blocks|key|5262710|text|这个问题首先出现在Google搜索中，查找此类型错误，但没有关于错误原因的一般答案。发帖者的独特问题是使用了不适当的对象类型作为plt.imshow()的主要参数。更普遍的答案是，plt.imshow()需要一个浮点数组，如果不指定float、numpy、pandas或其他任何类型，可能会推断出一种不同的数据类型。可以通过为对象的构造函数dtype参数指定一个float来避免这种情况。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|5262711|请参阅Numpy+documentation+here。|5262712|请参阅Pandas+documentation+here|5262713|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.scipy.org/doc/numpy/reference/generated/numpy.array.html|1|https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html#pandas.DataFrame^0|1S|C|2I|C|38|5|4Q|5|51|5|0|3|O|0|0|3|P|1|0^^$0|@$1|2|3|4|5|6|7|T|8|@$9|U|A|V|B|C]|$9|W|A|X|B|C]|$9|Y|A|Z|B|C]|$9|10|A|11|B|C]|$9|12|A|13|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|14|8|@]|D|@$9|15|A|16|1|17]]|E|$]]|$1|H|3|I|5|6|7|18|8|@]|D|@$9|19|A|1A|1|1B]]|E|$]]|$1|J|3|-4|5|6|7|1C|8|@]|D|@]|E|$]]]|K|$L|$5|M|N|O|E|$P|Q]]|R|$5|M|N|O|E|$P|S]]]]

This question comes up first in the Google search for this type error, but does not have a general answer about the cause of the error. The poster's unique problem was the use of an inappropriate object type as the main argument for <code>plt.imshow()</code>. A more general answer is that <code>plt.imshow()</code> wants an array of floats and if you don't specify a <code>float</code>, numpy, pandas, or whatever else, might infer a different data type somewhere along the line. You can avoid this by specifying a <code>float</code> for the <code>dtype</code> argument is the constructor of the object.

See the <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.array.html" rel="noreferrer">Numpy documentation here</a>.

See the <a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html#pandas.DataFrame" rel="noreferrer">Pandas documentation here</a>

blocks|key|1735553|text|当我试图绘制imagePath而不是图像本身时，就会发生这种情况。修复方法是加载图像并绘制它。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1735554|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

This happened for me when I was trying to plot an imagePath, instead of the image itself. The fix was to load the image, and plotting it.

blocks|key|1735592|text|当我无意中尝试绘制图像路径而不是图像时，出现了错误。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1735593|我的代码：|1735594|import+cv2+as+cv
from+matplotlib+import+pyplot+as+plt
import+pytesseract
from+resizeimage+import+resizeimage

img+=+cv.imread("D:\TemplateMatch\\fitting.png")+------>"THIS+IS+THE+WRONG+USAGE"
#cv.rectangle(img,(29,2496),(604,2992),(255,0,0),5)
plt.imshow(img)|code-block|syntax|javascript|1735595|更正：img+=+cv.imread("fitting.png")+->这是正确的用法“|offset|length|style|CODE|1735596|entityMap^0|0|0|0|3|U|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|S|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|T|8|@$K|U|L|V|M|N]]|9|@]|A|$]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

The error occurred when I unknowingly tried plotting the image path instead of the image.

My code :

<pre><code>import cv2 as cv
from matplotlib import pyplot as plt
import pytesseract
from resizeimage import resizeimage

img = cv.imread("D:\TemplateMatch\\fitting.png") ------&gt;"THIS IS THE WRONG USAGE"
#cv.rectangle(img,(29,2496),(604,2992),(255,0,0),5)
plt.imshow(img)
</code></pre>

Correction:
<code>img = cv.imread("fitting.png")</code> --->THIS IS THE RIGHT USAGE"

blocks|key|1486173|text|首先以数组的形式读取图像|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1486174|image+=+plt.imread(//image_path)
plt.imshow(image)|code-block|syntax|javascript|1486175|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

First read the image as an array
<pre><code>image = plt.imread(//image_path)
plt.imshow(image)
</code></pre>

blocks|key|1490542|text|我也收到了这个错误，上面给出的答案是我们应该首先上传它们，然后使用它们的名称而不是路径-但对于Kaggle数据集，这是不可能的。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1490543|因此，我想出的解决方案是通过以mpimg格式读取循环中的单个图像。这里我们可以使用路径，而不仅仅是图像名称。|1490544|我希望这对你们有帮助。|1490545|import+matplotlib.image+as+mpimg
for+img+in+os.listdir("/content/train"):+
++image+=+mpimg.imread(path)
++plt.imshow(image)
++plt.show()|code-block|syntax|javascript|1490546|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|O|8|@]|9|@]|A|$]]|$1|F|3|G|5|H|7|P|8|@]|9|@]|A|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

I was also getting this error, and the answers given above says that we should upload them first and then use their name instead of a path - but for Kaggle dataset, this is not possible.

Hence the solution I figure out is by reading the the individual image in a loop in mpimg format. Here we can use the path and not just the image name. 

