pythonpandasnumpymatplotlibdata-visualization

Saving Matplotlib graphs to image as full screen


I'm building a small graphing utility using Pandas and MatPlotLib to parse data and output graphs from a machine at work.

When I output the graph using

plt.show()

I end up with an unclear image that has legends and labels crowding each other out like so.

Sample Bad Image However, expanding the window to full-screen resolves my problem, repositioning everything in a way that allows the graph to be visible.

I then save the graph to a .png like so

plt.savefig('sampleFileName.png')

But when it saves to the image, the full-screen, correct version of the plot isn't saved, but instead the faulty default version.

How can I save the full-screen plt.show() of the plot to .png?

I hope I'm not too confusing.

Thank you for your help!


Solution

  • The method you use to maximise the window size depends on which matplotlib backend you are using. Please see the following example for the 3 most common backends:

    import matplotlib.pyplot as plt
    
    plt.figure()
    plt.plot([1,2], [1,2])
    
    # Option 1
    # QT backend
    manager = plt.get_current_fig_manager()
    manager.window.showMaximized()
    
    # Option 2
    # TkAgg backend
    manager = plt.get_current_fig_manager()
    manager.resize(*manager.window.maxsize())
    
    # Option 3
    # WX backend
    manager = plt.get_current_fig_manager()
    manager.frame.Maximize(True)
    
    plt.show()
    plt.savefig('sampleFileName.png')
    

    You can determine which backend you are using with the command matplotlib.get_backend(). When you save the maximized version of the figure it will save a larger image as desired.