我的数据框ag_data包含一个名为state的列，其中包含州缩写，但并非状态中的所有数据都是正确且已确认的US州缩写。 SA是州缩写的列表。我想检查我的状态列中的状态缩写是否也在SA列表中并过滤我的数据集，但是我一直收到错误。还有另一种方法吗？
ag_data[ag_data.state.isin(SA)]
---------------------------------------------------------------------------
MemoryError Traceback (most recent call last)
<ipython-input-26-8e3eefc5127e> in <module>()
1 #ag_data["state"] = ag_data[ag_data[ag_data.columns[0]].isin(SA)]
----> 2 ag_data[ag_data.state.isin(SA)]
~\AppData\Local\Continuum\anaconda3\envs\acnPJ\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
1956 if isinstance(key, (Series, np.ndarray, Index, list)):
1957 # either boolean or fancy integer index
-> 1958 return self._getitem_array(key)
1959 elif isinstance(key, DataFrame):
1960 return self._getitem_frame(key)
~\AppData\Local\Continuum\anaconda3\envs\acnPJ\lib\site-packages\pandas\core\frame.py in _getitem_array(self, key)
1998 key = check_bool_indexer(self.index, key)
1999 indexer = key.nonzero()[0]
-> 2000 return self.take(indexer, axis=0, convert=False)
2001 else:
2002 indexer = self.loc._convert_to_indexer(key, axis=1)
~\AppData\Local\Continuum\anaconda3\envs\acnPJ\lib\site-packages\pandas\core\generic.py in take(self, indices, axis, convert, is_copy, **kwargs)
1926 new_data = self._data.take(indices,
1927 axis=self._get_block_manager_axis(axis),
-> 1928 convert=True, verify=True)
1929 result = self._constructor(new_data).__finalize__(self)
1930
~\AppData\Local\Continuum\anaconda3\envs\acnPJ\lib\site-packages\pandas\core\internals.py in take(self, indexer, axis, verify, convert)
4009 new_labels = self.axes[axis].take(indexer)
4010 return self.reindex_indexer(new_axis=new_labels, indexer=indexer,
-> 4011 axis=axis, allow_dups=True)
4012
4013 def merge(self, other, lsuffix='', rsuffix=''):
~\AppData\Local\Continuum\anaconda3\envs\acnPJ\lib\site-packages\pandas\core\internals.py in reindex_indexer(self, new_axis, indexer, axis, fill_value, allow_dups, copy)
3895 new_blocks = [blk.take_nd(indexer, axis=axis, fill_tuple=(
3896 fill_value if fill_value is not None else blk.fill_value,))
-> 3897 for blk in self.blocks]
3898
3899 new_axes = list(self.axes)
~\AppData\Local\Continuum\anaconda3\envs\acnPJ\lib\site-packages\pandas\core\internals.py in <listcomp>(.0)
3895 new_blocks = [blk.take_nd(indexer, axis=axis, fill_tuple=(
3896 fill_value if fill_value is not None else blk.fill_value,))
-> 3897 for blk in self.blocks]
3898
3899 new_axes = list(self.axes)
~\AppData\Local\Continuum\anaconda3\envs\acnPJ\lib\site-packages\pandas\core\internals.py in take_nd(self, indexer, axis, new_mgr_locs, fill_tuple)
1044 fill_value = fill_tuple[0]
1045 new_values = algos.take_nd(values, indexer, axis=axis,
-> 1046 allow_fill=True, fill_value=fill_value)
1047
1048 if new_mgr_locs is None:
~\AppData\Local\Continuum\anaconda3\envs\acnPJ\lib\site-packages\pandas\core\algorithms.py in take_nd(arr, indexer, axis, out, fill_value, mask_info, allow_fill)
1465 out = np.empty(out_shape, dtype=dtype, order='F')
1466 else:
-> 1467 out = np.empty(out_shape, dtype=dtype)
1468
1469 func = _get_take_nd_function(arr.ndim, arr.dtype, out.dtype, axis=axis,
MemoryError: