What are the Python types accepted by MATLAB?

2019 4 12
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更新时间：2019 4 12
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I tried the following, using both MATLAB R2017b and R2017a from Python 2.7 IDLE:
>>> import numpy as np
>>> image = np.array([[1.0, 0.0, 0.0], [0.0, 1.0, 2.0]], dtype="uint8")
>>> image
array([[1, 0, 0],
[0, 1, 2]], dtype=uint8)
>>> g = eng.mean(image)
However, I received the following error:
Traceback (most recent call last):
File "<pyshell#19>", line 1, in <module>
g = eng.mean(image)
File "C:\Python27\lib\site-packages\matlab\engine\matlabengine.py", line 73, in __call__
out=_stdout, err=_stderr)
TypeError: unsupported Python data type: numpy.ndarray
Does it mean that non built-in Python types (such as NumPy) are not supported by MATLAB?

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The MATLAB interoperability features only support built-in Python types. For instance, NumPy arrays are not part of core Python and therefore they are not recognized in MATLAB.

Nevertheless, for many applications of non-built-in Python types, the MATLAB equivalent can be used. For instance, if you want to use a NumPy array, you can directly create a MATLAB Array in Python. Please find below the MATLAB documentation for it, which contains some examples about how to create multidimensional arrays as well:

https://www.mathworks.com/help/matlab/matlab_external/matlab-arrays-as-python-variables.html

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