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<p><strong>更新:这是一个很长的问题,可以归结为,有人能向我解释一下numpy数组类吗?我在下面回答了自己的问题。</strong></p>
<p>我正在进行一个项目,将数据从matlab导入到mysql数据库,其内容将通过django网站提供。我想使用Scipy.io.loadmat将来自matlab的信息转换成一个可以在python中使用的表单,这样我就可以使用DjangoAPI将数据输入到数据库中。</p>
<p>我的问题是无法处理scipy.io.loadmat导入的数据。它以多个嵌套数组的形式加载,一些变量名似乎丢失了。</p>
<p>下面是我为一个试验创建的测试结构的matlab代码:</p>
<pre><code>sensors.time = [0:1:10].';
sensors.sensor1 = {};
sensors.sensor1.source_type = 'flight';
sensors.sensor1.source_name = 'flight-2';
sensors.sensor1.channels = {};
sensors.sensor1.channels.channel1.name = '1';
sensors.sensor1.channels.channel1.local_ori = 'lateral';
sensors.sensor1.channels.channel1.vehicle_ori = 'axial';
sensors.sensor1.channels.channel1.signals = {};
sensors.sensor1.channels.channel1.signals.signal1.filtered = 'N';
sensors.sensor1.channels.channel1.signals.signal1.filtered_description = 'none';
sensors.sensor1.channels.channel1.signals.signal1.data = sin(sensors.time)+0.1*rand(11,1);
>> sensors
time: [11x1 double]
sensor1: [1x1 struct]
>> sensors.sensor1
source_type: 'flight'
source_name: 'flight-2'
channels: [1x1 struct]
>> sensors.sensor1.channels
channel1: [1x1 struct]
>> sensors.sensor1.channels.channel1
name: '1'
local_ori: 'lateral'
vehicle_ori: 'axial'
signals: [1x1 struct]
>> sensors.sensor1.channels.channel1.signals
signal1: [1x1 struct]
>> sensors.sensor1.channels.channel1.signals.signal1
filtered: 'N'
filtered_description: 'none'
data: [11x1 double]
</code></pre>
<p>我可以很容易地将这个结构可视化为一个python字典,所以看起来这不应该是一个如此复杂的练习。</p>
<p>下面是我用来读入文件的python代码(最终我想读入多个文件):</p>
<pre><code>from scipy
import os, glob
path = 'C:\Users\c\Desktop\import'
for f in glob.glob( os.path.join(path, '*.mat')):
matfile = scipy.io.loadmat(f, struct_as_record=True)
</code></pre>
<p>这是loadmat生成的字典:</p>
<pre><code>>>> matfile
{'sensors': array([[ ([[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10]],[[(array([u'flight'],
dtype='<U6'), array([u'flight-2'],
dtype='<U8'), array([[ ([[(array([u'1'],
dtype='<U1'), array([u'lateral'],
dtype='<U7'), array([u'axial'],
dtype='<U5'), array([[ ([[(array([u'N'],
dtype='<U1'), array([u'none'],
dtype='<U4'), array([[ 0.06273465],[ 0.84363597],[ 1.00035443],[ 0.22117587],[-0.68221775],[-0.87761299],[-0.24108487],[ 0.71871452],[ 1.04690773],[ 0.46512366],[-0.51651414]]))]],)]],
dtype=[('signal1', '|O4')]))]],)]],
dtype=[('channel1', '|O4')]))]])]],
dtype=[('time', '|O4'), ('sensor1', '|O4')]), '__version__': '1.0', '__header__': 'MATLAB 5.0 MAT-file, Platform: PCWIN64, Created on: Tue Jun 07 18:38:32 2011', '__globals__': []}
</code></pre>
<p>数据都在那里,但我不知道如何访问这些类对象。我希望能够循环内容,以便我可以处理,多个传感器,然后为每个传感器多个通道,等等</p>
<p>任何帮助我简化此数据结构的解释或建议的更改,使之更容易,将不胜感激。</p>
<hr/>
<p>更新,根据尼克的建议这里是repr(matfile)和dir(matfile)</p>
<pre><code>>>> repr(matfile)
