I've recently switched from Enthought Canopy to Anaconda and am using the Spyder IDE. I've noticed that when I plot some data, import matplotlib.pyplot as plt plt.figure() plt.plot(rigs2) plt.ion() plt.show() It shows up as an inline figure in the IPython console:

Mar 7, 2024 · An effective way to enable interactive plots in Spyder is to use the %matplotlib magic command within the IPython console. This command configures Matplotlib to work interactively. You can specify different backends based on your requirements, such as qt, inline, or notebook, to tailor the interactivity to the environment. Here’s an example:

Mar 30, 2015 · When I use Matplotlib to plot some graphs, it is usually fine for the default inline drawing. However, when I draw some 3D graphs, I'd like to have them in a separate window so that interactions like rotation can be enabled.

Mar 11, 2024 · Matplotlib is a powerful library for creating plots and charts in Python. With the help of Spyder IDE, we can easily write and execute Python code to generate various types of plots. By customizing the plots and plotting multiple lines, we can create visually appealing and informative visualizations of our data.

The Plots pane shows the static figures and images created during your session. It will show you plots from the IPython Console, produced by your code in the Editor or generated by the Variable Explorer allowing you to interact with them in several ways.

Mar 8, 2016 · Is there something simple I'm missing when using spyder? You have to change the backend to run an animation in the IPython console. You can do that by running %matplotlib qt command before the animation.

Apr 19, 2024 · Getting interactive plots in Spyder, IPython, and Matplotlib in Python 3 allows for a more engaging and dynamic data visualization experience. By enabling interactive mode and utilizing functions like set_data() and canvas.draw() , …

Aug 28, 2024 · This guide has demonstrated the power of customizing plots and visualizations with Spyder and matplotlib. With these examples, you're well-equipped to create stunning and informative plots that showcase your scientific or data-driven insights.

Spyder includes out of the box integration with Matplotlib, Pandas and many other libraries to help you work more efficiently with them. Browse all your plots in a single place. Make a bigger impact with reusable research. The software you write is critical for new scientific discoveries and engineering solutions.

Any IPython Console, whether external or started by Spyder, supports: Automatic code completion. Real-time function calltips. Full GUI integration with the enhanced Spyder Debugger. The Variable Explorer, with GUI-based editors for many built-in and third-party Python objects.