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使用者指南
API 參考
從來源碼建置
開發
發行備註
Learn
NEPs
GitHub
章节导航
NumPy’s module structure
陣列物件
N 維陣列（
ndarray
）
Scalars
Data type objects (
dtype
)
numpy.dtype
numpy.dtype.type
numpy.dtype.kind
numpy.dtype.char
numpy.dtype.num
numpy.dtype.str
numpy.dtype.name
numpy.dtype.itemsize
numpy.dtype.byteorder
numpy.dtype.fields
numpy.dtype.names
numpy.dtype.subdtype
numpy.dtype.shape
numpy.dtype.hasobject
numpy.dtype.flags
numpy.dtype.isbuiltin
numpy.dtype.isnative
numpy.dtype.descr
numpy.dtype.alignment
numpy.dtype.base
numpy.dtype.metadata
numpy.dtype.newbyteorder
numpy.dtype.__reduce__
numpy.dtype.__setstate__
numpy.dtype.__class_getitem__
numpy.dtype.__ge__
numpy.dtype.__gt__
numpy.dtype.__le__
numpy.dtype.__lt__
Data type promotion in NumPy
Iterating over arrays
Standard array subclasses
Masked arrays
The array interface protocol
Datetimes and timedeltas
Universal functions (
ufunc
)
Routines and objects by topic
Typing (
numpy.typing
)
NumPy C-API
Array API standard compatibility
CPU/SIMD optimizations
Thread Safety
Global Configuration Options
NumPy security
Testing guidelines
Status of
numpy.distutils
and migration advice
NumPy and SWIG
NumPy reference
陣列物件
Data type objects (
dtype
)
numpy.dtype.type
numpy.dtype.type
#
attribute
dtype.
type
=
None
#
当前页面
dtype.type
