Numpy Random Number
A Random Number
A random number is something that is logically unpredictable. It does not mean a different number every time. Programmatically, random numbers can be categorized into two categories.
However, this program to generate a random number can be predicted, it means that this number is not a true random number. The random numbers generated using some generation algorithm is known as pseudo-random numbers.
To generate a truly random number, it is necessary to get the random data from some explicit sources such as keyboard keystrokes, mouse impressions, any random data available on the network, etc.
It is not necessary to use truly random numbers unless it is associated with any security (such as encryption keys etc.) or the basis of application is the randomness (such as Digital roulette wheels etc.).
We are concerned with pseudo-random numbers using Numpy in this article.
- Pseudo-Random numbers
- True Random numbers
However, this program to generate a random number can be predicted, it means that this number is not a true random number. The random numbers generated using some generation algorithm is known as pseudo-random numbers.
To generate a truly random number, it is necessary to get the random data from some explicit sources such as keyboard keystrokes, mouse impressions, any random data available on the network, etc.
It is not necessary to use truly random numbers unless it is associated with any security (such as encryption keys etc.) or the basis of application is the randomness (such as Digital roulette wheels etc.).
We are concerned with pseudo-random numbers using Numpy in this article.
Numpy random Module
The random module from the Numpy library can be used to generate random numbers.
For example
from numpy import random num = random.randint(50) print(num)
The randint() method in the above code will produce a random number between 0 to 50.
We can also generate a random float number using the rand() method.
from numpy import random #generate a float number between 0 and 1 num = random.rand() print(num)
Generating Random Number Arrays
The randint() method can be used to generate an array containing random numbers of a specified size.
For example,
from numpy import random #generate an array of integers num = random.randint(100, size=(6)) print(num) #Output [18 70 33 87 12 37]
To generate a 2-D array containing random numbers,
from numpy import random #generate a 2-D array of integers num = random.randint(100, size=(3, 3)) print(num) #Output [[93 48 16] [42 87 98] [ 4 29 93]]
Same can be done with rand() method to generate floating number arrays,
For example,
from numpy import random #generate a arrays of floats num1D = random.rand(6) num2D = random.rand(3, 3) print(num1D) print(num2D) #Output [0.81955336 0.84469223 0.29665967 0.81502409 0.18450341 0.37109707] [[0.47840853 0.8892987 0.38056846] [0.04916841 0.25365781 0.92287297] [0.31012879 0.47607149 0.77779443]]
Generating Random Number from an Array
The choice method can be used to select a number from a given array randomly.
from numpy import random #choice method num = random.choice([3,12,5,7,11,8,23]) print(num)