# numpy
import numpy as np
import random
# Creating a random 2d array object of size 2 x 3
M1 = np.random.randint(10, size=(2,3))
print("Generated array object")
print(M1)
# About array object
print("About array object")
print("Type : ", type(M1))
# Array dimensions (axes)
print("Number of dimensions : ", M1.ndim)
# Shape shape of array
print("Shape of array: ", M1.shape)
# Size (total number of elements)
print("Size of array (total number of elements) : ", M1.size)
# Data type of elements in array
print("Data type : ", M1.dtype)
# Manipulation of array data
print("Data manipulation")
print("Sum of all elements : ",np.sum(M1))
print("Sum of column elements")
print(np.sum(M1,axis=0))
print("Sum of row elements")
print(np.sum(M1,axis=1))
# Transpose of the 2d array
print("Transpose")
print(M1.T)
"""
Sample output
>python 8_5_numpy1.py
Generated array object
[[1 6 9]
[0 6 3]]
About array object
Type : <class 'numpy.ndarray'>
Number of dimensions : 2
Shape of array: (2, 3)
Size of array (total number of elements) : 6
Data type : int32
Data manipulation
Sum of all elements : 25
Sum of column elements
[ 1 12 12]
Sum of row elements
[16 9]
Transpose
[[1 0]
[6 6]
[9 3]]
"""
