[Python] Rendering image in jupyter notebook using SedonaUtils, display_image takes long time

[Imbruced]

calling

class SedonaUtils:
    @classmethod
    def display_image(cls, df):
        from IPython.display import HTML, display

        pdf = SedonaMapUtils.__convert_to_gdf_or_pdf__(df, rename=False)
        display(HTML(pdf.to_html(escape=False)))

In the jupyter notebook on the raster DataFrame, running the display_image is not finishing for a raster 1400x800

replacing this with

from IPython.display import Image, display

png_frame = raster \
    .selectExpr("RS_AsPNG(rast)")

image_data = png_frame.head()[0]

display(Image(image_data))

We could call the RS_AsPNG and the Image function or utilize arrow on bytes

cc: @jiayuasu

[github-actions]

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[jiayuasu]

The real problem isn't RS_AsImage being slow. It's that the display image code has no raster detection at all

If the user sends a DF without using RS_AsImage, it will hang forever. I will try to improve this