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Section Navigation
NumPy’s module structure
numpy.exceptions
numpy.fft
numpy.linalg
numpy.polynomial
numpy.random
numpy.strings
numpy.testing
numpy.typing
numpy.ctypeslib
numpy.dtypes
numpy.emath
numpy.lib
numpy.lib.add_docstring
numpy.lib.add_newdoc
numpy.lib.Arrayterator
numpy.lib.NumpyVersion
numpy.lib.array_utils
numpy.lib.format
numpy.lib.format.descr_to_dtype
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
numpy.lib.introspect
numpy.lib.mixins
numpy.lib.npyio
numpy.lib.scimath
numpy.lib.stride_tricks
numpy.rec
numpy.version
numpy.char
numpy.distutils
numpy.f2py
numpy.ma
numpy.matlib
Array objects
Universal functions (
ufunc
)
Routines and objects by topic
Typing (
numpy.typing
)
Packaging (
numpy.distutils
)
NumPy C-API
Array API standard compatibility
CPU/SIMD optimizations
Thread Safety
Global Configuration Options
NumPy security
Status of
numpy.distutils
and migration advice
numpy.distutils
user guide
NumPy and SWIG
NumPy reference
numpy.lib.format
numpy.lib.fo...
numpy.lib.format.isfileobj
#
lib.format.
isfileobj
(
f
)
[source]
#
On this page
lib.format.isfileobj
