用于在aniso8601中使用numpy datetime api的库

  1. 您所在的位置：
  2. Python中文网 >
  3. pypi >
  4. numpytimebuilder库 >
  5. 正文

numpytimebuilder的Python项目详细描述


numpytimebuilder

aniso8601用于numpy日期时间的生成器

功能

安装

建议的安装方法是使用pip:

$ pip install numpytimebuilder

或者，您可以下载源代码（托管在Bitbucket的git存储库）并直接安装：

$ python setup.py install

使用

分析日期时间

要分析典型的ISO 8601日期时间字符串：

>>> import aniso8601
>>> from numpytimebuilder import NumPyTimeBuilder
>>> aniso8601.parse_datetime('1977-06-10T12:00:00', builder=NumPyTimeBuilder)
numpy.datetime64('1977-06-10T12:00:00')

可以指定替代分隔符，例如空格：

>>> aniso8601.parse_datetime('1977-06-10 12:00:00', delimiter=' ', builder=NumPyTimeBuilder)
numpy.datetime64('1977-06-10T12:00:00')

由于numpy datetime64实现仅支持原始日期时间，因此显式不支持时区：

>>> aniso8601.parse_datetime('1977-06-10T12:00:00Z', builder=NumPyTimeBuilder)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/nielsenb/Jetfuse/numpytimebuilder/python2/lib/python2.7/site-packages/aniso8601/time.py", line 131, in parse_datetime
    return builder.build_datetime(datepart, timepart)
  File "numpytimebuilder/__init__.py", line 37, in build_datetime
    raise NotImplementedError('Timezones are not supported by numpy '
NotImplementedError: Timezones are not supported by numpy datetime64 type.
>>> aniso8601.parse_datetime('1979-06-05T08:00:00-08:00', builder=NumPyTimeBuilder)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/nielsenb/Jetfuse/numpytimebuilder/python2/lib/python2.7/site-packages/aniso8601/time.py", line 131, in parse_datetime
    return builder.build_datetime(datepart, timepart)
  File "numpytimebuilder/__init__.py", line 37, in build_datetime
    raise NotImplementedError('Timezones are not supported by numpy '
NotImplementedError: Timezones are not supported by numpy datetime64 type

numpydatetime64实现当前不支持闰秒，因此显式不支持闰秒：

>>> aniso8601.parse_datetime('2018-03-06T23:59:60', builder=NumPyTimeBuilder)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/nielsenb/Jetfuse/numpytimebuilder/python2/lib/python2.7/site-packages/aniso8601/time.py", line 131, in parse_datetime
    return builder.build_datetime(datepart, timepart)
  File "numpytimebuilder/__init__.py", line 120, in build_datetime
    raise LeapSecondError('Leap seconds are not supported.')
aniso8601.exceptions.LeapSecondError: Leap seconds are not supported.

分析日期

解析iso 8601字符串中表示的日期：

>>> import aniso8601
>>> from numpytimebuilder import NumPyTimeBuilder
>>> aniso8601.parse_date('1984-04-23', builder=NumPyTimeBuilder)
numpy.datetime64('1984-04-23')

也支持基本格式：

>>> aniso8601.parse_date('19840423', builder=NumPyTimeBuilder)
numpy.datetime64('1984-04-23')

使用ISO 8601周日期格式分析日期：

>>> aniso8601.parse_date('1986-W38-1', builder=NumPyTimeBuilder)
numpy.datetime64('1986-09-15')

要分析ISO 8601序号日期：

>>> aniso8601.parse_date('1988-132', builder=NumPyTimeBuilder)
numpy.datetime64('1988-05-11')

解析时间

numpy不提供time64类型，因此显式不支持解析时间：

>>> import aniso8601
>>> from numpytimebuilder import NumPyTimeBuilder
>>> aniso8601.parse_time('11:31:14', builder=NumPyTimeBuilder)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/nielsenb/Jetfuse/numpytimebuilder/python2/lib/python2.7/site-packages/aniso8601/time.py", line 116, in parse_time
    return _RESOLUTION_MAP[get_time_resolution(timestr)](timestr, tz, builder)
  File "/home/nielsenb/Jetfuse/numpytimebuilder/python2/lib/python2.7/site-packages/aniso8601/time.py", line 165, in _parse_second_time
    return builder.build_time(hh=hourstr, mm=minutestr, ss=secondstr, tz=tz)
  File "numpytimebuilder/__init__.py", line 32, in build_time
    raise NotImplementedError('No compatible numpy time64 type.')
NotImplementedError: No compatible numpy time64 type.

