The range slider widget allows you to select a floating-point range from a slider with start and endpoints. The Bokeh widget RangeSlider consists of start and end values, a step size, an initial value, and a title....

In this article, we are going to see how to work with images in Bokeh....

Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity....

Bokeh is a data visualization library in Python that provides high-performance interactive charts and plots and the output can be obtained in various mediums like notebook, html and server. The Figure Class create a new Figure for plotting. It is a subclass of Plot that simplifies plot creation with default axes, grids, tools, etc....

Bokeh is an interactive visualization library that helps us to create a visual representation of data set and interact with it. You can create various types of visualizations such as bar charts, horizontal plots,time-series, etc. There are various methods to include Bokeh apps and widgets into web apps and pages....

Bokeh is a powerful data visualization library in Python that allows you to create interactive and visually appealing plots. The Bokeh plotting module provides several tools that can be used to enhance the functionality of the plots. These tools can be configured to suit your specific needs. In this article, we will learn about the Configuring Plot Tools in Bokeh in Python with some examples....

Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to display Google maps. To use Google maps in Bokeh, we will use the...

Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity....

Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity....

In this article, we will be learning about Labels in Bokeh. Labels are the short words or phrases that are used in order to define something in a plot....

In this article, we’ll learn how to do Interactive Data Visualization with Bokeh. Bokeh is a Python library that is used for creating interactive visualizations for modern web browsers. It handles custom or specialized use cases very simply.  It provides high-performance interactive charts and plots. Bokeh output can be obtained in various mediums like a notebook, HTML, and server. It is possible to embed bokeh plots in Django and Flask apps. Here we will be exploring all the key features and code for it. So let’s get started....

Bokeh includes several layout options for arranging plots and widgets. They make it possible to arrange multiple components to create interactive data applications. The layout functions helps build a grid of plots and widgets. It supports nesting of as many rows, columns, or grids of plots together as required. In addition, Bokeh layouts support a number of “sizing modes”. These sizing modes allow plots and widgets to resize based on the browser window....