skbio.stats.distance.DistanceMatrix.plot¶

DistanceMatrix.plot(cmap=None, title='')[source]¶

Creates a heatmap of the dissimilarity matrix

State: Experimental as of 0.4.0.

Parameters:	cmap: str or matplotlib.colors.Colormap, optional Sets the color scheme of the heatmap If None, defaults to the colormap specified in the matplotlib rc file. title: str, optional Sets the title label of the heatmap (Default is blank)
Returns:	matplotlib.figure.Figure Figure containing the heatmap and colorbar of the plotted dissimilarity matrix.

Examples

Define a dissimilarity matrix with five objects labeled A-E:

>>> from skbio.stats.distance import DissimilarityMatrix
>>> dm = DissimilarityMatrix([[0, 1, 2, 3, 4], [1, 0, 1, 2, 3],
...                           [2, 1, 0, 1, 2], [3, 2, 1, 0, 1],
...                           [4, 3, 2, 1, 0]],
...                          ['A', 'B', 'C', 'D', 'E'])

Plot the dissimilarity matrix as a heatmap:

>>> fig = dm.plot(cmap='Reds', title='Example heatmap')

(Source code, png)