本文整理匯總了Python中pandas.compat.import_lzma方法的典型用法代碼示例。如果您正苦於以下問題：Python compat.import_lzma方法的具體用法？Python compat.import_lzma怎麽用？Python compat.import_lzma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pandas.compat的用法示例。
在下文中一共展示了compat.import_lzma方法的5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: decompress_file
# 需要導入模塊: from pandas import compat [as 別名]
# 或者: from pandas.compat import import_lzma [as 別名]
def decompress_file(path, compression):
if compression is None:
f = open(path, 'rb')
elif compression == 'gzip':
import gzip
f = gzip.GzipFile(path, 'rb')
elif compression == 'bz2':
import bz2
f = bz2.BZ2File(path, 'rb')
elif compression == 'xz':
lzma = compat.import_lzma()
f = lzma.open(path, 'rb')
else:
msg = 'Unrecognized compression type: {}'.format(compression)
raise ValueError(msg)
result = f.read().decode('utf8')
f.close()
return result 示例2: _check_if_lzma
# 需要導入模塊: from pandas import compat [as 別名]
# 或者: from pandas.compat import import_lzma [as 別名]
def _check_if_lzma():
try:
return compat.import_lzma()
except ImportError:
return False 示例3: decompress_file
# 需要導入模塊: from pandas import compat [as 別名]
# 或者: from pandas.compat import import_lzma [as 別名]
def decompress_file(path, compression):
"""
Open a compressed file and return a file object
Parameters
----------
path : str
The path where the file is read from
compression : {'gzip', 'bz2', 'zip', 'xz', None}
Name of the decompression to use
Returns
-------
f : file object
"""
if compression is None:
f = open(path, 'rb')
elif compression == 'gzip':
import gzip
f = gzip.open(path, 'rb')
elif compression == 'bz2':
import bz2
f = bz2.BZ2File(path, 'rb')
elif compression == 'xz':
lzma = compat.import_lzma()
f = lzma.LZMAFile(path, 'rb')
elif compression == 'zip':
import zipfile
zip_file = zipfile.ZipFile(path)
zip_names = zip_file.namelist()
if len(zip_names) == 1:
f = zip_file.open(zip_names.pop())
else:
raise ValueError('ZIP file {} error. Only one file per ZIP.'
.format(path))
else:
msg = 'Unrecognized compression type: {}'.format(compression)
raise ValueError(msg)
try:
yield f
finally:
f.close()
if compression == "zip":
zip_file.close() 示例4: write_to_compressed
# 需要導入模塊: from pandas import compat [as 別名]
# 或者: from pandas.compat import import_lzma [as 別名]
def write_to_compressed(compression, path, data, dest="test"):
"""
Write data to a compressed file.
Parameters
----------
compression : {'gzip', 'bz2', 'zip', 'xz'}
The compression type to use.
path : str
The file path to write the data.
data : str
The data to write.
dest : str, default "test"
The destination file (for ZIP only)
Raises
------
ValueError : An invalid compression value was passed in.
"""
if compression == "zip":
import zipfile
compress_method = zipfile.ZipFile
elif compression == "gzip":
import gzip
compress_method = gzip.GzipFile
elif compression == "bz2":
import bz2
compress_method = bz2.BZ2File
elif compression == "xz":
lzma = compat.import_lzma()
compress_method = lzma.LZMAFile
else:
msg = "Unrecognized compression type: {}".format(compression)
raise ValueError(msg)
if compression == "zip":
mode = "w"
args = (dest, data)
method = "writestr"
else:
mode = "wb"
args = (data,)
method = "write"
with compress_method(path, mode=mode) as f:
getattr(f, method)(*args) 示例5: decompress_file
# 需要導入模塊: from pandas import compat [as 別名]
# 或者: from pandas.compat import import_lzma [as 別名]
def decompress_file(path, compression):
"""
Open a compressed file and return a file object
Parameters
----------
path : str
The path where the file is read from
compression : {'gzip', 'bz2', 'zip', 'xz', None}
Name of the decompression to use
Returns
-------
f : file object
"""
if compression is None:
f = open(path, 'rb')
elif compression == 'gzip':
import gzip
f = gzip.open(path, 'rb')
elif compression == 'bz2':
import bz2
f = bz2.BZ2File(path, 'rb')
elif compression == 'xz':
lzma = compat.import_lzma()
f = lzma.LZMAFile(path, 'rb')
elif compression == 'zip':
import zipfile
zip_file = zipfile.ZipFile(path)
zip_names = zip_file.namelist()
if len(zip_names) == 1:
f = zip_file.open(zip_names.pop())
else:
raise ValueError('ZIP file {} error. Only one file per ZIP.'
.format(path))
else:
msg = 'Unrecognized compression type: {}'.format(compression)
raise ValueError(msg)
yield f
f.close()