PYTHON

numpy empty array

import numpy as np

n = 2
X = np.empty(shape=[0, n])

for i in range(5):
    for j  in range(2):
        X = np.append(X, [[i, j]], axis=0)

print X

define empty numpy array

arr = np.array([])

create an empty numpy array and append

combined_array = np.append(empty_array, to_append)

numpy empty array

np.empty(shape=[0,0])
array([], shape=(0, 0), dtype=float64)

numpy create empty array

>>> np.empty([2, 2])
array([[ -9.74499359e+001,   6.69583040e-309],
       [  2.13182611e-314,   3.06959433e-309]])         #uninitialized

create empty numpy array

>>> np.empty([2, 2])
#Output:
array([[ -9.74499359e+001,   6.69583040e-309],
       [  2.13182611e-314,   3.06959433e-309]])         

Create an empty array numpy

# Create an empty array with 2 elements
np.empty(2)
array([ 3.14, 42.  ])  # may vary

creating numpy array using empty

import numpy as np
   
b = np.empty(2, dtype = int)
print("Matrix b : 
", b)
   
a = np.empty([2, 2], dtype = int)
print("
Matrix a : 
", a)
   
c = np.empty([3, 3])
print("
Matrix c : 
", c)

empty array numpy python

np.empty([2, 2])
array([[ -9.74499359e+001,   6.69583040e-309],
       [  2.13182611e-314,   3.06959433e-309]])         #uninitialized