Python Numpy
Create an array ( x1 ) with sequence of number starting from 9 to 17 ( inclusive )
Create one more array x2 in which each element I = 2 (element of x1) + 8
Create an array with 4 numbers starting from 2 to 20
Create an array starting from 2 to 20 and each element is increased by 3
Create another array of same shape of x1
Create another array of same shape of x1 but with different random values.
Create an array ( x1 ) with sequence of number starting from 9 to 17 ( inclusive )
how to create an array with start, stop and step by using arange()
import numpy as np
x1=np.arange(9,18)
print(x1) # [ 9 10 11 12 13 14 15 16 17]
Create one more array x2 in which each element I = 2 (element of x1) + 8
x2=(2*x1) +8
print(x2) # [26 28 30 32 34 36 38 40 42]
Create an array with 4 numbers starting from 2 to 20
How to create an array with start stop and number of steps by using linspace()
x3=np.linspace(2,20,4)
print(x3) # [ 2. 8. 14. 20.]
Create an array starting from 2 to 20 and each element is increased by 3
x4=np.arange(2,21,3)
print(x4) # [ 2 5 8 11 14 17 20]
Create another array of same shape of x1
import numpy as np
x1=np.arange(9,18)
print(x1)
s1=x1.shape
y1=np.ones(s1)
print(y1)
Output
[ 9 10 11 12 13 14 15 16 17]
[1. 1. 1. 1. 1. 1. 1. 1. 1.]
Create another array of same shape of x1 but with different random values.
Read more on shape .
import numpy as np
x1=np.arange(9,18)
print(x1)
s1=x1.shape
y1=np.ones(s1)
y1=np.random.randint(4,high=10,size=s1)
print(y1)
Output
[ 9 10 11 12 13 14 15 16 17]
[7 4 5 7 7 6 4 4 4]
« Numpy
ones()
bincount()
arange()
Author & Instructor at
plus2net
I write and maintain practical tutorials on Python, PHP, SQL, JavaScript, HTML, jQuery,
and web development at plus2net. The tutorials focus on clear explanations, working
examples, and code that readers can test and adapt while learning.
← Subscribe to our YouTube Channel here