blocks|key|4272882|text|我对读Matlab文件不是很熟悉，但是你已经得到了一个数组。如果你想把每个字符串放在一个变量中，你可以做的是：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4272883|string1+=+featurenames[0][0]
string2+=+featurenames[1][0]|code-block|syntax|javascript|4272884|如果这不是你正在寻找的答案，你能更具体地回答你的问题吗？谢谢!|4272885|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|$]]

I am not very familiar reading Matlab files, but you already got an array. If you want to put each string in a variable what you can do is:

<pre><code>string1 = featurenames[0][0]
string2 = featurenames[1][0]
</code></pre>

Please, if this is not the answer you are looking, could you be more specific on your question? thanks!

blocks|key|4272392|text|您看到的是一个scipy/numpy数组列表。您遇到的问题是，虽然数据类型对Python来说并不是严格意义上的问题，但它对scipy和numpy绝对重要，我假设您希望将它们转换为Python字符串。下面的代码片段应该可以做到这一点(假设您的输出名为matFileOut)：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4272393|##+for+the+zeroth+array+in+your+list,+convert+the+scipy/numpy+array+to+a+Python+list,+then+take+the+zeroth+(only)+element
matFileOut[0].tolist()[0]|code-block|syntax|javascript|4272394|entityMap^0|3G|A|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

What you appear to have is a list of scipy/numpy arrays. The problem you're experiencing is that while datatype doesn't strictly matter to Python, it definitely does to scipy and numpy, and I assume you're looking to get these to Python strings. The snippet below should do it (assuming your output is named <code>matFileOut</code>):

<pre><code>## for the zeroth array in your list, convert the scipy/numpy array to a Python list, then take the zeroth (only) element
matFileOut[0].tolist()[0]
</code></pre>

blocks|key|4272995|text|看起来featurenames是MATLAB中的一个cell。所有的矩阵和单元格都是2d的。单元格可以包含元素、大小和类型的混合。这更像是一个python列表，而不是一个数值数组。loadmat将其作为包含数组的2d对象dtype数组返回。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4272996|您选择了featurenames[0:2,+0]，它将这些单元格元素中的2个作为一维数组返回。|4272997|我可以用以下命令重新创建数组：|4272998|In+[9]:+arr+=+np.empty(2,+dtype=object)
In+[11]:+arr[:]+=+[np.array(['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'],
++++...:++dtype='<U47'),
++++...:++np.array(['Intensity_SubsBlue_Nuclei_2_MeanIntensity'],+dtype='<U41')]
++++...:+
++++...:++
In+[12]:+arr
Out[12]:+
array([array(['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'],+dtype='<U47'),
+++++++array(['Intensity_SubsBlue_Nuclei_2_MeanIntensity'],+dtype='<U41')],
++++++dtype=object)
In+[13]:+print(arr)
[array(['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'],+dtype='<U47')
+array(['Intensity_SubsBlue_Nuclei_2_MeanIntensity'],+dtype='<U41')]|code-block|syntax|javascript|4272999|因此，您必须访问元素，然后访问其中每个元素中的元素：|4273000|In+[14]:+arr[0][0]
Out[14]:+'Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'
In+[15]:+[a.item()+for+a+in+arr]
Out[15]:+
['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity',
+'Intensity_SubsBlue_Nuclei_2_MeanIntensity']|4273001|对于单个元素数组，[0]或item()同样有效。|4273002|或者可以使用concatenate将外部元素连接到一个数组中。请注意dtype中的更改|4273003|In+[16]:+np.concatenate(arr)
Out[16]:+
array(['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity',
+++++++'Intensity_SubsBlue_Nuclei_2_MeanIntensity'],+dtype='<U47')
In+[17]:+_[0]
Out[17]:+'Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'|4273004|entityMap^0|3|C|Q|4|1Z|6|2I|7|0|4|K|0|0|0|0|0|9|3|D|6|0|6|B|Y|5|0|0^^$0|@$1|2|3|4|5|6|7|10|8|@$9|11|A|12|B|C]|$9|13|A|14|B|C]|$9|15|A|16|B|C]|$9|17|A|18|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|19|8|@$9|1A|A|1B|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|1C|8|@]|D|@]|E|$]]|$1|J|3|K|5|L|7|1D|8|@]|D|@]|E|$M|N]]|$1|O|3|P|5|6|7|1E|8|@]|D|@]|E|$]]|$1|Q|3|R|5|L|7|1F|8|@]|D|@]|E|$M|N]]|$1|S|3|T|5|6|7|1G|8|@$9|1H|A|1I|B|C]|$9|1J|A|1K|B|C]]|D|@]|E|$]]|$1|U|3|V|5|6|7|1L|8|@$9|1M|A|1N|B|C]|$9|1O|A|1P|B|C]]|D|@]|E|$]]|$1|W|3|X|5|L|7|1Q|8|@]|D|@]|E|$M|N]]|$1|Y|3|-4|5|6|7|1R|8|@]|D|@]|E|$]]]|Z|$]]