"{'sensors': array([[ ([[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10]], [[(array([u'flight'], \n dtype='<U6'), array([u'flight-2'], \n dtype='<U8'), array([[ ([[(array([u'1'], \n dtype='<U1'), array([u'lateral'], \n dtype='<U7'), array([u'axial'], \n dtype='<U5'), array([[ ([[(array([u'N'], \n dtype='<U1'), array([u'none'], \n dtype='<U4'), array([[ 0.0248629 ],\n [ 0.88663486],\n [ 0.93206871],\n [ 0.22156497],\n [-0.65819207],\n [-0.95592508],\n [-0.22584908],\n [ 0.66569432],\n [ 1.06956739],\n [ 0.51103298],\n [-0.53732649]]))]], [[(array([u'Y'], \n dtype='<U1'), array([u'1. 5 Hz High Pass, 2. remove offset'], \n dtype='<U35'), array([[ 0. ],\n [ 0.84147098],\n [ 0.90929743],\n [ 0.14112001],\n [-0.7568025 ],\n [-0.95892427],\n [-0.2794155 ],\n [ 0.6569866 ],\n [ 0.98935825],\n [ 0.41211849],\n [-0.54402111]]))]])]], \n dtype=[('signal1', '|O4'), ('signal2', '|O4')]))]],)]], \n dtype=[('channel1', '|O4')]))]])]], \n dtype=[('time', '|O4'), ('sensor1', '|O4')]), '__version__': '1.0', '__header__': 'MATLAB 5.0 MAT-file, Platform: PCWIN64, Created on: Wed Jun 08 10:58:19 2011', '__globals__': []}"
>>> dir(matfile)
['__class__', '__cmp__', '__contains__', '__delattr__', '__delitem__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', 'clear', 'copy', 'fromkeys', 'get', 'has_key', 'items', 'iteritems', 'iterkeys', 'itervalues', 'keys', 'pop', 'popitem', 'setdefault', 'update', 'values', 'viewitems', 'viewkeys', 'viewvalues']
>>> dir(matfile['sensors'])
['T', '__abs__', '__add__', '__and__', '__array__', '__array_finalize__', '__array_interface__', '__array_prepare__', '__array_priority__', '__array_struct__', '__array_wrap__', '__class__', '__contains__', '__copy__', '__deepcopy__', '__delattr__', '__delitem__', '__delslice__', '__div__', '__divmod__', '__doc__', '__eq__', '__float__', '__floordiv__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__getslice__', '__gt__', '__hash__', '__hex__', '__iadd__', '__iand__', '__idiv__', '__ifloordiv__', '__ilshift__', '__imod__', '__imul__', '__index__', '__init__', '__int__', '__invert__', '__ior__', '__ipow__', '__irshift__', '__isub__', '__iter__', '__itruediv__', '__ixor__', '__le__', '__len__', '__long__', '__lshift__', '__lt__', '__mod__', '__mul__', '__ne__', '__neg__', '__new__', '__nonzero__', '__oct__', '__or__', '__pos__', '__pow__', '__radd__', '__rand__', '__rdiv__', '__rdivmod__', '__reduce__', '__reduce_ex__', '__repr__', '__rfloordiv__', '__rlshift__', '__rmod__', '__rmul__', '__ror__', '__rpow__', '__rrshift__', '__rshift__', '__rsub__', '__rtruediv__', '__rxor__', '__setattr__', '__setitem__', '__setslice__', '__setstate__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__truediv__', '__xor__', 'all', 'any', 'argmax', 'argmin', 'argsort', 'astype', 'base', 'byteswap', 'choose', 'clip', 'compress', 'conj', 'conjugate', 'copy', 'ctypes', 'cumprod', 'cumsum', 'data', 'diagonal', 'dot', 'dtype', 'dump', 'dumps', 'fill', 'flags', 'flat', 'flatten', 'getfield', 'imag', 'item', 'itemset', 'itemsize', 'max', 'mean', 'min', 'nbytes', 'ndim', 'newbyteorder', 'nonzero', 'prod', 'ptp', 'put', 'ravel', 'real', 'repeat', 'reshape', 'resize', 'round', 'searchsorted', 'setfield', 'setflags', 'shape', 'size', 'sort', 'squeeze', 'std', 'strides', 'sum', 'swapaxes', 'take', 'tofile', 'tolist', 'tostring', 'trace', 'transpose', 'var', 'view']
</code></pre>
<p>显然我需要学习一些关于对象和类的知识。我怎样才能从数组中提取位并将它们放入变量中。例如:</p>
<pre><code>time = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
source_type = 'flight'
etc.
</code></pre>