python读取.mat文件的数据

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] + 12

>>> m[\"labels\"][0].as_type(\"int\")Traceback (most recent call last): File \"\", line 1, in

AttributeError: 'numpy.ndarray' object has no attribute 'as_type' # 注意时astype不是as_type>>> m[\"labels\"][0].dtypedtype('uint8')

>>> m[\"labels\"][0].astype(\"int\")array([1])

这个数据类型真是醉了：>>> type(m[\"labels\"][0][0] + 1)

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 0.0701 2.0 0.530 0.420 0.135 0.6770 0.2565 0.1415 0.2102 1.0 0.440 0.365 0.125 0.5160 0.2155 0.1140 0.1553 3.0 0.330 0.255 0.080 0.2050 0.0895 0.0395 0.0554 3.0 0.425 0.300 0.095 0.3515 0.1410 0.0775 0.120