It looks like <code>featurenames</code> is a <code>cell</code> in MATLAB. All matrices and cells are 2d in that language. Cells can contain a mix of elements, size and type. That's more like a <code>python</code> list than a numpy numeric array. <code>loadmat</code> returns that as a 2d object dtype array - containing arrays.

You selected <code>featurenames[0:2, 0]</code>, which returns 2 of those cell elements as a 1d array.

I can recreate your array with:

<pre><code>In [9]: arr = np.empty(2, dtype=object)
In [11]: arr[:] = [np.array(['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'],
 ...: dtype='&lt;U47'),
 ...: np.array(['Intensity_SubsBlue_Nuclei_2_MeanIntensity'], dtype='&lt;U41')]
 ...: 
 ...: 
In [12]: arr
Out[12]: 
array([array(['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'], dtype='&lt;U47'),
 array(['Intensity_SubsBlue_Nuclei_2_MeanIntensity'], dtype='&lt;U41')],
 dtype=object)
In [13]: print(arr)
[array(['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'], dtype='&lt;U47')
 array(['Intensity_SubsBlue_Nuclei_2_MeanIntensity'], dtype='&lt;U41')]
</code></pre>

So you have to access the elements, and then the element within each of those:

<pre><code>In [14]: arr[0][0]
Out[14]: 'Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'
In [15]: [a.item() for a in arr]
Out[15]: 
['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity',
 'Intensity_SubsBlue_Nuclei_2_MeanIntensity']
</code></pre>

For a single element array, <code>[0]</code> or <code>item()</code> work equally well.

Or the outer elements can be joined into one array with <code>concatenate</code>. Note the change in <code>dtype</code>:

<pre><code>In [16]: np.concatenate(arr)
Out[16]: 
array(['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity',
 'Intensity_SubsBlue_Nuclei_2_MeanIntensity'], dtype='&lt;U47')
In [17]: _[0]
Out[17]: 'Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'
</code></pre>

I have a <code>.mat</code> file with variables containing numbers and strings. When I load it and get the variable containing strings I don't understand how to actually get the string out of it:

<pre><code>data = scipy.io.loadmat(pathName)
featurenames=data['featurenames']
print(featurenames[0:2,0])
</code></pre>

As an output I get:

<pre><code>[array(['Intensity_SubsBlue_Nuclei_1_IntegratedIntensity'], dtype='&lt;U47')
 array(['Intensity_SubsBlue_Nuclei_2_MeanIntensity'], dtype='&lt;U41')]
</code></pre>

How do I get to this <code>array</code>? I want to have just strings.

Thank you!

How to get string after loading .mat file to Python

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我有一个.mat文件，其中的变量包含数字和字符串。当我加载它并获取包含字符串的变量时，我不知道如何实际从中获取字符串：data = scipy.io.loadmat(pathName)featurenames=data['featurenames']print(featurenames[0:2,0])作为输出，我得到：...

问如何将.mat文件加载到Python后获取字符串
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问如何将.mat文件加载到Python后获取字符串
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