dendrogram-ts 0.1.2

Plotting time-series graphs in scipy's dendrogram

Scipy’s dendrogram for agglomerative clustering requires extensive customizations to make it more informative. This package wraps scipy’s dendrogram with two customizations:

• Timeseries graph at the side

• Distance labels and cluster split points

Installation

pip install dendrogram-ts

Examples

Plot by Maximum Clusters

from dendrogram_ts import maxclust_draw

plt.style.use('seaborn-whitegrid')
plt.figure(figsize=(8,5));

maxclust_draw(df, 'ward', 'euclidean', max_cluster=10, ts_hspace=2)

Plot by Color Threshold

from dendrogram_ts import colorclust_draw
import matplotlib as mpl

mpl.rcParams['lines.linewidth'] = 1
plt.style.use('seaborn-white')
plt.figure(figsize=(12,10))

colorclust_draw(df, method='ward', metric='euclidean', color_threshold=5200, ts_hspace=1)

Plot All Clusters

from dendrogram_ts import allclust_draw

plt.style.use('seaborn-whitegrid')
plt.figure(figsize=(12,10))

allclust_draw(df, 'ward', 'euclidean', ts_hspace=5)