Heatmap cluster dendrogram plotter.

`heatmapcluster` is a python library for generating a clustered heatmap
with dendrograms plotted along with the heatmap, such as the following:

This is prototype-quality software. The documentation is sparse, and the API will likely change.

Plots are generated with matplotlib (http://matplotlib.org/). To use the package, numpy, scipy and matplotlib must be installed.

`setuptools` is required to install the package using `setup.py`.

## Example

This is `heatmapcluster_demo.py`. Most of the code is the function `make_data`,
which generates an array of data for the demonstration. The main part of the
demo is the last three statements of the script. This script generates the plot
shown above:

import numpy as np import matplotlib.pyplot as plt from heatmapcluster import heatmapcluster def make_data(size, seed=None): if seed is not None: np.random.seed(seed) s = np.random.gamma([7, 6, 5], [6, 8, 6], size=(size[1], 3)).T i = np.random.choice(range(len(s)), size=size[0]) x = s[i] t = np.random.gamma([8, 5, 6], [3, 3, 2.1], size=(size[0], 3)).T j = np.random.choice(range(len(t)), size=size[1]) x += 1.1*t[j].T x += 2*np.random.randn(*size) row_labels = [('R%02d' % k) for k in range(x.shape[0])] col_labels = [('C%02d' % k) for k in range(x.shape[1])] return x, row_labels, col_labels x, row_labels, col_labels = make_data(size=(64, 48), seed=123) h = heatmapcluster(x, row_labels, col_labels, num_row_clusters=3, num_col_clusters=0, label_fontsize=6, xlabel_rotation=-75, cmap=plt.cm.coolwarm, show_colorbar=True, top_dendrogram=True) plt.show()

## Download Files

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File Name & Checksum SHA256 Checksum Help | Version | File Type | Upload Date |
---|---|---|---|

heatmapcluster-0.1.2-py2.py3-none-any.whl (6.3 kB) Copy SHA256 Checksum SHA256 | py2.py3 | Wheel | Jan 14, 2017 |