master-thesis/RecipeAnalysis/AdjacencyMatrix.py
2019-09-05 12:03:01 +02:00

92 lines
2.1 KiB
Python

#!/usr/bin/env python3
# coding: utf-8
# # Adjacency Matrix
import numpy as np
from scipy.sparse import csr_matrix, lil_matrix, coo_matrix
class adj_matrix(object):
def __init__(self, symmetric_indices=False):
self._sym = symmetric_indices
if not symmetric_indices:
self._x_labels = []
self._y_labels = []
self._x_label_index={}
self._y_label_index={}
else:
self._labels = []
self._label_index={}
self._x = []
self._y = []
self._data = []
self._mat = None
def _get_ix(self, label):
i = self._x_label_index.get(label)
if i is None:
i = len(self._x_labels)
self._x_labels.append(label)
self._x_label_index[label] = i
return i
def _get_iy(self, label):
i = self._y_label_index.get(label)
if i is None:
i = len(self._y_labels)
self._y_labels.append(label)
self._y_label_index[label] = i
return i
def _get_i(self, label):
i = self._label_index.get(label)
if i is None:
i = len(self._labels)
self._labels.append(label)
self._label_index[label] = i
return i
def add_entry(self, x, y, data):
if self._sym:
ix = self._get_i(x)
iy = self._get_i(y)
else:
ix = self._get_ix(x)
iy = self._get_iy(y)
self._x.append(ix)
self._y.append(iy)
self._data.append(data)
def compile_to_mat(self):
if self._sym:
sx = len(self._labels)
sy = len(self._labels)
else:
sx = len(self._x_labels)
sy = len(self._y_labels)
self._mat = coo_matrix((self._data, (self._x, self._y)), shape=(sx,sy))
return self._mat
def get_csr(self):
return self.compile_to_mat().tocsr()
def get_labels(self):
if self._sym:
return self._labels
return self._x_labels, self._y_labels