zhicongchen

def smart_procrustes_align_gensim(base_embed, other_embed, words=None):
    """
    Original script: https://gist.github.com/quadrismegistus/09a93e219a6ffc4f216fb85235535faf
    Procrustes align two gensim word2vec models (to allow for comparison between same word across models).
    Code ported from HistWords <https://github.com/williamleif/histwords> by William Hamilton <wleif@stanford.edu>.
        
    First, intersect the vocabularies (see `intersection_align_gensim` documentation).
    Then do the alignment on the other_embed model.
    Replace the other_embed model's syn0 and syn0norm numpy matrices with the aligned version.
    Return other_embed.

zhicongchen

from matplotlib import font_manager
fontprop = font_manager.FontProperties(fname='path\to\font\msyh.ttf')

plt.legend(prop=fontprop)
plt.xlabel('XXX',fontproperties=fontprop)
plt.ylabel('XXX',fontproperties=fontprop)
plt.title('XXX',fontproperties=fontprop)

zhicongchen

# radius of gyration

from collections import Counter
import math

def radius_of_gyration(positions):
    """
    position : tuple
        A tuple (lat, lon) with the latitude and longitude of the antenna,
        encoded as floating point numbers.

zhicongchen

def plotDegreeDistribution(G):
    from collections import defaultdict
    import numpy as np
    import matplotlib.pyplot as plt
    %matplotlib inline
    degs = defaultdict(int)
    for i in G.degree().values(): degs[i]+=1
    items = sorted ( degs.items () )
    x, y = np.array(items).T
    y = [float(i) / sum(y) for i in y]