Remove padding from matplotlib plotting

user_1502225 0
Viewed 25400

I am plotting an image in matplotlib, and it keeps giving me some padding. This is what I have tried:

def field_plot():
    x = [i[0] for i in path]
    y = [i[1] for i in path]
    plt.clf()
    plt.axis([0, 560, 0, 820])
    im = plt.imread('field.jpg')
    field = plt.imshow(im)
    for i in range(len(r)):
        plt.plot(r[i][0],r[i][1],c=(rgb_number(speeds[i]),0,1-rgb_number(speeds[i])),linewidth=1)
    plt.axis('off')
    plt.savefig( IMG_DIR + 'match.png',bbox_inches='tight', transparent="True")
    plt.clf()

This is how i see the image

matplotlib padding django python
5 Answers

Just add plt.tight_layout() before plt.savefig() !!

plt.figure(figsize=(16, 10))

# ... Doing Something ...

plt.tight_layout()
plt.savefig('wethers.png')
plt.show()
user_102126310

All previous approaches didn't quite work for me, they all left some padding around the figure.

The following lines successfully removed the white or transparent padding that was left:

plt.axis('off')
ax = plt.gca()
ax.xaxis.set_major_locator(matplotlib.ticker.NullLocator())
ax.yaxis.set_major_locator(matplotlib.ticker.NullLocator())
plt.savefig(IMG_DIR + 'match.png', pad_inches=0, bbox_inches='tight', transparent=True)
user_17382140

Use plt.gca().set_position((0, 0, 1, 1)) to let the axes span the whole figure, see reference. If plt.imshow is used, this requires that the figure has the correct aspect ratio.

import matplotlib as mpl
import matplotlib.pyplot as plt

# set the correct aspect ratio
dpi = mpl.rcParams["figure.dpi"]
plt.figure(figsize=(560/dpi, 820/dpi))

plt.axis('off')
plt.gca().set_position((0, 0, 1, 1))

im = plt.imread('field.jpg')
plt.imshow(im)

plt.savefig("test.png")
plt.close()
user_173399180
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