我正在尝试读取。XPT文件转换为Pandas DataFrame。如果文件是本地文件，则此项功能有效，但如果文件存储在GCS中，则此功能无效。
我使用将样本数据上传到GCS
!curl -L https://wwwn.cdc.gov/Nchs/Nhanes/2017-2018/DEMO_J.XPT | gsutil cp - gs://my-bucket/sas_sample/Nchs/Nhanes/2017-2018/DEMO_J.XPT
我还使用在本地下载了该文件
mkdir data
!curl https://wwwn.cdc.gov/Nchs/Nhanes/2017-2018/DEMO_J.XPT -o data/DEMO_J.XPT
我尝试过以下GCS，但都不起作用：
import pandas as pd
import gcsfs
fs = gcsfs.GCSFileSystem(project='my-project')
with fs.open('my-bucket/sas_sample/Nchs/Nhanes/2017-2018/DEMO_J.XPT') as f:
df = pd.read_sas(f,format='xport')
import pandas as pd
filepath = 'gs://my-bucket/sas_sample/Nchs/Nhanes/2017-2018/DEMO_J.XPT'
df = pd.read_sas(filepath, format='xport', encoding='utf-8')
df.head(10)
它们都返回以下错误：
/opt/conda/anaconda/lib/python3.7/site-packages/pandas/io/sas/sas_xport.py in __init__(self, filepath_or_buffer, index, encoding, chunksize)
278 contents = filepath_or_buffer.read()
279 try:
--> 280 contents = contents.encode(self._encoding)
281 except UnicodeEncodeError:
282 pass
AttributeError: 'bytes' object has no attribute 'encode'
现在也尝试了TensorFlow，但它不起作用：
from tensorflow.python.lib.io import file_io
import pandas as pd
filepath = 'gs://my-bucket/sas_sample/Nchs/Nhanes/2017-2018/DEMO_J.XPT'
with file_io.FileIO(filepath, 'r') as f:
# ISO-8859-1
# utf-8
# utf-16
# latin-1
df = pd.read_sas(f, format='xport', encoding='utf-8')
df.head(5)
返回错误：
---------------------------------------------------------------------------
UnicodeDecodeError Traceback (most recent call last)
<ipython-input-60-fb02f0706587> in <module>
10 # utf-16
11 # latin-1
---> 12 df = pd.read_sas(f, format='xport', encoding='utf-8')
13
14 df.head(5)
/opt/conda/anaconda/lib/python3.7/site-packages/pandas/io/sas/sasreader.py in read_sas(filepath_or_buffer, format, index, encoding, chunksize, iterator)
68
69 reader = XportReader(
---> 70 filepath_or_buffer, index=index, encoding=encoding, chunksize=chunksize
71 )
72 elif format.lower() == "sas7bdat":
/opt/conda/anaconda/lib/python3.7/site-packages/pandas/io/sas/sas_xport.py in __init__(self, filepath_or_buffer, index, encoding, chunksize)
276 else:
277 # Copy to BytesIO, and ensure no encoding
--> 278 contents = filepath_or_buffer.read()
279 try:
280 contents = contents.encode(self._encoding)
/opt/conda/anaconda/lib/python3.7/site-packages/tensorflow_core/python/lib/io/file_io.py in read(self, n)
126 length = n
127 return self._prepare_value(
--> 128 pywrap_tensorflow.ReadFromStream(self._read_buf, length))
129
130 @deprecation.deprecated_args(
/opt/conda/anaconda/lib/python3.7/site-packages/tensorflow_core/python/lib/io/file_io.py in _prepare_value(self, val)
96 return compat.as_bytes(val)
97 else:
---> 98 return compat.as_str_any(val)
99
100 def size(self):
/opt/conda/anaconda/lib/python3.7/site-packages/tensorflow_core/python/util/compat.py in as_str_any(value)
137 """
138 if isinstance(value, bytes):
--> 139 return as_str(value)
140 else:
141 return str(value)
/opt/conda/anaconda/lib/python3.7/site-packages/tensorflow_core/python/util/compat.py in as_text(bytes_or_text, encoding)
107 return bytes_or_text
108 elif isinstance(bytes_or_text, bytes):
--> 109 return bytes_or_text.decode(encoding)
110 else:
111 raise TypeError('Expected binary or unicode string, got %r' % bytes_or_text)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 2967: invalid start byte
但是，当文件是本地文件时，以下内容可以正常工作：
import pandas as pd
filepath = 'data/DEMO_J.XPT'
df = pd.read_sas(filepath, format='xport', encoding='utf-8')
df.head(10)
看起来代码并没有真正为Python 3更新。您可以尝试通过删除.encode('utf-8'(来修复该库，因为您在Python3中不需要它。请参阅：https://docs.python.org/3/library/stdtypes.html#binary-序列类型字节字节数组内存查看
或者，您可以使用tensorflow而不是gcs-fuse:
from tensorflow.python.lib.io import file_io
with file_io.FileIO('gs://my-bucket/.../DEMO_J.XPT', 'r') as f:
df = pd.read_sas(f, format='xport')
这是一个错误33069熊猫。SAS IO连接器错误地假设所有文件缓冲区都以文本模式打开。
我用以下更改修补了本地site-packages/pandas/io/sas/sas_xport.py，并能够读取数据帧：
class XportReader(BaseIterator):
__doc__ = _xport_reader_doc
def __init__(
self, filepath_or_buffer, index=None, encoding="ISO-8859-1", chunksize=None
):
self._encoding = encoding
self._lines_read = 0
self._index = index
self._chunksize = chunksize
if isinstance(filepath_or_buffer, str):
(
filepath_or_buffer,
encoding,
compression,
should_close,
) = get_filepath_or_buffer(filepath_or_buffer, encoding=encoding)
if isinstance(filepath_or_buffer, (str, bytes)):
self.filepath_or_buffer = open(filepath_or_buffer, "rb")
else:
# Copy to BytesIO, and ensure no encoding
contents = filepath_or_buffer.read()
try:
# NEW LINE HERE: Don't convert to binary if it's already bytes.
if hasattr(contents, "encode"):
contents = contents.encode(self._encoding)
except UnicodeEncodeError:
pass
self.filepath_or_buffer = BytesIO(contents)
self._read_header()
PR 33070处于挂起状态，修复了此问题。合并后，pandas 1.1.0发布后，将不再需要手动补丁。