GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — GitHub - typpo/quickchart-python: Python client for quickchart.io image charts web service

BranchesTags
Open more actions menu

Latest commit

 

History

39 Commits
39 Commits

Folders and files

NameName
Last commit message
Last commit date
.github/workflows
.github/workflows
 
 
examples
examples
 
 
quickchart
quickchart
 
 
scripts
scripts
 
 
.gitignore
.gitignore
 
 
CHANGELOG.md
CHANGELOG.md
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
poetry.lock
poetry.lock
 
 
pyproject.toml
pyproject.toml
 
 
tests.py
tests.py
 
 

Repository files navigation

quickchart-python

CI PyPI PyPI - License

A Python client for the quickchart.io image charts web service.

Installation

Use the quickchart library in this project, or install through pip:

pip install quickchart.io

Version 3.0.0 and later require Python 3.9 or later. If you need support for Python 3.7 or 3.8, use version 2.0.0; for earlier versions of Python, use version 1.0.1.

Usage

This library provides a QuickChart class. Import and instantiate it. Then set properties on it and specify a Chart.js config:

from quickchart import QuickChart

qc = QuickChart()
qc.width = 500
qc.height = 300
qc.config = {
    "type": "bar",
    "data": {
        "labels": ["Hello world", "Test"],
        "datasets": [{
            "label": "Foo",
            "data": [1, 2]
        }]
    }
}

Use get_url() on your quickchart object to get the encoded URL that renders your chart:

print(qc.get_url())
# https://quickchart.io/chart?c=%7B%22chart%22%3A+%7B%22type%22%3A+%22bar%22%2C+%22data%22%3A+%7B%22labels%22%3A+%5B%22Hello+world%22%2C+%22Test%22%5D%2C+%22datasets%22%3A+%5B%7B%22label%22%3A+%22Foo%22%2C+%22data%22%3A+%5B1%2C+2%5D%7D%5D%7D%7D%7D&w=600&h=300&bkg=%23ffffff&devicePixelRatio=2.0&f=png

If you have a long or complicated chart, use get_short_url() to get a fixed-length URL using the quickchart.io web service (note that these URLs only persist for a short time unless you have a subscription):

print(qc.get_short_url())
# https://quickchart.io/chart/render/f-a1d3e804-dfea-442c-88b0-9801b9808401

The URLs will render an image of a chart:

Using Javascript functions in your chart

Chart.js sometimes relies on Javascript functions (e.g. for formatting tick labels). There are a couple approaches:

  • Build chart configuration as a string instead of a Python object. See examples/simple_example_with_function.py.
  • Build chart configuration as a Python object and include a placeholder string for the Javascript function. Then, find and replace it.
  • Use the provided QuickChartFunction class. See examples/using_quickchartfunction.py for a full example.

A short example using QuickChartFunction:

qc = QuickChart()
qc.config = {
    "type": "bar",
    "data": {
        "labels": ["A", "B"],
        "datasets": [{
            "label": "Foo",
            "data": [1, 2]
        }]
    },
    "options": {
        "scales": {
            "yAxes": [{
                "ticks": {
                    "callback": QuickChartFunction('(val) => val + "k"')
                }
            }],
            "xAxes": [{
                "ticks": {
                    "callback": QuickChartFunction('''function(val) {
                      return val + '???';
                    }''')
                }
            }]
        }
    }
}

print(qc.get_url())

Customizing your chart

You can set the following properties:

config: dict or str

The actual Chart.js chart configuration.

If your chart configuration is JSON-compatible, it's usually easiest to pass an object (example). If your chart configuration contains a Javascript function, you may pass it as a string (example) or use QuickChartFunction (example).

width: int

Width of the chart image in pixels. Defaults to 500

height: int

Height of the chart image in pixels. Defaults to 300

format: str

Format of the chart. Defaults to png. svg is also valid.

background_color: str

The background color of the chart. Any valid HTML color works. Defaults to #ffffff (white). Also takes rgb, rgba, and hsl values.

device_pixel_ratio: float

The device pixel ratio of the chart. This will multiply the number of pixels by the value. This is usually used for retina displays. Defaults to 1.0.

version: str

The version of Chart.js to use. Acceptable values are documented here. Usually used to select Chart.js 3+.

scheme: str

The protocol to use. Defaults to https.

host: str

Override the host of the chart render server. Defaults to quickchart.io.

key: str

Set an API key that will be included with the request.

timeout: float

Timeout in seconds for the network requests made by get_bytes(), get_short_url(), and to_file(). Defaults to 60.0. Set to None to disable the timeout.

Getting URLs

There are two ways to get a URL for your chart object.

get_url(): str

Returns a URL that will display the chart image when loaded.

get_short_url(): str

Uses the quickchart.io web service to create a fixed-length chart URL that displays the chart image. Returns a URL such as https://quickchart.io/chart/render/f-a1d3e804-dfea-442c-88b0-9801b9808401.

Note that short URLs expire after a few days for users of the free service. You can subscribe to keep them around longer.

Other functionality

get_bytes()

Returns the bytes representing the chart image.

to_file(path: str)

Writes the chart image to a file path.

More examples

Checkout the examples directory to see other usage.

Development

This project uses Poetry for packaging and dependency management.

# Install dependencies (including dev tools)
poetry install --with dev

# Run the test suite
poetry run python -m pytest tests.py

# Lint and format
poetry run ruff check .
poetry run ruff format .

The tests that hit the live quickchart.io service are skipped by default. Set QUICKCHART_NETWORK_TESTS=1 to run them:

QUICKCHART_NETWORK_TESTS=1 poetry run python -m pytest tests.py

About

Python client for quickchart.io image charts web service

quickchart.io

Topics

chart-apipython-charts

Resources

Readme
MIT license
Activity

Stars

67 stars

Watchers

1 watching

Forks

10 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

You are visitor 01402520 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.