To create an array filled withrandom numbers, given the shape and type of array, we can usenumpy.empty() method.
Example:
Python3importnumpyasnpb=np.empty(3,dtype=float)print("Matrix b :\n",b)Output:
[6.79249278e-310 6.79249278e-310 1.69375695e+190]
Syntax
Syntax:np.empty(shape, dtype=None, order='C', *, like=None)
Parameter:
- shape : Number of rows
- order : C_contiguous or F_contiguous
- dtype : [optional, float(by Default)] Data type of returned array.
- like: [optional] allows you to create an array with the same shape and data type as another array-like object
More Examples
Let's see some examples of how to create an array with random values inNumPy.
Example 1
We create 2 NumPy arrays with random values in this example. Array 'b' with size 2 and array 'a' which is a 2D array.
Python3# Python Program to create numpy array# filled with random valuesimportnumpyasgeekb=geek.empty(2,dtype=int)print("Matrixb: \n",b)a=geek.empty([2,2],dtype=int)print("\nMatrixa: \n",a)
Output:
Matrix b : [140489599921032 21301024]Matrix a : [[140489599921048 18650592] [ 10738656 140489568798064]]
Example 2
In this example, we create 2 random value arrays in NumPy. Array 'c' which is a 3x3 array and array 'd' which is a 5x3 array.
Python3# Python Program to create numpy array# filled with random valuesimportnumpyasgeek# Python Program to create numpy array# filled with random valuesimportnumpyasgeekc=geek.empty([3,3])print("\nMatrixc: \n",c)d=geek.empty([5,3],dtype=int)print("\nMatrixd: \n",d)
Output:
Matrix c : [[ 1.37596097e-316 5.39314154e-317 5.39307830e-317] [ 5.39345774e-317 5.39345774e-317 6.93325440e-310] [ 5.39481741e-317 6.93325440e-310 8.69555537e-322]]Matrix d : [[140330665569272 23735792 0] [ 10739936 140330589556496 0] [ 0 0 10739904] [140330587337872 0 10915968] [ 0 10739904 0]]