Numpy empty() to get array of input shape and type without initializing entries

numpy.empty(shape, dtype=float, order='C')

Return array without initializing entries.

`shape`	Int, or sequence ( 2,3), shape of the output array
`dtype`	data-type( Optional ), Data Type of returned array.
`order`	{'C','F'} Optional, how the output is to be stored. C- style or Fortan style

Using shape

import numpy as np
ar=np.empty((1,3))
print(ar)

Output

[[5.e-324 5.e-324 5.e-324]]

Let us use different value for shape

ar=np.empty((4,2))
print(ar)

Output

[[3.02200272e-316 1.58101007e-322]
 [2.07955588e-312 1.16151774e-046]
 [4.81836453e-038 1.33694116e+165]
 [1.93417383e+184 1.33511316e-306]]

ar=np.empty((4,1))
print(ar)

Output

[[5.e-324]
 [5.e-324]
 [5.e-324]
 [0.e+000]]

dtype

We will try to return string dtype

import numpy as np
ar=np.empty(4,dtype=str)
print(ar) # ['' '' '' '']

Output

['' '' '' '']

dtype=float

ar=np.empty(4,dtype=float)
print(ar)

Output

[5.e-324 5.e-324 5.e-324 0.e+000]

dtype=int

ar=np.empty(4,dtype=int)
print(ar) # [1 1 1 0]

Output

[1 1 1 0]

ar=np.empty(4,dtype=np.int64)
print(ar) # [1 1 1 0]

Output

[1 1 1 0]

empty_like()
Numpy eye() bincount() arange() linspace()

Python Tkinter Pandas Python- Tutorials

Subhendu Mohapatra

Author

🎥 Join me live on YouTube

Passionate about coding and teaching, I publish practical tutorials on PHP, Python, JavaScript, SQL, and web development. My goal is to make learning simple, engaging, and project‑oriented with real examples and source code.

Subscribe to our YouTube Channel here