NumPy 자료형

1 개요

NumPy Data Type

NumPy 자료형

2 목록

코드	영어명	한국어명	비고
i	integer	정수
b	boolean	불리언
u	unsigned integer	부호없는 정수
f	float	실수
c	complex float	복소실수
m	timedelta	시간차이
M	datetime	날짜시간
O	object	객체
S	string	문자열
U	unicode string	유니코드 문자열
V	void	보이드

3 예시

Python

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import numpy as np
arr = np.array([1, 2, 3])
print( arr.dtype, arr )

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arr = np.array([1, 2, 3], dtype='i2')
print( arr.dtype, arr )

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arr = np.array([1, 2, 3], dtype='S')
print( arr.dtype, arr )

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arr = np.array(['apple', 'banana', 'cherry'])
print( arr.dtype, arr )

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arr = np.array(['1', '2', '3'])
print( arr.dtype, arr )

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arr = np.array(['1', '2', '3'], dtype='i')
print( arr.dtype, arr )

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arr = np.array(['1', '2', 'x'])
print( arr.dtype, arr )

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arr = np.array(['1', '2', 'x'], dtype='i')
print( arr.dtype, arr )

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4 형 변환

Python

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import numpy as np
arr = np.array([1.1, 2.2, 3.3])
print( arr.dtype, arr )
arr2 = arr.astype('i') 
print( arr2.dtype, arr2 )

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import numpy as np
arr = np.array([1.1, 2.2, 3.3])
print( arr.dtype, arr )
arr2 = arr.astype(int) 
print( arr2.dtype, arr2 )

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import numpy as np
arr = np.array([0, 1, 2, 3])
print( arr.dtype, arr )
arr2 = arr.astype(bool) 
print( arr2.dtype, arr2 )

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import numpy as np
arr = np.array(['0', '1', '2', '3'])
print( arr.dtype, arr )
arr2 = arr.astype(int) 
print( arr2.dtype, arr2 )

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Copy

import numpy as np
arr = np.array(['0', '1', '2', 'x'])
print( arr.dtype, arr )
arr2 = arr.astype(int) 
print( arr2.dtype, arr2 )

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5 같이 보기

• 자료형
• NumPy
• Python 자료형

6 참고

• https://numpy.org/doc/stable/reference/arrays.dtypes.html
• https://numpy.org/doc/stable/reference/arrays.scalars.html#signed-integer-types
• https://www.w3schools.com/python/numpy/numpy_data_types.asp