Dtype Attribute Of An Array In Numpy

import numpy as np

# Creating an array of integers
arr_int = np.array([1, 2, 3, 4])
print(arr_int.dtype)  # Output: int64 (or int32 depending on the platform)

# Creating an array of floats
arr_float = np.array([1.0, 2.0, 3.0, 4.0])
print(arr_float.dtype)  # Output: float64

# Creating an array of complex numbers
arr_complex = np.array([1+2j, 3+4j])
print(arr_complex.dtype)  # Output: complex128

# Creating an array of strings
arr_str = np.array(['a', 'b', 'c'])
print(arr_str.dtype)  # Output: <U1 (Unicode string of length 1)

# Creating an array with a specified dtype
arr_specified = np.array([1, 2, 3, 4], dtype=np.float32)
print(arr_specified.dtype)  # Output: float32

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