本文整理汇总了Python中StandardNormalizer.StandardNormalizer.normalize方法的典型用法代码示例。如果您正苦于以下问题:Python StandardNormalizer.normalize方法的具体用法?Python StandardNormalizer.normalize怎么用?Python StandardNormalizer.normalize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StandardNormalizer.StandardNormalizer
的用法示例。
在下文中一共展示了StandardNormalizer.normalize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: normalize
# 需要导入模块: from StandardNormalizer import StandardNormalizer [as 别名]
# 或者: from StandardNormalizer.StandardNormalizer import normalize [as 别名]
def normalize(table, sql):
"""Normalizes results by rounding numbers, including those found in a
string (VARCHAR) column representing a GEOGRAPHY_POINT or GEOGRAPHY
(point or polygon) to the specified number of significant digits; the
result tuples of ORDER BY statements are not reordered.
"""
return StandardNormalizer.normalize(table, sql, SortNulls.never, 8)
示例2: normalize
# 需要导入模块: from StandardNormalizer import StandardNormalizer [as 别名]
# 或者: from StandardNormalizer.StandardNormalizer import normalize [as 别名]
def normalize(table, sql):
"""Normalizes the result tuples of ORDER BY statements in the default
manner, without sorting SQL NULL (Python None) values at all; in some
cases, this could lead to mismatches between HSqlDB, which always sorts
NULL values first, and VoltDB, which sorts NULL values as if they were
the lowest value (first with ORDER BY ASC, last with ORDER BY DESC), in
which case you could use a different normalizer, such as
nulls-lowest-normalizer.py.
"""
return StandardNormalizer.normalize(table, sql, SortNulls.never)
示例3: normalize
# 需要导入模块: from StandardNormalizer import StandardNormalizer [as 别名]
# 或者: from StandardNormalizer.StandardNormalizer import normalize [as 别名]
def normalize(table, sql, num_digits=12, sort_nulls=SortNulls.never):
"""Normalizes the result tuples of ORDER BY statements in the default
manner, without sorting SQL NULL (Python None) values at all; in some
cases, this could lead to mismatches between HSqlDB, which always sorts
NULL values first, and VoltDB, which sorts NULL values as if they were
the lowest value (first with ORDER BY ASC, last with ORDER BY DESC), in
which case you could use a different normalizer, such as
nulls-lowest-normalizer.py. Also rounds numbers, including those found
in a string (VARCHAR) column representing a GEOGRAPHY_POINT or GEOGRAPHY
(point or polygon) to the specified number of significant digits; the
result tuples of ORDER BY statements are not reordered.
"""
return StandardNormalizer.normalize(table, sql, num_digits, sort_nulls)
示例4: normalize
# 需要导入模块: from StandardNormalizer import StandardNormalizer [as 别名]
# 或者: from StandardNormalizer.StandardNormalizer import normalize [as 别名]
def normalize(table, sql):
"""Normalizes the result tuples of ORDER BY statements, sorting SQL NULL
(Python None) values as if they were the lowest values, i.e., first
when using ORDER BY col1 ASC, but last when using ORDER BY col1 DESC.
"""
return StandardNormalizer.normalize(table, sql, SortNulls.lowest)
示例5: normalize
# 需要导入模块: from StandardNormalizer import StandardNormalizer [as 别名]
# 或者: from StandardNormalizer.StandardNormalizer import normalize [as 别名]
def normalize(table, sql):
"""Normalizes the result tuples of ORDER BY statements, sorting SQL NULL
(Python None) values first (whether using ORDER BY ASC or DESC).
"""
return StandardNormalizer.normalize(table, sql, SortNulls.first)