在这里,当执行行"array.tofile(fp)“时,出现了OSError,它显示"OSError: 269892000请求,269188084写入”。我能知道这到底是什么意思吗?可能的解决方案是什么?
def write_array(fp, array, version=None, allow_pickle=True, pickle_kwargs=None):
...
...**strong text**
_check_version(version)
used_ver = _write_array_header(fp, header_data_from_array_1_0(array),
version)
# this warning can be removed when 1.9 has aged enough
if version != (2, 0) and used_ver == (2, 0):
warnings.warn("Stored array in format 2.0. It can only be"
"read by NumPy >= 1.9", UserWarning)
# Set buffer size to 16 MiB to hide the Python loop overhead.
buffersize = max(16 * 1024 ** 2 // array.itemsize, 1)
if array.dtype.hasobject:
# We contain Python objects so we cannot write out the data
# directly. Instead, we will pickle it out with version 2 of the
# pickle protocol.
if not allow_pickle:
raise ValueError("Object arrays cannot be saved when "
"allow_pickle=False")
if pickle_kwargs is None:
pickle_kwargs = {}
pickle.dump(array, fp, protocol=2, **pickle_kwargs)
elif array.flags.f_contiguous and not array.flags.c_contiguous:
if isfileobj(fp):
array.T.tofile(fp)
else:
for chunk in numpy.nditer(
array, flags=['external_loop', 'buffered', 'zerosize_ok'],
buffersize=buffersize, order='F'):
fp.write(chunk.tobytes('C'))
else:
if isfileobj(fp):
print("Entered1")
array.tofile(fp)
else:
for chunk in numpy.nditer(
array, flags=['external_loop', 'buffered', 'zerosize_ok'],
buffersize=buffersize, order='C'):
fp.write(chunk.tobytes('C'))
发布于 2019-02-15 01:26:41
当您使用numpy.load的变体读取数据时,如果您的驱动器中没有足够的空间,则会出现此问题。
该错误基本上意味着numpy请求269892000,但由于空间限制,它只能在269188084中读取/保存。
释放一些空间!
发布于 2017-02-16 06:46:40
我得到了一个类似的错误,显然是由于savez存储文件的临时文件夹空间耗尽而导致的。根据this Numpy bug report的说法,一种解决方法是设置TMPDIR=/path/to/bigger/drive/tmp
。在我的例子中,例外是OSError,而不是报告的IOError,我认为这是Python3中的一个变化。看起来像是Numpy 1.12.0中的一个fix。
https://stackoverflow.com/questions/37657939
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