Show Matplotlib graphs to image as fullscreen

To show matplotlib graphs as fullscreen, we can use the full_screen_toggle() method from the figure manager. This is useful when you want to maximize the plot window for better visualization or presentation purposes.

Steps

• Create a figure or activate an existing figure using figure() method

• Plot your data using matplotlib plotting functions

• Get the figure manager of the current figure using get_current_fig_manager()

• Toggle fullscreen mode using full_screen_toggle() method

• Display the figure using show() method

Basic Example

Here's how to create a simple plot and display it in fullscreen mode ?

import matplotlib.pyplot as plt

# Configure figure size and layout
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

# Create figure and plot data
plt.figure()
plt.plot([1, 2, 3, 4], [1, 4, 2, 3], marker='o')
plt.title('Sample Line Plot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')

# Get figure manager and toggle fullscreen
manager = plt.get_current_fig_manager()
manager.full_screen_toggle()

# Display the plot
plt.show()

Advanced Example with Multiple Plots

You can also use fullscreen mode with subplots for complex visualizations ?

import matplotlib.pyplot as plt
import numpy as np

# Create sample data
x = np.linspace(0, 10, 100)
y1 = np.sin(x)
y2 = np.cos(x)

# Create subplots
fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 6))

# Plot on first subplot
ax1.plot(x, y1, 'b-', label='sin(x)')
ax1.set_title('Sine Wave')
ax1.legend()
ax1.grid(True)

# Plot on second subplot
ax2.plot(x, y2, 'r-', label='cos(x)')
ax2.set_title('Cosine Wave')
ax2.legend()
ax2.grid(True)

# Get figure manager and toggle fullscreen
manager = plt.get_current_fig_manager()
manager.full_screen_toggle()

plt.tight_layout()
plt.show()

Key Points

• The full_screen_toggle() method works on the figure manager, not the figure itself

• This method toggles between fullscreen and windowed mode each time it's called

• The fullscreen feature depends on the matplotlib backend being used

• Some backends may not support fullscreen functionality

Backend Compatibility

Different matplotlib backends have varying support for fullscreen mode. The method works best with interactive backends like Qt5Agg, TkAgg, and GTK3Agg.

Output

When executed, the plot window will automatically switch to fullscreen mode, maximizing the visualization area. The exact appearance depends on your operating system and matplotlib backend.

Conclusion

Use full_screen_toggle() method from the figure manager to display matplotlib plots in fullscreen mode. This feature enhances visualization for presentations and detailed data analysis, though backend compatibility should be considered.