Data Types in NumPy

Program 1

#Data Type of Array in Numpy
# i - integer 
# u - unsigned integer
# f - float
# b - boolean
# S - string
# U - unicode string
# c - complex float
# O - object
# m - timedelta
# M - datetime

# astype()

import numpy as np 


# ar1=np.array(['1','2','3','4','5'],dtype="U")
# print(ar1)

# print("Data Type: ",ar1.dtype)
# print("Item Size: ",ar1.itemsize)
# print("Total Size: ",ar1.nbytes)

# ar2=ar1.astype('i')
# print(ar2.sum())








# ar1=np.array([12.4,5.6,7.8,23.66,89.65,0.0],dtype='float')
# print(ar1)
# print("Data Type: ",ar1.dtype)
# print("Item Size: ",ar1.itemsize)
# print("Total Size: ",ar1.nbytes)

# print("-------------------------------------------")
# ar2=ar1.astype('bool')
# print(ar2)
# print("Data Type: ",ar2.dtype)
# print("Item Size: ",ar2.itemsize)
# print("Total Size: ",ar2.nbytes)

# ar1=np.array([0,1,1,0,-453],dtype='bool')
# print(ar1)
# print("Data Type: ",ar1.dtype)
# print("Item Size: ",ar1.itemsize)
# print("Total Size: ",ar1.nbytes)

# ar1=np.array([10.6,20.4,30.4,40.6,50.4],dtype='f')
# ar1=np.array([10.6,20.4,30.4,40.6,50.4],dtype='float')
# print(ar1)
# print(ar1.dtype)
# print(ar1.itemsize)
# print(ar1.nbytes)