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How to create an empty and a full NumPy array?
  • Last Updated : 01 Oct, 2020

Sometimes there is a need to create an empty and full array simultaneously for a particular question. In this situation, we have two functions named as numpy.empty() and numpy.full() to create an empty and full arrays.

Syntax:

numpy.full(shape, fill_value, dtype = None, order = ‘C’)
numpy.empty(shape, dtype = float, order = ‘C’) 

Example 1: 

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# python program to create
# Empty and Full Numpy arrays
  
import numpy as np
  
  
# Create an empty array
empa = np.empty((3, 4), dtype=int)
print("Empty Array")
print(empa)
  
# Create a full array
flla = np.full([3, 3], 55, dtype=int)
print("\n Full Array")
print(flla)

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Output:



In the above example, we create an empty array of 3X4 and full array of 3X3 of INTEGER type.

Example 2: 

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# python program to create
# Empty and Full Numpy arrays
  
import numpy as np
  
  
# Create an empty array
empa = np.empty([4, 2])
print("Empty Array")
print(empa)
  
# Create a full array
flla = np.full([4, 3], 95)
print("\n Full Array")
print(flla)

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Output:

In the above example, we create an empty array of 4X2 and full array of 4X3 of INTEGER and FLOAT type.

Example 3:

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# python program to create 
# Empty and Full Numpy arrays
  
import numpy as np
  
# Create an empty array
empa =  np.empty([3,3]) 
print("Empty Array")
print(empa)
  
# Create a full array
flla = np.full([5,3], 9.9)
print("\n Full Array")
print(flla)

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Output:

In the above example, we create an empty array of 3X3 and full array of 5X3 of FLOAT type.

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