解析持续时间

numpy timedelta64类型只支持每个delta的单个组件，因此durations作为timedelta64对象的元组返回。

要分析格式化为ISO 8601字符串的持续时间：

>>> import aniso8601
>>> from numpytimebuilder import NumPyTimeBuilder
>>> aniso8601.parse_duration('P1Y2M3DT4H54M6S', builder=NumPyTimeBuilder)
(numpy.timedelta64(428,'D'), numpy.timedelta64(4,'h'), numpy.timedelta64(54,'m'), numpy.timedelta64(6,'s'), numpy.timedelta64(0,'ms'), numpy.timedelta64(0,'us'), numpy.timedelta64(0,'ns'), numpy.timedelta64(0,'ps'), numpy.timedelta64(0,'fs'), numpy.timedelta64(0,'as'))

支持降低精度：

>>> aniso8601.parse_duration('P1Y', builder=NumPyTimeBuilder)
(numpy.timedelta64(365,'D'), numpy.timedelta64(0,'h'), numpy.timedelta64(0,'m'), numpy.timedelta64(0,'s'), numpy.timedelta64(0,'ms'), numpy.timedelta64(0,'us'), numpy.timedelta64(0,'ns'), numpy.timedelta64(0,'ps'), numpy.timedelta64(0,'fs'), numpy.timedelta64(0,'as'))

最低阶元素上允许有小数部分：

>>> aniso8601.parse_duration('P1YT3.5M', builder=NumPyTimeBuilder)
(numpy.timedelta64(365,'D'), numpy.timedelta64(0,'h'), numpy.timedelta64(3,'m'), numpy.timedelta64(30,'s'), numpy.timedelta64(0,'ms'), numpy.timedelta64(0,'us'), numpy.timedelta64(0,'ns'), numpy.timedelta64(0,'ps'), numpy.timedelta64(0,'fs'), numpy.timedelta64(0,'as'))

小数部分可以用逗号而不是句号来指定：

>>> aniso8601.parse_duration('P1YT3,5M', builder=NumPyTimeBuilder)
(numpy.timedelta64(365,'D'), numpy.timedelta64(0,'h'), numpy.timedelta64(3,'m'), numpy.timedelta64(30,'s'), numpy.timedelta64(0,'ms'), numpy.timedelta64(0,'us'), numpy.timedelta64(0,'ns'), numpy.timedelta64(0,'ps'), numpy.timedelta64(0,'fs'), numpy.timedelta64(0,'as'))

还支持从组合的日期和时间解析持续时间：

>>> aniso8601.parse_duration('P0001-01-02T01:30:5', builder=NumPyTimeBuilder)
(numpy.timedelta64(397,'D'), numpy.timedelta64(1,'h'), numpy.timedelta64(30,'m'), numpy.timedelta64(5,'s'), numpy.timedelta64(0,'ms'), numpy.timedelta64(0,'us'), numpy.timedelta64(0,'ns'), numpy.timedelta64(0,'ps'), numpy.timedelta64(0,'fs'), numpy.timedelta64(0,'as'))

以上按365天计算年，按30天计算月。不支持日历级别的准确性。相应地支持部分年份和月份：

>>> aniso8601.parse_duration('P2.1Y', builder=NumPyTimeBuilder)
(numpy.timedelta64(766,'D'), numpy.timedelta64(12,'h'), numpy.timedelta64(0,'m'), numpy.timedelta64(0,'s'), numpy.timedelta64(0,'ms'), numpy.timedelta64(0,'us'), numpy.timedelta64(0,'ns'), numpy.timedelta64(0,'ps'), numpy.timedelta64(0,'fs'), numpy.timedelta64(0,'as'))
>>> aniso8601.parse_duration('P1Y0.5M', builder=NumPyTimeBuilder)
(numpy.timedelta64(380,'D'), numpy.timedelta64(0,'h'), numpy.timedelta64(0,'m'), numpy.timedelta64(0,'s'), numpy.timedelta64(0,'ms'), numpy.timedelta64(0,'us'), numpy.timedelta64(0,'ns'), numpy.timedelta64(0,'ps'), numpy.timedelta64(0,'fs'), numpy.timedelta64(0,'as'))

应用持续时间

提供了apply_durationhelper函数，用于将duration元组应用于datetime64对象。它需要一个dateime64（来自parse_datetime）、一个duration元组（来自parse_duration）和一个Python operator来应用：

>>> import aniso8601
>>> import operator
>>> from numpytimebuilder import NumPyTimeBuilder
>>> from numpytimebuilder.util import apply_duration
>>> datetime = aniso8601.parse_datetime('1977-06-10T12:00:00', builder=NumPyTimeBuilder)
>>> duration = aniso8601.parse_duration('P3Y2M1DT1H2M3S', builder=NumPyTimeBuilder)
>>> apply_duration(datetime, duration, operator.add)
numpy.datetime64('1980-08-09T13:02:03')

请记住，可表示的日期时间跨度随着分辨率的增加而减小！有关详细信息，请参阅NumPy Datetime Units文档。

解析间隔

分析由开始和结束指定的间隔：

>>> import aniso8601
>>> from numpytimebuilder import NumPyTimeBuilder
>>> aniso8601.parse_interval('2007-03-01T13:00:00/2008-05-11T15:30:00')
(numpy.datetime64('2007-03-01T13:00:00'), numpy.datetime64('2008-05-11T15:30:00'))

