使用python将mat文件转化为json文件并储存

本文主要是介绍使用python将mat文件转化为json文件并储存，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！

import os
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(dic):
    """
    checks if entries in dictionary are mat-objects. If yes
    todict is called to change them to nested dictionaries
    """
    for key in dic:
        if isinstance(dic[key], spio.matlab.mio5_params.mat_struct):
            dic[key] = _todict(dic[key])
    return dic


def _todict(matobj):
    """
    A recursive function which constructs from matobjects nested dictionaries
    """
    dic = dict()
    for strg in matobj._fieldnames:
        elem = matobj.__dict__[strg]
        if isinstance(elem, spio.matlab.mio5_params.mat_struct):
            dic[strg] = _todict(elem)
        else:
            dic[strg] = elem
    return dic


def mat2json(mat_path, filepath=None):
    """
    Parameters:
        mat_path: mat文件的地址
        filepath: 如果不填，则默认储存为mat同名json文件；否则以filepath为名储存
    """
    matlabFile = loadmat(mat_path)
    # 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'
    matlabFile = pd.Series(matlabFile).to_json()

    if filepath:
        with open(filepath, 'w') as f:
            f.write(matlabFile)
    else:
        filepath = os.path.splitext(os.path.split(mat_path)[1])[0] + '.json'
        with open(filepath, 'w') as f:
            f.write(matlabFile)

修改自 https://www.cnblogs.com/geoffreyone/p/11077327.html

这篇关于使用python将mat文件转化为json文件并储存的文章就介绍到这儿，希望我们推荐的文章对大家有所帮助，也希望大家多多支持为之网！