我对这一切都比较陌生,我开始学习图像分析教程 here .当试图执行 pylab.imshow(dna)
步骤它返回以下错误:
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
可以肯定的是,我已按照教程中的所有说明进行操作,但我无法确定是出了什么问题。
最佳答案
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)
这就是问题所在,如果您通过 3D
ndarray
,它预计您将拥有 3 或 4 个平面(RGB 或 RGBA)(阅读堆栈跟踪最后一帧中第 410 行的代码)。你只需要摆脱额外的维度使用
dna = dna.squeeze()
或者imshow(dna.squeeze())
看看squeeze
正在做,看下面的例子:a = np.arange(25).reshape(5, 5, 1)
print a.shape # (5, 5, 1)
b = a.squeeze()
print b.shape # (5, 5)
关于python - 使用 pylab.imshow() 显示图像,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/15008045/