![4 What are the outputs of the following codes? import numpyas np A = np.arange(11)**2 B = A[2:5] C = A[ :-1] D = A[] D[: 5:2]](http://img.homeworklib.com/questions/252ea630-bc81-11ea-8de3-152bcfba3bed.png?x-oss-process=image/resize,w_560)
Homework Answers
Given Code:
import numpy as np
A = np.arange(11)**2
B = A[2:5]
C = A[::-1]
D = A[:]
D[:5:2] = 200
for i in A:
print(i)
print(np.sqrt(i))
Code Image:
Output Image:
Explanation:
A = np.arange(11)**2 => A = [ 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
B = A[2:5] => B = [4, 9, 16]
C = A[::-1] => C = [100, 81, 64, 49, 36, 25, 16, 9, 4, 1, 0]
D = A[:] => D = [ 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
D[:5:2] = 200 => D = [ 200, 1, 200, 9, 200, 25, 36, 49, 64, 81, 100], it will also change the A as it is pointing to same data and rest is what is printed in the output.
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1
import matplotlib.pyplot as plt
2
import numpy as np
3
4
abscissa = np.arange(20)
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, [
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blue
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,
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])
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7
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9
def __init__(self,
*
args,
**
options):
10
#TO DO: IMPLEMENT FUNCTION
11
pass
12
13
def draw(self):
14
plt.plot(abscissa,self.line(abscissa))
15
16
def get_line(self):
17
return "y = {0:.2f}x + {1:.2f}".format(self.slope,
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19
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