Chartkick.py

Create beautiful JavaScript charts with one line of Python. No more fighting with mapping libraries!

See it in action

Chartkick.py 1.0 was recently released - see how to upgrade

Quick Start

Run:

pip install chartkick

Then follow the instructions for your web framework:

• Django

This sets up Chartkick with Chart.js. For other charting libraries, see these instructions.

Django

Add to INSTALLED_APPS in settings.py

INSTALLED_APPS = [
    'chartkick.django',
    # ...
]

Load the JavaScript

{% load static %}

<script src="{% static 'chartkick/Chart.bundle.js' %}"></script>
<script src="{% static 'chartkick/chartkick.js' %}"></script>

Create a chart in a view

from chartkick.django import PieChart

def index(request):
    chart = PieChart({'Blueberry': 44, 'Strawberry': 23})
    return render(request, 'home/index.html', {'chart': chart})

And add it to the template

{{ chart }}

Charts

Line chart

LineChart({'2023-01-01': 11, '2023-01-02': 6})

Pie chart

PieChart({'Blueberry': 44, 'Strawberry': 23})

Column chart

ColumnChart({'Sun': 32, 'Mon': 46, 'Tue': 28})

Bar chart

BarChart({'Work': 32, 'Play': 1492})

Area chart

AreaChart({'2021-01-01': 11, '2021-01-02': 6})

Scatter chart

ScatterChart([[174.0, 80.0], [176.5, 82.3]], xtitle='Size', ytitle='Population')

Geo chart - Google Charts

GeoChart({'United States': 44, 'Germany': 23, 'Brazil': 22})

Timeline - Google Charts

Timeline([['Washington', '1789-04-29', '1797-03-03'], ['Adams', '1797-03-03', '1801-03-03']])

Multiple series

data = [
    {'name': 'Workout', 'data': {'2021-01-01': 3, '2021-01-02': 4}},
    {'name': 'Call parents', 'data': {'2021-01-01': 5, '2021-01-02': 3}}
]
LineChart(data)

Data

Data can be a dictionary, list, or URL.

Dictionary

LineChart({'2023-01-01': 2, '2023-01-02': 3})

List

LineChart([['2023-01-01', 2], ['2023-01-02', 3]])

URL

Make your pages load super fast and stop worrying about timeouts. Give each chart its own endpoint.

LineChart('/charts/tasks')

Options

Width and height

LineChart(data, width='800px', height='500px')

Min and max values

LineChart(data, min=1000, max=5000)

min defaults to 0 for charts with non-negative values. Use None to let the charting library decide.

Min and max for x-axis - Chart.js

LineChart(data, xmin='2021-01-01', xmax='2022-01-01')

Colors

LineChart(data, colors=['#b00', '#666'])

Stacked columns or bars

ColumnChart(data, stacked=True)

Discrete axis

LineChart(data, discrete=True)

Label (for single series)

LineChart(data, label='Value')

Axis titles

LineChart(data, xtitle='Time', ytitle='Population')

Straight lines between points instead of a curve

LineChart(data, curve=False)

Hide points

LineChart(data, points=False)

Show or hide legend

LineChart(data, legend=False)

Specify legend position

LineChart(data, legend='bottom')

Donut chart

PieChart(data, donut=True)

Prefix, useful for currency - Chart.js, Highcharts

LineChart(data, prefix='$')

Suffix, useful for percentages - Chart.js, Highcharts

LineChart(data, suffix='%')

Set a thousands separator - Chart.js, Highcharts

LineChart(data, thousands=',')

Set a decimal separator - Chart.js, Highcharts

LineChart(data, decimal=',')

Set significant digits - Chart.js, Highcharts

LineChart(data, precision=3)

Set rounding - Chart.js, Highcharts

LineChart(data, round=2)

Show insignificant zeros, useful for currency - Chart.js, Highcharts

LineChart(data, round=2, zeros=True)

Friendly byte sizes - Chart.js

LineChart(data, bytes=True)

Specify the message when data is loading

LineChart(data, loading='Loading...')

Specify the message when data is empty

LineChart(data, empty='No data')

Refresh data from a remote source every n seconds

LineChart(url, refresh=60)

You can pass options directly to the charting library with:

LineChart(data, library={'backgroundColor': '#eee'})

See the documentation for Chart.js, Google Charts, and Highcharts for more info.

To customize datasets in Chart.js, use:

LineChart(data, dataset={'borderWidth': 10})

You can pass this option to individual series as well.

Multiple Series

You can pass a few options with a series:

• name
• data
• color
• dataset - Chart.js only
• points - Chart.js only
• curve - Chart.js only

Code

If you want to use the charting library directly, get the code with:

LineChart(data, code=True)

The code will be logged to the JavaScript console. JavaScript functions cannot be logged, so it may not be identical.

Download Charts

Chart.js only

Give users the ability to download charts. It all happens in the browser - no server-side code needed.

LineChart(data, download=True)

Safari will open the image in a new window instead of downloading.

Set the filename

LineChart(data, download={'filename': 'boom'})

Set the background color

LineChart(data, download={'background': '#ffffff'})

Set title

LineChart(data, title='Awesome chart')

Additional Charting Libraries

• Google Charts
• Highcharts

Google Charts

Load the JavaScript

{% load static %}

<script src="https://www.gstatic.com/charts/loader.js"></script>
<script src="{% static 'chartkick/chartkick.js' %}"></script>

Highcharts

Download highcharts.js and load the JavaScript

{% load static %}

<script src="{% static 'highcharts.js' %}"></script>
<script src="{% static 'chartkick/chartkick.js' %}"></script>

Multiple Libraries

If more than one charting library is loaded, choose between them with:

LineChart(data, adapter='google')  # or highcharts or chartjs

Credits

Thanks to Mher Movsisyan for creating the initial version.

Upgrading

1.0

For Django, change chartkick to chartkick.django under INSTALLED_APPS in settings.py and remove STATICFILES_DIRS. Then update charts to use classes.

from chartkick.django import LineChart

LineChart({'2023-01-01': 11, '2023-01-02': 6})

Flask is not supported yet.

History

View the changelog

Contributing

Everyone is encouraged to help improve this project. Here are a few ways you can help:

• Report bugs
• Fix bugs and submit pull requests
• Write, clarify, or fix documentation
• Suggest or add new features

To get started with development:

git clone https://github.com/ankane/chartkick.py.git
cd chartkick.py
pip install -r requirements.txt
pytest