<｜begin▁of▁sentence｜>### Instruction:
As a data analyst, you may be working on a project where you need to visualize data using a gradient palette transitioning from blue to green. In order to extract 5 distinct colors from this palette for your visualization, you may need to explore techniques for color extraction and manipulation. These distinct colors will help convey subtle variations in the data, adding depth and clarity to your visual representation.

This could be achieved using the colorlover library in Python, which provides color palettes for data visualization, including gradients transitioning between specific colors.
### Response:
from igraph.drawing.colors import AdvancedGradientPalette

# Create a palette with a gradient from blue to green
palette = AdvancedGradientPalette(['blue', 'green'])

# Get 5 colors from this gradient palette
colors = palette.get_many(5)

# Print out the colors
for color in colors:
    print(color)
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