Source code for pyrfume.westeros
"""Module for interacting with unpublished data from Westeros"""
import pandas as pd
from scipy.spatial.distance import pdist, squareform
import pyrfume
[docs]def get_x_embeddings():
emb_raw = pyrfume.load_data("westeros/embeddings.csv")
emb = emb_raw[[x for x in list(emb_raw) if "emb_" in x]]
emb = emb.dropna()
return emb
[docs]def get_x_distances(embeddings):
emb = get_x_embeddings()
# Compute distance matrix.
# This will give basically the same low-D embedding as using
# raw high-dimensional embeddings does
dist = pdist(emb, metric="euclidean")
dist = squareform(dist)
distances = pd.DataFrame(dist, index=emb.index, columns=emb.index)
return distances