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frame-fixtures-1.0.0


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توضیحات

Use compact expressions to create diverse, deterministic DataFrame fixtures with StaticFrame
ویژگی مقدار
سیستم عامل -
نام فایل frame-fixtures-1.0.0
نام frame-fixtures
نسخه کتابخانه 1.0.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Christopher Ariza
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/static-frame/frame-fixtures
آدرس اینترنتی https://pypi.org/project/frame-fixtures/
مجوز MIT
The FrameFixtures library defines a tiny domain-specific language that permits using compact expressions to create diverse, deterministic DataFrame fixtures with StaticFrame. The resulting ``Frame`` can be used for test, performance studies, or documentation examples, and can easily be converted to Pandas DataFrames or other representations available via StaticFrame. Code: https://github.com/InvestmentSystems/frame-fixtures Packages: https://pypi.org/project/frame-fixtures Installation ------------------------------- Install FrameFixtures via PIP:: pip install frame-fixtures [extras] The ``[extras]`` configuration includes StaticFrame as a requirement. As StaticFrame uses FrameFixtures, installation without ``[extras]`` assumes the availability of StaticFrame:: pip install frame-fixtures Examples ------------------------------ Import FrameFixtures with the following convention: >>> import frame_fixtures as ff Create a 4 by 8 ``Frame`` of string, Booleans, and floats. >>> ff.parse('v(str,str,bool,float)|s(4,8)') <Frame> <Index> 0 1 2 3 4 5 6 7 <int64> <Index> 0 zjZQ zaji True 1080.4 zDVQ zEdH True 647.9 1 zO5l zJnC False 2580.34 z5hI zB7E True 2755.18 2 zEdH zDdR False 700.42 zyT8 zwIp False -1259.28 3 zB7E zuVU True 3338.48 zS6w zDVQ False 3442.84 <int64> <<U4> <<U4> <bool> <float64> <<U4> <<U4> <bool> <float64> The same ``Frame`` can be converted to Pandas: >>> ff.parse('v(str,str,bool,float)|s(4,8)').to_pandas() 0 1 2 3 4 5 6 7 0 zjZQ zaji True 1080.40 zDVQ zEdH True 647.90 1 zO5l zJnC False 2580.34 z5hI zB7E True 2755.18 2 zEdH zDdR False 700.42 zyT8 zwIp False -1259.28 3 zB7E zuVU True 3338.48 zS6w zDVQ False 3442.84 Create a 4 by 4 ``Frame`` of Booleans with three-level index and columns. >>> ff.parse('v(bool)|i(IH,(str,int,str))|c(IH,(str,int,str))|s(4,4)') <Frame> <IndexHierarchy> zZbu zZbu zZbu zZbu <<U4> 105269 105269 119909 119909 <int64> zDVQ z5hI zyT8 zS6w <<U4> <IndexHierarchy> zZbu 105269 zDVQ False False True False zZbu 105269 z5hI False False False False zZbu 119909 zyT8 False False False True zZbu 119909 zS6w True False True True <<U4> <int64> <<U4> <bool> <bool> <bool> <bool> The same ``Frame`` can be converted to Pandas: >>> ff.parse('v(bool)|i(IH,(str,int,str))|c(IH,(str,int,str))|s(4,4)').to_pandas() __index0__ zZbu __index1__ 105269 119909 __index2__ zDVQ z5hI zyT8 zS6w __index0__ __index1__ __index2__ zZbu 105269 zDVQ False False True False z5hI False False False False 119909 zyT8 False False False True zS6w True False True True FrameFixtures support defining features unique to StaticFrame, such as specifying a grow-only ``FrameGO``, ``Index`` types within ``IndexHierarchy``, and usage of ``np.datetime64`` types other than nanoseconds. These specifications are not directly convertible to Pandas. >>> ff.parse('f(Fg)|v(int,bool,str)|i((IY,ID),(dtY,dtD))|c(ISg,dts)|s(6,2)') <FrameGO> <IndexSecondGO> 1970-01-01T09:38:35 1970-01-01T01:00:48 <datetime64[s]> <IndexHierarchy> 36685 2258-03-21 -88017 False 36685 2298-04-20 92867 False 5618 2501-10-08 84967 False 5618 2441-04-14 13448 False 93271 2234-04-07 175579 False 93271 2210-12-26 58768 False <datetime64[Y]> <datetime64[D]> <int64> <bool> Grammar ------------------------------ Container Components ............................. A FrameFixture is defined by specifying one or more container components using symbols such as ``s`` for shape and ``i`` for index. Container components (CCs) are given arguments using Python function call syntax, and multiple CCs are delimited with ``|``. The shape CC takes integers as arguments; all other CCs take Constructor Specifiers (CS) and/or Dtype Specifiers (DS) as arguments. So a 100 by 20 ``Frame`` with an index of ``str`` is specified as ``s(100,20)|i(I,str)``, where 100 and 20 define the row and column counts, and `I` is the CC and `str` is the DS. Component symbols, whether components are required, and the number of required arguments, is summarized below. +-------+----------+---------+----------+----------------------------------+ |Symbol |Component |Required |Arguments |Signature | +=======+==========+=========+==========+==================================+ |f |Frame |False |1 |(CS,) | +-------+----------+---------+----------+----------------------------------+ |i |Index |False |2 |(CS, DS) or ((CS, ...), (DS, ...))| +-------+----------+---------+----------+----------------------------------+ |c |Columns |False |2 |(CS, DS) or ((CS, ...), (DS, ...))