I'm trying to visualize a numpy array using imshow() since it's similar to imagesc() in Matlab.
我尝试使用imshow()来可视化一个numpy数组，因为它与Matlab中的imagesc()相似。
imshow(random.rand(8, 90), interpolation='nearest')
The resulting figure is very small at the center of the grey window, while most of the space is unoccupied. How can I set the parameters to make the figure larger? I tried figsize=(xx,xx) and it's not what I want. Thanks!
得到的图形在灰色窗口的中心非常小，而大部分空间是空的。如何设置参数使图形更大?我尝试过figsize=(xx,xx)，但这不是我想要的。谢谢!
3 个解决方案
#1
75
If you don't give an aspect argument to imshow, it will use the value for image.aspect in your matplotlibrc. The default for this value in a new matplotlibrc is equal. So imshow will plot your array with equal aspect ratio.
如果不给出一个方面参数来imshow，它将使用image的值。在你的matplotlibrc方面。新matplotlibrc中的这个值的默认值是相等的。imshow将用等纵横比绘制数组。
If you don't need an equal aspect you can set aspect to auto
如果不需要相等的方面，可以将方面设置为auto
imshow(random.rand(8, 90), interpolation='nearest', aspect='auto')
which gives the following figure
哪个给出了下面的数字
If you want an equal aspect ratio you have to adapt your figsize according to the aspect
如果你想要等高宽比，你必须根据高来调整你的外形尺寸
fig, ax = subplots(figsize=(18, 2))
ax.imshow(random.rand(8, 90), interpolation='nearest')
tight_layout()
which gives you:
它给你:
#2
9
That's strange, it definitely works for me:
这很奇怪，对我来说很有用:
figure(figsize = (20,2))
imshow(random.rand(8, 90), interpolation='nearest')
I am using the "MacOSX" backend, btw.
我使用的是“MacOSX”后端，顺便说一下。
#3
1
I'm new to python too. Here is something that looks like will do what you want to
我对python也不熟。这里有一些看起来可以做你想做的事情
axes([0.08, 0.08, 0.94-0.08, 0.94-0.08]) #[left, bottom, width, height]
axis('scaled')`
I believe this decides the size of the canvas.
我相信这决定了画布的大小。
#1
75
If you don't give an aspect argument to imshow, it will use the value for image.aspect in your matplotlibrc. The default for this value in a new matplotlibrc is equal. So imshow will plot your array with equal aspect ratio.
如果不给出一个方面参数来imshow，它将使用image的值。在你的matplotlibrc方面。新matplotlibrc中的这个值的默认值是相等的。imshow将用等纵横比绘制数组。
If you don't need an equal aspect you can set aspect to auto
如果不需要相等的方面，可以将方面设置为auto
imshow(random.rand(8, 90), interpolation='nearest', aspect='auto')
which gives the following figure
哪个给出了下面的数字
If you want an equal aspect ratio you have to adapt your figsize according to the aspect
如果你想要等高宽比，你必须根据高来调整你的外形尺寸
fig, ax = subplots(figsize=(18, 2))
ax.imshow(random.rand(8, 90), interpolation='nearest')
tight_layout()
which gives you:
它给你:
#2
9
That's strange, it definitely works for me:
这很奇怪，对我来说很有用:
figure(figsize = (20,2))
imshow(random.rand(8, 90), interpolation='nearest')
I am using the "MacOSX" backend, btw.
我使用的是“MacOSX”后端，顺便说一下。
#3
1
I'm new to python too. Here is something that looks like will do what you want to
我对python也不熟。这里有一些看起来可以做你想做的事情
axes([0.08, 0.08, 0.94-0.08, 0.94-0.08]) #[left, bottom, width, height]
axis('scaled')`
I believe this decides the size of the canvas.
我相信这决定了画布的大小。