Create interactive 3D surface plots using NumPy and Plotly. This example demonstrates how to generate a 3D surface plot of a function.
While this article focuses on Matplotlib, it also covers the basics of 3D plotting in Python, which can be applied to using NumPy and Plotly for surface plots.
This research paper explores various libraries for interactive 3D visualization in Python, including Plotly, and discusses their applications in data science.
Although this example uses Matplotlib for plotting, understanding NumPy's role in generating the data for a 3D surface plot is crucial, and can be adapted for use with Plotly.
This video tutorial covers how to create various 3D charts using Plotly, including surface plots, and provides a comprehensive introduction to Plotly's 3D plotting capabilities.
This course covers data visualization principles and tools in Python, including how to create interactive 3D surface plots using Plotly, as part of a broader data science curriculum.
This course at the University of California, San Diego, covers scientific computing and visualization, including 3D plotting techniques using Python, NumPy, and various visualization libraries like Plotly.
The official Plotly documentation provides detailed examples and reference materials for creating 3D surface plots, including how to customize appearances and interact with the plots.