A Bokeh widget refers to an interactive GUI element the Bokeh library provides. It is a popular Python library for data visualization.
Designers create Bokeh for web development to create interactive interface visualizations. Users can interact with data visualizations using Bokeh widgets in real time. They offer interactive controls and input options used to change the displayed data.
Some common Bokeh widgets include:
- bokeh sliders
- simple buttons
- dropdown menus
- text inputs
- text arguments
- checkboxes and more.
Users use bokeh widgets for interactive data visualization. It allows users to control and explore data plots in web-based bokeh applications. There are various bokeh effects in photography and video.
Some common bokeh styles include:
- Soft Bokeh
- Circular Bokeh
- Hexagonal or Polygonal Bokeh
- Creamy Bokeh
- Busy or Busy Bokeh
- Dramatic Bokeh
- Custom Bokeh Shapes
You can use photography techniques to capture Bokeh in different scenarios:
- Bokeh in Portraits (Photos of People)
- Bokeh in Still Life and Macro Photography
- Bokeh in Landscape Photography
Smartphones have small image sensors compared to DSLRs or mirrorless cameras. In Bokeh, single-selection and multi-selection widgets are interactive elements. Users can use new plots and interactive charts to interact with the data frame display area. These widgets enable users to select specific data points, data providing exploratory experience.
In conclusion, Bokeh is a powerful tool for photographers. It helps them create stunning images and enhance compositions. The concept of Bokeh remains highly sought-after among the first smartphone photographers.