Wed 28 Aug 21:38:52 CEST 2024

This commit is contained in:
sbosse 2024-08-28 21:40:04 +02:00
parent f995f90ee2
commit 791e9c303d

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import json
import scipy.io as spio
import pandas as pd
def _loadmat(filename):
'''
this function should be called instead of direct spio.loadmat
as it cures the problem of not properly recovering python dictionaries
from mat files. It calls the function check keys to cure all entries
which are still mat-objects
'''
data = spio.loadmat(filename, struct_as_record=False, squeeze_me=True)
return _check_keys(data)
def _check_keys(dict):
'''
checks if entries in dictionary are mat-objects. If yes
todict is called to change them to nested dictionaries
'''
for key in dict:
if isinstance(dict[key], spio.matlab.mio5_params.mat_struct):
dict[key] = _todict(dict[key])
return dict
def _todict(matobj):
'''
A recursive function which constructs from matobjects nested dictionaries
'''
dict = {}
for strg in matobj._fieldnames:
elem = matobj.__dict__[strg]
if isinstance(elem, spio.matlab.mio5_params.mat_struct):
dict[strg] = _todict(elem)
else:
dict[strg] = elem
return dict
def mat2json(matFileName=None,jsonFileName=None):
"""
Converts .mat file to .json and writes new file
Parameters
----------
filename: Str
path/filename of .mat file
filepath: Str
path to write converted file
Returns
-------
None
Examples
--------
>>> mat2json(blah blah)
"""
matlabFile = _loadmat(matFileName)
#pop all those dumb fields that don't let you jsonize file
matlabFile.pop('__header__')
matlabFile.pop('__version__')
matlabFile.pop('__globals__')
#jsonize the file - orientation is 'index'
jsonData = pd.Series(matlabFile).to_json()
with open(jsonFileName,'w') as f:
f.write(jsonData)