Skip to main content
PHP Blog

Back to all posts

How to Filter Chart.js With Datepicker?

Published on
8 min read
How to Filter Chart.js With Datepicker? image

Best Datepicker-Integrated Chart.js Tools to Buy in October 2025

1 D3.js in Action, Third Edition

D3.js in Action, Third Edition

BUY & SAVE
$53.50 $69.99
Save 24%
D3.js in Action, Third Edition
2 NELOMO 11.8” X 7.9” Toolbox Reference Card Toolbox Accessories Conversion Chart Card SAE Metric Ruler Standard Metric Conversion Charts Tap Drill Sizes Wrench Conversion Chart

NELOMO 11.8” X 7.9” Toolbox Reference Card Toolbox Accessories Conversion Chart Card SAE Metric Ruler Standard Metric Conversion Charts Tap Drill Sizes Wrench Conversion Chart

  • ALL-IN-ONE REFERENCE: EASY CONVERSIONS AND CHARTS IN ONE DURABLE CARD.

  • BUILT TO LAST: STURDY, LAMINATED DESIGN WITHSTANDS WEAR AND TEAR.

  • ULTIMATE PORTABILITY: HANDY SIZE FITS ANY TOOLBOX FOR ON-THE-GO USE.

BUY & SAVE
$5.99
NELOMO 11.8” X 7.9” Toolbox Reference Card Toolbox Accessories Conversion Chart Card SAE Metric Ruler Standard Metric Conversion Charts Tap Drill Sizes Wrench Conversion Chart
3 The Official Guide to Mermaid.js: Create complex diagrams and beautiful flowcharts easily using text and code

The Official Guide to Mermaid.js: Create complex diagrams and beautiful flowcharts easily using text and code

BUY & SAVE
$38.68 $43.99
Save 12%
The Official Guide to Mermaid.js: Create complex diagrams and beautiful flowcharts easily using text and code
4 D3.js in Action: Data visualization with JavaScript

D3.js in Action: Data visualization with JavaScript

BUY & SAVE
$31.94 $44.99
Save 29%
D3.js in Action: Data visualization with JavaScript
5 Host Defense The Mushroom Cultivator: A Practical Guide to Growing Mushrooms at Home by Paul Stamets and J.S. Chilton - Book About Mycology & Growing Mushrooms at-Home - Mushroom Growing Guide

Host Defense The Mushroom Cultivator: A Practical Guide to Growing Mushrooms at Home by Paul Stamets and J.S. Chilton - Book About Mycology & Growing Mushrooms at-Home - Mushroom Growing Guide

  • MASTER 15 MUSHROOM TYPES WITH THE COMPLETE AT-HOME GROWING GUIDE.
  • LEARN FROM EXPERT PAUL STAMETS ON GENETICS AND LIFE CYCLES.
  • GROW ORGANIC, NON-GMO MUSHROOMS WITH OUR DETAILED CULTIVATION PRACTICES.
BUY & SAVE
$34.95
Host Defense The Mushroom Cultivator: A Practical Guide to Growing Mushrooms at Home by Paul Stamets and J.S. Chilton - Book About Mycology & Growing Mushrooms at-Home - Mushroom Growing Guide
6 J. S. Bach Mandolin Duets

J. S. Bach Mandolin Duets

BUY & SAVE
$19.99
J. S. Bach Mandolin Duets
7 J.S. Bach Mandolin Songbook: Mandolin Play-Along Volume 4

J.S. Bach Mandolin Songbook: Mandolin Play-Along Volume 4

BUY & SAVE
$11.99
J.S. Bach Mandolin Songbook: Mandolin Play-Along Volume 4
8 Mastering D3.js - Data Visualization for JavaScript Developers

Mastering D3.js - Data Visualization for JavaScript Developers

BUY & SAVE
$36.99
Mastering D3.js - Data Visualization for JavaScript Developers
9 J. S. Bach for Mandolin

J. S. Bach for Mandolin

BUY & SAVE
$19.99
J. S. Bach for Mandolin
+
ONE MORE?

To filter chart.js with a datepicker, you need to first create a datepicker element that allows users to select a date range. Once the user selects a date range, you can use JavaScript to filter the data that will be displayed on the chart based on the selected dates. This can be achieved by comparing the dates in the dataset to the selected date range and updating the chart accordingly. Additionally, you can use chart.js event handlers to update the chart whenever the date range is changed by the user. By integrating a datepicker with chart.js, you can provide users with a more dynamic and interactive data visualization experience.

How to synchronize multiple chart.js instances when filtering with a datepicker?

To synchronize multiple Chart.js instances when filtering with a datepicker, you can follow these steps:

  1. Initialize all Chart.js instances with the same data and options.
  2. Assign a unique id or index to each chart instance to differentiate them.
  3. Create a datepicker input element that users can use to select a specific date range.
  4. Add an event listener to the datepicker input element to detect changes in the selected date range.
  5. When the date range changes, update the data of each Chart.js instance based on the selected date range.
  6. Redraw all Chart.js instances to reflect the updated data.

