import tables from Matlab struct to matrices in python

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Mayssa Chouat 2023-7-5

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编辑： ProblemSolver 2023-7-5

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I want to import tables from a struct in matlab and to store them in python as matrices.

this is the python code I tried

import scipy.io
import numpy as np
# Load the .mat file
data = scipy.io.loadmat('file.mat')
# Access the struct within the loaded data
my_struct = data['structkey']
# Convert each table to a matrix
table1_matrix = my_struct['table1'][0, 0]['arr']
print(table1_matrix)

this is whatwas printed:

[array([[3707764736],

[ 2],

[ 1],

[ 1]], dtype=uint32)]

I can't understand what is printed and don't know what to do to get the table stored in the struct as matrice in python

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ProblemSolver 2023-7-5

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You need to careful about the datatype that you are working with.

I assume you are working with uint32, which is an unsigned 32-bit integer. Therefore, you have convert the data structure of the table:

table1_matrix = np.array(my_struct['table1'][0, 0]['arr'], dtype=np.float64)

I hope this helps!

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Mayssa Chouat 2023-7-5

This is my .mat file and it only stores a 1*1 struct with 8 fields

ProblemSolver 2023-7-5

编辑：ProblemSolver 2023-7-5

在 MATLAB Online 中打开

Try using this then:

import scipy.io
data = scipy.io.loadmat('file.mat');
temperature1 = data['your_field_temperature'] % replace 'm' with the field name that you have such as temperature_r..., the complete name
. % create each variable name
. % another variable and so on
print(temperature1)