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=cj0xJnA9MjAyNS0wNi0wOCswMiUzQTA1JTNBMzguMTk4NzcxJTJCMDAlM0EwMA%3D%3D&format=api
{ "next": "https://api.plotly.com/v2/plots?cursor=cD0yMDI1LTA2LTA4KzAzJTNBMDElM0EwNy40NDc2NjElMkIwMCUzQTAw&format=api", "previous": "https://api.plotly.com/v2/plots?cursor=cj0xJnA9MjAyNS0wNi0wOCsxMCUzQTE5JTNBMzkuMDQwNjAzJTJCMDAlM0EwMA%3D%3D&format=api", "results": [ { "creation_time": "2025-06-08T10:19:39.040603Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~Smjames388/204.embed", "fid": "Smjames388:204", "filename": "Treatment v Procedure", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/Smjames388/204/9_D7EDSL2DSO0TRQ4EB2IJGM46XY08SM.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/Smjames388/204/2_LVSLQ4B50UZCEVAGUWRVEXKAVVTZLY.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/Smjames388/204/8_YPY9YCNX6DGDM0L2NNXQ5Z7RUVXIXK.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/Smjames388/204/9_D7EDSL2DSO0TRQ4EB2IJGM46XY08SM.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/Smjames388:204", "plots": "https://api.plotly.com/v2/plots/Smjames388:204", "parent": "https://api.plotly.com/v2/folders/home?user=Smjames388" }, "owner": "Smjames388", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~Smjames388/204/", "world_readable": true, "date_modified": "2025-06-08T11:36:10.008Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~Smjames388/204/", "current_user_permission": "read", "is_theme": null, "is_template": false, "autosize": true, "caption": "", "figure": { "data": [ { "asrc": "Smjames388:171:e74aab", "bsrc": "Smjames388:171:59d0e1", "csrc": "Smjames388:171:a9d2c9", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Preventative - Procedure 1]", "type": "scatterternary", "marker": { "size": 20, "symbol": "diamond-tall" }, "legendgroup": 1, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:175:423b63", "bsrc": "Smjames388:175:c90cf5", "csrc": "Smjames388:175:61047b", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Mechanical methods]", "type": "scatterternary", "marker": { "size": 20, "symbol": "diamond-tall" }, "legendgroup": 1, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:178:61be92", "bsrc": "Smjames388:178:f6c983", "csrc": "Smjames388:178:4a8be2", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Air Abrasion]", "type": "scatterternary", "marker": { "size": 20, "symbol": "diamond-tall" }, "legendgroup": 1, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:180:dfd3e0", "bsrc": "Smjames388:180:edc129", "csrc": "Smjames388:180:237680", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Consolidation]", "type": "scatterternary", "marker": { "size": 20, "symbol": "diamond-tall" }, "legendgroup": 1, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:189:a41454", "bsrc": "Smjames388:189:8a0ca3", "csrc": "Smjames388:189:aceed2", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Coating]", "type": "scatterternary", "marker": { "size": 20, "symbol": "diamond-tall" }, "legendgroup": 1, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:193:6018eb", "bsrc": "Smjames388:193:8a191d", "csrc": "Smjames388:193:8d03d5", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Desalination]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(99, 214, 190)", "symbol": "diamond-tall" }, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:197:b5fc52", "bsrc": "Smjames388:197:9f0480", "csrc": "Smjames388:197:de795b", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Eletrochemcial treatment]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(212, 232, 44)", "symbol": "diamond-tall" }, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:201:036ca7", "bsrc": "Smjames388:201:8d29f9", "csrc": "Smjames388:201:9196f5", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Solvent]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(243, 157, 243)", "symbol": "diamond-tall" }, "visible": true, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:161:a70037", "bsrc": "Smjames388:161:7594b6", "csrc": "Smjames388:161:d189be", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Preventative - Procedure 1.1]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(31, 119, 180)" }, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:165:4c556a", "bsrc": "Smjames388:165:5c59e4", "csrc": "Smjames388:165:275f7b", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Mechanical methods]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(255, 127, 14)" }, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:168:24e5b5", "bsrc": "Smjames388:168:923752", "csrc": "Smjames388:168:203ad4", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Air Abrasion]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(44, 160, 44)", "symbol": "circle" }, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:172:57564d", "bsrc": "Smjames388:172:35f5f1", "csrc": "Smjames388:172:7ed025", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Consolidation]", "type": "scatterternary", "marker": { "line": { "width": 0 }, "size": 20, "color": "rgb(214, 39, 40)", "symbol": "circle" }, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:176:ededfe", "bsrc": "Smjames388:176:ca1a23", "csrc": "Smjames388:176:9eba37", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Coating]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(148, 103, 189)", "symbol": "circle" }, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:179:5cd7d7", "bsrc": "Smjames388:179:104fcf", "csrc": "Smjames388:179:76f620", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Desalination]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(99, 214, 190)", "symbol": "circle" }, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:186:92b61f", "bsrc": "Smjames388:186:3f3d9a", "csrc": "Smjames388:186:b80091", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Eletrochemcial treatment]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(212, 232, 44)", "symbol": "circle" }, "selectedpoints": [ 0 ] }, { "asrc": "Smjames388:173:a3927b", "bsrc": "Smjames388:173:62d135", "csrc": "Smjames388:173:87f82d", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Solvent]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(243, 157, 243)" } }, { "asrc": "Smjames388:177:04886a", "bsrc": "Smjames388:177:22be61", "csrc": "Smjames388:177:778bcd", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Other]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(63, 