Clustergram not reordering heat-map rows

Describe the bug Clustergram is not using the order provided by the clustering method and dendrogram to display the heat-map.

To Reproduce Steps to reproduce the behavior:

import numpy as np
import dash_bio
from plotly.offline import iplot, init_notebook_mode

init_notebook_mode()
data = np.array([[1,1,1,1], 
        [3,3,3,3],
        [1,1,1,1],
        [3,3,3,3],
        [1,1,1,1],
        [3,3,3,3]])

iplot(dash_bio.Clustergram(
    data=np.array(data),
    center_values=False
))

Expected behavior A clear and concise description of what you expected to happen. Heat-map rows reordering based on the clustering result.

Screenshots If applicable, add screenshots to help explain the issue.

Python version: [e.g., 3.7.2] 3.7.4 Python environment (all installed packages in your current environment):

Additional context Add any other context about the problem here.

[mkcor]

I have finally found the bug, yay! Fixed in 611a1b358b66694a047e9ddafbf9ea7f9562eea1. PR coming soon…

[plpla]

Hi @mkcor , I would expect the result to be highly similar to Searborn Clustermap since they are the same type of figure. Using the data from my very basic example, the rows with identical values (ones or threes) should be next to each other. See the example below.

import seaborn as sns
import numpy as np

data = np.array([[1,1,1,1], 
        [3,3,3,3],
        [1,1,1,1],
        [3,3,3,3],
        [1,1,1,1],
        [3,3,3,3]])

sns.clustermap(data, cmap="mako")

To be clear, the clusering in the Clustergram works as the dendrogram on the left side shows 2 groups. Although the rows in the heat-map are not reordered to represent these clusters. In the end, I would expect to get a block of red rows and a block of green rows.