I hope it will help you guys. 

<pre><code>import matplotlib.image as mpimg
for img in os.listdir("/content/train"): 
 image = mpimg.imread(path)
 plt.imshow(image)
 plt.show()
</code></pre>

blocks|key|5262601|text|根据我对scikit+image文档(http://scikit-image.org/docs/dev/index.html)的理解，imshow()使用ndarray作为参数，而不是字典：|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|5262602|http://scikit-image.org/docs/dev/api/skimage.io.html?highlight=imshow#skimage.io.imshow|5262603|也许如果你发布整个堆栈跟踪，我们可以看到TypeError来自于imshow()的某个地方。|5262604|entityMap|0|LINK|mutability|MUTABLE|url|http://scikit-image.org/docs/dev/index.html|1^0|25|7|J|17|0|0|0|2F|1|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@$9|T|A|U|B|C]]|D|@$9|V|A|W|1|X]]|E|$]]|$1|F|3|G|5|6|7|Y|8|@]|D|@$9|Z|A|10|1|11]]|E|$]]|$1|H|3|I|5|6|7|12|8|@]|D|@]|E|$]]|$1|J|3|-4|5|6|7|13|8|@]|D|@]|E|$]]]|K|$L|$5|M|N|O|E|$P|Q]]|R|$5|M|N|O|E|$P|G]]]]

From what I understand of the scikit-image docs (<a href="http://scikit-image.org/docs/dev/index.html" rel="nofollow">http://scikit-image.org/docs/dev/index.html</a>), imshow() takes a ndarray as an argument, and not a dictionary:

<a href="http://scikit-image.org/docs/dev/api/skimage.io.html?highlight=imshow#skimage.io.imshow" rel="nofollow">http://scikit-image.org/docs/dev/api/skimage.io.html?highlight=imshow#skimage.io.imshow</a>

Maybe if you post the whole stack trace, we could see that the TypeError comes somewhere deep from imshow().

blocks|key|1735605|text|试着用这个|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1735606|+++plt.imshow(numpy.real(A))
+++plt.show()|code-block|syntax|javascript|1735607|代替plt.imshow(A)|offset|length|style|CODE|1735608|entityMap^0|0|0|2|D|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@$I|R|J|S|K|L]]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

Try to use this,

<pre><code> plt.imshow(numpy.real(A))
 plt.show()
</code></pre>

instead of <code>plt.imshow(A)</code>

blocks|key|1490453|text|试一试|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1490454|import+skimage
import+random
from+random+import+randint
import+numpy+as+np
import+matplotlib.pyplot+as+plt


xrow+=+raw_input("Enter+the+number+of+rows+to+be+present+in+image.=>")
row+=+int(xrow)
ycolumn+=+raw_input("Enter+the+number+of+columns+to+be+present+in+image.=>")
column+=+int(ycolumn)

A+=+np.zeros((row,column))
for+x+in+xrange(1,+row):
++++for+y+in+xrange(1,+column):
++++++++a+=+randint(0,+65535)
++++++++A[x,+y]+=+a

plt.imshow(A)
plt.show()|code-block|syntax|javascript|1490455|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

try 

<pre><code>import skimage
import random
from random import randint
import numpy as np
import matplotlib.pyplot as plt


xrow = raw_input("Enter the number of rows to be present in image.=&gt;")
row = int(xrow)
ycolumn = raw_input("Enter the number of columns to be present in image.=&gt;")
column = int(ycolumn)

A = np.zeros((row,column))
for x in xrange(1, row):
 for y in xrange(1, column):
 a = randint(0, 65535)
 A[x, y] = a

plt.imshow(A)
plt.show()
</code></pre>

blocks|key|3844920|text|尝尝这个|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3844921|plt.imshow(im.reshape(im.shape[0],+im.shape[1]),+cmap=plt.cm.Greys)|code-block|syntax|javascript|3844922|这在某些情况下会有所帮助。|3844923|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

Try this 

<pre><code>plt.imshow(im.reshape(im.shape[0], im.shape[1]), cmap=plt.cm.Greys)
</code></pre>

It would help in some cases.

blocks|key|1490516|text|我猜您在Pycharm中可能会遇到这个问题。如果是这样，你可以试着解决你的问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1490517|转到Pycharm中的File-Setting-Tools-Python+Scientific并删除Show+plots+in+tool+window选项。|offset|length|style|CODE|1490518|entityMap^0|0|B|10|1E|P|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@$D|L|E|M|F|G]|$D|N|E|O|F|G]]|9|@]|A|$]]|$1|H|3|-4|5|6|7|P|8|@]|9|@]|A|$]]]|I|$]]

I guess you may have this problem in Pycharm. If so, you may try this to your problem.