Here is a simple example of how you can achieve this using JavaScript and jQuery:

<canvas id="chart1" width="400" height="200"></canvas>
<canvas id="chart2" width="400" height="200"></canvas>

<script>
    var ctx1 = document.getElementById('chart1').getContext('2d');
    var ctx2 = document.getElementById('chart2').getContext('2d');

    var chart1 = new Chart(ctx1, {
        type: 'line',
        data: {
            labels: \['January', 'February', 'March', 'April', 'May', 'June', 'July'\],
            datasets: \[{
                label: 'Chart 1',
                data: \[10, 20, 30, 40, 50, 60, 70\]
            }\]
        }
    });

    var chart2 = new Chart(ctx2, {
        type: 'line',
        data: {
            labels: \['January', 'February', 'March', 'April', 'May', 'June', 'July'\],
            datasets: \[{
                label: 'Chart 2',
                data: \[5, 10, 15, 20, 25, 30, 35\]
            }\]
        }
    });

    $('#datepicker').datepicker({
        onSelect: function(dateText) {
            var selectedDate = new Date(dateText);
            var newData1 = \[10, 20, 30, 40, 50, 60, 70\]; // Update with your data
            var newData2 = \[5, 10, 15, 20, 25, 30, 35\]; // Update with your data

            // Update data based on selected date range
            chart1.data.datasets\[0\].data = newData1;
            chart2.data.datasets\[0\].data = newData2;

            chart1.update();
            chart2.update();
        }
    });
</script>

In this example, we have two Chart.js instances (chart1 and chart2) displaying line charts. We also have a datepicker input element that users can use to select a date range. When the date range changes, the data of both charts is updated based on the selected date range, and both charts are redrawn to reflect the changes.

You can customize this example further based on your specific requirements and data structure.

How to add a datepicker to a chart.js chart?

To add a datepicker to a chart.js chart, you can use a library like jQuery UI's Datepicker along with event listeners to update the chart data based on the selected date. Here's a step-by-step guide on how to do this:

Step 1: Include the necessary libraries in your HTML file. Make sure to include jQuery, jQuery UI, and Chart.js libraries.

Step 2: Create a datepicker input field in your HTML file.

Step 3: Initialize the datepicker on the input field using jQuery.

$( function() { $("#datepicker").datepicker(); } );

Step 4: Add an event listener to the datepicker input field to update the chart data based on the selected date.

$("#datepicker").change(function(){ // Get the selected date var selectedDate = $(this).val();

// Update the chart data based on the selected date // For example, you can modify the chart's data array here // chart.data.datasets[0].data = newData;

// Update the chart chart.update(); });

Step 5: Create a new Chart.js chart with your data and options.

var ctx = document.getElementById('myChart').getContext('2d'); var chart = new Chart(ctx, { type: 'line', data: { labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'], datasets: [{ label: 'My Dataset', data: [65, 59, 80, 81, 56, 55, 40], borderColor: 'blue', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false } });

Now, when you select a date in the datepicker input field, the chart data will be updated accordingly. Make sure to customize the code to fit your specific chart data and options.

What is the process for adding new data points based on the datepicker selection in chart.js?

To add new data points based on the datepicker selection in Chart.js, you will need to first create a function that retrieves the selected date from the datepicker. Once you have the selected date, you can then use it to filter your original dataset to only include data points that fall within that date range.

Here is a step-by-step process for adding new data points based on the datepicker selection in Chart.js:

  1. Create a datepicker element in your HTML code, and add an event listener to it that triggers a function when a date is selected.
  2. In the function triggered by the datepicker selection, retrieve the selected date using JavaScript. You can use the value property of the datepicker element to get the selected date.
  3. Filter your original dataset to only include data points that fall within the selected date range. You can use JavaScript's filter() method to create a new array of data points that meet the criteria.
  4. Once you have the filtered data, update your Chart.js chart with the new data points. You can use Chart.js methods like update() or destroy() followed by render() to update the chart with the new data points.

By following these steps, you should be able to add new data points to your Chart.js chart based on the datepicker selection.

What is the impact of responsive design on filtering chart.js data with a datepicker?

Responsive design allows the chart.js data with a datepicker to be displayed correctly and adapt to different screen sizes and devices. This means that the data filtering options, such as selecting dates with the datepicker, will also be optimized for different screen sizes and resolutions.

When implementing responsive design for filtering chart.js data with a datepicker, it is important to ensure that the datepicker is easy to use and navigate on all devices, even on smaller screens. This may involve making the datepicker collapsible or using dropdown menus to select dates, depending on the design and layout of the website or application.

Overall, the impact of responsive design on filtering chart.js data with a datepicker is that it improves user experience by making the data filtering process more intuitive and accessible across different devices. This can lead to a better overall user experience and increased engagement with the data visualization tool.

How to implement multiple datepickers for filtering different datasets in chart.js?

To implement multiple datepickers for filtering different datasets in Chart.js, you can follow these steps:

  1. Create multiple input fields for date selection in your HTML file.
  1. Initialize the datepickers using a JavaScript library like datepicker.js or any other datepicker library.

$(document).ready(function(){ $('#startDate1').datepicker(); $('#endDate1').datepicker(); $('#startDate2').datepicker(); $('#endDate2').datepicker(); });

  1. Create a Chart.js chart with the datasets you want to filter.

var ctx = document.getElementById('myChart').getContext('2d'); var myChart = new Chart(ctx, { type: 'line', data: { labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'], datasets: [{ label: 'Dataset 1', data: [12, 19, 3, 5, 2, 3, 11], borderColor: 'red', borderWidth: 1, fill: false }, { label: 'Dataset 2', data: [7, 11, 5, 8, 3, 7, 4], borderColor: 'blue', borderWidth: 1, fill: false }] } });

  1. Add event listeners to the datepickers to filter the datasets based on selected dates.

$('#startDate1, #endDate1').change(function() { var startDate = new Date($('#startDate1').val()); var endDate = new Date($('#endDate1').val());

// Filter dataset 1

});

$('#startDate2, #endDate2').change(function() { var startDate = new Date($('#startDate2').val()); var endDate = new Date($('#endDate2').val());

// Filter dataset 2

});

In the event listeners, you can filter the datasets based on the selected start and end dates and then update the chart accordingly. For example, you can update the chart data with filtered data and re-draw the chart.

This is just a high-level overview of how you can implement multiple datepickers for filtering different datasets in Chart.js. You may need to adjust the code based on your specific requirements and dataset structures.