A cheap way to save out data for matlab within python is as follows.
Save as mat file in python.
Data has to be structured in the same way as for loadmat i e.
Save example mat a b v7 3 due to the varied versions of mat file.
Suppose you have a numpy array of shape 10777 9 called pkt np array import scipy io as sio create a dictionary adict adict pkt np array pkt np array adict whatever whatever sio savemat home pier testmat mat adict open this file up in matlab.
In matlab you can have cell arrays or structs which contain other arrays but you cannot have just a tuple of arrays assigned to a.
Parameters file name str or file like object name of the mat file mat true.
You seem to want two different arrays linked to same variable name in matlab.
Import scipy io and after that the loadmat is the way to go.
The matlab variables matrices arrays can be stored in mat files in order to read this data in python you would need a scipy io package.
This saves the array objects in the given dictionary to a matlab style mat file.
Loading mat files scipy is a really popular python library used for scientific computing and quite naturally they have a method which lets you read in mat files.
It should be composed of simple data types like dict list str int and float.
You can get it done in one.
Pythonからmat保存する pythonからmatファイルを保存するにはscipy ioを使います 使い方はこんな感じ scipy io savemat filename 8220 matval1 8221 pyval1 matvalがmatに保存される変数名 pyvalがpythonで使っていた変数.
That is not possible.
Save a dictionary of names and arrays into a matlab style mat file.
Python data can be saved to a mat file with the function savemat.