Python Numpy Array | How To Create A Numpy Array

Chapter: Python Numpy Last Updated: 09-07-2021 09:59:00 UTC

Program:

            /* ............... START ............... */
                import numpy as np

arr = np.array([1, 2, 3, 4, 5])

print(arr)

print(type(arr))

/* Output


[1 2 3 4 5]
<class 'numpy.ndarray'>

*/

import numpy as np

arr = np.array([[1, 2, 3], [4, 5, 6]])

print(arr)

/ * Output
[[1 2 3]
 [4 5 6]]

*/

import numpy as np

one = np.array(45)
two = np.array([1, 2, 6, 4, 5])
three = np.array([[1, 2, 3], [4, 5, 6]])
four = np.array([[[1, 2, 3], [4, 6, 6]], [[1, 9, 3], [6, 8, 6]]])

print(one.ndim)
print(two.ndim)
print(three.ndim)
print(four.ndim)


/*Output
0
1
2
3
*/

                /* ............... END ............... */

Notes:

Numpy is the python library used to create array. We can create a NumPy ndarray object by using the array() function.
type() is function in python used to give the type of object. In the above program you can see that array is ndarray.
By using numpy you can also create a two diamentional array also. These are often used to represent matrix or 2nd order tensors.
ndim attribute in Numpy is used to know the dimensions of the array.

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