Esempio n. 1
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def histogram_view(ins_hist, x_lab, y_lab, outs_viz=None):
    loader = Loader()
    _shape_, ticks_vec, hist_arr = loader.load_multi_histogram(ins_hist)
    csr_mat = csr_matrix((hist_arr[:, -1], (hist_arr[:, 0], hist_arr[:, 1])),
                         shape=_shape_,
                         dtype=int)
    plot_heatmap(ticks_vec[1],
                 ticks_vec[0],
                 csr_mat.toarray(),
                 xlabel=x_lab,
                 ylabel=y_lab,
                 outfn=outs_viz)
    # plot_heatmap_graphlab_pgrk(ticks_vec[1], ticks_vec[0], csr_mat.toarray(), xlabel=x_lab, ylabel=y_lab, outfn=outs_viz)
    # plot_heatmap_2discretes(ticks_vec[1], ticks_vec[0], csr_mat.toarray(), xlabel=x_lab, ylabel=y_lab, outfn=outs_viz)
    print('done!')
Esempio n. 2
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def histogram_view(histogram_infn, xlabel, ylabel, outfn=None):
    loader = Loader()
    _shape_, ticks_vec, hist_arr = loader.load_multi_histogram(histogram_infn)
    csr_mat = csr_matrix((hist_arr[:, -1], (hist_arr[:, 0], hist_arr[:, 1])),
                         shape=_shape_,
                         dtype=int)
    plot_heatmap(ticks_vec[1],
                 ticks_vec[0],
                 csr_mat.toarray(),
                 xlabel=xlabel,
                 ylabel=ylabel,
                 outfn=outfn)
    # plot_heatmap_graphlab_pgrk(ticks_vec[1], ticks_vec[0], csr_mat.toarray(), xlabel=xlabel, ylabel=ylabel, outfn=outfn)
    # plot_heatmap_2discretes(ticks_vec[1], ticks_vec[0], csr_mat.toarray(), xlabel=xlabel, ylabel=ylabel, outfn=outfn)
    print('Histogram view done!')
Esempio n. 3
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                          verbose=False,
                          outfn=os.path.join(outpath, tiny_blobs))

    print("Refine tree structure.")
    print("a). tree contract")
    tree.tree_contract(VERBOSE)
    tree.save_leveltree(os.path.join(outpath, contracttree))

    print("b). tree pruned")
    tree.tree_prune(alpha=0.8, verbose=VERBOSE)
    tree.save_leveltree(os.path.join(outpath, prunetree))

    print("c). tree node expand")
    tree.tree_node_expand(VERBOSE)
    tree.save_leveltree(os.path.join(outpath, refinetree))

    tree.dump()


if __name__ == '__main__':
    path = '../output/'
    histogram_infn = 'histogram.out'

    loader = Loader()
    print("load data")
    shape, ticks_vec, hist_arr = loader.load_multi_histogram(
        os.path.join(path, histogram_infn))
    mode = len(shape)
    print("Info: mode:{} shape:{}".format(mode, shape))
    waterleveltree(hist_arr, path)
    print("done!")