1.Convert the 1-D array to 3-D array
a = np.array([x for x in range(32)])
Answer:
print(o)
Output:
array([[[ 0, 1, 2, 3, 4, 5, 6, 7],
[ 8, 9, 10, 11, 12, 13, 14, 15]],
[[16, 17, 18, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 29, 30, 31]]])
2.Convert the value in the array to appropriate data type
a = np.array([[7.2, 5.4, 9.3],
[3.8, 6.7, 8.5]])
Answer:
print(o)
Output:
[[7 5 9]
[3 6 8]]
3.Extract value in between 7 to 15 from the given array
a = np.array([2, 6, 1, 9, 10, 3, 27])
Answer:
print(o)
Output:
[ 8 12 9 11]
1.
o = a.reshape(4,8)
print(o)
2.
o = a.astype('int32')
print(o)
3.
o = []
def extract_values(a):
for element in a:
if (element > 7) and (element < 15):
o.append(element)
return np.array(o)
extract_values(a)
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