59, 55)" } }, { "asrc": "Smjames388:183:64e7ee", "bsrc": "Smjames388:183:9cb05a", "csrc": "Smjames388:183:dcb947", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Preventative][Procedure 2]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(31, 119, 180)", "symbol": "star-triangle-up" } }, { "asrc": "Smjames388:187:989953", "bsrc": "Smjames388:187:85e00d", "csrc": "Smjames388:187:33fe61", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Mechanical methods]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(255, 127, 14)", "symbol": "star-triangle-up" } }, { "asrc": "Smjames388:190:e2e2d4", "bsrc": "Smjames388:190:e22a53", "csrc": "Smjames388:190:8e358c", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Air Abrasion]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(44, 160, 44)", "symbol": "star-triangle-up" } }, { "asrc": "Smjames388:194:505318", "bsrc": "Smjames388:194:14cb58", "csrc": "Smjames388:194:430787", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Consolidation]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(214, 39, 40)", "symbol": "star-triangle-up" } }, { "asrc": "Smjames388:198:4a6566", "bsrc": "Smjames388:198:2d9137", "csrc": "Smjames388:198:7e16b7", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Coating]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(148, 103, 189)", "symbol": "star-triangle-up" } }, { "asrc": "Smjames388:202:71307d", "bsrc": "Smjames388:202:928aa3", "csrc": "Smjames388:202:70c68f", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Desalination]", "type": "scatterternary", "marker": { "size": 22, "color": "rgb(99, 214, 190)", "symbol": "star-triangle-up" } }, { "asrc": "Smjames388:163:4321ff", "bsrc": "Smjames388:163:02e328", "csrc": "Smjames388:163:4fefbc", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Eletrochemcial treatment]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(212, 232, 44)", "symbol": "star-triangle-up" } }, { "asrc": "Smjames388:166:a9dbca", "bsrc": "Smjames388:166:3943cd", "csrc": "Smjames388:166:fbc965", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Solvent]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(243, 157, 243)", "symbol": "star-triangle-up" } }, { "asrc": "Smjames388:169:9f0502", "bsrc": "Smjames388:169:747706", "csrc": "Smjames388:169:7a881b", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Other]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(63, 59, 55)", "symbol": "star-triangle-up" } }, { "asrc": "Smjames388:174:a5f05e", "bsrc": "Smjames388:174:2b3562", "csrc": "Smjames388:174:aeb037", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Preventative][Procedure 3]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(31, 119, 180)", "symbol": "x" } }, { "asrc": "Smjames388:206:7c1b5f", "bsrc": "Smjames388:206:28e573", "csrc": "Smjames388:206:a2d290", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Mechanical methods]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(255, 127, 14)", "symbol": "x" } }, { "asrc": "Smjames388:184:ff4546", "bsrc": "Smjames388:184:a284c1", "csrc": "Smjames388:184:7fac6c", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Air Abrasion]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(44, 160, 44)", "symbol": "x" } }, { "asrc": "Smjames388:205:797f24", "bsrc": "Smjames388:205:6433da", "csrc": "Smjames388:205:302886", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Consolidation]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(214, 39, 40)", "symbol": "x", "opacity": 0.99 } }, { "asrc": "Smjames388:191:dccf9b", "bsrc": "Smjames388:191:cd867c", "csrc": "Smjames388:191:ada84c", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Coating]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(148, 103, 189)", "symbol": "x" } }, { "asrc": "Smjames388:195:81deb1", "bsrc": "Smjames388:195:3e85ac", "csrc": "Smjames388:195:ff92fc", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Desalination]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(99, 214, 190)", "symbol": "x" } }, { "asrc": "Smjames388:199:ee431a", "bsrc": "Smjames388:199:37e3db", "csrc": "Smjames388:199:abf73d", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Eletrochemcial treatment]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(212, 232, 44)", "symbol": "x" } }, { "asrc": "Smjames388:207:525c20", "bsrc": "Smjames388:207:95f97e", "csrc": "Smjames388:207:a301a0", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Solvent]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(243, 157, 243)", "symbol": "x" } }, { "asrc": "Smjames388:167:4b5a1b", "bsrc": "Smjames388:167:a372a0", "csrc": "Smjames388:167:0b1f08", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Preventative][Procedure Average]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(31, 119, 180)", "symbol": "circle-open-dot" } }, { "asrc": "Smjames388:170:3cc125", "bsrc": "Smjames388:170:3e027f", "csrc": "Smjames388:170:3f56fd", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Mechanical methods]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(255, 127, 14)", "symbol": "circle-open-dot" } }, { "asrc": "Smjames388:181:ad8784", "bsrc": "Smjames388:181:3362c3", "csrc": "Smjames388:181:541918", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Air Abrasion]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(44, 160, 44)", "symbol": "circle-open-dot" } }, { "asrc": "Smjames388:182:345c81", "bsrc": "Smjames388:182:928acc", "csrc": "Smjames388:182:236a92", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Consolidation]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(214, 39, 40)", "symbol": "circle-open-dot" } }, { "asrc": "Smjames388:185:5bfe5e", "bsrc": "Smjames388:185:f9af3d", "csrc": "Smjames388:185:c901b1", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Coating]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(148, 103, 189)", "symbol": "circle-open-dot" } }, { "asrc": "Smjames388:188:9c95b6", "bsrc": "Smjames388:188:9714fb", "csrc": "Smjames388:188:ba8b40", "meta": { "columnNames": { "a": "A", "b": "B", "c": "C" } }, "mode": "markers", "name": "[Desalination]", "type": "scatterternary", "marker": { "size": 20, "color": "rgb(99, 214, 190)", "symbol": "circle-open-dot" } }, { "asrc": "Smjames388:192:7de43e", "bsrc": 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