From e22f6acc87a45ca2b4b9f211ca73a3ec2a413e9a Mon Sep 17 00:00:00 2001 From: Gourav Kumar Date: Mon, 21 Feb 2022 22:27:26 +0530 Subject: [PATCH] series type is now user defined --- fincal/core.py | 57 ++++++++++++++++++++++---------------------------- 1 file changed, 25 insertions(+), 32 deletions(-) diff --git a/fincal/core.py b/fincal/core.py index 4891020..6d7f0da 100644 --- a/fincal/core.py +++ b/fincal/core.py @@ -2,7 +2,7 @@ import datetime from collections import UserDict, UserList from dataclasses import dataclass from numbers import Number -from typing import Iterable, List, Literal, Mapping, Sequence, Tuple, Union +from typing import Iterable, List, Literal, Mapping, Sequence, Tuple, Type, Union @dataclass @@ -132,30 +132,26 @@ class _IndexSlicer: class Series(UserList): - def __init__(self, data): + """Container for a series of objects, all objects must be of the same type""" + + def __init__( + self, + data, + data_type: Union[Type[bool], Type[float], Type[str], Type[datetime.datetime]], + date_format: str = None, + ): + self.dtype = data_type if not isinstance(data, Sequence): - raise TypeError("Series only supports creation using Sequence types") - - if isinstance(data[0], bool): - self.data = data - self.dtype = bool - elif isinstance(data[0], Number): - self.dtype = float - self.data = [float(i) for i in data] - elif isinstance(data[0], str): - try: - data = [datetime.datetime.strptime(i, FincalOptions.date_format) for i in data] - self.dtype = datetime.datetime - except ValueError: - raise TypeError( - "Series does not support string data type except dates.\n" - "Hint: Try setting the date format using FincalOptions.date_format" - ) - elif isinstance(data[0], (datetime.datetime, datetime.date)): - self.dtype = datetime.datetime - self.data = [_parse_date(i) for i in data] - else: - raise TypeError(f"Cannot create series object from {type(data).__name__} of {type(data[0]).__name__}") + raise TypeError("Series object can only be created using Sequence types") + + for i in data: + if not isinstance(i, data_type): + raise Exception("All arguments must be of the same type") + + if data_type == str: + data = [_parse_date(i, date_format) for i in data] + + self.data = data def __repr__(self): return f"{self.__class__.__name__}({self.data})" @@ -168,7 +164,7 @@ class Series(UserList): other = _parse_date(other) if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype): - gt = Series([i > other for i in self.data]) + gt = Series([i > other for i in self.data], bool) else: raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}") @@ -179,14 +175,14 @@ class Series(UserList): raise TypeError("< not supported for boolean series") if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype): - lt = Series([i < other for i in self.data]) + lt = Series([i < other for i in self.data], bool) else: raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}") return lt def __eq__(self, other): if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype): - eq = Series([i == other for i in self.data]) + eq = Series([i == other for i in self.data], bool) else: raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}") return eq @@ -234,14 +230,14 @@ class TimeSeriesCore(UserDict): if self._dates is None or len(self._dates) != len(self.data): self._dates = list(self.data.keys()) - return Series(self._dates) + return Series(self._dates, datetime.datetime) @property def values(self): if self._values is None or len(self._values) != len(self.data): self._values = list(self.data.values()) - return Series(self._values) + return Series(self._values, float) @property def start_date(self): @@ -326,9 +322,6 @@ class TimeSeriesCore(UserDict): raise TypeError(f"Invalid type {repr(type(key).__name__)} for slicing.") return item - def __len__(self): - return len(self.data) - def __iter__(self): self.n = 0 return self