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=cD0yMDE5LTA2LTE3KzE5JTNBNTElM0E0OS40OTIyMjUlMkIwMCUzQTAw&format=api
https://api.plot.ly/v2/plots?cursor=cD0yMDE5LTA2LTE3KzE5JTNBMzclM0E1OS42Mzc0MzElMkIwMCUzQTAw&format=api", "previous": "https://api.plot.ly/v2/plots?cursor=cj0xJnA9MjAxOS0wNi0xNysxOSUzQTUxJTNBNDcuNDU3OTAxJTJCMDAlM0EwMA%3D%3D&format=api", "results": [ { "creation_time": "2019-06-17T19:51:47.457901Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~krisdamato/64.embed", "fid": "krisdamato:64", "filename": "pandas_table_0", "filetype": "plot", "img_url": "https://storage.googleapis.com/plotly-prod-images/krisdamato/64/9_DTZ3J37W27JPMHDZ7DHHRK3MXSGFS4.png", "image_urls": { "default": "https://storage.googleapis.com/plotly-prod-images/krisdamato/64/2_84UBJ0MHVCDHU2T106BP4DI4CUPFAM.png", "block-thumb": "https://storage.googleapis.com/plotly-prod-images/krisdamato/64/8_U3SCAT1C35WJ51PGJRWTLDO8REBIPZ.png", "list-thumb": "https://storage.googleapis.com/plotly-prod-images/krisdamato/64/9_DTZ3J37W27JPMHDZ7DHHRK3MXSGFS4.png" }, "api_urls": { "files": "https://api.plotly.com/v2/files/krisdamato:64", "plots": "https://api.plotly.com/v2/plots/krisdamato:64", "parent": "https://api.plotly.com/v2/folders/home?user=krisdamato" }, "owner": "krisdamato", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 0, "web_url": "https://chart-studio.plotly.com/~krisdamato/64/", "world_readable": true, "date_modified": "2019-06-17T19:51:58.389Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~krisdamato/64/", "current_user_permission": "read", "is_theme": null, "is_template": null, "autosize": true, "caption": "", "figure": { "data": [ { "uid": "5cd2893a-9139-11e9-86a1-d8cb8a81f00d", "type": "table", "cells": { "fill": { "color": "#F5F8FF" }, "alignsrc": "krisdamato:65:4ae7cd", "valuessrc": "krisdamato:65:-4ae7cd,067eb2" }, "header": { "fill": { "color": "#C2D4FF" }, "alignsrc": "krisdamato:65:4ae7cd", "valuessrc": "krisdamato:65:067eb2" } } ], "layout": {} }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~krisdamato", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/84.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-11.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2018-07-09 13:00:40", "mapbox_access_tokens": null, "has_password": null, "username": "krisdamato", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2019-06-17T19:48:51.521252Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~andres.cely/28.embed", "fid": "andres.cely:28", "filename": "bar2", "filetype": "plot", "img_url": "https://api.plotly.com/v2/files/andres.cely:28/image?image_name=list-thumb", "image_urls": { "default": "https://api.plotly.com/v2/files/andres.cely:28/image?image_name=default", "block-thumb": "https://api.plotly.com/v2/files/andres.cely:28/image?image_name=block-thumb", "list-thumb": "https://api.plotly.com/v2/files/andres.cely:28/image?image_name=list-thumb" }, "api_urls": { "files": "https://api.plotly.com/v2/files/andres.cely:28", "plots": "https://api.plotly.com/v2/plots/andres.cely:28", "parent": "https://api.plotly.com/v2/folders/home?user=andres.cely" }, "owner": "andres.cely", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 2, "web_url": "https://chart-studio.plotly.com/~andres.cely/28/", "world_readable": true, "date_modified": "2019-06-17T19:52:26.735Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~andres.cely/28/", "current_user_permission": "read", "is_theme": null, "is_template": null, "autosize": true, "caption": "", "figure": { "data": [ { "uid": "300aa1d7-f986-4c28-8a7d-1101554a9be8", "type": "bar", "xsrc": "andres.cely:29:771355", "ysrc": "andres.cely:29:7e3560" } ], "layout": {} }, "height": null, "width": null, "user": { "profile_url": "https://chart-studio.plotly.com/~andres.cely", "avatar_url": "https://storage.googleapis.com/plotly-prod-profiles/66.jpg", "background_url": "https://storage.googleapis.com/plotly-prod-profiles/bg-2.jpg", "bio": "", "nickname": "", "website": "", "stream_tokens": null, "feature_set_id": null, "csrf_token": null, "date_joined": "2018-06-20 14:38:17", "mapbox_access_tokens": null, "has_password": null, "username": "andres.cely", "email": null, "is_active": null, "readonly": null, "is_dash_creator": null, "dash_created_count": null, "is_chart_creator": null, "charts_created_count": null } }, { "creation_time": "2019-06-17T19:46:53.932762Z", "comments": { "results": [], "count": 0 }, "parented": true, "embed_url": "https://chart-studio.plotly.com/~prototype/589.embed", "fid": "prototype:589", "filename": "Plot 589", "filetype": "plot", "img_url": "https://api.plotly.com/v2/files/prototype:589/image?image_name=list-thumb", "image_urls": { "default": "https://api.plotly.com/v2/files/prototype:589/image?image_name=default", "block-thumb": "https://api.plotly.com/v2/files/prototype:589/image?image_name=block-thumb", "list-thumb": "https://api.plotly.com/v2/files/prototype:589/image?image_name=list-thumb" }, "api_urls": { "files": "https://api.plotly.com/v2/files/prototype:589", "plots": "https://api.plotly.com/v2/plots/prototype:589", "parent": "https://api.plotly.com/v2/folders/home?user=prototype" }, "owner": "prototype", "parent": -1, "preview": "", "referencers": [], "references": [], "title": "", "views": 12325, "web_url": "https://chart-studio.plotly.com/~prototype/589/", "world_readable": true, "date_modified": "2021-07-20T17:16:46.367Z", "stars": { "results": [], "count": 0 }, "collaborators": { "results": [], "count": 0 }, "subfolder_count": null, "refresh_interval": null, "organize_view_url": "https://chart-studio.plotly.com/~prototype/589/", "current_user_permission": "read", "is_theme": null, "is_template": false, "autosize": true, "caption": "", "figure": { "data": [ { "line": { "width": 3 }, "meta": { "columnNames": { "x": "timestamp", "y": "weight" } }, "mode": "lines", "name": "Total Weight of Kegerator", "type": "scatter", "xsrc": "prototype:588:8e724e", "ysrc": "prototype:588:9e6edc", "connectgaps": true }, { "line": { "color": "rgb(255, 0, 0)", "width": 1 }, "meta": { "columnNames": { "x": "timestamp", "y": "bottom of 1st keg" } }, "mode": "lines", "name": "Keg 1 Empty", "type": "scatter", "xsrc": "prototype:588:8e724e", "ysrc": "prototype:588:d0e988", "stackgroup": null, "connectgaps": true }, { "line": { "color": "rgb(255, 255, 0)", "width": 1 }, "meta": { "columnNames": { "x": "timestamp", "y": "bottom of 2nd keg" } }, "mode": "lines", "name": "Keg 2 Empty", "type": "scatter", "xsrc": "prototype:588:8e724e", "ysrc": "prototype:588:aad505", "stackgroup": null, "connectgaps": true } ], "frames": [], "layout": { "title": { "font": { "size": 47 }, "text": "Cold Brew Scale" }, "xaxis": { "type": "date", "dtick": 0, "range": [ "2019-06-08 12:54:55.301", "2019-07-17 13:43:18.433" ], "tick0": "2000-01-01 0", "title": { "text": "Timestamp" }, "nticks": 0, "showline": false, "tickmode": "linear", "autorange": true }, "yaxis": { "type": "linear", "range": [ 79.13389205555555, 218.85611094444445 ], "title": { "text": "Weight" }, "autorange": true }, "images": [ { "x": 0.89, "y": 1, "sizex": 0.1, "sizey": 0.1, "source": 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