscope dataset is to send the corresponding file | |
The simplest way to share a chemiscope dataset is to send the corresponding file |
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Below is the detailed description of the values types and examlpes for each entry. | ||
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Metadata (``meta``) |
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I still need to go through this section with a local build of the docs!
The idea is to check the examples in the documentation are actual & do a small clean up (work in progress)