49. NumPy Datatypes in Python with Code || Random Function NumPy Arrays Python Programming Tutorial
NumPy uses much less memory to store data and it provides a mechanism of specifying the data types. A NumPy array can store different data String, Integer, Complex, Float, Boolean.
NumPy offers the random module to work with random numbers. The numpy.random.randn() function creates an array of specified shape and fills it with random values.
Numpy part I Link: • 48. NumPy Array in Python with Code ...
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Numpy part IV Link: • 51. NumPy Array Math in Python with C...
Numpy part V Link: • 52. NumPy Arrays Reorganizing Functio...
Code:
import numpy as np
x=np.array([1,2])
print(x.dtype)
xf=np.array([1.4,2.0])
print(xf.dtype)
x64=np.array([1,2],dtype=np.int64)
print(x64.dtype)
y=np.random.randn(4,3)
print(y)
yrandint=np.random.randint(2,100)
print(yrandint)
y=np.random.randint(-4,8,size=(3,3))
print(y)
print(x,y)