Plots List
Plots
This endpoint handles manipulation of Plotly plot files.
Reference
Authorization
Any user with or without a Plotly account may view public plots. For private plots, see authentication.
Actions
list
Listing all public plots can be done via a GET request to this endpoint.
By default, plots will be listed in order of date created. The order_by
query parameter is accepted at this endpoint. Currently, only ordering by
views is supported. It is possible to filter the plots by quality
with min_quality or max_quality as query parameter.
Example:
// GET https://api.plotly.com/v2/plots/ ---> 200
// GET https://api.plotly.com/v2/plots/?order_by=-views ---> 200
// GET https://api.plotly.com/v2/plots/?min_quality=5 ---> 200
// GET https://api.plotly.com/v2/plots/?max_quality=5 ---> 200
feed
Listing all handpicked feed plots can be done via a GET request to this endpoint. By default, plots will be listed in a random order.
Example:
// GET https://api.plotly.com/v2/plots/feed ---> 200
create
You can create new plot resources here. The only required field is 'figure'. Currently, the figure is restricted to only contain references to grid data. That is, this will fail if raw data arrays are passed in. To create and manipulate underlying grids for plots, see the grids endpoint.
Example:
// This fails because a figure field is required.
// POST https://api.plotly.com/v2/plots ---> 400 Bad Request
{}
// This fails because the figure has raw data
//POST https://api.plotly.com/v2/plots ---> 400 Bad Request
{
"figure": {"data": [{"y": ['this', 'is', 'raw', 'data']}]}
}
// This succeeds because the figure has src keys, not raw data.
//POST https://api.plotly.com/v2/plots ---> 200 OK
{
"figure": {"data": [{"ysrc": "sven:88:u8nd62"}]}
}
When creating a grid, you can optionally specify a source_fid to specify where a plot has come from:
- source_fid: the fid of a plot that was copied (and presumably edited) to produce this one
detail
There is a lot of meta information stored about plot files including filename, title, share_url, and content_url to name a few.
This information can only be reached with a GET to this endpoint.
Example:
// GET https://api.plotly.com/v2/plots/iheartgraphs:90
content
The contents of a plot can be downloaded via the content resource. The plot
content contains referenced grid/column data by default. If you wish to
return the raw grid/column data, the inline_data=true query must be included
in the request url. The Content-Type header will be appropriately set for the
response body.
Alternatively, you can set ?map_data=unreadable to append a mapping of
sources to data that belongs to grids which are unreadable for the
requestor. This is useful when you have read access to another users plot,
but that plot contains grid references which you don't have access to.
Examples:
// Returns referenced grid/column data
// GET https://api.plotly.com/v2/plots/iheartgraphs:90/content ---> 200 OK
// Returns full grid/column data
// GET https://api.plotly.com/v2/plots/iheartgraphs:90/content?inline_data=true ---> 200 OK
// Returns full grid/column data when requestor doesn't have permission
// to read the referenced grid.
// GET https://api.plotly.com/v2/plots/iheartgraphs:90/content?map_data=unreadable ---> 200 OK
GET /v2/plots/?cursor=cD0yMDI1LTA4LTEyKzA4JTNBMTElM0E0Ny43NzIwNzklMkIwMCUzQTAw&format=api
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