Charts

Bootstrap 5 Charts

MDB charts are visual representations of data. They are responsive and easy to customize. At your disposal are eight types of charts with multiple options for customization.

Note: Read the API tab to find all available options and advanced customization.

Note 2: See also advanced charts documentation to see an implementation of the advanced options.

Required ES init: Chart *
* UMD autoinits are enabled by default. This means that you don't need to initialize the component manually. However if you are using MDBootstrap ES format then you should pass the required components to the initMDB method.
MDB 5 - Bootstrap 5 & Material Design

Video tutorial

Bar chart

You can initialize simple charts with data-mdb-attributes - it doesn't require any additional JS code.

Note: This method allows only one dataset - more complicated charts require JavaScript initialization.

Via data-mdb-attributes:

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          <canvas
            data-mdb-chart-init
            data-mdb-chart="bar"
            data-mdb-dataset-label="Traffic"
            data-mdb-labels="['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday ']"
            data-mdb-dataset-data="[2112, 2343, 2545, 3423, 2365, 1985, 987]"
          ></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js'

          initMDB({ Chart });

The same effect achieved via Javascript initialization:

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          <canvas id="bar-chart"></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js'

          initMDB({ Chart });

          // Chart
          const dataBar = {
            type: 'bar',
            data: {
              labels: ['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday '],
              datasets: [
                {
                  label: 'Traffic',
                  data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
                },
              ],
            },
          };

          new Chart(document.getElementById('bar-chart'), dataBar);
        
        
    
        
            
            // Chart
            const dataBar = {
              type: 'bar',
              data: {
                labels: ['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday '],
                datasets: [
                  {
                    label: 'Traffic',
                    data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
                  },
                ],
              },
            };

            new mdb.Chart(document.getElementById('bar-chart'), dataBar);

Line chart

To use our minimalistic line chart, set the type option to line.

Via data-mdb-attributes:

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          <canvas
            data-mdb-chart-init
            data-mdb-chart="line"
            data-mdb-dataset-label="Traffic"
            data-mdb-labels="['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday ']"
            data-mdb-dataset-data="[2112, 2343, 2545, 3423, 2365, 1985, 987]"
          ></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js'

          initMDB({ Chart });

Via JavaScript:

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          <canvas id="line-chart"></canvas>
        
        
    
        
            
        // Initialization for ES Users
        import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';
        
        initMDB({ Chart });

        // Chart
        const dataLine = {
          type: 'line',
          data: {
            labels: ['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday '],
            datasets: [
              {
                label: 'Traffic',
                data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
              },
            ],
          },
        };

        new Chart(document.getElementById('line-chart'), dataLine);
        
        
    
        
            
          // Chart
          const dataLine = {
            type: 'line',
            data: {
              labels: ['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday '],
              datasets: [
                {
                  label: 'Traffic',
                  data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
                },
              ],
            },
          };

          new mdb.Chart(document.getElementById('line-chart'), dataLine);

Bar chart horizontal

Change the orientation of your bar chart from vertical to horizontal by setting the indexAxis option to 'y'.

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          <canvas id="bar-chart-horizontal"></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';

          initMDB({ Chart });

          // Chart
          const dataBarHorizontal = {
            type: 'bar',
            data: {
              labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
              datasets: [
                {
                  label: 'Traffic',
                  data: [30, 15, 62, 65, 61, 65, 40],
                },
              ],
            },
          };
    
          const optionsBarHorizontal = {
            options: {
              indexAxis: 'y',
              scales: {
                x: {
                  stacked: true,
                  grid: {
                    display: true,
                    borderDash: [2],
                    zeroLineColor: 'rgba(0,0,0,0)',
                    zeroLineBorderDash: [2],
                    zeroLineBorderDashOffset: [2],
                  },
                  ticks: {
                    color: 'rgba(0,0,0, 0.5)',
                  },
                },
                y: {
                  stacked: true,
                  grid: {
                    display: false,
                  },
                  ticks: {
                    color: 'rgba(0,0,0, 0.5)',
                  },
                },
              },
            },
          };
    
          new Chart(document.getElementById('bar-chart-horizontal'), dataBarHorizontal, optionsBarHorizontal);
        
        
    
        
            
          // Chart
          const dataBarHorizontal = {
            type: 'bar',
            data: {
              labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
              datasets: [
                {
                  label: 'Traffic',
                  data: [30, 15, 62, 65, 61, 65, 40],
                },
              ],
            },
          };
    
          const optionsBarHorizontal = {
            options: {
              indexAxis: 'y',
              scales: {
                x: {
                  stacked: true,
                  grid: {
                    display: true,
                    borderDash: [2],
                    zeroLineColor: 'rgba(0,0,0,0)',
                    zeroLineBorderDash: [2],
                    zeroLineBorderDashOffset: [2],
                  },
                  ticks: {
                    color: 'rgba(0,0,0, 0.5)',
                  },
                },
                y: {
                  stacked: true,
                  grid: {
                    display: false,
                  },
                  ticks: {
                    color: 'rgba(0,0,0, 0.5)',
                  },
                },
              },
            },
          };
    
          new mdb.Chart(document.getElementById('bar-chart-horizontal'), dataBarHorizontal, optionsBarHorizontal);

Pie chart

A chart with the type pie splits the circle into several pieces to represent a dataset's values as an area's percentage.

