本文整理匯總了Python中s3fs.S3File方法的典型用法代碼示例。如果您正苦於以下問題：Python s3fs.S3File方法的具體用法？Python s3fs.S3File怎麽用？Python s3fs.S3File使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類s3fs的用法示例。
在下文中一共展示了s3fs.S3File方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: get_filepath_or_buffer
# 需要導入模塊: import s3fs [as 別名]
# 或者: from s3fs import S3File [as 別名]
def get_filepath_or_buffer(filepath_or_buffer, encoding=None,
compression=None, mode=None):
"""
If the filepath_or_buffer is a url, translate and return the buffer.
Otherwise passthrough.
Parameters
----------
filepath_or_buffer : a url, filepath (str, py.path.local or pathlib.Path),
or buffer
encoding : the encoding to use to decode py3 bytes, default is 'utf-8'
mode : str, optional
Returns
-------
tuple of ({a filepath_ or buffer or S3File instance},
encoding, str,
compression, str,
should_close, bool)
"""
filepath_or_buffer = _stringify_path(filepath_or_buffer)
if _is_url(filepath_or_buffer):
req = _urlopen(filepath_or_buffer)
content_encoding = req.headers.get('Content-Encoding', None)
if content_encoding == 'gzip':
# Override compression based on Content-Encoding header
compression = 'gzip'
reader = BytesIO(req.read())
req.close()
return reader, encoding, compression, True
if is_s3_url(filepath_or_buffer):
from pandas.io import s3
return s3.get_filepath_or_buffer(filepath_or_buffer,
encoding=encoding,
compression=compression,
mode=mode)
if is_gcs_url(filepath_or_buffer):
from pandas.io import gcs
return gcs.get_filepath_or_buffer(filepath_or_buffer,
encoding=encoding,
compression=compression,
mode=mode)
if isinstance(filepath_or_buffer, (compat.string_types,
compat.binary_type,
mmap.mmap)):
return _expand_user(filepath_or_buffer), None, compression, False
if not is_file_like(filepath_or_buffer):
msg = "Invalid file path or buffer object type: {_type}"
raise ValueError(msg.format(_type=type(filepath_or_buffer)))
return filepath_or_buffer, None, compression, False 示例2: get_filepath_or_buffer
# 需要導入模塊: import s3fs [as 別名]
# 或者: from s3fs import S3File [as 別名]
def get_filepath_or_buffer(filepath_or_buffer, encoding=None,
compression=None, mode=None):
"""
If the filepath_or_buffer is a url, translate and return the buffer.
Otherwise passthrough.
Parameters
----------
filepath_or_buffer : a url, filepath (str, py.path.local or pathlib.Path),
or buffer
encoding : the encoding to use to decode py3 bytes, default is 'utf-8'
mode : str, optional
Returns
-------
tuple of ({a filepath_ or buffer or S3File instance},
encoding, str,
compression, str,
should_close, bool)
"""
filepath_or_buffer = _stringify_path(filepath_or_buffer)
if _is_url(filepath_or_buffer):
req = _urlopen(filepath_or_buffer)
content_encoding = req.headers.get('Content-Encoding', None)
if content_encoding == 'gzip':
# Override compression based on Content-Encoding header
compression = 'gzip'
reader = BytesIO(req.read())
req.close()
return reader, encoding, compression, True
if is_s3_url(filepath_or_buffer):
from pandas.io import s3
return s3.get_filepath_or_buffer(filepath_or_buffer,
encoding=encoding,
compression=compression,
mode=mode)
if isinstance(filepath_or_buffer, (compat.string_types,
compat.binary_type,
mmap.mmap)):
return _expand_user(filepath_or_buffer), None, compression, False
if not is_file_like(filepath_or_buffer):
msg = "Invalid file path or buffer object type: {_type}"
raise ValueError(msg.format(_type=type(filepath_or_buffer)))
return filepath_or_buffer, None, compression, False