<｜begin▁of▁sentence｜>### Instruction:
Given a histogram (2D list of numbers representing data distribution) generated from an iGraph property, how can you visualize this histogram using the MatplotlibPaletteDrawer in conjunction with matplotlib to generate a visual representation of the matrix (histogram data) on a provided Axes object?
### Response:
import igraph as ig
import matplotlib.pyplot as plt
from igraph.drawing import MatplotlibPaletteDrawer

# Assuming `matrix` is an instance of `igraph.Histogram`
# Typically it would be generated from some igraph graph properties

# Create a plot figure and an Axes object
fig, ax = plt.subplots()

# Instantiate the MatplotlibPaletteDrawer with the generated Axes
drawer = MatplotlibPaletteDrawer(ax)

# Draw the Histogram matrix on the Axes
matrix = ig.Histogram([[0, 1], [2, 3]]) # Example matrix
drawer.draw(matrix)

# Show the plot
plt.show()
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