Data Parallel Extension for NumPy
Overview
Quick Start Guide
API Reference
The N-dimensional array (
ndarray
)
dpnp.ndarray
dpnp.dpnp_array.dpnp_array
Constructing arrays
Indexing arrays
Array attributes
Memory layout
Data type
Other attributes
Special attributes
Array methods
Array conversion
Shape manipulation
Item selection and manipulation
Calculation
Arithmetic, matrix multiplication, and comparison operations
Special methods
dpnp.ndarray.__copy__
dpnp.ndarray.__new__
dpnp.ndarray.__array__
dpnp.ndarray.__array_namespace__
dpnp.ndarray.__dlpack__
dpnp.ndarray.__dlpack_device__
dpnp.ndarray.__len__
dpnp.ndarray.__iter__
dpnp.ndarray.__getitem__
dpnp.ndarray.__setitem__
dpnp.ndarray.__contains__
dpnp.ndarray.__index__
dpnp.ndarray.__int__
dpnp.ndarray.__float__
dpnp.ndarray.__complex__
dpnp.ndarray.__str__
dpnp.ndarray.__repr__
dpnp.ndarray.__format__
Universal functions
Routines (NumPy)
Routines (SciPy) (
dpnp.scipy
)
Available array data types
Comparison Table NumPy/ DPNP/ CuPy
Array API standard compatibility
Development information
C++ backend API Reference
Data Parallel Extension for NumPy
API Reference
The N-dimensional array (
ndarray
)
dpnp.ndarray.__format__
View page source
dpnp.ndarray.__format__
method
ndarray.
__format__
(
format_spec
)
Return
\(\text{format(self, format_spec)}\)
.