Python Dynamic Charts using Django
Python Dynamic Charts are used for displaying live data that varies with time. Hence they are also referred to as Live / Realtime Charts. Dynamic updates are supported across all the chart types including line, column, scatter, financial charts, etc. making it easier to update data live. Charts are updated instantly & performs faster.
Python Dynamic Charts
Dynamic Charts are also referred to as Realtime / Live Charts.
Features used Commonly in Python Dynamic Charts
Most commonly used features in Python Dynamic Charts include updating chart options, adding datapoints, getters & setters.
- Chart can be updated dynamically by modifying chart-options & calling chart.render() method.
- addTo method allows you to add new datapoint to the chart.
- get method can be used to get the value of any chart property.
- set method can be used to set / update any property after the first render.
General Tips for Python Dynamic Charts
- Do not re-create chart each time you have to add a new datapoint. Instead, update the datapoints array & call render() method of chart.