| +-------+----------+---------+----------+----------------------------------+ |v |Values |False |unbound |(DS, ...) | +-------+----------+---------+----------+----------------------------------+ |s |Shape |True |2 |(int, int) | +-------+----------+---------+----------+----------------------------------+ Constructor Specifiers ............................. CSs are given to the ``f`` CC; the ``i`` and ``c`` CC take one or many CSs as their first argument. +-------+---------------------------+ |Symbol |Class | +=======+===========================+ |F |Frame | +-------+---------------------------+ |Fg |FrameGO | +-------+---------------------------+ |I |Index | +-------+---------------------------+ |Ig |IndexGO | +-------+---------------------------+ |IH |IndexHierarchy | +-------+---------------------------+ |IHg |IndexHierarchyGO | +-------+---------------------------+ |IACF |IndexAutoConstructorFactory| +-------+---------------------------+ |IY |IndexYear | +-------+---------------------------+ |IYg |IndexYearGO | +-------+---------------------------+ |IM |IndexYearMonth | +-------+---------------------------+ |IMg |IndexYearMonthGO | +-------+---------------------------+ |IYM |IndexYearMonth | +-------+---------------------------+ |IYMg |IndexYearMonthGO | +-------+---------------------------+ |ID |IndexDate | +-------+---------------------------+ |IDg |IndexDateGO | +-------+---------------------------+ |Ih |IndexHour | +-------+---------------------------+ |Ihg |IndexHourGO | +-------+---------------------------+ |Im |IndexMinute | +-------+---------------------------+ |Img |IndexMinuteGO | +-------+---------------------------+ |Is |IndexSecond | +-------+---------------------------+ |Isg |IndexSecondGO | +-------+---------------------------+ |Ims |IndexMillisecond | +-------+---------------------------+ |Imsg |IndexMillisecondGO | +-------+---------------------------+ |Ius |IndexMicrosecond | +-------+---------------------------+ |Iusg |IndexMicrosecondGO | +-------+---------------------------+ |Ins |IndexNanosecond | +-------+---------------------------+ |Insg |IndexNanosecondGO | +-------+---------------------------+ Dtype Specifiers ............................. DSs are given to the ``v`` CC, and are used repeatedly to fill all columns; the ``i`` and ``c`` CC take one or many DSs as their second argument. +-----------+--------------------------+ |Symbol |Class | +===========+==========================+ |dtY |dtype('<M8[Y]') | +-----------+--------------------------+ |dtM |dtype('<M8[M]') | +-----------+--------------------------+ |dtD |dtype('<M8[D]') | +-----------+--------------------------+ |dth |dtype('<M8[h]') | +-----------+--------------------------+ |dtm |dtype('<M8[m]') | +-----------+--------------------------+ |dts |dtype('<M8[s]') | +-----------+--------------------------+ |dtms |dtype('<M8[ms]') | +-----------+--------------------------+ |dtus |dtype('<M8[us]') | +-----------+--------------------------+ |dtns |dtype('<M8[ns]') | +-----------+--------------------------+ |tdY |dtype('<m8[Y]') | +-----------+--------------------------+ |tdM |dtype('<m8[M]') | +-----------+--------------------------+ |tdD |dtype('<m8[D]') | +-----------+--------------------------+ |tdh |dtype('<m8[h]') | +-----------+--------------------------+ |tdm |dtype('<m8[m]') | +-----------+--------------------------+ |tds |dtype('<m8[s]') | +-----------+--------------------------+ |tdms |dtype('<m8[ms]') | +-----------+--------------------------+ |tdus |dtype('<m8[us]') | +-----------+--------------------------+ |tdns |dtype('<m8[ns]') | +-----------+--------------------------+ |int |<class 'int'> | +-----------+--------------------------+ |str |<class 'str'> | +-----------+--------------------------+ |bytes |<class 'bytes'> | +-----------+--------------------------+ |float |<class 'float'> | +-----------+--------------------------+ |bool |<class 'bool'> | +-----------+--------------------------+ |complex |<class 'complex'> | +-----------+--------------------------+ |object |<class 'object'> | +-----------+--------------------------+ |int8 |<class 'numpy.int8'> | +-----------+--------------------------+ |int16 |<class 'numpy.int16'> | +-----------+--------------------------+ |int32 |<class 'numpy.int32'> | +-----------+--------------------------+ |int64 |<class 'numpy.int64'> | +-----------+--------------------------+ |uint8 |<class 'numpy.uint8'> | +-----------+--------------------------+ |uint16 |<class 'numpy.uint16'> | +-----------+--------------------------+ |uint32 |<class 'numpy.uint32'> | +-----------+--------------------------+ |uint64 |<class 'numpy.uint64'> | +-----------+--------------------------+ |float16 |<class 'numpy.float16'> | +-----------+--------------------------+ |float32 |<class 'numpy.float32'> | +-----------+--------------------------+ |float64 |<class 'numpy.float64'> | +-----------+--------------------------+ |complex64 |<class 'numpy.complex64'> | +-----------+--------------------------+ |complex128 |<class 'numpy.complex128'>| +-----------+--------------------------+


نیازمندی

مقدار نام
>=1.18.5 numpy
>=1.1.1 static-frame


زبان مورد نیاز

مقدار نام
>3.7.0 Python


نحوه نصب


نصب پکیج whl frame-fixtures-1.0.0:

    pip install frame-fixtures-1.0.0.whl


نصب پکیج tar.gz frame-fixtures-1.0.0:

    pip install frame-fixtures-1.0.0.tar.gz