Via data-mdb-attributes:

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          <canvas
            data-mdb-chart-init
            data-mdb-chart="pie"
            data-mdb-dataset-label="Traffic"
            data-mdb-labels="['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday ']"
            data-mdb-dataset-data="[2112, 2343, 2545, 3423, 2365, 1985, 987]"
            data-mdb-dataset-background-color="['rgba(63, 81, 181, 0.5)', 'rgba(77, 182, 172, 0.5)', 'rgba(66, 133, 244, 0.5)', 'rgba(156, 39, 176, 0.5)', 'rgba(233, 30, 99, 0.5)', 'rgba(66, 73, 244, 0.4)', 'rgba(66, 133, 244, 0.2)']"
          ></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js'

          initMDB({ Chart });

Via JavaScript:

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          <canvas id="pie-chart"></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';

          initMDB({ Chart });

          // Chart
          const dataPie = {
            type: 'pie',
            data: {
              labels: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday '],
              datasets: [
                {
                  label: 'Traffic',
                  data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
                  backgroundColor: [
                    'rgba(63, 81, 181, 0.5)',
                    'rgba(77, 182, 172, 0.5)',
                    'rgba(66, 133, 244, 0.5)',
                    'rgba(156, 39, 176, 0.5)',
                    'rgba(233, 30, 99, 0.5)',
                    'rgba(66, 73, 244, 0.4)',
                    'rgba(66, 133, 244, 0.2)',
                  ],
                },
              ],
            },
          };

          new Chart(document.getElementById('pie-chart'), dataPie);
        
        
    
        
            
          // Chart
          const dataPie = {
            type: 'pie',
            data: {
              labels: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday '],
              datasets: [
                {
                  label: 'Traffic',
                  data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
                  backgroundColor: [
                    'rgba(63, 81, 181, 0.5)',
                    'rgba(77, 182, 172, 0.5)',
                    'rgba(66, 133, 244, 0.5)',
                    'rgba(156, 39, 176, 0.5)',
                    'rgba(233, 30, 99, 0.5)',
                    'rgba(66, 73, 244, 0.4)',
                    'rgba(66, 133, 244, 0.2)',
                  ],
                },
              ],
            },
          };

          new mdb.Chart(document.getElementById('pie-chart'), dataPie);

Doughnut chart

Another type of graph representing data as an area's percentage is a doughnut chart.

Via data-mdb-attributes:

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          <canvas
            data-mdb-chart-init
            data-mdb-chart="doughnut"
            data-mdb-dataset-label="Traffic"
            data-mdb-labels="['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday ']"
            data-mdb-dataset-data="[2112, 2343, 2545, 3423, 2365, 1985, 987]"
            data-mdb-dataset-background-color="['rgba(63, 81, 181, 0.5)', 'rgba(77, 182, 172, 0.5)', 'rgba(66, 133, 244, 0.5)', 'rgba(156, 39, 176, 0.5)', 'rgba(233, 30, 99, 0.5)', 'rgba(66, 73, 244, 0.4)', 'rgba(66, 133, 244, 0.2)']"
          ></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js'

          initMDB({ Chart });

Via JavaScript:

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          <canvas id="doughnut-chart"></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';

          initMDB({ Chart });

          // Chart
          const dataDoughnut = {
            type: 'doughnut',
            data: {
              labels: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday '],
              datasets: [
                {
                  label: 'Traffic',
                  data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
                  backgroundColor: [
                    'rgba(63, 81, 181, 0.5)',
                    'rgba(77, 182, 172, 0.5)',
                    'rgba(66, 133, 244, 0.5)',
                    'rgba(156, 39, 176, 0.5)',
                    'rgba(233, 30, 99, 0.5)',
                    'rgba(66, 73, 244, 0.4)',
                    'rgba(66, 133, 244, 0.2)',
                  ],
                },
              ],
            },
          };

          new Chart(document.getElementById('doughnut-chart'), dataDoughnut);
        
        
    
        
            
          // Chart
          const dataDoughnut = {
            type: 'doughnut',
            data: {
              labels: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday '],
              datasets: [
                {
                  label: 'Traffic',
                  data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
                  backgroundColor: [
                    'rgba(63, 81, 181, 0.5)',
                    'rgba(77, 182, 172, 0.5)',
                    'rgba(66, 133, 244, 0.5)',
                    'rgba(156, 39, 176, 0.5)',
                    'rgba(233, 30, 99, 0.5)',
                    'rgba(66, 73, 244, 0.4)',
                    'rgba(66, 133, 244, 0.2)',
                  ],
                },
              ],
            },
          };

          new mdb.Chart(document.getElementById('doughnut-chart'), dataDoughnut);

Polar chart

Polar area graph will split the circle into pieces with equal angles and different radius.

