import collections import pathlib # データ処理周り import numpy as np import pandas as pd from IPython.core.display import display # 可視化ライブラリ import matplotlib.pyplot as plt from matplotlib import cm # colormap import seaborn as sn…

d = access_features['count'].sort_values().reset_index() d.columns = ['base_index', 'count'] d = d.reset_index() from sklearn.cluster import KMeans from matplotlib import cm kmeans = KMeans(n_clusters=3) kmeans.fit(d[['count']]) d.loc[:, '…