Page 206 - Ai_V3.0_c11_flipbook
P. 206
Output:
[1 2 3 4 5]
[ 6 7 8 9 10]
2. Using np.zeros() to create an array of zeros
The zeros() creates arrays filled with zeros.
Program 33: To demonstrate the use of np.zeros() to create an array of zeros
import numpy as np
# Array of zeros
arr_zeros = np.zeros(5)
print(arr_zeros)
Output:
[0. 0. 0. 0. 0.]
3. Using np.ones() to create an array of ones
The ones() function creates arrays filled with ones.
Program 34: To demonstrate the use of np.ones() to create an array of ones
import numpy as np
# Array of ones
arr_ones = np.ones(5)
print(arr_ones)
Output:
[1. 1. 1. 1. 1.]
4. Using arange() to create an array
The arange() function in NumPy is used to create arrays with regularly incrementing values. The syntax of arange()
function is as follows:
numpy.arange(start, stop, step, dtype=None)
where,
• • start: The start of the interval (inclusive). If not specified, defaults to 0.
• • stop: The end of the interval (exclusive).
• • step: The spacing between values. If not specified, defaults to 1.
• • dtype: The data type of the array. If not specified, NumPy will infer the data type.
Program 35: To demonstrate the use of arange() to create an array
import numpy as np
# Array with a range of values
arr_range = np.arange(0, 10, 2)
print(arr_range)
Output:
[0 2 4 6 8]
204 Touchpad Artificial Intelligence (Ver. 3.0)-XI

