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def plot _ distribution ( arr ) : # Define bins unit _ bins = np . array ( [ # Plot the data arr

def plot
_
distribution
(
arr
)
:
# Define bins
unit
_
bins
=
np
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array
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# Plot the data arr using unit
_
bins, assign the plot to histplot
histplot
=
.
.
.
return histplot
faces
=
range
(
1
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histplot
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plot
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distribution
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faces
)Question 1a
Define a function plot_distribution that takes an array of numbers (integers or decimals) and draws the histogram of the distribution using unit bins centered at the integers and white edges for the bars. The histogram should be drawn to the density scale, and the opacity should be 70%. The left-most bar should be centered at the smallest integer in the range of the array and the right-most bar at the largest integer in the range of the array. The display does not need to include the printed proportions and bins. No titles or labels are required for this question. For grading purposes, assign your plot to histplot.
If you have trouble defining the function, go back and carefully read all the lines of code that resulted in the probability histogram of the number of spots on one roll of a die. Pay special attention to the bins.
Hint:
See plt.hist() documentation.
What is the left endpoint of the left-most bar? What is the right endpoint of the right-most bar? You may find min(), max(), and round() helpful.
If you implement the function correctly, you should get a plot like this:

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