python读取.mat文件的数据

Posted 2020-10-21 chen狗蛋儿

首先导入scipy的包 from scipy.io import loadmat 

然后读取 m = loadmat("F:/__identity/activity/论文/data/D001.mat") 

注意这里m是一个dict数据结构

>>> m
{‘__header__‘: b‘MATLAB 5.0 MAT-file, Platform: PCWIN, Created on: Mon Aug 15 22:16:43 2011‘, ‘__globals__‘: [], ‘labels‘: array([[1],
       [3],
       [4],
       ...,
       [4],
       [3],
       [4]], dtype=uint8), ‘data‘: array([[ 1.    ,  0.35  ,  0.265 , ...,  0.0995,  0.0485,  0.07  ],
       [ 2.    ,  0.53  ,  0.42  , ...,  0.2565,  0.1415,  0.21  ],
       [ 1.    ,  0.44  ,  0.365 , ...,  0.2155,  0.114 ,  0.155 ],
       ...,
       [ 1.    ,  0.59  ,  0.44  , ...,  0.439 ,  0.2145,  0.2605],
       [ 1.    ,  0.6   ,  0.475 , ...,  0.5255,  0.2875,  0.308 ],
       [ 2.    ,  0.625 ,  0.485 , ...,  0.531 ,  0.261 ,  0.296 ]]), ‘__version__‘: ‘1.0‘}

>>> m.keys()
dict_keys([‘__header__‘, ‘__globals__‘, ‘labels‘, ‘data‘, ‘__version__‘])

>>> m["labels"]
array([[1],
       [3],
       [4],
       ...,
       [4],
       [3],
       [4]], dtype=uint8)

>>> m["data"]
array([[ 1.    ,  0.35  ,  0.265 , ...,  0.0995,  0.0485,  0.07  ],
       [ 2.    ,  0.53  ,  0.42  , ...,  0.2565,  0.1415,  0.21  ],
       [ 1.    ,  0.44  ,  0.365 , ...,  0.2155,  0.114 ,  0.155 ],
       ...,
       [ 1.    ,  0.59  ,  0.44  , ...,  0.439 ,  0.2145,  0.2605],
       [ 1.    ,  0.6   ,  0.475 , ...,  0.5255,  0.2875,  0.308 ],
       [ 2.    ,  0.625 ,  0.485 , ...,  0.531 ,  0.261 ,  0.296 ]])

有点不太懂这个“uint8”

>>> m["labels"][0]
array([1], dtype=uint8)
>>> m["labels"][0][0]
1
>>> m["labels"][0][0] + 1
2
>>> m["labels"][0].as_type("int")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: ‘numpy.ndarray‘ object has no attribute ‘as_type‘   # 注意时astype不是as_type
>>> m["labels"][0].dtype
dtype(‘uint8‘)
>>> m["labels"][0].astype("int")
array([1])

这个数据类型真是醉了：

>>> type(m["labels"][0][0] + 1)
<class ‘numpy.int32‘>

 

如果要把它变成dataframe，导入pandas后

>>> df = pd.DataFrame(m["data"])
>>> df.head()
     0      1      2      3       4       5       6      7
0  1.0  0.350  0.265  0.090  0.2255  0.0995  0.0485  0.070
1  2.0  0.530  0.420  0.135  0.6770  0.2565  0.1415  0.210
2  1.0  0.440  0.365  0.125  0.5160  0.2155  0.1140  0.155
3  3.0  0.330  0.255  0.080  0.2050  0.0895  0.0395  0.055
4  3.0  0.425  0.300  0.095  0.3515  0.1410  0.0775  0.120