numpy.shape — NumPy v2.6.dev0 Manual

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NumPy v2.6.dev0 Manual - Home

Building from source

NumPy’s module structure

Universal functions (ufunc)

Routines and objects by topic

Array creation routines

Array manipulation routines

numpy.ndarray.flat

numpy.ndarray.flatten

numpy.permute_dims

numpy.matrix_transpose

numpy.broadcast_to

numpy.broadcast_arrays

numpy.asfortranarray

numpy.ascontiguousarray

numpy.asarray_chkfinite

numpy.column_stack

Bit-wise operations

String functionality

Datetime support functions

Data type routines

Mathematical functions with automatic domain

Floating point error handling

Exceptions and Warnings

Discrete Fourier Transform

Functional programming

Masked array operations

Mathematical functions

Miscellaneous routines

Sorting, searching, and counting

Typing (numpy.typing)

Array API standard compatibility

CPU/SIMD optimizations

Global Configuration Options

Testing guidelines

Status of numpy.distutils and migration advice

numpy.ndarray.shape

The elements of the shape tuple give the lengths of the corresponding array dimensions.

previous numpy.ndim

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