pcolormesh with shading=gouraud gives error when saved as eps #16217
Comments
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I provide an example. The first figure (etaGainH.png) is the one I save from python with plt.savefig('etaGainH.png'). The second figure is the one I get when I use plt.savefig('etaGainH.eps'). This is the code I'm using: fig, ax = plt.subplots(1,1,figsize=(5.3,4.3))
X,Y = np.meshgrid(hstar,invparam,indexing='ij')
cmap = mpl.cm.get_cmap('viridis') ;\
plt.pcolormesh(X,Y,etaGain*100,cmap=cmap,shading='gouraud');\
cbar = plt.colorbar()
cbar.set_label(r'$\mathcal{G}_{\eta}\;[\%]$',fontsize = 14)
plt.ylim([0.5,1.5])
plt.xlim([0.16,0.4])
plt.savefig('etaGainH.eps',format='eps',bbox_inches='tight',dpi=300)Note that if I use shading='flat' instead of shading='gouraud', this is what I get
Code fig, ax = plt.subplots(1,1,figsize=(5.3,4.3))
X,Y = np.meshgrid(hstar,invparam,indexing='ij')
cmap = mpl.cm.get_cmap('viridis') ;\
plt.pcolormesh(X,Y,etaGain*100,cmap=cmap,shading='flat');\
cbar = plt.colorbar()
cbar.set_label(r'$\mathcal{G}_{\eta}\;[\%]$',fontsize = 14)
plt.ylim([0.5,1.5])
plt.xlim([0.16,0.4])
plt.savefig('etaGainH.eps',format='eps',bbox_inches='tight',dpi=300)The problem seems to be related to this particular shading option. |
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Locally this works for me, and #1993 suggests that it indeed should. |
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Hi, thank you for your reply. import matplotlib.pyplot as plt
import numpy as np
plt.pcolormesh(np.random.randn(10,10), shading='gouraud')
plt.gcf().savefig('test.eps')works fine. However, when I save the image with .eps, some pixels change. You can see the difference in my second post. This problem does not exist when I use shading='flat' or when I save the image as .png. |
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Your example is not reproducible: we don't have the hstar, invparam variables. |
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I'm sorry, you are right. For images with shading='gouraud': import matplotlib
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0,1,25)
y = np.linspace(0,1,25)
X,Y = np.meshgrid(x,y,indexing='ij')
z = np.sin(X*2*np.pi) + np.cos(Y*2*np.pi)
cmap = plt.get_cmap('viridis')
plt.subplots(1,1,figsize=(5.3,4.3))
plt.pcolormesh(x, y, z, cmap=cmap, shading='gouraud')
cbar = plt.colorbar()
plt.title('Gouraud')
plt.savefig('TestGou.eps',bbox_inches='tight',dpi=300)Output: For images with shading='flat': import matplotlib
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0,1,25)
y = np.linspace(0,1,25)
X,Y = np.meshgrid(x,y,indexing='ij')
z = np.sin(X*2*np.pi) + np.cos(Y*2*np.pi)
cmap = plt.get_cmap('viridis')
plt.subplots(1,1,figsize=(5.3,4.3))
plt.pcolormesh(x, y, z, cmap=cmap, shading='flat')
cbar = plt.colorbar()
plt.title('Flat')
plt.savefig('TestFlat.eps',bbox_inches='tight',dpi=300)Output: If you compare the image TestGou.png and TestGou-eps-converted-to.pdf, they are different. On the other hand, TestFlat-eps-converted-to.pdf and TestFlat.png are identical. |
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Yes, I can confirm the difference now. |
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I'm not sure of the exact portion of the change that did it, but this was fixed by #23294. |
Bug summary
I have a pcolormesh that has shading='gouraud', and I am trying to save it to an .eps. If I save the image as .png everything works fine, but when I save it as .eps it gives error. A similar issue was already open and then closed in the past.
Code for reproduction
import matplotlib.pyplot as plt
import numpy as np
plt.pcolormesh(np.random.randn(10,10), shading='gouraud')
plt.gcf().savefig('test.eps')
Matplotlib version
matplotlib 3.1.1
Python 3.6.8 |Anaconda custom (64-bit)| (default, Feb 21 2019, 18:30:04) [MSC v.1916 64 bit (AMD64)]
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