How to Remove Axes, Legends, and White Padding from Matplotlib Images?

Eliminating Axes, Legends, and White Padding in Matplotlib Images

To create a clean visual representation of images in Matplotlib, removing axes, legends, labels, and any additional elements is essential. Here's how to do it:

1. Remove Axes: Use the axis('off') method to hide both x and y axes.
2. Remove Legends: To remove legends, set the legend() function to None or simply don't call it at all.
3. Eliminate White Padding: Using bbox_inches='tight' in the savefig() command removes most of the surrounding white space.

In your example:

def make_image(inputname, outputname):
    data = mpimg.imread(inputname)[:,:,0]
    fig = plt.imshow(data)
    fig.set_cmap('hot')
    plt.axis('off')
    plt.savefig(outputname, bbox_inches='tight')

This code successfully removes the axes and eliminates the white padding, leaving only the desired image.

Note: In some newer versions of Matplotlib, bbox_inches='tight' has been replaced with bbox_inches=0.

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