random.rand to get random numbers
We get random number of uniform distribution.
dimension | Int, optional , the dimension of returned array |
Output is the array of given shape
Example without dimension
import numpy as np
my_data=np.random.rand()
print(my_data) # 0.6601852461443163
Example with dimension
import numpy as np
my_data=np.random.rand(4)
print(my_data)
Output
[0.97823719 0.63318689 0.6091805 0.75746223]
import numpy as np
my_data=np.random.rand(4,3)
print(my_data)
Output
[[0.22050011 0.19774343 0.89542465]
[0.35511363 0.76718542 0.65659122]
[0.83884429 0.80796616 0.18510076]
[0.85687065 0.21390647 0.83901793]]
import numpy as np
my_data=np.random.rand(1,2,3,4)
print(my_data)
Output
[[[[0.58082049 0.27719339 0.67736131 0.13333281]
[0.22314567 0.76669328 0.49681767 0.72167221]
[0.3233574 0.99742718 0.59929845 0.85654149]]
[[0.60382161 0.31731253 0.74987002 0.07814571]
[0.20946435 0.740648 0.48045316 0.9641322 ]
[0.09219005 0.05010937 0.69697473 0.66450636]]]]
«Numpy
random.randint , Random Integers rand()
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