`plotly.figure_factory`.create_dendrogram

plotly.figure_factory.create_dendrogram(X, orientation='bottom', labels=None, colorscale=None, distfun=None, linkagefun=<function <lambda>>, hovertext=None, color_threshold=None)

Function that returns a dendrogram Plotly figure object. This is a thin wrapper around scipy.cluster.hierarchy.dendrogram.

Parameters

X ((ndarray)) Matrix of observations as array of arrays
orientation ((str)) top, right, bottom, or left
labels ((list)) List of axis category labels(observation labels)
colorscale ((list)) Optional colorscale for the dendrogram tree. Requires 8 colors to be specified, the 7th of which is ignored. With scipy>=1.5.0, the 2nd, 3rd and 6th are used twice as often as the others. Given a shorter list, the missing values are replaced with defaults and with a longer list the extra values are ignored.
distfun ((function)) Function to compute the pairwise distance from the observations
linkagefun ((function)) Function to compute the linkage matrix from the pairwise distances
hovertext ((list[list])) List of hovertext for constituent traces of dendrogram clusters
color_threshold ((double)) Value at which the separation of clusters will be made

Example 1: Simple bottom oriented dendrogram

>>> from plotly.figure_factory import create_dendrogram

>>> import numpy as np

>>> X = np.random.rand(10,10)
>>> fig = create_dendrogram(X)
>>> fig.show()

Example 2: Dendrogram to put on the left of the heatmap

>>> from plotly.figure_factory import create_dendrogram

>>> import numpy as np

>>> X = np.random.rand(5,5)
>>> names = ['Jack', 'Oxana', 'John', 'Chelsea', 'Mark']
>>> dendro = create_dendrogram(X, orientation='right', labels=names)
>>> dendro.update_layout({'width':700, 'height':500}) 
>>> dendro.show()

Example 3: Dendrogram with Pandas

>>> from plotly.figure_factory import create_dendrogram

>>> import numpy as np
>>> import pandas as pd

>>> Index= ['A','B','C','D','E','F','G','H','I','J']
>>> df = pd.DataFrame(abs(np.random.randn(10, 10)), index=Index)
>>> fig = create_dendrogram(df, labels=Index)
>>> fig.show()