Go to <code>File-Setting-Tools-Python Scientific</code>in Pycharm and remove the option of <code>Show plots in tool window</code>.

blocks|key|5262851|text|在我的例子中，image+path错了！因此，首先，您可能需要检查图像路径是否正确:)|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|5262852|entityMap^0|7|A|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|K|8|@]|D|@]|E|$]]]|G|$]]

In my case <code>image path</code> was wrong! So firstly, you might want to check if image path is correct :)

blocks|key|1490552|text|至于cv2。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1490553|1490554|在cv2.imread()时，您可能没有提供正确的文件类型。例如jpg而不是png。|ordered-list-item|offset|length|style|CODE|1490555|或者你提供的是图像路径而不是图像的数组。例如plt.imshow(img_path)，|1490556|1490557|首先尝试cv2.imread(img_path)，然后尝试plt.imshow(img)或cv2.imshow(img)。|1490558|entityMap^0|0|0|1|C|0|M|K|0|0|4|K|T|F|19|F|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|R|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|S|8|@$F|T|G|U|H|I]]|9|@]|A|$]]|$1|J|3|K|5|E|7|V|8|@$F|W|G|X|H|I]]|9|@]|A|$]]|$1|L|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|Z|8|@$F|10|G|11|H|I]|$F|12|G|13|H|I]|$F|14|G|15|H|I]]|9|@]|A|$]]|$1|O|3|-4|5|6|7|16|8|@]|9|@]|A|$]]]|P|$]]

As for cv2 is concerned.

<ol>
<li>You might not have provided the right file type while <code>cv2.imread()</code>.
eg jpg instead of png.</li>
<li>Or you are providing image path instead
of image's array. eg <code>plt.imshow(img_path)</code>,</li>
</ol>

try <code>cv2.imread(img_path)</code> first then <code>plt.imshow(img)</code> or <code>cv2.imshow(img)</code>.

blocks|key|1735841|text|问题是我的数组是u3类型的，我把它改成了float类型，这对我是有效的。我有一个带有图像列的数据帧，图像/图片data.Reshaping部分取决于人与人之间的关系，他们处理的图像有9126个大小，因此是96*96。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1735842|a+=+np.array(df_train.iloc[0].Image.split(),dtype='float')
a+=+a.reshape(96,96)
plt.imshow(a)|code-block|syntax|javascript|1735843|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

The problem was that my array was in type u3 i changed it to float and it worked for me .
I had a dataframe with Image column having the image/pic data.Reshaping part depends to person to person and image they deal with mine had 9126 size hence it was 96*96.
<pre><code>a = np.array(df_train.iloc[0].Image.split(),dtype='float')
a = a.reshape(96,96)
plt.imshow(a)
</code></pre>

blocks|key|1486212|text|输入应为数组|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1486213|plt.imshow(plt.imread('image_path'))|offset|length|style|CODE|1486214|entityMap^0|0|0|10|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@$D|L|E|M|F|G]]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

Input should be array
<code>plt.imshow(plt.imread('image_path'))</code>

blocks|key|5262981|text|这是因为您可能会将错误的类型传递给imshow()，例如，我使用albumentations.Compose更改图像，结果是一个dict而不是numpy.ndarray。所以只要改变就好|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5262982|plt.imshow(cv2.cvtColor(aug(image=img),+cv2.COLOR_BGR2RGB))|offset|length|style|CODE|5262983|至|5262984|plt.imshow(cv2.cvtColor(aug(image=img)['image'],+cv2.COLOR_BGR2RGB))|5262985|然后它就起作用了。|5262986|entityMap^0|0|0|1N|0|0|0|1W|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@$D|R|E|S|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|T|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|U|8|@$D|V|E|W|F|G]]|9|@]|A|$]]|$1|L|3|M|5|6|7|X|8|@]|9|@]|A|$]]|$1|N|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]]|O|$]]

This happened because you may transfer a wrong type to imshow(), for example I use albumentations.Compose to change image, and the result is a dict rather than numpy.ndarray. so just change
<code>plt.imshow(cv2.cvtColor(aug(image=img), cv2.COLOR_BGR2RGB))</code>
to
<code>plt.imshow(cv2.cvtColor(aug(image=img)['image'], cv2.COLOR_BGR2RGB))</code>
then it works.

I am trying to create a 16-bit image like so:
<pre><code>import skimage 
import random
from random import randint 
xrow=raw_input(&quot;Enter the number of rows to be present in image.=&gt;&quot;)
row=int(xrow)
ycolumn=raw_input(&quot;Enter the number of columns to be present in image.=&gt;&quot;)
column=int(ycolumn)

A={}
for x in xrange(1,row):
 for y in xrange(1,column):
 a=randint(0,65535)
 A[x,y]=a 

imshow(A)
</code></pre>
But I get the error <code>TypeError: Image data can not convert to float</code>.

TypeError: Image data can not convert to float

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技术创作特训营有奖征文

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我正在尝试创建一个16位的图像，如下所示：import skimage import randomfrom random import randint                        xrow=raw_input("Enter the number of rows to be present in image.=>")row=int(xrow)ycolumn=raw_input("E

问TypeError:图像数据无法转换为浮点型
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