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This article mainly introduces "how to read matlab processed data .mat file in python". In daily operation, I believe many people have doubts about how to read matlab processed data .mat file in python. Xiaobian consulted all kinds of information and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the question of "how to read matlab processed data .mat file in python". Next, please follow the editor to study!

1. First of all, let's open matlab here and enter two variables in the command line window.

Matlab_x=1:0.01:10;matlab_y=sin (matlab_x)

two。 After the calculation is processed, the workspace to the right of matlab will have two variable values, matlab_y and matlab_x

3. Then, we right-click the mouse in the blank space of the workspace and select Save. We can also use the shortcut key ctrl+s to save when the workspace is working highlighted, and the save file name will pop up. Here we save it as matlab.mat.

4. The next step is to use Python to read the data Data of the matlab workspace saved in the previous step. We need to use the scipy library in Python. Here we go in import first.

Import scipy.io as scio

5. Read .mat file

Data=scio.loadmat ('. / matlab.mat')

6. View the current data data type

Type (data)

The output is the dict dictionary type

7. Read the corresponding data we want.

Here we assume that we need to read the data matlab_y into python (here we use the numpy library to convert the data to array types)

Import numpy as np # imports matrix processing library python_y=np.array (data ['matlab_y']) # assigns matlab data to python variables here, and the study on "how to read the .mat file after matlab processing in python" is over. I hope I can solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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