expanded comparison for series, implemented gt in TSC
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@ -2,6 +2,7 @@ from __future__ import annotations
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import datetime
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import inspect
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import warnings
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from collections import UserList
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from dataclasses import dataclass
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from numbers import Number
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@ -99,6 +100,11 @@ class _IndexSlicer:
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return self.parent.__class__(item, self.parent.frequency.symbol)
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def __setitem__(self, key, value):
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raise NotImplementedError(
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"iloc cannot be used for setting a value as value will always be inserted in order of date"
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)
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class Series(UserList):
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"""Container for a series of objects, all objects must be of the same type"""
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@ -150,7 +156,13 @@ class Series(UserList):
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if isinstance(other, (str, datetime.datetime, datetime.date)):
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other = _parse_date(other)
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if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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if isinstance(other, Series):
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if len(self) != len(other):
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raise ValueError("Length of Series must be same for comparison")
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gt = Series([j > other[i] for i, j in enumerate(self)], "bool")
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elif self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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gt = Series([i > other for i in self.data], "bool")
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else:
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raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
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@ -164,7 +176,13 @@ class Series(UserList):
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if isinstance(other, (str, datetime.datetime, datetime.date)):
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other = _parse_date(other)
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if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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if isinstance(other, Series):
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if len(self) != len(other):
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raise ValueError("Length of Series must be same for comparison")
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ge = Series([j >= other[i] for i, j in enumerate(self)], "bool")
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elif self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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ge = Series([i >= other for i in self.data], "bool")
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else:
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raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
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@ -178,7 +196,13 @@ class Series(UserList):
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if isinstance(other, (str, datetime.datetime, datetime.date)):
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other = _parse_date(other)
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if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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if isinstance(other, Series):
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if len(self) != len(other):
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raise ValueError("Length of Series must be same for comparison")
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lt = Series([j < other[i] for i, j in enumerate(self)], "bool")
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elif self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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lt = Series([i < other for i in self.data], "bool")
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else:
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raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
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@ -191,7 +215,13 @@ class Series(UserList):
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if isinstance(other, (str, datetime.datetime, datetime.date)):
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other = _parse_date(other)
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if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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if isinstance(other, Series):
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if len(self) != len(other):
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raise ValueError("Length of Series must be same for comparison")
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le = Series([j <= other[i] for i, j in enumerate(self)], "bool")
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elif self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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le = Series([i <= other for i in self.data], "bool")
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else:
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raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
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@ -201,13 +231,20 @@ class Series(UserList):
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if isinstance(other, (str, datetime.datetime, datetime.date)):
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other = _parse_date(other)
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if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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if isinstance(other, Series):
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if len(self) != len(other):
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raise ValueError("Length of Series must be same for comparison")
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eq = Series([j == other[i] for i, j in enumerate(self)], "bool")
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elif self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
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eq = Series([i == other for i in self.data], "bool")
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else:
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raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
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return eq
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@Mapping.register
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class TimeSeriesCore:
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"""Defines the core building blocks of a TimeSeries object"""
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@ -239,7 +276,7 @@ class TimeSeriesCore:
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self.data = dict(ts_data)
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if len(self.data) != len(ts_data):
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print("Warning: The input data contains duplicate dates which have been ignored.")
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warnings.warn("The input data contains duplicate dates which have been ignored.")
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self.frequency: Frequency = getattr(AllFrequencies, frequency)
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self.iter_num: int = -1
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self._dates: list = None
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@ -364,8 +401,38 @@ class TimeSeriesCore:
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raise TypeError(f"Invalid type {repr(type(key).__name__)} for slicing.")
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def __gt__(self, other):
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if isinstance(other, Number):
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data = {k: v > other for k, v in self.data.items()}
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if isinstance(other, TimeSeriesCore):
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if self.dates != other.dates:
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raise ValueError(
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"Only objects with same set of dates can be compared.\n"
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"Hint: use TimeSeries.sync() method to sync dates of two TimeSeries objects."
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)
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data = {dt: val > other[dt][1] for dt, val in self.data.items()}
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if isinstance(other, Series):
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if Series.dtype != float:
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raise TypeError("Only Series of type float can be used for comparison")
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if len(self) != len(other):
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raise ValueError("Length of series does not match length of object")
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data = {dt: val > other[i] for i, (dt, val) in enumerate(self.data.items())}
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return self.__class__(data, frequency=self.frequency.symbol)
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@date_parser(1)
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def __setitem__(self, key: str | datetime.datetime, value: Number) -> None:
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key = _parse_date(key)
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if not isinstance(value, Number):
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raise TypeError("Only numerical values can be stored in TimeSeries")
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if key in self.data:
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self.data[key] = value
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else:
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self.data.update({key: value})
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self.data = dict(sorted(self.data.items()))
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