Via data-mdb-attributes:

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          <canvas
            data-mdb-chart-init
            data-mdb-chart="polarArea"
            data-mdb-dataset-label="Traffic"
            data-mdb-labels="['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday ']"
            data-mdb-dataset-data="[2112, 2343, 2545, 3423, 2365, 1985, 987]"
            data-mdb-dataset-background-color="['rgba(63, 81, 181, 0.5)', 'rgba(77, 182, 172, 0.5)', 'rgba(66, 133, 244, 0.5)', 'rgba(156, 39, 176, 0.5)', 'rgba(233, 30, 99, 0.5)', 'rgba(66, 73, 244, 0.4)', 'rgba(66, 133, 244, 0.2)']"
          ></canvas>
        
        
    
        
            
        // Initialization for ES Users
        import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js'

        initMDB({ Chart });

Via JavaScript:

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          <canvas id="polar-area-chart"></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';

          initMDB({ Chart });

          // Chart
          const dataPolar = {
            type: 'polarArea',
            data: {
              labels: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday '],
              datasets: [
                {
                  label: 'Traffic',
                  data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
                  backgroundColor: [
                    'rgba(63, 81, 181, 0.5)',
                    'rgba(77, 182, 172, 0.5)',
                    'rgba(66, 133, 244, 0.5)',
                    'rgba(156, 39, 176, 0.5)',
                    'rgba(233, 30, 99, 0.5)',
                    'rgba(66, 73, 244, 0.4)',
                    'rgba(66, 133, 244, 0.2)',
                  ],
                },
              ],
            },
          };

          new Chart(document.getElementById('polar-area-chart'), dataPolar);
        
        
    
        
            
          // Chart
          const dataPolar = {
            type: 'polarArea',
            data: {
              labels: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday '],
              datasets: [
                {
                  label: 'Traffic',
                  data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
                  backgroundColor: [
                    'rgba(63, 81, 181, 0.5)',
                    'rgba(77, 182, 172, 0.5)',
                    'rgba(66, 133, 244, 0.5)',
                    'rgba(156, 39, 176, 0.5)',
                    'rgba(233, 30, 99, 0.5)',
                    'rgba(66, 73, 244, 0.4)',
                    'rgba(66, 133, 244, 0.2)',
                  ],
                },
              ],
            },
          };

          new mdb.Chart(document.getElementById('polar-area-chart'), dataPolar);

Radar chart

This type of chart will enclose the area based on a dataset's values.

Via data-mdb-attributes:

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          <canvas
            data-mdb-chart-init
            data-mdb-chart="radar"
            data-mdb-dataset-label="Traffic"
            data-mdb-labels="['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday ']"
            data-mdb-dataset-data="[2112, 2343, 2545, 3423, 2365, 1985, 987]"
          ></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js'

          initMDB({ Chart });

Via JavaScript:

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      <canvas id="radar-chart"></canvas>
    
        
    
        
            
      // Initialization for ES Users
      import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';

      initMDB({ Chart });

      // Chart
      const dataRadar = {
        type: 'radar',
        data: {
          labels: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday '],
          datasets: [
            {
              label: 'Traffic',
              data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
            },
          ],
        },
      };

      new Chart(document.getElementById('radar-chart'), dataRadar);
    
        
    
        
            
      // Chart
      const dataRadar = {
        type: 'radar',
        data: {
          labels: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday '],
          datasets: [
            {
              label: 'Traffic',
              data: [2112, 2343, 2545, 3423, 2365, 1985, 987],
            },
          ],
        },
      };

      new mdb.Chart(document.getElementById('radar-chart'), dataRadar);

Bubble chart

This graph visualizes data in a series of "bubbles" with customized coordinates and radius.

Note: As mentioned before, charts with more than one dataset cannot be initialized using data attributes. For more intricate setups, you'll need to handle the initialization using JavaScript.

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          <canvas id="bubble-chart"></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';

          initMDB({ Chart });

          // Chart
          const dataBubble = {
            type: 'bubble',
            data: {
              datasets: [
                {
                  label: 'John',
                  data: [
                    {
                      x: 3,
                      y: 7,
                      r: 10,
                    },
                  ],
                  backgroundColor: '#ff6384',
                  hoverBackgroundColor: '#ff6384',
                },
                {
                  label: 'Peter',
                  data: [
                    {
                      x: 5,
                      y: 7,
                      r: 10,
                    },
                  ],
                  backgroundColor: '#44e4ee',
                  hoverBackgroundColor: '#44e4ee',
                },
                {
                  label: 'Donald',
                  data: [
                    {
                      x: 7,
                      y: 7,
                      r: 10,
                    },
                  ],
                  backgroundColor: '#62088A',
                  hoverBackgroundColor: '#62088A',
                },
              ],
            },
          };

          new Chart(document.getElementById('bubble-chart'), dataBubble);
        
        
    
        
            
          // Chart
          const dataBubble = {
            type: 'bubble',
            data: {
              datasets: [
                {
                  label: 'John',
                  data: [
                    {
                      x: 3,
                      y: 7,
                      r: 10,
                    },
                  ],
                  backgroundColor: '#ff6384',
                  hoverBackgroundColor: '#ff6384',
                },
                {
                  label: 'Peter',
                  data: [
                    {
                      x: 5,
                      y: 7,
                      r: 10,
                    },
                  ],
                  backgroundColor: '#44e4ee',
                  hoverBackgroundColor: '#44e4ee',
                },
                {
                  label: 'Donald',
                  data: [
                    {
                      x: 7,
                      y: 7,
                      r: 10,
                    },
                  ],
                  backgroundColor: '#62088A',
                  hoverBackgroundColor: '#62088A',
                },
              ],
            },
          };

          new mdb.Chart(document.getElementById('bubble-chart'), dataBubble);

Scatter chart

Use this chart to represent your data as a series of points with x and y coordinates.

