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8bdd8922cb
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added items() to TimeSeriesCore
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2022-02-24 00:00:52 +05:30 |
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9707c095b0
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Series tests pass data type as string
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2022-02-22 13:05:54 +05:30 |
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306a2d730c
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Series repr now show data type
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2022-02-22 13:05:05 +05:30 |
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371f7e2279
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Added support for string dates in create_date_series
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2022-02-22 13:04:44 +05:30 |
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a39b4fa606
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Black formatting changes
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2022-02-22 11:29:47 +05:30 |
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15b0b96488
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Moved frequency test from test_fincal
Added tests for Series class
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2022-02-22 11:29:07 +05:30 |
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3aa38d31d1
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Series data_type takes strings
added ge and le to Series
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2022-02-22 11:28:26 +05:30 |
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6c006cb6a4
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prevent overwriting errors
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2022-02-22 11:27:39 +05:30 |
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b4d5291572
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added more tests
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2022-02-22 08:25:57 +05:30 |
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9ddf70fc61
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rolling return now returned as TimeSeries object
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2022-02-21 23:08:13 +05:30 |
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04176646b6
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improved slicer class
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2022-02-21 23:07:43 +05:30 |
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03283f7ed4
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changed return TimeSeries to return self.__class__
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2022-02-21 22:48:24 +05:30 |
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b99f0d67c1
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implemented getitem in Series to prevent error
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2022-02-21 22:48:00 +05:30 |
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3391f04e19
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replaced self.time_series with self.data
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2022-02-21 22:27:48 +05:30 |
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e22f6acc87
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series type is now user defined
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2022-02-21 22:27:26 +05:30 |
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59c9c658ca
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TimeSeriesCore is now a subclass of UserDict
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2022-02-21 15:23:20 +05:30 |
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2f0f1e0e47
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further testing
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2022-02-21 13:11:38 +05:30 |
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44d5ea7b29
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date parsing replaced with _parse_date function
This is to avoid ambiguity and keep date parsing uniform
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2022-02-21 13:11:19 +05:30 |
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cbace875c1
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implemented _parse_date function to formalise date parsing
made Series a subclass of UserList to improve compatibility
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2022-02-21 13:09:58 +05:30 |
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053a93900a
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Rolling return was passing frequency object
instea of frequency.symbol
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2022-02-21 08:27:01 +05:30 |
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81856b2c1a
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changed IndexSlicer to _IndexSlicer
And other minor changes
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2022-02-21 08:26:29 +05:30 |
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cd05250e8a
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now testing using Jupyter Notebook
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2022-02-21 08:22:04 +05:30 |
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47e11546a0
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Created Series class for slicing support
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2022-02-20 22:49:45 +05:30 |
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141ec97a2c
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converted dates and values to properties
ts['dates'] and ts['values'] keys implemted
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2022-02-20 21:52:33 +05:30 |
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439fa86b5c
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ffill and bfill now return TimeSeries objects instead of lists
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2022-02-20 21:51:54 +05:30 |
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2c1d508734
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implemented iterator
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2022-02-20 21:36:44 +05:30 |
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58524aae7e
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improved slicing with a separte iloc slider
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2022-02-20 19:00:39 +05:30 |
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e8b4607c29
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backfill now works with frequency
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2022-02-20 18:19:34 +05:30 |
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4563a89bc2
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Added tests for date_series & some for TimeSeries
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2022-02-20 16:08:26 +05:30 |
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23bc0b71a6
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create_date_series no longer returns dates > end_date
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2022-02-20 16:07:50 +05:30 |
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b4597da4af
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added frequency symbol, improved repr and str
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2022-02-20 16:06:34 +05:30 |
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f48d79afb9
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test files
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2022-02-20 11:36:56 +05:30 |
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4173736014
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changed to generic types
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2022-02-20 09:40:45 +05:30 |
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b9366541f3
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reduced the use of self.dates
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2022-02-20 09:19:43 +05:30 |
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56af7c33aa
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ffill now fills based on frequency
create date series supports eomonth parameter
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2022-02-19 23:03:41 +05:30 |
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01a05d66a2
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Split core functions & classes into separate file
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2022-02-19 23:03:00 +05:30 |
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8fdaa25a1e
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handled slicing in getitem
Also changed class representation to list[tuple]
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2022-02-19 16:47:53 +05:30 |
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2790106790
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reverted more unitended changes
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2022-02-19 15:43:52 +05:30 |
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c3928f756e
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reverted unitended changes
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2022-02-19 15:42:35 +05:30 |
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6851fedbca
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as_on_match and prior_match params for return calc
Also separated core methods & added getitem, len, head, and tail methods
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2022-02-19 13:23:15 +05:30 |
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5a51cb1a8b
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Capitalized frequency variable
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2022-02-19 09:39:37 +05:30 |
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335a6fc2e9
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Separate function for initial data formatting
Added _preprocess_timeseries function for initial data processing
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2022-02-18 21:17:04 +05:30 |
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b6b2381163
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Changed frequency into a dataclass
For more compact and pythonic code
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2022-02-17 22:50:19 +05:30 |
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1f2b75282b
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Added frequencies as classes
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2022-02-17 22:27:22 +05:30 |
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115e667bde
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Setup package and tested with tox
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2022-02-17 16:20:48 +05:30 |
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c9ead1a561
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first commit with basic time series operations
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2022-02-16 23:17:50 +05:30 |
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