我正在尝试从excel文件加载数组。当数组大小为10000乘140时，它可以成功加载到pyomo中。但是当我尝试加载13000 x 140阵列时出现错误。实际上，任何大于该数组的数组都会导致相同的错误。错误消息如下：
TypeError Traceback (most recent call last)
<ipython-input-1-aa9be177f58b> in <module>()
63
64 data = DataPortal(model=model)
---> 65 data.load(filename='Input_L.xlsx', range='Table13000', format='array', param='xo')
66 data.load(filename='lowx.xlsx' , range='Dtable', format='array', param='lowx')
67 data.load(filename='upx.xlsx' , range='Etable', format='array', param='upx')
C:\ProgramData\Anaconda3\lib\site-packages\pyomo\core\base\DataPortal.py in load(self, **kwds)
155 logger.debug("Processing data ...")
156 self._data_manager.read()
--> 157 status = self._data_manager.process(self._model, self._data, self._default)
158 self._data_manager.clear()
159 #
C:\ProgramData\Anaconda3\lib\site-packages\pyomo\core\data\TableData.py in process(self, model, data, default)
90 set=self.options.set,
91 param=self.options.param,
---> 92 ncolumns = self.options.ncolumns)
93
94 def clear(self):
C:\ProgramData\Anaconda3\lib\site-packages\pyomo\core\data\process_data.py in _process_data(cmd, _model, _data, _default, Filename_, Lineno_, index, set, param, ncolumns)
928
929 elif cmd[0].startswith('param'):
--> 930 cmd = _preprocess_data(cmd)
931 _process_param(cmd, _model, _data, _default, index=index, param=param, ncolumns=ncolumns)
932
C:\ProgramData\Anaconda3\lib\site-packages\pyomo\core\data\process_data.py in _preprocess_data(cmd)
118 raise ValueError("Unexpected ']' that does not follow a '['")
119 else:
--> 120 newcmd.append(_process_token(token))
121
122 elif state == 1:
C:\ProgramData\Anaconda3\lib\site-packages\pyomo\core\data\process_data.py in _process_token(token)
55 return False
56
---> 57 if token[0] == '[' and token[-1] == ']':
58 vals = []
59 token = token[1:-1]
TypeError: 'NoneType' object is not subscriptable
我想知道数组是否太大而无法加载。 pyomo软件在Anaconda的8GB RAM PC中运行。