Python Numpy sample()
Description :
Example :
NumPy generally stands for Numerical Python and it is a general purpose array processing package.it always provides a high performance multidimensional array object. Numpy is usually for creating an array of n dimensions.
Method Name :numpy.random.sample(size=None)
Description :The function for doing random sampling in NumPy. It will return an array of specified shapes and fill it with random floats in the half-open interval [0.0, 1.0).
In this article, I will tell you about the parameter and its description
Parameter Name: size
Description : int or tuple of ints
If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. Default is None, in which case a single value is returned.
Parameter Name: sequence
Description : A sequence can be any type of sequence like as: list, set, range, etc.
Parameter Name: k
Description :The size of the returned list.
Return :The array of random floats in the interval [0.0, 1.0) or a single such random float if size not provided in the given output.
The first step would be to give syntax
command:
numpy.random.sample(size=None)
Example :
Code :Example :
Code :
# numpy.random.sample() function
# importing numpy
import numpy as np
# output array
out_arr = np.random.sample(size =(5,5))
print ("Output 2D Array filled with random floats : ", out_arr)
Output :
Example :Code :
# numpy.random.sample() function
# importing numpy
import numpy as np
# output array
out_arr = np.random.sample(size =(3,5,5))
print ("Output 2D Array filled with random floats : ", out_arr)
Output :
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