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=cD0yMDI1LTA4LTEyKzA3JTNBMjclM0ExMS42MTAyODMlMkIwMCUzQTAw&format=api
{ "next": "https://api.plotly.com/v2/plots?cursor=cD0yMDI1LTA4LTExKzE2JTNBMzUlM0E1Mi4xNTc2NTIlMkIwMCUzQTAw&format=api", "previous": "https://api.plotly.com/v2/plots?cursor=cj0xJnA9MjAyNS0wOC0xMiswNiUzQTE0JTNBMDEuMzIzMTE5JTJCMDAlM0EwMA%3D%3D&format=api", "results": [ { "creation_time": "2025-08-12T06:14:01.323119Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~diannelauc/87.embed", "fid": "diannelauc:87", "filename": "28th day with fly ash", "filetype": "plot", "img_url": "https://api.plotly.com/v2/files/diannelauc:87/image?image_name=list-thumb", "image_urls": { "default": "https://api.plotly.com/v2/files/diannelauc:87/image?image_name=default", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/diannelauc/87/8_5F0GZXT8R0A2AIY3XSDDYNNZ4K93O7.png", "list-thumb": "https://api.plotly.com/v2/files/diannelauc:87/image?image_name=list-thumb" }, "api_urls": { "files": "https://api.plotly.com/v2/files/diannelauc:87", "plots": "https://api.plotly.com/v2/plots/diannelauc:87", "parent": "https://api.plotly.com/v2/folders/home?user=diannelauc" }, "owner": "diannelauc", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 136, "web_url": "https://chart-studio.plotly.com/~diannelauc/87/", "world_readable": true, "date_modified": "2025-08-12T06:31:21.509Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~diannelauc/87/", "current_user_permission": "read", "is_theme": null, "is_template": false, "autosize": true, "caption": "", "figure": { "data": [ { "meta": { "columnNames": { "y": "A" } }, "mode": "markers", "name": "Control", "type": "box", "ysrc": "diannelauc:86:13edea", "marker": { "line": { "width": 0 }, "opacity": 1 }, "boxmean": false, "hoveron": "boxes+points", "notched": false, "visible": true, "boxpoints": "outliers", 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"width": 0 }, "opacity": 1 }, "boxmean": false, "visible": true, "boxpoints": "outliers", "hoverinfo": "name", "hovertemplate": "<br>" }, { "meta": { "columnNames": { "y": "F" } }, "name": "5% MSSA 30% CDW", "type": "box", "ysrc": "diannelauc:86:7ae72f", "marker": { "line": { "width": 0 }, "opacity": 1 }, "boxmean": false, "visible": true, "boxpoints": "outliers", "hoverinfo": "name", "hovertemplate": "<br>" }, { "meta": { "columnNames": { "y": "G" } }, "name": "5% MSSA 50% CDW", "type": "box", "ysrc": "diannelauc:86:6f3228", "marker": { "line": { "width": 0 }, "opacity": 1 }, "boxmean": false, "boxpoints": "outliers", "hoverinfo": "name", "hovertemplate": "<br>" }, { "meta": { "columnNames": { "y": "H" } }, "name": "5% MSSA 70% CDW", "type": "box", "ysrc": "diannelauc:86:483831", "marker": { "line": { "width": 0 }, "opacity": 1 }, "boxmean": false, "boxpoints": "outliers", "hoverinfo": "name", "hovertemplate": "<br>" }, { "meta": { "columnNames": { "y": "I" } }, "name": "10% MSSA 0% CDW", "type": "box", "ysrc": "diannelauc:86:a71349", "marker": { "line": { "width": 0 }, "opacity": 1 }, "boxmean": false, "boxpoints": "outliers", "hoverinfo": "name", "hovertemplate": "<br>" }, { "meta": { "columnNames": { "y": "J" } }, "name": "10% MSSA 50% CDW", "type": "box", "ysrc": "diannelauc:86:8a7877", "marker": { "line": { "width": 0 }, "opacity": 1 }, "boxmean": false, "boxpoints": "outliers", "hoverinfo": "name", "hovertemplate": "<br>" }, { "meta": { "columnNames": { "y": "K" } }, "name": "15% MSSA 30% CDW", "type": "box", "ysrc": "diannelauc:86:2cc518", "marker": { "line": { "width": 0 }, "color": "rgb(0, 150, 255)", "opacity": 1 }, "boxmean": false, "visible": true, "boxpoints": "outliers", "hoverinfo": "name", "hovertemplate": "<br>" }, { "meta": { "columnNames": { "x": "", "y": "" } }, "mode": "lines", "type": "scatter", "xaxis": "x", "yaxis": "y", "visible": "legendonly", "boxpoints": false }, { "meta": { "columnNames": { "y": "N" } }, "mode": "lines", "name": "5% 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null } }, { "creation_time": "2025-08-12T03:52:14.789945Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~bradshawlaura/1.embed", "fid": "bradshawlaura:1", "filename": "body-fat-percent", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/bradshawlaura/1/9_BBVCYGTR5OEUTXTXKIGCFBXY1SKUVL.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/bradshawlaura/1/2_T2EUB0YDAR0WG8S1GY5GLUADGF82TH.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/bradshawlaura/1/8_P29ATQSUFKC0QU127H72017I309BSE.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/bradshawlaura/1/9_BBVCYGTR5OEUTXTXKIGCFBXY1SKUVL.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/bradshawlaura:1", "plots": "https://api.plotly.com/v2/plots/bradshawlaura:1", "parent": "https://api.plotly.com/v2/folders/home?user=bradshawlaura" }, "owner": "bradshawlaura", 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