Note: This chart also requires initialization via JavaScript. Initialization via data-mdb-attributes is not possible.

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          <canvas id="scatter-chart"></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';

          initMDB({ Chart });

          // Chart
          const dataScatter = {
            type: 'scatter',
            data: {
              datasets: [
                {
                  borderColor: '#4285F4',
                  backgroundColor: 'rgba(66, 133, 244, 0.5)',
                  label: 'V(node2)',
                  data: [
                    {
                      x: 1,
                      y: -1.711e-2,
                    },
                    {
                      x: 1.26,
                      y: -2.708e-2,
                    },
                    {
                      x: 1.58,
                      y: -4.285e-2,
                    },
                    {
                      x: 2.0,
                      y: -6.772e-2,
                    },
                    {
                      x: 2.51,
                      y: -1.068e-1,
                    },
                    {
                      x: 3.16,
                      y: -1.681e-1,
                    },
                    {
                      x: 3.98,
                      y: -2.635e-1,
                    },
                    {
                      x: 5.01,
                      y: -4.106e-1,
                    },
                    {
                      x: 6.31,
                      y: -6.339e-1,
                    },
                    {
                      x: 7.94,
                      y: -9.659e-1,
                    },
                    {
                      x: 10.0,
                      y: -1.445,
                    },
                    {
                      x: 12.6,
                      y: -2.11,
                    },
                    {
                      x: 15.8,
                      y: -2.992,
                    },
                    {
                      x: 20.0,
                      y: -4.102,
                    },
                    {
                      x: 25.1,
                      y: -5.429,
                    },
                    {
                      x: 31.6,
                      y: -6.944,
                    },
                    {
                      x: 39.8,
                      y: -8.607,
                    },
                    {
                      x: 50.1,
                      y: -1.038e1,
                    },
                    {
                      x: 63.1,
                      y: -1.223e1,
                    },
                    {
                      x: 79.4,
                      y: -1.413e1,
                    },
                    {
                      x: 100.0,
                      y: -1.607e1,
                    },
                    {
                      x: 126,
                      y: -1.803e1,
                    },
                    {
                      x: 158,
                      y: -2e1,
                    },
                    {
                      x: 200,
                      y: -2.199e1,
                    },
                    {
                      x: 251,
                      y: -2.398e1,
                    },
                    {
                      x: 316,
                      y: -2.597e1,
                    },
                    {
                      x: 398,
                      y: -2.797e1,
                    },
                    {
                      x: 501,
                      y: -2.996e1,
                    },
                    {
                      x: 631,
                      y: -3.196e1,
                    },
                    {
                      x: 794,
                      y: -3.396e1,
                    },
                    {
                      x: 1000,
                      y: -3.596e1,
                    },
                  ],
                },
              ],
            },
          };

          const optionsScatter = {
            options: {
              title: {
                display: true,
                text: 'Scatter Chart - Logarithmic X-Axis',
              },
              scales: {
                x:
                  {
                    type: 'logarithmic',
                    position: 'bottom',
                    ticks: {
                      userCallback: function (tick) {
                        var remain = tick / Math.pow(10, Math.floor(Chart.helpers.log10(tick)));
                        if (remain === 1 || remain === 2 || remain === 5) {
                          return tick.toString() + 'Hz';
                        }
                        return '';
                      },
                    },
                    scaleLabel: {
                      labelString: 'Frequency',
                      display: true,
                    },
                  },
                y:
                  {
                    type: 'linear',
                    ticks: {
                      userCallback: function (tick) {
                        return tick.toString() + 'dB';
                      },
                    },
                    scaleLabel: {
                      labelString: 'Voltage',
                      display: true,
                    },
                  },
              },
            },
          };

          new Chart(document.getElementById('scatter-chart'), dataScatter, optionsScatter);
        
        
    
        
            
