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• Creating two-dimensional array of 3 rows and 4 columns with all ones as value:
[1]: import numpy as np
a = np.ones((3,4))
print(a)
[[1. 1. 1. 1.]
[1. 1. 1. 1.]
[1. 1. 1. 1.]]
• Creating two-dimensional array of 3 rows and 3 columns with all zeroes as value:
[1]: import numpy as np
a = np.zeros((3,3))
print(a)
[[0. 0. 0.]
[0. 0. 0.]
[0. 0. 0.]]
• Creating two-dimensional array of 3 rows and 4 columns with all six as value:
[1]: import numpy as np
a = np.full((3,4),6)
print(a)
[[6 6 6 6]
[6 6 6 6]
[6 6 6 6]]
• We can create two-dimensional (2-D) arrays by passing nested lists to the array() function.
[1]: import numpy as np
a = np.array([[15,'Pranay',96],[16,'Pranya',92]])
print(a)
[['15' 'Pranay' '96']
['16' 'Pranya' '92']]
Using Mathematical Operators on Integer Array
Following table shows the use of mathematical operators on integer array:
Operator Example
**
[1]: import numpy as np
(Exponential) marks1 = np.array([1,2,3,4])
marks2=np.array([2,1,2,1])
print(marks1**marks2)
print("marks1 to the power of 3 is:",marks1**3)
[1 2 9 4]
2 marks extra : [ 1 8 27 64]
288 Artificial Intelligence Play (Ver 1.0)-X

