INNER CODE UNIT · Python

update_samples_or_dataset

burkesquires/python_biologist · 06_data_vis_python/bokeh/server/app/clustering/main.py:172

def update_samples_or_dataset(attrname, old, new):
    global X, y

    dataset = dataset_select.value
    algorithm = algorithm_select.value
    n_clusters = int(clusters_slider.value)
    n_samples = int(samples_slider.value)

    X, y = get_dataset(dataset, n_samples)
    X, y_pred = clustering(X, algorithm, n_clusters)
    colors = [spectral[i] for i in y_pred]

    source.data = dict(colors=colors, x=X[:, 0], y=X[:, 1])

algorithm_select.on_change('value', update_algorithm_or_clusters)
clusters_slider.on_change('value_throttled', update_algorithm_or_clusters)

dataset_select.on_change('value', update_samples_or_dataset)

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