<｜begin▁of▁sentence｜>### Instruction:
As an organic farmer, you are carefully monitoring the growth and health of your crops. Imagine that you have a farm with a connected network of vegetable plots, where each vegetable plot represents a node and the water channels connecting the plots represent the edges. You have recorded the connections between the plots as follows: [(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)]. Now, you would like to visualize the distribution of how many connections each plot has. To do this, you are interested in using the degree distribution function provided by the networkx library to generate a histogram showing the frequency of different degrees among the plots.
### Response:
import igraph as ig

# Create a graph
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)])

# Calculate degree distribution
bin_width = 1  # The width of each histogram bin
degree_distribution = g.degree_distribution(bin_width=bin_width)

# Print the distribution
print(degree_distribution)
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