Source code for rtctools.optimization.timeseries

from typing import Union

import casadi as ca

import numpy as np


[docs]class Timeseries: """ Time series object, bundling time stamps with values. """
[docs] def __init__(self, times: np.ndarray, values: Union[float, np.ndarray, list, ca.DM]): """ Create a new time series object. :param times: Iterable of time stamps. :param values: Iterable of values. """ self.__times = times if isinstance(values, ca.DM): # Note that a ca.DM object has no __iter__ attribute, which we # want it to have. We also want it to store it as a _flat_ array, # not a 2-D column vector. assert values.shape[0] == 1 or values.shape[1] == 1, "Only 1D ca.DM objects supported" values = values.toarray().ravel() elif isinstance(values, (np.ndarray, list)) and len(values) == 1: values = values[0] if hasattr(values, '__iter__'): self.__values = np.array(values, dtype=np.float64, copy=True) else: self.__values = np.full_like(times, values, dtype=np.float64)
@property def times(self) -> np.ndarray: """ Array of time stamps. """ return self.__times @property def values(self) -> np.ndarray: """ Array of values. """ return self.__values def __neg__(self) -> 'Timeseries': return self.__class__(self.times, -self.values) def __repr__(self) -> str: return 'Timeseries({}, {})'.format(self.__times, self.__values) def __eq__(self, other: "Timeseries") -> bool: return (np.array_equal(self.times, other.times) and np.array_equal(self.values, other.values))