使用subplot时删除白色边框并在python中显示imshow(Matplotlib)

问题描述 投票:7回答:2
import numpy as np
import sys
import matplotlib as mpl
import matplotlib.pyplot as plt

我使用以下代码来保存图像

fig, ax = plt.subplots(frameon=False)
ax.axis                 ('off')
ax.imshow               (array[:,:,0,0,0])
fig.savefig             ("file.png", bbox_inches='tight')

然而,我得到的是enter image description here,这显然仍然有一个白色边框。我怎么摆脱它?


array.shape是:(256,256,1,1,3)

python matplotlib figure imshow
2个回答
10
投票

看看我的例子它可能对你有所帮助:

import numpy as np
import matplotlib.pyplot as plt

def save_image(data, filename):
    sizes = np.shape(data)     
    fig = plt.figure()
    fig.set_size_inches(1. * sizes[0] / sizes[1], 1, forward = False)
    ax = plt.Axes(fig, [0., 0., 1., 1.])
    ax.set_axis_off()
    fig.add_axes(ax)
    ax.imshow(data)
    plt.savefig(filename, dpi = sizes[0], cmap='hot') 
    plt.close()

data = np.random.randint(0, 100, (256, 256))
save_image(data, '1.png')

enter image description here


1
投票

对上述答案的修改很少:

def save_image(data, filename):
  sizes = np.shape(data)     
  fig = plt.figure(figsize=(1,1))
  ax = plt.Axes(fig, [0., 0., 1., 1.])
  ax.set_axis_off()
  fig.add_axes(ax)
  ax.imshow(data, cmap = plt.get_cmap("bone"))
  plt.savefig(filename, dpi = sizes[0]) 
  plt.close()
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