          // Chart
          const dataScatter = {
            type: 'scatter',
            data: {
              datasets: [
                {
                  borderColor: '#4285F4',
                  backgroundColor: 'rgba(66, 133, 244, 0.5)',
                  label: 'V(node2)',
                  data: [
                    {
                      x: 1,
                      y: -1.711e-2,
                    },
                    {
                      x: 1.26,
                      y: -2.708e-2,
                    },
                    {
                      x: 1.58,
                      y: -4.285e-2,
                    },
                    {
                      x: 2.0,
                      y: -6.772e-2,
                    },
                    {
                      x: 2.51,
                      y: -1.068e-1,
                    },
                    {
                      x: 3.16,
                      y: -1.681e-1,
                    },
                    {
                      x: 3.98,
                      y: -2.635e-1,
                    },
                    {
                      x: 5.01,
                      y: -4.106e-1,
                    },
                    {
                      x: 6.31,
                      y: -6.339e-1,
                    },
                    {
                      x: 7.94,
                      y: -9.659e-1,
                    },
                    {
                      x: 10.0,
                      y: -1.445,
                    },
                    {
                      x: 12.6,
                      y: -2.11,
                    },
                    {
                      x: 15.8,
                      y: -2.992,
                    },
                    {
                      x: 20.0,
                      y: -4.102,
                    },
                    {
                      x: 25.1,
                      y: -5.429,
                    },
                    {
                      x: 31.6,
                      y: -6.944,
                    },
                    {
                      x: 39.8,
                      y: -8.607,
                    },
                    {
                      x: 50.1,
                      y: -1.038e1,
                    },
                    {
                      x: 63.1,
                      y: -1.223e1,
                    },
                    {
                      x: 79.4,
                      y: -1.413e1,
                    },
                    {
                      x: 100.0,
                      y: -1.607e1,
                    },
                    {
                      x: 126,
                      y: -1.803e1,
                    },
                    {
                      x: 158,
                      y: -2e1,
                    },
                    {
                      x: 200,
                      y: -2.199e1,
                    },
                    {
                      x: 251,
                      y: -2.398e1,
                    },
                    {
                      x: 316,
                      y: -2.597e1,
                    },
                    {
                      x: 398,
                      y: -2.797e1,
                    },
                    {
                      x: 501,
                      y: -2.996e1,
                    },
                    {
                      x: 631,
                      y: -3.196e1,
                    },
                    {
                      x: 794,
                      y: -3.396e1,
                    },
                    {
                      x: 1000,
                      y: -3.596e1,
                    },
                  ],
                },
              ],
            },
          };

          const optionsScatter = {
            options: {
              title: {
                display: true,
                text: 'Scatter Chart - Logarithmic X-Axis',
              },
              scales: {
                x:
                  {
                    type: 'logarithmic',
                    position: 'bottom',
                    ticks: {
                      userCallback: function (tick) {
                        var remain = tick / Math.pow(10, Math.floor(Chart.helpers.log10(tick)));
                        if (remain === 1 || remain === 2 || remain === 5) {
                          return tick.toString() + 'Hz';
                        }
                        return '';
                      },
                    },
                    scaleLabel: {
                      labelString: 'Frequency',
                      display: true,
                    },
                  },
                y:
                  {
                    type: 'linear',
                    ticks: {
                      userCallback: function (tick) {
                        return tick.toString() + 'dB';
                      },
                    },
                    scaleLabel: {
                      labelString: 'Voltage',
                      display: true,
                    },
                  },
              },
            },
          };

          new mdb.Chart(document.getElementById('scatter-chart'), dataScatter, optionsScatter);

Bar chart with custom options

MDB provides default options for each chart - you can easily change that by passing an object with your custom options to the Chart constructor.

Note: Read API tab to learn more about available options.

Edit in sandbox 
        
            
          <canvas id="bar-chart-custom-options"></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';
                  
          initMDB({ Chart });

          // Bar chart with custom options
          const dataBarCustomOptions = {
            type: 'bar',
            data: {
              labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
              datasets: [
                {
                  label: 'Traffic',
                  data: [30, 15, 62, 65, 61, 6],
                  backgroundColor: [
                    'rgba(255, 99, 132, 0.2)',
                    'rgba(54, 162, 235, 0.2)',
                    'rgba(255, 206, 86, 0.2)',
                    'rgba(75, 192, 192, 0.2)',
                    'rgba(153, 102, 255, 0.2)',
                    'rgba(255, 159, 64, 0.2)',
                  ],
                  borderColor: [
                    'rgba(255,99,132,1)',
                    'rgba(54, 162, 235, 1)',
                    'rgba(255, 206, 86, 1)',
                    'rgba(75, 192, 192, 1)',
                    'rgba(153, 102, 255, 1)',
                    'rgba(255, 159, 64, 1)',
                  ],
                  borderWidth: 1,
                },
              ],
            },
          };

          const optionsBarCustomOptions = {
            options: {
                plugins: {
                legend: {
                  labels: {
                    color: 'green'
                    position: 'top',
                  }
                },
                scales: {
                  x:
                    {
                      ticks: {
                        color: '#4285F4',
                      },
                    },
                  y:
                    {
                      ticks: {
                        color: '#f44242',
                      },
                    },
                },
              },
            },
          };

          new Chart(
            document.getElementById('bar-chart-custom-options'),
            dataBarCustomOptions,
            optionsBarCustomOptions
          );
        
        
    
        
            
