To generate your first interactive plot with Bokeh, create a new Python script and import necessary components from Bokeh. Define your data sources and create a new plot using the figure function.

The next plot is the 3D Surface plot and for that, we need to create some data using pandas as you see in the following: You should get something like: Now let’s throw this on a 3d chart using ...

With libraries like Plotly, you can create plots that respond to mouse hovers, clicks, or drags, making your data exploration interactive and user-friendly. Add your perspective ...

The Python Extension for Visual Studio Code -- installed more than 9.3 million times -- has received an update that closes some 70 issues. Among those called out for special attention in the June 2019 ...

This is a Python-based tool for creating interactive data visualizations using the Plotly library. With this tool, you can create a wide range of charts, such as line charts, scatter plots, bar charts ...

This open-source code repository provides a Python implementation for generating an interactive well trajectory plot using Plotly. The focus of this code is to visualize the trajectory of Well ...

bqplot is a Python plotting library in which every plot attribute is an interactive widget. Create complex and feature rich GUIs with a few lines of code. Skip to content.

However, the upcoming version 2.0 will support Javascript-based interactive widgets, thereby making the implementation of interactive hardware-accelerated plots possible in the notebook. The ...