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Programmatically Stop Interaction for specific Figure in Jupyter notebook
To programmatically stop interaction for specific figures in Jupyter notebook, we can use plt.ioff() to turn off interactive mode. This prevents figures from automatically displaying when created or modified.
Understanding Interactive Mode
By default, matplotlib in Jupyter notebooks runs in interactive mode. When interactive mode is on, plots are displayed immediately. Using plt.ioff() turns off this behavior, giving you control over when figures are displayed.
Step-by-Step Process
Follow these steps to control figure interaction ?
- Enable matplotlib backend with
%matplotlib auto - Import matplotlib and configure figure settings
- Create your plot normally
- Use
plt.ioff()to turn off interaction - Make additional plot modifications
- Manually display with
fig.show()
Example
%matplotlib auto import matplotlib.pyplot as plt # Configure figure settings plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # Create figure and plot first line fig, ax = plt.subplots() ax.plot([2, 4, 7, 5, 4, 1], label='First line') # Turn off interactive mode plt.ioff() # Add second line (won't display automatically) ax.plot([1, 1, 2, 1, 2, 2], label='Second line') ax.legend() # Manually display the figure fig.show()
Key Functions
| Function | Purpose | Effect |
|---|---|---|
plt.ion() |
Turn on interactive mode | Plots display automatically |
plt.ioff() |
Turn off interactive mode | Plots require manual display |
fig.show() |
Display figure manually | Shows the complete figure |
Use Cases
This technique is useful when you want to ?
- Build complex plots step by step without intermediate displays
- Control exactly when figures appear in your notebook
- Prevent automatic figure updates during plot modifications
- Create multiple plots and display them together at the end
Conclusion
Use plt.ioff() to disable interactive mode and gain control over when matplotlib figures are displayed in Jupyter notebooks. This is particularly useful for complex plotting workflows where you want to build plots incrementally.
