YouTipScipy Matlab Arrays
# SciPy Matlab Arrays
NumPy provides methods for saving data in a Python-readable format.
SciPy provides methods for interacting with Matlab.
SciPy's `scipy.io` module provides many functions for handling Matlab arrays.
### Exporting Data in Matlab Format
The **`savemat()`** method can export data in Matlab format.
The parameters for this method are:
* **filename** - The filename to save the data.
* **mdict** - A dictionary containing the data.
* **do_compression** - A boolean value specifying whether the resulting data should be compressed. The default is False.
Export an array as a variable named "vec" to a mat file:
## Example
```python
from scipy import io
import numpy as np
arr = np.arange(10)
io.savemat('arr.mat',{"vec": arr})
**Note:** The code above will save a file named "arr.mat" on your computer.
### Importing Matlab Format Data
The `loadmat()` method can import Matlab format data.
The parameters for this method are:
* **filename** - The filename where the data is saved.
It returns a structured array where the keys are variable names and the corresponding values are the variable values.
The following example imports an array from a mat file:
## Example
```python
from scipy import io
import numpy as np
arr = np.array([0,1,2,3,4,5,6,7,8,9,])
# Export
io.savemat('arr.mat',{"vec": arr})
# Import
mydata = io.loadmat('arr.mat')
print(mydata)
The returned result is as follows:
```python
{ '__header__': b'MATLAB 5.0 MAT-file Platform: nt, Created on: Tue Sep 22 13:12:32 2020', '__version__': '1.0', '__globals__': [], 'vec': array([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]) }
Using the variable name "vec" to display only the array from the matlab data:
## Example
```python
from scipy import io
import numpy as np
arr = np.array([0,1,2,3,4,5,6,7,8,9,])
# Export
io.savemat('arr.mat',{"vec": arr})
# Import
mydata = io.loadmat('arr.mat')
print(mydata['vec'])
The returned result is as follows:
```python
[]
From the result, we can see that the array was originally one-dimensional, but it gained an extra dimension during extraction, becoming a two-dimensional array.
To solve this problem, you can pass an additional parameter `squeeze_me=True`:
## Example
```python
from scipy import io
import numpy as np
arr = np.array([0,1,2,3,4,5,6,7,8,9,])
# Export
io.savemat('arr.mat',{"vec": arr})
# Import
mydata = io.loadmat('arr.mat', squeeze_me=True)
print(mydata['vec'])
The returned result is as follows:
```python
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