Python Stacked Bar 100% Chart using Django

Download Python Django Chart Samples

Example shows Python Stacked Bar 100% Chart. 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,
    exportEnabled: true,
    theme: "dark2", //"light1", "dark1", "dark2"
    title:{
      text: "Division of Products Sold in 3rd Quarter"             
    },
    axisY:{
      interval: 10,
      suffix: "%"
    },
    toolTip:{
      shared: true
    },
    legend: {
      cursor: "pointer",
      itemclick: toggleDataSeries
    },
    data:[{
      type: "stackedBar100",
      toolTipContent: "{label}<br><b>{name}:</b> {y} (#percent%)",
      showInLegend: true, 
      name: "July",
      dataPoints: {{ july_data|safe }}
    },
    {
      type: "stackedBar100",
      toolTipContent: "<b>{name}:</b> {y} (#percent%)",
      showInLegend: true, 
      name: "August",
      dataPoints: {{ august_data|safe }}
    }, 
    {
      type: "stackedBar100",
      toolTipContent: "<b>{name}:</b> {y} (#percent%)",
      showInLegend: true, 
      name: "September",
      dataPoints: {{ september_data|safe }}
    }]
  });
  chart.render();

  function toggleDataSeries(e) {
      if (typeof (e.dataSeries.visible) === "undefined" || e.dataSeries.visible) {
          e.dataSeries.visible = false;
      } else {
          e.dataSeries.visible = true;
      }
      e.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):
  july_data = [
    { "y": 550, "label": "Water Filter" },
    { "y": 450, "label": "Modern Chair" },
    { "y": 70, "label": "VOIP Phone" },
    { "y": 200, "label": "Microwave" },
    { "y": 324, "label": "Expresso Machine" },
    { "y": 300, "label": "Lobby Chair" }
  ]
  august_data = [
    { "y": 450, "label": "Water Filter" },
    { "y": 550, "label": "Modern Chair" },
    { "y": 270, "label": "VOIP Phone" },
    { "y": 400, "label": "Microwave" },
    { "y": 524, "label": "Expresso Machine" },
    { "y": 500, "label": "Lobby Chair" }
  ]
  september_data = [
    { "y": 350, "label": "Water Filter" },
    { "y": 660, "label": "Modern Chair" },
    { "y": 265, "label": "VOIP Phone" },
    { "y": 271, "label": "Microwave" },
    { "y": 360, "label": "Expresso Machine" },
    { "y": 340, "label": "Lobby Chair" }
  ]
  return render(request, 'index.html', { "july_data" : july_data, "august_data": august_data, "september_data": september_data })

Chart Customizations

You can place indexlabel inside the datapoint by setting indexLabelPlacement property to "inside". Other customizable options include indexLabelOrientation, indexLabelTextAlign, yValueFormatString, etc.