6 ways to fill NumPy array with all same values

import numpy as np

 
nparr = np.empty((2,3))

nparr[:] = 15
print(nparr,'\n')

nparr = 15 * np.ones(shape=(2,3))

#assign same float value to Numpy array
nparr = nparr.astype(np.float)
nparr[:] = 0.5

print('float type array:\n',nparr)

Output

[[15. 15. 15.]
 [15. 15. 15.]] 

float type array:
 [[0.5 0.5 0.5]
 [0.5 0.5 0.5]]

2. Fill NumPy array with all same values using full()

The numpy. full() return an array of given shapes after filling the same values in all elements of the array. In this Python program, we have created an array of shapes (2,3) and filled it with value15.

Python program to fill NumPy array with all same values using full()

import numpy as np


nparr = np.full((2,3), 15)



print(nparr)

Output

[[15 15 15]
 [15 15 15]]

3. Fill NumPy array with all same values using fill()

The numpy. ndarray.fill() function Fill the array with a scalar value. In this python program, we have created a numpy empty array of shapes (2,3) and by using the fill() function filled it with value 15.

Python Program to Fill NumPy array with all same values using fill()

import numpy as np

nparr=np.empty((2,3))
nparr.fill(15)

print(nparr)

Output

[[15. 15. 15.]
 [15. 15. 15.]]

4. Fill NumPy array with all same values using tile()

The numpy tile function returns a new array by simply repeating a number of elements in the array as per given reputations. In this python program, we have repeated the value 25 for given reputations (2,3).

Python program create numpy array with same values

import numpy as np

rows = 2
cols = 3


nparr = np.tile(15, (rows,cols))


print(nparr)

Output

[[15 15 15]
 [15 15 15]]

5. Fill Numpy array with same values using ones()

In this Python program, we have used the np. ones() function to create a numpy array of a given shape(3,2) and that has the same identical value 15 for each element.

Python Program to create numpy array with same values using ones()

import numpy as np


nparr = 15 * np.ones(shape=(3,2))


print(nparr)

Output

[[15. 15. 15.]
 [15. 15. 15.]]

6. Fill Numpy array with same values using full_like()

The numpy.full_like() returns a full array of given shape and size as passed array. We will use it to create an numpy array with same all values.

Python program create numpy array with same values

import numpy as np
  
nparr = np.arange(6, dtype = int).reshape(2, 3)
print("Created array using reshape() : \n", nparr)
 
print("\n after full_like : \n", np.full_like(nparr, 15))

Output

Created array using reshape() : 
 [[0 1 2]
 [3 4 5]]

 after full_like : 
 [[10 10 10]
 [10 10 10]]

Summary

In this post, we have learned 6 ways to fill the NumPy array with all same values in Python.