Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython. When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot procedural interface, so take a look at the examples/api directory for …

1 day ago · Jupyter Notebook is a free, open-source web app that lets you create and share documents with live code and visualizations. It is commonly used for tasks like cleaning and transforming data, doing statistical analysis, creating visualizations and machine learning. Matplotlib is a popular Python library for creating 2D plots. It is easy to use ...

ipympl enables using the interactive features of matplotlib in Jupyter Notebooks, Jupyter Lab, Google Colab, VSCode notebooks. Matplotlib requires a live Python kernel to have interactive plots so by default the outputs on this page will not be interactive.

In this example, we create and modify a figure via an IPython prompt. The figure displays in a QtAgg GUI window. To configure the integration and enable interactive mode use the %matplotlib magic: Create a new figure window: Add a line plot of the data to the window: Change the color of the line from blue to orange:

Apr 5, 2018 · Different methods of using matplotlib in notebooks: Option 1: Use %matplotlib notebook to get zoom-able & resize-able notebook. This is the best for quick tests where you need to work...

This notebook provides an overview of and playground for matplotlib.pyplot, a visualization framework for Python. Using this notebook The tutorial is best viewed in an interactive Jupyter...

Matplotlib is the most popular plotting library in python. Using matplotlib, you can create pretty much any type of plot. However, as your plots get more complex, the learning curve can get steeper.

To do this you can use plt.ioff() as a context manager. fig = plt.figure() center=fig.canvas, footer=widgets.Button(icon='check'), pane_heights=[0, 6, 1] # an ipywidgets layout. See...

Plotting interactively within a Jupyter notebook can be done with the %matplotlib command, and works in a similar way to the IPython shell. You also have the option of embedding graphics...

(I am using Python 2.7, matplotlib 2.0 and I have just updated notebook and jupyter to the latest version. let me know if further info is needed.) As you want to change the figure, instead of creating a new one, may I suggest the following way: Update the line in the plot, instead of drawing new ones. So the code could look something like this: