3048096493b85388ca00fc87c052e99767bddfc3,examples/plot_digits.py,,,#,24

Before Change

// Create images for a custom tooltip array
tooltip_s = []
for image_data in data:
    output = io.BytesIO()
    img = toimage(image_data.reshape((8, 8)))  // Data was a flat row of 64 "pixels".
    img.save(output, format="PNG")
    contents = output.getvalue()
    img_encoded = base64.b64encode(contents)

After Change

// Create images for a custom tooltip array
tooltip_s = []
for image_data in data:
    with io.BytesIO() as output:
        img = Image.fromarray(image_data.reshape((8, 8)), "L")
        img.save(output, "PNG")
        contents = output.getvalue()
        img_encoded = base64.b64encode(contents)
        img_tag = <img src="data:image/png;base64,{}">.format(img_encoded.decode("utf-8"))
        tooltip_s.append(img_tag)

tooltip_s = np.array(tooltip_s)  // need to make sure to feed it as a NumPy array, not a list

// Initialize to use t-SNE with 2 components (reduces data to 2 dimensions). Also note high overlap_percentage.
mapper = km.KeplerMapper(verbose=2)

Instances