Python Multi Series Spline Chart using Django

Download Python Django Chart Samples

Python Multi Series Spline Charts allows you to render multiple dataseries in the same chart. Example shows multi-series spline chart where each series is plotted with different color. It also includes Django MVT source-code that you can try running locally.

<!-- index.html -->
{% load static %}
<html>
<head>
<script>
window.onload = function () {
  var chart = new CanvasJS.Chart("chartContainer", {
    animationEnabled: true,
    theme: "light2",
    exportEnabled: true,
    title:{
      text: "Speed And Distance Time Graph"
    },
    toolTip: {
      shared: true
    },
    axisX: {
      title: "Time",
      suffix : " s"
    },
    axisY: {
      title: "Speed",
      titleFontColor: "#6D78AD",
      suffix : " m/s",
      lineThickness: 1,
      lineColor: "#6D78AD",
      tickColor: "#6D78AD"
    },
    axisY2: {
      title: "Distance",
      titleFontColor: "#51CDA0",
      suffix : " m",
      lineThickness: 1,
      lineColor: "#51CDA0",
      tickColor: "#51CDA0"
    },
    data: [{
      type: "spline",
      name: "speed",
      xValueFormatString: "#### sec",
      yValueFormatString: "#,##0.00 m/s",
      dataPoints: {{ speed_data|safe }}
    },{
      type: "spline",  
      axisYType: "secondary",
      name: "distance covered",
      yValueFormatString: "#,##0.# m",
      dataPoints: {{ distance_covered_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):

  speed_data = [
    { "x": 0, "y": 0 },
    { "x": 11, "y": 8.2 },
    { "x": 47, "y": 41.7 },
    { "x": 56, "y": 16.7 },
    { "x": 120, "y": 31.3 },
    { "x": 131, "y": 18.2 },
    { "x": 171, "y": 31.3 },
    { "x": 189, "y": 61.1 },
    { "x": 221, "y": 40.6 },
    { "x": 232, "y": 18.2 },
    { "x": 249, "y": 35.3 },
    { "x": 253, "y": 12.5 },
    { "x": 264, "y": 16.4 },
    { "x": 280, "y": 37.5 },
    { "x": 303, "y": 24.3 },
    { "x": 346, "y": 23.3 },
    { "x": 376, "y": 11.3 },
    { "x": 388, "y": 8.3 },
    { "x": 430, "y": 1.9 },
    { "x": 451, "y": 4.8 }
  ]
  distance_covered_data = [
    { "x": 0, "y": 0 },
    { "x": 11, "y": 90 },
    { "x": 47, "y": 1590 },
    { "x": 56, "y": 1740 },
    { "x": 120, "y": 3740 },
    { "x": 131, "y": 3940 },
    { "x": 171, "y": 5190 },
    { "x": 189, "y": 6290 },
    { "x": 221, "y": 7590 },
    { "x": 232, "y": 7790 },
    { "x": 249, "y": 8390 },
    { "x": 253, "y": 8440 },
    { "x": 264, "y": 8620 },
    { "x": 280, "y": 9220 },
    { "x": 303, "y": 9780 },
    { "x": 346, "y": 10780 },
    { "x": 376, "y": 11120 },
    { "x": 388, "y": 11220 },
    { "x": 430, "y": 11300 },
    { "x": 451, "y": 11400 }
  ]
  
  return render(request, 'index.html', { "speed_data" : speed_data, "distance_covered_data" : distance_covered_data })

Chart Customizations

Commonly used customization in spline charts include lineThickness, lineColor, markerSize, markerType, etc.