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Add force graph to docs and example dataset (#630)

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Charlotte Weaver
2019-03-05 20:59:54 -08:00
committed by GitHub
parent 82493d1019
commit 68dfbcc2eb
2 changed files with 2 additions and 2 deletions
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README.md
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@@ -37,7 +37,7 @@ You should see your web browser open with the following
There are several options available, such as: There are several options available, such as:
- `--layout` to specify the layout as `tsne` or `umap` - `--layout` to specify the layout as `tsne`, `umap`, `draw_graph_fa`, or `draw_graph_fr`
- `--title` to show a title on the explorer - `--title` to show a title on the explorer
- `--open` to automatically open the web browser after launching (OS X only) - `--open` to automatically open the web browser after launching (OS X only)
@@ -57,7 +57,7 @@ The `launch` command assumes that the data is stored in the `.h5ad` format from
- an `obs` field has a unique identifier for every cell (you can specify which field to use with the `--obs-names` option, by default it will use the value of `data.obs_names`) - an `obs` field has a unique identifier for every cell (you can specify which field to use with the `--obs-names` option, by default it will use the value of `data.obs_names`)
- a `var` field has a unique identifier for every gene (you can specify which field to use with the `--var-names` option, by default it will use the value of `data.var_names`) - a `var` field has a unique identifier for every gene (you can specify which field to use with the `--var-names` option, by default it will use the value of `data.var_names`)
- an `obsm` field contains the two-dimensional coordinates for the layout that you want to render (e.g. `X_tsne` for the `tsne` layout or `X_umap` for the `umap` layout) - an `obsm` field contains the two-dimensional coordinates for the layout that you want to render (e.g. `X_umap` for the `umap` layout)
- any additional `obs` fields will be rendered as per-cell continuous or categorical metadata by the app (e.g. `louvain` cluster assignments) - any additional `obs` fields will be rendered as per-cell continuous or categorical metadata by the app (e.g. `louvain` cluster assignments)
### prepare ### prepare
example-dataset/pbmc3k.h5ad
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