Python matplotlib.offsetbox() Examples

The following are 1 code examples for showing how to use matplotlib.offsetbox(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

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Example 1
Project: artificio   Author: ankonzoid   File:    License: Apache License 2.0 5 votes vote down vote up
def plot_tsne(X, imgs, outFile):

    def imscatter(x, y, images, ax=None, zoom=1.0):
        if ax is None:
            ax = plt.gca()
        x, y = np.atleast_1d(x, y)
        artists = []
        for x0, y0, img0 in zip(x, y, images):
            im = OffsetImage(img0, zoom=zoom)
            ab = AnnotationBbox(im, (x0, y0), xycoords='data', frameon=True)
        ax.update_datalim(np.column_stack([x, y]))
        return artists

    def plot_embedding(X, imgs, title=None):
        x_min, x_max = np.min(X, 0), np.max(X, 0)
        X = (X - x_min) / (x_max - x_min)

        ax = plt.subplot(111)
        for i in range(X.shape[0]):
            plt.text(X[i, 0], X[i, 1], ".", fontdict={'weight': 'bold', 'size': 9})
        if hasattr(offsetbox, 'AnnotationBbox'):
            imscatter(X[:,0], X[:,1], imgs, zoom=0.3, ax=ax)

        plt.xticks([]), plt.yticks([])
        if title is not None:
            plt.title(title, fontsize=18)

    tsne = manifold.TSNE(n_components=2, init='pca', random_state=0)
    X_tsne = tsne.fit_transform(X)
    plot_embedding(X_tsne, imgs, "t-SNE embeddings")
    if outFile is None:
        plt.savefig(outFile, bbox_inches='tight')

# Plot image reconstructions