1
0
Fork 0
Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
This repo is archived. You can view files and clone it, but cannot push or open issues/pull-requests.
PyCTBN/main_package/classes/trajectory.py

34 lines
940 B

import pandas as pd
import numpy as np
class Trajectory():
"""
Rappresenta una traiettoria come un numpy_array contenente n-ple (indx, T_k,S_i,.....,Sj)
Offre i metodi utili alla computazione sulla struttura stessa.
Una Trajectory viene costruita a partire da una lista di numpyarray dove ogni elemento rappresenta una colonna
della traj
:actual_trajectory: il numpy_array contenente la successione di n-ple (indx, T_k,S_i,.....,Sj)
"""
def __init__(self, list_of_columns):
self.actual_trajectory = np.array(list_of_columns[1:], dtype=np.int).T
self.times = np.array(list_of_columns[0], dtype=np.float)
def get_trajectory(self):
return self.actual_trajectory[:,:4]
def get_complete_trajectory(self):
return self.actual_trajectory
def get_times(self):
return self.times
def size(self):
return self.actual_trajectory.shape[0]