使用Python / Numpy，我正在尝试导入文件;但是，该脚本返回一个我认为是内存错误的错误：
In [1]: import numpy as np
In [2]: npzfile = np.load('cuda400x400x2000.npz')
In [3]: U = npzfile['U']
---------------------------------------------------------------------------
SystemError Traceback (most recent call last)
<ipython-input-3-0539104595dc> in <module>()
----> 1 U = npzfile['U']
/usr/lib/pymodules/python2.7/numpy/lib/npyio.pyc in __getitem__(self, key)
232 if bytes.startswith(format.MAGIC_PREFIX):
233 value = BytesIO(bytes)
--> 234 return format.read_array(value)
235 else:
236 return bytes
/usr/lib/pymodules/python2.7/numpy/lib/format.pyc in read_array(fp)
456 # way.
457 # XXX: we can probably chunk this to avoid the memory hit.
--> 458 data = fp.read(int(count * dtype.itemsize))
459 array = numpy.fromstring(data, dtype=dtype, count=count)
460
SystemError: error return without exception set
如果加载正确，U将包含400 * 400 * 2000双打，因此大约为2.5 GB。系统似乎有足够的可用内存：
bogeholm@bananabot ~/Desktop $ free -m
total used free shared buffers cached
Mem: 7956 3375 4581 0 35 1511
-/+ buffers/cache: 1827 6128
Swap: 16383 0 16383
这是内存问题吗？它可以以任何方式修复，而不是购买更多内存吗？该框是Linux Mint DE，包含Python 2.7.3rc2和Numpy 1.6.2。
干杯，
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