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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
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章节导航
NumPy 的模組結構
陣列物件
Universal functions (
ufunc
)
Routines and objects by topic
常數
Array creation routines
Array manipulation routines
Bit-wise operations
String functionality
Datetime support functions
Data type routines
Mathematical functions with automatic domain
Floating point error handling
Exceptions and Warnings
離散傅立葉變換
Functional programming
輸入與輸出
numpy.load
numpy.save
numpy.savez
numpy.savez_compressed
numpy.lib.npyio.NpzFile
numpy.loadtxt
numpy.savetxt
numpy.genfromtxt
numpy.fromregex
numpy.fromstring
numpy.ndarray.tofile
numpy.ndarray.tolist
numpy.array2string
numpy.array_repr
numpy.array_str
numpy.format_float_positional
numpy.format_float_scientific
numpy.memmap
numpy.lib.format.open_memmap
numpy.set_printoptions
numpy.get_printoptions
numpy.printoptions
numpy.binary_repr
numpy.base_repr
numpy.lib.npyio.DataSource
numpy.lib.format
numpy.lib.format.descr_to_dtype
numpy.lib.format.drop_metadata
numpy.lib.format.dtype_to_descr
numpy.lib.format.header_data_from_array_1_0
numpy.lib.format.isfileobj
numpy.lib.format.magic
numpy.lib.format.open_memmap
numpy.lib.format.read_array
numpy.lib.format.read_array_header_1_0
numpy.lib.format.read_array_header_2_0
numpy.lib.format.read_magic
numpy.lib.format.write_array
numpy.lib.format.write_array_header_1_0
numpy.lib.format.write_array_header_2_0
Indexing routines
線性代數
Logic functions
Masked array operations
Mathematical functions
Miscellaneous routines
多項式
Random sampling
Set routines
排序、搜尋與計數
Statistics
Test support
Window functions
Typing (
numpy.typing
)
NumPy C-API
陣列 API 標準相容性
CPU/SIMD 最佳化
Thread Safety
Global Configuration Options
NumPy security
Testing guidelines
Status of
numpy.distutils
and migration advice
NumPy 與 SWIG
NumPy 參考
NumPy 的模組結構
Lib module (
numpy.lib
)
numpy.lib.format
numpy.lib.format.isfileobj
numpy.lib.format.isfileobj
#
lib.format.
isfileobj
(
f
)
[原始碼]
#
当前页面
lib.format.isfileobj