支持由开始时间和持续时间指定的间隔：

>>> aniso8601.parse_interval('2007-03-01T13:00:00/P1Y2M10DT2H30M', builder=NumPyTimeBuilder)
(numpy.datetime64('2007-03-01T13:00:00'), numpy.datetime64('2008-05-09T15:30:00'))

持续时间也可以由持续时间和结束时间指定：

>>> aniso8601.parse_interval('P1M/1981-04-05', builder=NumPyTimeBuilder)
(numpy.datetime64('1981-04-05'), numpy.datetime64('1981-03-06'))

请注意，上述分析的结果不是从最早到最晚的顺序。如果需要排序间隔，只需使用sorted关键字，如下所示：

>>> sorted(aniso8601.parse_interval('P1M/1981-04-05', builder=NumPyTimeBuilder))
[numpy.datetime64('1981-03-06'), numpy.datetime64('1981-04-05')]

当需要保持由持续时间指定的分辨率时，即使持续时间的开始被指定为日期，间隔的结束也会作为日期时间返回：

>>> aniso8601.parse_interval('2014-11-12/PT4H54M6.5S', builder=NumPyTimeBuilder)
(numpy.datetime64('2014-11-12'), numpy.datetime64('2014-11-12T04:54:06.500'))
>>> aniso8601.parse_interval('2007-03-01/P1.5D', builder=NumPyTimeBuilder)
(numpy.datetime64('2007-03-01'), numpy.datetime64('2007-03-02T12:00:00'))

还支持重复间隔，并返回生成器：

>>> aniso8601.parse_repeating_interval('R3/1981-04-05/P1D', builder=NumPyTimeBuilder)
<generator object _date_generator at 0x7fd76fe9abe0>
>>> list(aniso8601.parse_repeating_interval('R3/1981-04-05/P1D', builder=NumPyTimeBuilder))
[numpy.datetime64('1981-04-05'), numpy.datetime64('1981-04-06'), numpy.datetime64('1981-04-07')]

允许重复间隔朝相反方向进行：

>>> list(aniso8601.parse_repeating_interval('R2/PT1H2M/1980-03-05T01:01:00', builder=NumPyTimeBuilder))
[numpy.datetime64('1980-03-05T01:01:00'), numpy.datetime64('1980-03-04T23:59:00')]

也允许无限间隔（python 2）：

>>> result = aniso8601.parse_repeating_interval('R/PT1H2M/1980-03-05T01:01:00', builder=NumPyTimeBuilder)
>>> result.next()
numpy.datetime64('1980-03-05T01:01:00')
>>> result.next()
numpy.datetime64('1980-03-04T23:59:00')

或者对于python 3:

>>> result = aniso8601.parse_repeating_interval('R/PT1H2M/1980-03-05T01:01:00', builder=NumPyTimeBuilder)
>>> next(result)
numpy.datetime64('1980-03-05T01:01:00')
>>> next(result)
numpy.datetime64('1980-03-04T23:59:00')

以上按365天计算年，按30天计算月。不支持日历级别的准确性。相应地支持部分月份和年份：

>>> aniso8601.parse_interval('P1.1Y/2001-02-28', builder=NumPyTimeBuilder)
(numpy.datetime64('2001-02-28'), numpy.datetime64('2000-01-24'))
>>> aniso8601.parse_interval('2001-02-28/P1Y2.5M', builder=NumPyTimeBuilder)
(numpy.datetime64('2001-02-28'), numpy.datetime64('2002-05-14'))

开发

设置

建议使用virtualenv开发。

测试

测试可以使用setuptools<；https://setuptools.readthedocs.io/en/latest/setuptools.html>；：

$ python setup.py test

发明者但是

numpytimebuilder是一个托管在Bitbucket上的开源项目。

我们的issue tracker欢迎任何和所有错误。

欢迎加入QQ群-->： 979659372 Python中文网_新手群

推荐PyPI第三方库


导 航 栏

项目 链接

标 签

许可证: BSD许可证（BSD 3条款）

作者信息:: 暂无

维护者

pypi user: nielsenb nielsenb

最新PyPI项目

最新Python常见问题

热门话题
java Cassandra复制因子大于节点数   java J2EE JTA事务回滚不适用于OSE Glassfish 4.0（Build 89）   java spring安全预认证用户登录   org的java类文件。反应流。从RxJava编译示例时未找到Publisher？   java在使用dataFormat作为POJO通过Camel调用Web服务时无法设置SOAP标头   Javafx类的java静态实例   java如何防止一个部件在关闭时覆盖另一个部件的位置   sql server无法从我的java代码连接到数据库   java在JList（Swing）中显示带有的ArrayList   从Java中的CXF服务获取WSAddressing数据   使用资产文件夹进行java简单json解析（本地）   java LDAPException未绑定的无效凭据   JavaJSFspring部署到weblogic   JAVA中字符数组中的特定元素排列？   如果脚本位于不同的目录中，则ant不会使用exec标记运行Javashell脚本