Basic of Numpy Module of Python

Author: Al-mamun Sarkar Date: 2020-03-30 19:10:08

Basic of Numpy Module of Python. Creating a NumPy array and reshape the array. Use of shape, ndim, dtype, size, type() of NumPy Module. I used Jupyter Notebook for practice. 

 

Code:

import numpy as np

 

Code:

a = np.arange(15).reshape(3, 5)
a

Output:

array([[ 0,  1,  2,  3,  4],
       [ 5,  6,  7,  8,  9],
       [10, 11, 12, 13, 14]])

 

Code:

a.shape

Output:

(3, 5)

 

Code:

a.ndim

Output:

2

 

Code:

a.dtype

Output:

dtype('int64')

 

Code:

a.dtype.name

Output:

'int64'

 

Code:

a.size

Output:

15

 

Code:

type(a)

Output:

numpy.ndarray

 

Code:

b = np.array([6, 7, 8])
b

Output:

array([6, 7, 8])

 

Code:

type(b)

Output:

numpy.ndarray