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User Guide
API reference
Building from source
Development
Release notes
Learn
NEPs
Choose version
GitHub
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.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
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’s module structure
Lib module (
numpy.lib
)
numpy.lib.format
numpy.lib.format.isfileobj
numpy.lib.format.isfileobj
#
lib.format.
isfileobj
(
f
)
[source]
#
On this page
lib.format.isfileobj