          // Bar chart with custom options
          const dataBarCustomOptions = {
            type: 'bar',
            data: {
              labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
              datasets: [
                {
                  label: 'Traffic',
                  data: [30, 15, 62, 65, 61, 6],
                  backgroundColor: [
                    'rgba(255, 99, 132, 0.2)',
                    'rgba(54, 162, 235, 0.2)',
                    'rgba(255, 206, 86, 0.2)',
                    'rgba(75, 192, 192, 0.2)',
                    'rgba(153, 102, 255, 0.2)',
                    'rgba(255, 159, 64, 0.2)',
                  ],
                  borderColor: [
                    'rgba(255,99,132,1)',
                    'rgba(54, 162, 235, 1)',
                    'rgba(255, 206, 86, 1)',
                    'rgba(75, 192, 192, 1)',
                    'rgba(153, 102, 255, 1)',
                    'rgba(255, 159, 64, 1)',
                  ],
                  borderWidth: 1,
                },
              ],
            },
          };

          const optionsBarCustomOptions = {
            options: {
                plugins: {
                legend: {
                  labels: {
                    color: 'green'
                    position: 'top',
                  }
                },
                scales: {
                  x:
                    {
                      ticks: {
                        color: '#4285F4',
                      },
                    },
                  y:
                    {
                      ticks: {
                        color: '#f44242',
                      },
                    },
                },
              },
            },
          };

          new mdb.Chart(
            document.getElementById('bar-chart-custom-options'),
            dataBarCustomOptions,
            optionsBarCustomOptions
          );

Bar chart with custom tooltip

Set custom text format inside a tooltip by using plugins option.

Edit in sandbox 
        
            
          <canvas id="bar-chart-custom-tooltip"></canvas>
        
        
    
        
            
          // Initialization for ES Users
          import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js';

          initMDB({ Chart });

          // Bar chart with custom tooltip
          const dataBarCustomTooltip = {
            type: 'bar',
            data: {
              labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
              datasets: [
                {
                  label: 'Traffic',
                  data: [30, 15, 62, 65, 61, 65, 40],
                },
              ],
            },
          };
  
          const optionsBarCustomTooltip = {
            options: {
              plugins: {
                tooltip: {
                  callbacks: {
                     label: function (context) {
                      let label = context.dataset.label || '';
                      label = `${label}: ${context.formattedValue} users`;
                      return label;
                    },
                  },
                 },
               },
            },
          };

          new Chart(
            document.getElementById('bar-chart-custom-tooltip'),
            dataBarCustomTooltip,
            optionsBarCustomTooltip);
        
        
    
        
            
          // Bar chart with custom tooltip
          const dataBarCustomTooltip = {
            type: 'bar',
            data: {
              labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
              datasets: [
                {
                  label: 'Traffic',
                  data: [30, 15, 62, 65, 61, 65, 40],
                },
              ],
            },
          };
  
          const optionsBarCustomTooltip = {
            options: {
              plugins: {
                tooltip: {
                  callbacks: {
                     label: function (context) {
                      let label = context.dataset.label || '';
                      label = `${label}: ${context.formattedValue} users`;
                      return label;
                    },
                  },
                 },
               },
            },
          };

          new mdb.Chart(
            document.getElementById('bar-chart-custom-tooltip'),
            dataBarCustomTooltip,
            optionsBarCustomTooltip);

Charts - API

Import

Importing components depends on how your application works. If you intend to use the MDBootstrap ES format, you must first import the component and then initialize it with the initMDB method. If you are going to use the UMD format, just import the mdb-ui-kit package.

Edit in sandbox 
        
            
      import { Chart, initMDB } from 'mdb-ui-kit/js/chart.es.min.js'
        
      initMDB({ Chart });
    
        
    
        
            
        import 'mdb-ui-kit';

Usage

Via data attributes

Using the Chart component doesn't require any additional JavaScript code - simply add data-mdb-chart-init attribute to canvas tag and use other data attributes to set all options. For ES format, you must first import and call the initMDB method.

Edit in sandbox 
        
            
        <canvas
          data-mdb-chart-init
          class="col-sm-12 col-md-10 col-xl-8 mb-4"
          data-mdb-chart="bar"
          data-mdb-dataset-label="Traffic"
          data-mdb-labels="['Monday', 'Tuesday' , 'Wednesday' , 'Thursday' , 'Friday' , 'Saturday' , 'Sunday ']"
          data-mdb-dataset-data="[2112, 2343, 2545, 3423, 2365, 1985, 987]"
        ></canvas>

Via JavaScript

When using the Chart constructor to initialize an instance, you can specify three parameters. The first argument is a wrapper element for a chart, second is a data object with necessary information about displayed datasets. The last are options - each Chart has its default settings provided by the component, so this parameter is optional.

Edit in sandbox 
        
            
        <canvas id="bar-chart"></canvas>
    
        
    
        
            
        // Bar chart
        const dataBar = {
          type: 'bar',
          data: {
            labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
            datasets: [
              {
                label: 'Traffic',
                data: [30, 15, 62, 65, 61, 65, 40],
              },
            ],
          },
        };

        new Chart(document.getElementById('bar-chart'), dataBar);
    
        
    
        
            
        // Bar chart
        const dataBar = {
          type: 'bar',
          data: {
            labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
            datasets: [
              {
                label: 'Traffic',
                data: [30, 15, 62, 65, 61, 65, 40],
              },
            ],
          },
        };

        new mdb.Chart(document.getElementById('bar-chart'), dataBar);

Via jQuery

Note: By default, MDB does not include jQuery and you have to add it to the project on your own.

