从matplotlib绘图中删除填充 [英] Remove padding from matplotlib plotting
本文介绍了从matplotlib绘图中删除填充的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
def field_plot():
pre>
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(velocity [i]),0,1-rgb_number(velocity [i])),linewidth = 1)
plt.axis('off'
plt.savefig(IMG_DIR +'match.png',bbox_inches ='tight',transparent =True)
plt.clf()
解决方案尝试使用
pad_inches = 0
,即plt.savefig(IMG_DIR +'match.png',bbox_inches ='tight',transparent =True,pad_inches = 0)
从文档:
pad_inches:当bbox_inches为$时,数字的填充量b $ b'tight'。
我认为默认值是
pad_inches = 0.1
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()
解决方案Try using
pad_inches=0
, i.e.plt.savefig( IMG_DIR + 'match.png',bbox_inches='tight', transparent="True", pad_inches=0)
From the documentation:
pad_inches: Amount of padding around the figure when bbox_inches is ‘tight’.
I think the default is
pad_inches=0.1
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