本文整理汇总了Python中fastparquet.__version__方法的典型用法代码示例。如果您正苦于以下问题：Python fastparquet.__version__方法的具体用法？Python fastparquet.__version__怎么用？Python fastparquet.__version__使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类fastparquet的用法示例。
在下文中一共展示了fastparquet.__version__方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: import fastparquet [as 别名]
# 或者: from fastparquet import __version__ [as 别名]
def __init__(self):
# since pandas is a dependency of pyarrow
# we need to import on first use
try:
import pyarrow
import pyarrow.parquet
except ImportError:
raise ImportError(
"pyarrow is required for parquet support\n\n"
"you can install via conda\n"
"conda install pyarrow -c conda-forge\n"
"\nor via pip\n"
"pip install -U pyarrow\n"
)
if LooseVersion(pyarrow.__version__) < '0.9.0':
raise ImportError(
"pyarrow >= 0.9.0 is required for parquet support\n\n"
"you can install via conda\n"
"conda install pyarrow -c conda-forge\n"
"\nor via pip\n"
"pip install -U pyarrow\n"
)
self.api = pyarrow 示例2: __init__
# 需要导入模块: import fastparquet [as 别名]
# 或者: from fastparquet import __version__ [as 别名]
def __init__(self):
# since pandas is a dependency of fastparquet
# we need to import on first use
try:
import fastparquet
except ImportError:
raise ImportError(
"fastparquet is required for parquet support\n\n"
"you can install via conda\n"
"conda install fastparquet -c conda-forge\n"
"\nor via pip\n"
"pip install -U fastparquet"
)
if LooseVersion(fastparquet.__version__) < '0.1.0':
raise ImportError(
"fastparquet >= 0.1.0 is required for parquet "
"support\n\n"
"you can install via conda\n"
"conda install fastparquet -c conda-forge\n"
"\nor via pip\n"
"pip install -U fastparquet"
)
self.api = fastparquet 示例3: __init__
# 需要导入模块: import fastparquet [as 别名]
# 或者: from fastparquet import __version__ [as 别名]
def __init__(self):
# since pandas is a dependency of pyarrow
# we need to import on first use
try:
import pyarrow
import pyarrow.parquet
except ImportError:
raise ImportError("pyarrow is required for parquet support\n\n"
"you can install via conda\n"
"conda install pyarrow -c conda-forge\n"
"\nor via pip\n"
"pip install -U pyarrow\n")
if LooseVersion(pyarrow.__version__) < '0.4.1':
raise ImportError("pyarrow >= 0.4.1 is required for parquet"
"support\n\n"
"you can install via conda\n"
"conda install pyarrow -c conda-forge\n"
"\nor via pip\n"
"pip install -U pyarrow\n")
self._pyarrow_lt_050 = LooseVersion(pyarrow.__version__) < '0.5.0'
self._pyarrow_lt_060 = LooseVersion(pyarrow.__version__) < '0.6.0'
self.api = pyarrow 示例4: test_basic
# 需要导入模块: import fastparquet [as 别名]
# 或者: from fastparquet import __version__ [as 别名]
def test_basic(self, fp, df_full):
df = df_full
# additional supported types for fastparquet
if LooseVersion(fastparquet.__version__) >= LooseVersion('0.1.4'):
df['datetime_tz'] = pd.date_range('20130101', periods=3,
tz='US/Eastern')
df['timedelta'] = pd.timedelta_range('1 day', periods=3)
check_round_trip(df, fp) 示例5: test_categorical
# 需要导入模块: import fastparquet [as 别名]
# 或者: from fastparquet import __version__ [as 别名]
def test_categorical(self, fp):
if LooseVersion(fastparquet.__version__) < LooseVersion("0.1.3"):
pytest.skip("CategoricalDtype not supported for older fp")
df = pd.DataFrame({'a': pd.Categorical(list('abc'))})
check_round_trip(df, fp)