Hello guys. How are you all? I hope you all fine. In this tutorial we will learn about How to normalize a vector in python. so without wasting time lets learn about of this.
How to normalize a vector in python
- normalize a vector in python
to normalize a vector in python just Use mathematical formula.
By using mathematical formula you can normalize a vector in python. It is very easy to use. Lets learn about of this by given below example:
import numpy as np var1 = np.random.rand(3) result1 = var1 / np.sqrt(np.sum(var1**2)) print(result1)
Output :[0.04908173 0.01589104 0.99866834]
- How to normalize a vector in python
to normalize a vector in python just Use list comprehension. By using list comprehension you can normalize a vector in python. It is very easy to use. Lets learn about of this by given below example:
mylist = [[18,22,19,44]] result = [m / sum(n) for n in mylist for m in n] print(result)
Output :[0.17475728155339806, 0.21359223300970873, 0.18446601941747573, 0.42718446601941745]
- python normalize vector
To normalize a vector in python just Use list comprehension. By using list comprehension you can normalize a vector in python. It is very easy to use. Lets learn about of this by given below example:
mylist = [[18,22,19,44]] result = [m / sum(n) for n in mylist for m in n] print(result)
Output :[0.17475728155339806, 0.21359223300970873, 0.18446601941747573, 0.42718446601941745]
Method 1: Use mathematical formula
By using mathematical formula you can normalize. It is very easy to use. Lets learn about of this by given below example:
import numpy as np
var1 = np.random.rand(3)
result1 = var1 / np.sqrt(np.sum(var1**2))
print(result1)
Output :
[0.04908173 0.01589104 0.99866834]
Method 2: Use list comprehension
By using list comprehension you can normalize a vector. It is very easy to use. Lets learn about of this by given below example:
mylist = [[18,22,19,44]]
result = [m / sum(n) for n in mylist for m in n]
print(result)
Output :
[0.17475728155339806, 0.21359223300970873, 0.18446601941747573, 0.42718446601941745]
Conclusion
It’s all About this Tutorial. Hope all methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which method worked for you?
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