Python Range Area Chart using Django

Download Python Django Chart Samples

Python Range Area Charts are used to simultaneously show low & high values over a period of time. Below example shows range area chart along with Django source-code that you can try locally.

<!-- index.html -->
{% load static %}
<html>
<head>
<title>CanvasJS Python Charts</title>
<script>
  window.onload = function () {
    var chart = new CanvasJS.Chart("chartContainer", {
      title: {
        text: "Temperature Range Variation in Sydney"
      },
      theme: "light2",
      axisY: {
        valueFormatString: "#0.##°C",
        title: "Temperature (°C)"
      },
      axisX: {
        interval: 1,
        intervalType: "month",
        valueFormatString: "MMM"
      },
      toolTip: {
        content: "{x} </br> Min: {y[0]}, Max: {y[1]}"
      },
      data: [{
        type: "rangeArea",
        xValueFormatString: "MMM YYYY",
        yValueFormatString: "#0.##°C",
        xValueType: "dateTime",
        markerSize: 0,
        dataPoints: {{ sydney_temperature_data|safe }}
      }]
    });
    chart.render();
  }
</script>
</head>
<body>
    <div id="chartContainer" style="width: 100%; height: 360px;"></div>
    <script src="{% static 'canvasjs.min.js' %}"></script>
</body>
</html>                              
from django.shortcuts import render

def index(request):
    sydney_temperature_data = [
        { "x": 1609459200000, "y": [7.722, 41.6] },
        { "x": 1612137600000, "y": [11.889, 35.2] },
        { "x": 1614556800000, "y": [9.389, 35.611] },
        { "x": 1617235200000, "y": [-1, 31.2] },
        { "x": 1619827200000, "y": [-4, 26.611] },
        { "x": 1622505600000, "y": [-2.222, 22.9] },
        { "x": 1625097600000, "y": [-4.722, 26.5] },
        { "x": 1627776000000, "y": [-3, 27.9] },
        { "x": 1630454400000, "y": [-2.611, 31.5] },
        { "x": 1633046400000, "y": [0.5, 34.3] },
        { "x": 1635724800000, "y": [5.778, 30.4] },
        { "x": 1638316800000, "y": [8.889, 38.222] }
    ]

    return render(request, 'index.html', { "sydney_temperature_data" : sydney_temperature_data })

Chart Customizations

Opacity of the filled region can be changed by setting fillOpacity. The color of the filled region & the lines that envelop the are can be changed by setting color & lineColor properties.