How to Create NumPy Array

Machine Learning courses with 100+ Real-time projects Start Now!!

Program 1

import numpy as np
#arr=np.array([10,20,30])
#print(arr)
#arr=np.array(100)
#print(arr)
# ar=np.arange(0,10)
# print(ar)
# ar=np.linspace(100,1,5,dtype="int")
# print(ar)
# ar=np.logspace(1,4,5,dtype="int")
# print(ar)
# arr1=np.array(100)  # 0 D Array
# print("-----------0 D Array---------")
# print(arr1)
# print(type(arr1))
# print(arr1.ndim)
# print("-----------1 D Array---------")
# arr2=np.array([10,20,30])  # 1 D Array
# print(arr2)
# print(arr2.ndim)
# print("-----------2 D Array---------")
# arr3=np.array([[1,2,3],[4,5,6]]) # 2 D Array
# print(arr3)
# print(arr3.shape)
# print(arr3)
# print(arr3.ndim)
# print("-----------3 D Array---------")
#arr4=np.array([[[100,200,300],[400,500,600]],[[700,800,900],[1000,1111,1200]]])
# print(arr4)
# print(arr4.ndim)
#

 

Did you like our efforts? If Yes, please give DataFlair 5 Stars on Google

courses
Image

TechVidvan Team

TechVidvan Team provides high-quality content & courses on AI, ML, Data Science, Data Engineering, Data Analytics, programming, Python, DSA, Android, Flutter, full stack web dev, MERN, and many latest technology.

Leave a Reply

Your email address will not be published. Required fields are marked *