Edit in sandbox 
        
            
        <canvas id="bar-chart"></canvas>
    
        
    
        
            
        // Bar chart
        const dataBar = {
          type: 'bar',
          data: {
            labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
            datasets: [
              {
                label: 'Traffic',
                data: [30, 15, 62, 65, 61, 65, 40],
              },
            ],
          },
        };
        
        $(document).ready(() => {
          $('#bar-chart').chart(dataBar);
        });

Options

Options can be passed via data attributes or JavaScript. For data attributes, append the option name to data-mdb-, as in data-mdb-background-color="".

Note: Scatter and bubble charts has to be initialized with JavaScript.

Name Type Description
data-mdb-chart String Attribute responsible for defining a type.
data-mdb-labels String Labels for x-axis
data-mdb-dataset-label String Label values ​​for datasets
data-mdb-dataset-background-color Color[ ] A single color or an array of colors for datasets
data-mdb-dataset-border-color Color[ ] A single border or line color or an array of border colors for datasets
data-mdb-dataset-border-width Number[ ] Single border thickness or a border thickness table for datasets
data-mdb-dataset-data Number[ ] Value sets for charts

Line options

The line chart allows specifying several properties for each dataset. Besides, some of them (f.e. all point* properties) can be defined as an array - this way the first value applies to the first point, the second to the second point, etc.

Name Type Description
label String The label for the dataset that appears in the legend and tooltips.
xAxisID String The ID of the x-axis to plot this dataset on. If not specified, this defaults to the ID of the first found x-axis
yAxisID String The ID of the y-axis to plot this dataset on. If not specified, this defaults to the ID of the first found y-axis.
backgroundColor Color The fill color under the line.
borderColor Color The color of the line.
borderWidth Number The width of the line in pixels.
borderDash Number The length and spacing of dashes.
borderDashOffset Number Offset for line dashes.
borderCapStyle String Cap style of the line.
borderJoinStyle String Line joint style.
cubicInterpolationMode String The algorithm used to interpolate a smooth curve from the discrete data points.
fill Boolean/String How to fill the area under the line.
lineTension Number Bezier curve tension of the line. Set to 0 to draw straight lines. This option is ignored if monotone cubic interpolation is used.
pointBackgroundColor Color/Color[ ] The fill color for points.
pointBorderColor Color/Color[ ] The border color for points.
pointBorderWidth Number/Number[ ] The width of the point border in pixels.
pointRadius Number/Number[ ] The radius of the point shape. If set to 0, the point is not rendered.
pointStyle String/String[ ]/Image/Image[ ] Style of the point.
pointRotation Number/Number[ ] The rotation of the point in degrees.
pointHitRadius Number/Number[ ] The pixel size of the non-displayed point that reacts to mouse events.
pointHoverBackgroundColor Color/Color[ ] Point background color when hovered.
pointHoverBorderColor Color/Color[ ] Point border color when hovered.
pointHoverBorderWidth Number/Number[ ] The border width of a point when hovered over.
pointHoverRadius Number/Number[ ] The radius of the point when hovered over.
showLine Boolean If false, the line is not drawn for this dataset.
spanGaps Boolean If true, lines will be drawn between points with no or null data. If false, points with NaN data will create a break in the line
steppedLine Boolean/String If the line is shown as a stepped line.

Bar options

The bar chart allows specifying several properties for each dataset. Besides, some of them can be defined as an array - this way the first value applies to the first bar, the second to the second bar, etc.

Name Type Description
label String The label for the dataset which appears in the legend and tooltips.
xAxisID String The ID of the x axis to plot this dataset on. If not specified, this defaults to the ID of the first found x axis
yAxisID String The ID of the y axis to plot this dataset on. If not specified, this defaults to the ID of the first found y axis.
backgroundColor Color/Color[ ] The fill color of the bar.
borderColor Color/Color[ ] The color of the bar border.
borderWidth Number/Number[ ] The stroke width of the bar in pixels.
borderSkipped String Which edge to skip drawing the border for.
hoverBackgroundColor Color/Color[ ] The fill colour of the bars when hovered.
hoverBorderColor Color/Color[ ] The stroke colour of the bars when hovered.
hoverBorderWidth Number/Number[ ] The stroke width of the bars when hovered.

Radar chart

The radar chart allows specifying several properties for each dataset. Besides, some of them (f.e. all point* properties) can be defined as an array - this way the first value applies to the first point, the second to the second point, etc.

Name Type Description
label String The label for the dataset which appears in the legend and tooltips.
backgroundColor Color The fill color under the line.
borderColor Color The color of the line.
borderWidth Number The width of the line in pixels.
borderDash Number[ ] Length and spacing of dashes. S
borderDashOffset Number Offset for line dashes.
borderCapStyle String Cap style of the line
borderJoinStyle String Line joint style
fill Boolean/String How to fill the area under the line.
lineTension Number Bezier curve tension of the line. Set to 0 to draw straightlines.
pointBackgroundColor Color/Color[ ] The fill color for points.
pointBorderColor Color/Color[ ] The border color for points.
pointBorderWidth Number/Number[ ] The width of the point border in pixels.
pointRadius Number/Number[ ] TThe radius of the point shape. If set to 0, the point is not rendered.
pointRotation Number/Number[ ] The rotation of the point in degrees.
pointStyle String/String[ ]/Image/Image[ ] Style of the point.
pointHitRadius Number/Number[ ] The pixel size of the non-displayed point that reacts to mouse events.
pointHoverBackgroundColor Color/Color[ ] Point background color when hovered.
pointHoverBorderColor Color/Color[ ] Point border color when hovered.
pointHoverBorderWidth Number/Number[ ] Border width of point when hovered.
pointHoverRadius Number/Number[ ] The radius of the point when hovered.

