Plotly REST API, v2

Plots

Jump to API response

This endpoint handles manipulation of Plotly plot files.

Reference

authorization
actions
- list
- feed
- create
- detail
- content
- update (same as /files)
- partial update (same as /files)

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=cj0xJnA9MjAyNS0wOC0xMSsxMyUzQTQwJTNBNDQuMDQ0MDk4JTJCMDAlM0EwMA%3D%3D&format=api

HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "next": "https://api.plotly.com/v2/plots/?cursor=cD0yMDI1LTA4LTExKzEzJTNBNDIlM0ExOS43MTgwNzglMkIwMCUzQTAw&format=api",
    "previous": "https://api.plotly.com/v2/plots/?cursor=cj0xJnA9MjAyNS0wOC0xMSsxNiUzQTUzJTNBMTIuMjU0NDc5JTJCMDAlM0EwMA%3D%3D&format=api",
    "results": [
        {
            "creation_time": "2025-08-11T16:53:12.254479Z",
            "comments": {
                "results": [],
                "count": 0
            },
            "parented": true,
            "embed_url": "https://chart-studio.plotly.com/~marsocca/30.embed",
            "fid": "marsocca:30",
            "filename": "MUTATION 11.08",
            "filetype": "plot",
            "img_url": "https://storage.googleapis.com/plotly-prod-images/marsocca/30/9_Y49N7AEYJXFBOMRF8R5W32KLIBPRVL.png",
            "image_urls": {
                "default": "https://storage.googleapis.com/plotly-prod-images/marsocca/30/2_01MKC1H91JNQM4H9117D1PEXHS8NOP.png",
                "block-thumb": "https://storage.googleapis.com/plotly-prod-images/marsocca/30/8_QAK11GDU52C8HSBW74MA6VG1LD1K79.png",
                "list-thumb": "https://storage.googleapis.com/plotly-prod-images/marsocca/30/9_Y49N7AEYJXFBOMRF8R5W32KLIBPRVL.png"
            },
            "api_urls": {
                "files": "https://api.plotly.com/v2/files/marsocca:30",
                "plots": "https://api.plotly.com/v2/plots/marsocca:30",
                "parent": "https://api.plotly.com/v2/folders/home?user=marsocca"
            },
            "owner": "marsocca",
            "parent": -1,
            "preview": "",
            "referencers": [],
            "references": [],
            "title": "",
            "views": 1,
            "web_url": "https://chart-studio.plotly.com/~marsocca/30/",
            "world_readable": true,
            "date_modified": "2025-09-01T13:32:03.361Z",
            "stars": {
                "results": [],
                "count": 0
            },
            "collaborators": {
                "results": [],
                "count": 0
            },
            "subfolder_count": null,
            "refresh_interval": null,
            "organize_view_url": "https://chart-studio.plotly.com/~marsocca/30/",
            "current_user_permission": "read",
            "is_theme": null,
            "is_template": false,
            "autosize": true,
            "caption": "",
            "figure": {
                "data": [
                    {
                        "meta": {
                            "columnNames": {
                                "ids": "A",
                                "text": "",
                                "labels": "D",
                                "values": "C",
                                "parents": "B"
                            }
                        },
                        "mode": "markers",
                        "name": "<b>#75</b>",
                        "sort": true,
                        "type": "sunburst",
                        "level": "0",
                        "idssrc": "marsocca:29:7ee108",
                        "marker": {
                            "line": {
                                "color": "rgb(253, 252, 252)",
                                "width": 3
                            }
                        },
                        "rotation": 0,
                        "textfont": {
                            "size": 30,
                            "color": "rgb(1, 10, 24)",
                            "family": "Arial"
                        },
                        "labelssrc": "marsocca:29:775402",
                        "valuessrc": "marsocca:29:a52053",
                        "parentssrc": "marsocca:29:41ff96",
                        "branchvalues": "total",
                        "texttemplate": "",
                        "insidetextfont": {
                            "size": 20,
                            "family": "Arial Black"
                        },
                        "outsidetextfont": {
                            "size": 25,
                            "family": "Arial Black"
                        },
                        "insidetextorientation": "horizontal"
                    }
                ],
                "frames": [],
                "layout": {
                    "font": {
                        "size": 20,
                        "family": "Arial Black"
                    },
                    "title": {
                        "x": 0,
                        "font": {
                            "size": 18,
                            "family": "\"Open Sans\", verdana, arial, sans-serif"
                        },
                        "text": ""
                    },
                    "xaxis": {
                        "range": [
                            -1,
                            6
                        ],
                        "autorange": true
                    },
                    "yaxis": {
                        "range": [
                            -1,
                            4
                        ],
                        "autorange": true
                    },
                    "images": [
                        {
                            "x": 0.22,
                            "y": 0.31,
                            "sizex": 0.42,
                            "sizey": 0.33,
                            "source": 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                    ],
                    "modebar": {
                        "orientation": "h"
                    },
                    "autosize": true,
                    "colorway": [
                        "#fbb4ae",
                        "#b3cde3",
                        "#ccebc5",
                        "#decbe4",
                        "#fed9a6",
                        "#ffffcc",
                        "#e5d8bd",
                        "#fddaec",
                        "#f2f2f2"
                    ],
                    "template": {
                        "data": {
                            "bar": [
                                {
                                    "type": "bar",
                                    "marker": {
                                        "colorbar": {
                                            "ticks": "",
                                            "outlinewidth": 0
                                        }
                                    }
                                }
                            ],
                            "table": [
                                {
                                    "type": "table",
                                    "cells": {
                                        "fill": {
                                            "color": "#EBF0F8"
                                        },
                                        "line": {
                                            "color": "white"
                                        }
                                    },
                                    "header": {
                                        "fill": {
                                            "color": "#C8D4E3"
                                        },
                                        "line": {
                                            "color": "white"
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                                    }
                                }
                            ],
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