20 August 2020
Code
Blank array:
# Import library
import numpy as np
# Create blank array
x = np.array([])
# Output
print(x)
print(type(x))
print('Size:', np.size(x))
[]
<class 'numpy.ndarray'>
Size: 0
.
Empty blank array:
Note: An empty array is not empty. In example below, (0) is used to create blank.
# Import library
import numpy as np
# Create blank array
x = np.empty(0)
# Output
print(x)
print(type(x))
print('Size:', np.size(x))
[]
<class 'numpy.ndarray'>
Size: 0
.
Empty not blank array:
Note: An empty array is not empty. It has random values as shown below. The size of an array may be specified.
# Import library
import numpy as np
# Create empty array of size (2,2)
x = np.empty((2,2))
# Output
print(x)
print(type(x))
print('Size:', np.size(x))
[[ 2.40195438 -0.44702659]
[-1.31738935 -1.09601137]]
<class 'numpy.ndarray'>
Size: 4
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