Number of occurrences of rolls 9. in following requirements. • The title is "Histogram tuted by the number o • The x-axis is labelled a • The y-axis is labelled a • The bin edges (along t For example, if rolls array 6),[1, 5, 2, 6, 2, 2, 5, 6, 3, 3]], y 3.0 25 2.0 15 10 0.5 00
Number of occurrences of rolls 9. in following requirements. • The title is "Histogram tuted by the number o • The x-axis is labelled a • The y-axis is labelled a • The bin edges (along t For example, if rolls array 6),[1, 5, 2, 6, 2, 2, 5, 6, 3, 3]], y 3.0 25 2.0 15 10 0.5 00
Computer Networking: A Top-Down Approach (7th Edition)
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![Number of occurrences of rolls
in
b) [6) round hist (rolls array):
Given a 2-dimensional Numpy array rolls_array, write a function round hist ()
that display a histogram for the sum by columns of the given rolls array with the
following requirements.
• The title is "Histogram of two-dice rolls (i rounds)", where i should be substi-
tuted by the number of columns in rolls array
• The x-axis is labelled as "Sum of the two dice"
• The y-axis is labelled as "Number of occurrences of rolls"
• The bin edges (along the x-axis) range from 2 to 12
For example, if rolls array is a 2-dimensional Numpy array of ([5, 6, 2, 1, 6, 5, 4, 6, 6,
6],[1, 5, 2, 6, 2, 2, 5, 6, 3, 3]], your function should display
Histogram of two-dice rolls (10 rounds)
3.0
2.5
20
15-
10
05
00
2.
8
10
12
Sum of the two dice](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1bc6a0e5-2ee6-4288-975e-2cc10c81a0cb%2F702a1e57-0e9c-448d-8650-15b1e49a1c2a%2Fqbzwopl_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Number of occurrences of rolls
in
b) [6) round hist (rolls array):
Given a 2-dimensional Numpy array rolls_array, write a function round hist ()
that display a histogram for the sum by columns of the given rolls array with the
following requirements.
• The title is "Histogram of two-dice rolls (i rounds)", where i should be substi-
tuted by the number of columns in rolls array
• The x-axis is labelled as "Sum of the two dice"
• The y-axis is labelled as "Number of occurrences of rolls"
• The bin edges (along the x-axis) range from 2 to 12
For example, if rolls array is a 2-dimensional Numpy array of ([5, 6, 2, 1, 6, 5, 4, 6, 6,
6],[1, 5, 2, 6, 2, 2, 5, 6, 3, 3]], your function should display
Histogram of two-dice rolls (10 rounds)
3.0
2.5
20
15-
10
05
00
2.
8
10
12
Sum of the two dice
![: # Part b) lo points)
def rolls hist (rolls array) :
Produce a histogran fron the sun by coloum of a given 2-dinensional Nunpy array
vith the folloving requirenents
Title: Histogran of two-dice rolls (i rounds),
where i should be substituted by the nunber of colunns in rolla array
x-axis label: Sun of the two dice, and the
y-axis label: Nunber of occurrences of rolls
Bin edges: range fron 2 to 12.
Color of the bar: red
Inputs: rolls_array (2-dinensional Numpy array)
Return: None
# insert your code here, use return to end your funcri on
( 1: # testing:
test rolls np. array ([[5, 2, 6, 4. 6, 1, 2, 2, 5, 31, [0, 1, 5. 6. 6, 5, 6. 2, 6, 3]])
print (rolls_hist (test_rolls))
I: F testing:
rand. seed (2021)
print (rolls hist (roll_dice (5000) ))](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1bc6a0e5-2ee6-4288-975e-2cc10c81a0cb%2F702a1e57-0e9c-448d-8650-15b1e49a1c2a%2Fe1ax3v_processed.jpeg&w=3840&q=75)
Transcribed Image Text:: # Part b) lo points)
def rolls hist (rolls array) :
Produce a histogran fron the sun by coloum of a given 2-dinensional Nunpy array
vith the folloving requirenents
Title: Histogran of two-dice rolls (i rounds),
where i should be substituted by the nunber of colunns in rolla array
x-axis label: Sun of the two dice, and the
y-axis label: Nunber of occurrences of rolls
Bin edges: range fron 2 to 12.
Color of the bar: red
Inputs: rolls_array (2-dinensional Numpy array)
Return: None
# insert your code here, use return to end your funcri on
( 1: # testing:
test rolls np. array ([[5, 2, 6, 4. 6, 1, 2, 2, 5, 31, [0, 1, 5. 6. 6, 5, 6. 2, 6, 3]])
print (rolls_hist (test_rolls))
I: F testing:
rand. seed (2021)
print (rolls hist (roll_dice (5000) ))
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