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=cj0xJnA9MjAyNS0wNy0wNyswNSUzQTEzJTNBMTUuODkzNTQ4JTJCMDAlM0EwMA%3D%3D&format=api
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"mode": "lines", "text": "<b>Beijing ↔ Hong Kong</b><br>合作论文数: 9<br>机构:<br>Univ Hong Kong (3)<br> Chinese Univ Hong Kong (3)<br> Hong Kong Sports Inst (1)<br> Hong Kong Metropolitan Univ (1)<br> Educ Univ Hong Kong (1)", "type": "scattergeo", "latsrc": "Gestirn:2:faedb2", "lonsrc": "Gestirn:2:6d634e", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 3.953877639491069 }, "meta": { "columnNames": { "lat": "Trace 1, lat", "lon": "Trace 1, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Guangdong</b><br>合作论文数: 9<br>机构:<br>Shenzhen Univ (5)<br> Guangzhou Sport Univ (2)<br> Shenzhen Kangning Hosp (1)<br> Guangdong Ersha Sports Training Ctr (1)", "type": "scattergeo", "latsrc": "Gestirn:2:cc02f0", "lonsrc": "Gestirn:2:fe0422", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 3.6191623125197534 }, "meta": { "columnNames": { "lat": "Trace 2, lat", "lon": "Trace 2, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Sichuan</b><br>合作论文数: 7<br>机构:<br>Sichuan Normal Univ (4)<br> Univ Elect Sci & Technol China (3)", "type": "scattergeo", "latsrc": "Gestirn:2:4a98bf", "lonsrc": "Gestirn:2:c251a5", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 3.1876392038420827 }, "meta": { "columnNames": { "lat": "Trace 3, lat", "lon": "Trace 3, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Shanghai</b><br>合作论文数: 5<br>机构:<br>Shanghai Jiao Tong Univ (3)<br> Minist Educ (1)<br> East China Normal Univ (1)", "type": "scattergeo", "latsrc": "Gestirn:2:7fb23b", "lonsrc": "Gestirn:2:ab00f7", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 3.1876392038420827 }, "meta": { "columnNames": { "lat": "Trace 4, lat", "lon": "Trace 4, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Taiwan</b><br>合作论文数: 5<br>机构:<br>Natl Taiwan Sport Univ (4)<br> Natl Taiwan Normal Univ (1)", "type": "scattergeo", "latsrc": "Gestirn:2:5a02b7", "lonsrc": "Gestirn:2:b7e341", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 2.9141568686511503 }, "meta": { "columnNames": { "lat": "Trace 5, lat", "lon": "Trace 5, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Hubei</b><br>合作论文数: 4<br>机构:<br>China Univ Geosci (2)<br> Wuhan Sports Univ (1)<br> Wuhan Univ Technol (1)", "type": "scattergeo", "latsrc": "Gestirn:2:525453", "lonsrc": "Gestirn:2:1dc1b1", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 2.5794415416798357 }, "meta": { "columnNames": { "lat": "Trace 6, lat", "lon": "Trace 6, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Jiangsu</b><br>合作论文数: 3<br>机构:<br>Yangzhou Univ (3)", "type": "scattergeo", "latsrc": "Gestirn:2:8557f8", "lonsrc": "Gestirn:2:1fafce", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 1.5397207708399179 }, "meta": { "columnNames": { "lat": "Trace 7, lat", "lon": "Trace 7, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Fujian</b><br>合作论文数: 1<br>机构:<br>Xiamen Univ (1)", "type": "scattergeo", "latsrc": "Gestirn:2:58adc6", "lonsrc": "Gestirn:2:a9e119", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 1.5397207708399179 }, "meta": { "columnNames": { "lat": "Trace 8, lat", "lon": "Trace 8, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Zhejiang</b><br>合作论文数: 1<br>机构:<br>Zhejiang Normal Univ (1)", "type": "scattergeo", "latsrc": "Gestirn:2:d1003b", "lonsrc": "Gestirn:2:ddcde1", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 1.5397207708399179 }, "meta": { "columnNames": { "lat": "Trace 9, lat", "lon": "Trace 9, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Hebei</b><br>合作论文数: 1<br>机构:<br>Hebei Med Univ (1)", "type": "scattergeo", "latsrc": "Gestirn:2:cbab2e", "lonsrc": "Gestirn:2:74c2ca", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 1.5397207708399179 }, "meta": { "columnNames": { "lat": "Trace 10, lat", "lon": "Trace 10, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Shandong</b><br>合作论文数: 1<br>机构:<br>Shandong Sports Sci Res Ctr (1)", "type": "scattergeo", "latsrc": "Gestirn:2:2265e9", "lonsrc": "Gestirn:2:71299d", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 1.5397207708399179 }, "meta": { "columnNames": { "lat": "Trace 11, lat", "lon": "Trace 11, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Henan</b><br>合作论文数: 1<br>机构:<br>Henan Univ (1)", "type": "scattergeo", "latsrc": "Gestirn:2:9a6585", "lonsrc": "Gestirn:2:010df2", "hoverinfo": "text" }, { "line": { "color": "rgba(255, 127, 14, 0.6)", "width": 1.5397207708399179 }, "meta": { "columnNames": { "lat": "Trace 12, lat", "lon": "Trace 12, lon" } }, "mode": "lines", "text": "<b>Beijing ↔ Tianjin</b><br>合作论文数: 1<br>机构:<br>Tianjin Univ Sport (1)", "type": "scattergeo", "latsrc": "Gestirn:2:0abafc", "lonsrc": "Gestirn:2:3ec86c", "hoverinfo": "text" }, { "meta": { "columnNames": { "lat": "Trace 13, 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