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README

ndindex

ndindex logo

A Python library for manipulating indices of ndarrays.

The documentation for ndindex can be found at https://quansight-labs.github.io/ndindex/

ndindex is a library that allows representing and manipulating objects that can be valid indices to numpy arrays, i.e., slices, integers, ellipses, None, integer and boolean arrays, and tuples thereof. The goals of the library are

  • Provide a uniform API to manipulate these objects. Unlike the standard index objects themselves like slice, int, and tuple, which do not share any methods in common related to being indices, ndindex classes can all be manipulated uniformly. For example, idx.args always gives the arguments used to construct idx.

  • Give 100% correct semantics as defined by numpy's ndarray. This means that ndindex will not make a transformation on an index object unless it is correct for all possible input array shapes. The only exception to this rule is that ndindex assumes that any given index will not raise IndexError (for instance, from an out of bounds integer index or from too few dimensions). For those operations where the array shape is known, there is a reduce() method to reduce an index to a simpler index that is equivalent for the given shape.

  • Enable useful transformation and manipulation functions on index objects.

Examples

Canonicalize a slice (over a given shape, or independent of array shape)

>>> from ndindex import *
>>> Slice(-2, 10, 3).reduce()
Slice(-2, 10, 2)
>>> Slice(-2, 10, 3).reduce(5)
Slice(3, 4, 1)

Compute the maximum length of a sliced axis

>>> import numpy as np
>>> len(Slice(2, 10, 3))
3
>>> len(np.arange(10)[2:10:3])
3

Compute the shape of an array of shape (10, 20) indexed by [0, 0:10]

>>> Tuple(0, slice(0, 10)).newshape((10, 20))
(10,)
>>> np.ones((10, 20))[0, 0:10].shape
(10,)

Check if an indexed array would be empty

>>> Tuple(0, ..., Slice(10, 20)).isempty((3, 4, 5))
True
>>> np.ones((3, 4, 5))[0,...,10:20]
array([], shape=(4, 0), dtype=float64)

See the documentation for full details on what ndindex can do.

License

MIT License

Acknowledgments

ndindex development is supported by Quansight Labs and is sponsored in part by the D. E. Shaw group. The D. E. Shaw group collaborates with Quansight on numerous open source projects, including Numba, Dask and Project Jupyter.

https://labs.quansight.org/ https://www.deshaw.com

Core symbols most depended-on inside this repo

reduce
called by 91
ndindex/tuple.py
asshape
called by 64
ndindex/shapetools.py
check_same
called by 51
ndindex/tests/helpers.py
isempty
called by 39
ndindex/tuple.py
expand
called by 19
ndindex/tuple.py
normalize_skip_axes
called by 18
ndindex/shapetools.py
broadcast_shapes
called by 17
ndindex/shapetools.py
iter_indices
called by 17
ndindex/shapetools.py

Shape

Method 252
Function 249
Class 45
Route 2

Languages

Python100%

Modules by API surface

versioneer.py43 symbols
ndindex/ndindex.py27 symbols
ndindex/tests/test_slice.py25 symbols
ndindex/tests/test_integer.py23 symbols
benchmarks/tuple.py22 symbols
ndindex/_version.py21 symbols
benchmarks/ndindex.py21 symbols
ndindex/shapetools.py18 symbols
ndindex/tuple.py17 symbols
ndindex/tests/test_shapetools.py17 symbols
ndindex/tests/helpers.py17 symbols
ndindex/chunking.py15 symbols

For agents

$ claude mcp add ndindex \
  -- python -m otcore.mcp_server <graph>

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