Doughnut and Pie

In Doughnut and Pie charts passing an array of values to an option will apply each of them to a corresponding entry in a dataset.

Name Type Description
backgroundColor Color[ ] The fill color of the arcs in the dataset.
borderColor Color[ ] The border color of the arcs in the dataset.
borderWidth Number[ ] The border width of the arcs in the dataset.
hoverBackgroundColor Color[ ] The fill colour of the arcs when hovered.
hoverBorderColor Color[ ] The stroke colour of the arcs when hovered.
hoverBorderWidth Number[ ] The stroke width of the arcs when hovered.

Polar Area chart

Polar area charts are similar to pie charts, but each segment has the same angle and differs in the radius (depending on the value).

Name Type Description
backgroundColor Color The fill color of the arcs in the dataset.
borderColor Color The border color of the arcs in the dataset.
borderWidth number The border width of the arcs in the dataset.
hoverBackgroundColor Color The fill colour of the arcs when hovered.
hoverBorderColor Color The stroke colour of the arcs when hovered.
hoverBorderWidth number The stroke width of the arcs when hovered.

Bubble chart

A bubble chart displays a series of points with x and y coordinates. The z coordinate determines the size of each bubble.

Name Type Description
backgroundColor Color bubble background color
borderColor Color bubble border color
borderWidth Number bubble border width (in pixels)
hoverBackgroundColor Color bubble background color when hovered
hoverBorderColor Color bubble border color when hovered
hoverBorderWidth Number bubble border width when hovered (in pixels)
hoverRadius Number bubble additional radius when hovered (in pixels)
hitRadius Number bubble additional radius for hit detection (in pixels).
label String The label for the dataset which appears in the legend and tooltips.
order Number The drawing order of dataset.
pointStyle String bubble shape style.
rotation Number bubble rotation (in degrees).
radius Number bubble radius (in pixels).

Scatter chart

Scatter chart displays the dataset as a series of points with z and y coordinates.

The scatter chart supports the same properties as the line chart.

Plugin Legend

Name Type Default Description
display Boolean true showing legend
position String 'top' Position of the legend.
fullWidth Boolean true Marks that this box should take the full width of the canvas (pushing down other boxes). This is unlikely to need to be changed in day-to-day use.
onClick Function

A callback that is called when a click event is registered on a label item
onHover Function

A callback that is called when a 'mousemove' event is registered on top of a label item

reverse Boolean false

Legend will show datasets in reverse order.
labels Object

See documentation about labels in table below.

Plugin Legend - Label Configuration

Name Type Default Description
boxWidth Number 40 width of coloured box
font.size Number 12 font size of text
font.style String 'normal' font style of text
color Color '#666'

Color of text
font.family String "Roboto"

Font family of legend text.
padding Number 10

Padding between rows of colored boxes. .
generateLabels Function

Generates legend items for each thing in the legend. Default implementation returns the text + styling for the color box.

filter Function null

Filters legend items out of the legend. Receives 2 parameters, a Legend Item and the chart data.

usePointStyle Boolean false

Label style will match corresponding point style (size is based on fontSize, boxWidth is not used in this case).

backgroundColor Style/Null Null

Background color of datalabels. .

Methods

Name Description Example
update(data, config) Updates the chart's data and calls .update(mode?) method. In this method, passing both arguments is required. However, when only the data is changed, the second argument can be an empty object. myChart.update(data, config)
dispose Removes a mdb.Chart instance myChart.dispose()
getInstance Static method which allows you to get the chart instance associated to a DOM element. Chart.getInstance(chartEl)
getOrCreateInstance Static method which returns the chart instance associated to a DOM element or create a new one in case it wasn't initialized. Chart.getOrCreateInstance(chartEl)
Edit in sandbox 
        
            
        const myChart = document.getElementById('myChart');
        const instance = new Chart(myChart, data, options);
        instance.dispose();
      
        
    
        
            
        const myChart = document.getElementById('myChart');
        const instance = new mdb.Chart(myChart, data, options);
        instance.dispose();

Events

Event handling in Charts differs from other MDB components - in the options parameter you can define which events should be triggered and handlers for some of them (click, hover).

Name Type Default Description
events string[ ] ['mousemove', 'mouseout', 'click', 'touchstart', 'touchmove'] The events option defines the browser events that the chart should listen to for tooltips and hovering.
onHover function null Called when any of the events fire. Called in the context of the chart and passed the event and an array of active elements (bars, points, etc).
onClick function null Called if the event is of type 'mouseup' or 'click'. Called in the context of the chart and passed the event and an array of active elements.
Edit in sandbox 
        
            
          const eventOption = {
            options: {
              // This chart will not respond to mousemove, etc
              events: ['click']
            }
          };