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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
)
Data type promotion in NumPy
Iterating over arrays
Standard array subclasses
numpy.matrix.T
numpy.matrix.H
numpy.matrix.I
numpy.matrix.A
numpy.matrix
numpy.asmatrix
numpy.bmat
numpy.memmap
numpy.memmap.flush
numpy.char.chararray
numpy.char.array
numpy.recarray
numpy.record
numpy.record.all
numpy.record.any
numpy.record.argmax
numpy.record.argmin
numpy.record.argsort
numpy.record.astype
numpy.record.byteswap
numpy.record.choose
numpy.record.clip
numpy.record.compress
numpy.record.conj
numpy.record.conjugate
numpy.record.copy
numpy.record.cumprod
numpy.record.cumsum
numpy.record.diagonal
numpy.record.dump
numpy.record.dumps
numpy.record.fill
numpy.record.flatten
numpy.record.getfield
numpy.record.item
numpy.record.max
numpy.record.mean
numpy.record.min
numpy.record.nonzero
numpy.record.pprint
numpy.record.prod
numpy.record.put
numpy.record.ravel
numpy.record.repeat
numpy.record.reshape
numpy.record.resize
numpy.record.round
numpy.record.searchsorted
numpy.record.setfield
numpy.record.setflags
numpy.record.sort
numpy.record.squeeze
numpy.record.std
numpy.record.sum
numpy.record.swapaxes
numpy.record.take
numpy.record.to_device
numpy.record.tobytes
numpy.record.tofile
numpy.record.tolist
numpy.record.trace
numpy.record.transpose
numpy.record.var
numpy.record.view
numpy.lib.user_array.container
numpy.ndarray.flat
numpy.ndenumerate
numpy.broadcast
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
Standard array subclasses
numpy.record
numpy.record.pprint
numpy.record.pprint
#
method
record.
pprint
(
)
[原始碼]
#
Pretty-print all fields.
当前页面
record.pprint
