将 Matplotlib 图另存为 TIFF

Question

有谁知道如何将 Matplotlib 图形保存为 *.tiff？ Python似乎不支持这种格式，而期刊经常要求这种格式。

我正在添加一些最少的代码：

# -*- coding: utf-8 -*-

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

# fig setup
fig = plt.figure(figsize=(5,5), dpi=300)
ax = fig.gca(projection='3d')
ax.set_xlim([-1,1])
ax.set_ylim([-1,1])
ax.set_zlim([-1,1])
ax.axes.xaxis.set_ticklabels([])
ax.axes.yaxis.set_ticklabels([])
ax.axes.zaxis.set_ticklabels([])

# draw a surface
xx, yy = np.meshgrid(range(-1,2), range(-1,2))
zz = np.zeros(shape=(3,3))
ax.plot_surface(xx, yy, zz, color='#c8c8c8', alpha=0.3)
ax.plot_surface(xx, zz, yy, color='#b6b6ff', alpha=0.2)

# draw a point
ax.scatter([0],[0],[0], color='b', s=200)

这个有效：

fig.savefig('3dPlot.pdf')

但这不是：

fig.savefig('3dPlot.tif')

Answer 1

作为解决方法，没有什么可以阻止您使用 Python PIL 包以 TIFF 格式保存图像：

# -*- coding: utf-8 -*-

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

from PIL import Image
import io

# fig setup
fig = plt.figure(figsize=(5,5), dpi=300)
ax = fig.gca(projection='3d')
ax.set_xlim([-1,1])
ax.set_ylim([-1,1])
ax.set_zlim([-1,1])
ax.axes.xaxis.set_ticklabels([])
ax.axes.yaxis.set_ticklabels([])
ax.axes.zaxis.set_ticklabels([])

# draw a surface
xx, yy = np.meshgrid(range(-1,2), range(-1,2))
zz = np.zeros(shape=(3,3))
ax.plot_surface(xx, yy, zz, color='#c8c8c8', alpha=0.3)
ax.plot_surface(xx, zz, yy, color='#b6b6ff', alpha=0.2)

# draw a point
ax.scatter([0],[0],[0], color='b', s=200)

#fig.savefig('3dPlot.pdf')

# Save the image in memory in PNG format
png1 = io.BytesIO()
fig.savefig(png1, format="png")

# Load this image into PIL
png2 = Image.open(png1)

# Save as TIFF
png2.save("3dPlot.tiff")
png1.close()

如果使用 Python 2.x，请使用 cStringIO 而不是 BytesIO，如下所示：

import cStringIO

# Replace the BytesIO() call with
png1 = cStringIO.StringIO()

Answer 2

太棒了！谢谢你 Martin Evans。然而，对于那些想要在 Python3.x 中实现它的人来说，小修复（因为 cStringIO 模块不可用；我宁愿使用 BytesIO）

# -*- coding: utf-8 -*-

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

from PIL import Image
from io import BytesIO

# fig setup
fig = plt.figure(figsize=(5,5), dpi=300)
ax = fig.gca(projection='3d')
ax.set_xlim([-1,1])
ax.set_ylim([-1,1])
ax.set_zlim([-1,1])
ax.axes.xaxis.set_ticklabels([])
ax.axes.yaxis.set_ticklabels([])
ax.axes.zaxis.set_ticklabels([])

# draw a point
ax.scatter([0],[0],[0], color='b', s=200)

# save figure
# (1) save the image in memory in PNG format
png1 = BytesIO()
fig.savefig(png1, format='png')

# (2) load this image into PIL
png2 = Image.open(png1)

# (3) save as TIFF
png2.save('3dPlot.tiff')
png1.close()

Answer 3

Matplotlib does support tif since version 1.1 but the support is optional and not obvious. As long as you have pillow 已安装，您可以保存为 tif，就像可以保存为任何其他格式一样。因此，您的示例将只是：

# -*- coding: utf-8 -*-

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
import PIL # not necessary but mustn't fail

# fig setup
fig = plt.figure(figsize=(5,5), dpi=300)
ax = fig.gca(projection='3d')
ax.set_xlim([-1,1])
ax.set_ylim([-1,1])
ax.set_zlim([-1,1])
ax.axes.xaxis.set_ticklabels([])
ax.axes.yaxis.set_ticklabels([])
ax.axes.zaxis.set_ticklabels([])

# draw a surface
xx, yy = np.meshgrid(range(-1,2), range(-1,2))
zz = np.zeros(shape=(3,3))
ax.plot_surface(xx, yy, zz, color='#c8c8c8', alpha=0.3)
ax.plot_surface(xx, zz, yy, color='#b6b6ff', alpha=0.2)

# draw a point
ax.scatter([0],[0],[0], color='b', s=200)

fig.savefig('3dPlot.tif')

Answer 4

您只需安装 Pillow 即可。然后你可以使用这个：

fig.savefig('3dPlot.tiff')

将 Matplotlib 图另存为 TIFF

Save Matplotlib figure as TIFF

python

tiff

matplotlib