用pylab.imshow（）显示图像 [英] Showing an image with pylab.imshow()

问题描述

我对这一切都比较新，我开始在这里做图像分析教程： http： //www.pythonvision.org/basic-tutorial
我已经安装了所有模块但是在遇到障碍之前我没有走得太远。
尝试执行 pylab.imshow（dna）步骤时返回以下错误：

I'm relatively new to all this and I started to do the tutorial on image analysis here: http://www.pythonvision.org/basic-tutorial I have installed all the modules but I didn't get very far before hitting a snag. when trying to perform the pylab.imshow(dna) step it returns the following error:

In [10]: pylab.imshow(dna)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-10-fc86cadb4e46> in <module>()
----> 1 pylab.imshow(dna)

 /usr/lib/pymodules/python2.7/matplotlib/pyplot.pyc in imshow(X, cmap, norm, aspect,    interpolation, alpha, vmin, vmax, origin, extent, shape, filternorm, filterrad, imlim, resample, url, hold, **kwargs)
   2375         ax.hold(hold)
   2376     try:
-> 2377         ret = ax.imshow(X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, shape, filternorm, filterrad, imlim, resample, url, **kwargs)
   2378         draw_if_interactive()
   2379     finally:

/usr/lib/pymodules/python2.7/matplotlib/axes.pyc in imshow(self, X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, shape, filternorm, filterrad, imlim, resample, url, **kwargs)
   6794                        filterrad=filterrad, resample=resample, **kwargs)
   6795 
-> 6796         im.set_data(X)
   6797         im.set_alpha(alpha)
   6798         self._set_artist_props(im)

/usr/lib/pymodules/python2.7/matplotlib/image.pyc in set_data(self, A)
    409         if (self._A.ndim not in (2, 3) or
    410             (self._A.ndim == 3 and self._A.shape[-1] not in (3, 4))):
--> 411             raise TypeError("Invalid dimensions for image data")
    412 
    413         self._imcache =None

TypeError: Invalid dimensions for image data

相当确定我已按照教程中的所有说明进行了写信，但我无法解决问题是

Fairly certain I have followed all the instructions in the tutorial to the letter but I can't work out was is going wrong

谢谢

推荐答案

这就像dna = mahotas中保存的图像一样.imread（'dna.jpeg'）类型（dna）给出numpy.ndarray和dna.shape给出（1024,1344,1）

"it's just what the image is saved as in dna = mahotas.imread('dna.jpeg') type(dna) gives numpy.ndarray and dna.shape gives (1024, 1344, 1) "

这是问题，如果您提交3D ndarray ，它预计您将拥有3或4个平面（RGB或RGBA）。 （读取堆栈跟踪最后一帧中第410行的代码）。

This is the problem, if you hand in a 3D ndarray, it expects that you will have 3 or 4 planes (RGB or RGBA). (Read the code on line 410 in the last frame of the stack trace).

您只需要使用

dna = dna.squeeze()

或

imshow(dna.squeeze())

要查看挤压的作用，请参阅以下示例：

To see what squeeze is doing, see the following example:

a = np.arange(25).reshape(5, 5, 1)
print a.shape # (5, 5, 1)
b = a.squeeze()
print b.shape # (5, 5)

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