meta-issue: All NumPy functions with no implementation

Below are lists of feasible but not yet implemented NumPy functions... ideal for first time contributors. If you would like to contribute a function, please first check the open "Pull Requests" to make sure someone else isn't already working on the one you chose! If the check-box next to the function is checked it means the function is already done...

As a new contributor, some instructions for getting set up for development are here and are a great place to start.

It should be possible to write these functions using the numba.extending.overload functionality, they are of varying difficulty. A guide to using @overload is here:

• [ ] np.alen deprecated, see https://github.com/numpy/numpy/issues/14155
• np.allclose
• np.alltrue
• np.append
• np.argpartition
• np.argwhere
• np.around
• np.array_equal
• np.array_split
• np.asanyarray
• np.asarray_chkfinite
• np.asfarray
• [ ] np.asscalar deprecated, see https://github.com/numpy/numpy/pull/20414
• np.atleast_1d
• np.atleast_2d
• np.atleast_3d
• np.bartlett
• np.binary_repr
• np.bincount
• np.blackman
• np.compress
• np.count_nonzero
• np.cross
• np.cumproduct (just needs wiring)
• np.diag_indices
• np.diag_indices_from
• np.diagflat
• np.euler_gamma (constant)
• np.fastCopyAndTranspose deprecated, see https://github.com/numpy/numpy/pull/22313
• np.floatnonzero
• np.fliplr
• np.flipud
• [ ] np.fv deprecated see NumPy's NEP-0032.
• np.geomspace
• np.hamming
• np.hanning
• np.hsplit
• np.i0
• np.in1d ~ deprecated and removed https://github.com/numpy/numpy/pull/29978
• np.indices
• np.infty (constant)
• np.inner
• np.intersect1d
• [ ] np.ipmt deprecated see NumPy's NEP-0032.
• [ ] np.irr deprecated see NumPy's NEP-0032.
• np.isclose
• np.iscomplex
• np.iscomplexobj
• np.isfortran
• np.isin
• np.isnat
• np.isneginf
• np.isposinf
• np.isreal
• np.isrealobj
• np.isscalar
• np.kaiser
• np.little_endian
• np.logspace
• np.meshgrid
• [ ] np.mirr deprecated see NumPy's NEP-0032.
• [ ] np.msort (largely wiring!) deprecated, see https://github.com/numpy/numpy/pull/22456
• np.nan_to_num
• np.nanargmax
• np.nanargmin
• np.ndim (just needs wiring)
• np.newaxis (just needs wiring)
• [ ] np.nper deprecated see NumPy's NEP-0032.
• [ ] np.npv deprecated see NumPy's NEP-0032.
• np.place
• [ ] np.pmt deprecated see NumPy's NEP-0032.
• np.poly
• np.polyadd
• np.polyder
• np.polydiv
• np.polyint
• np.polymul
• np.polysub
• np.polyval
• [ ] np.ppmt deprecated see NumPy's NEP-0032.
• np.product (just needs wiring)
• np.put
• np.putmask
• [ ] np.pv deprecated see NumPy's NEP-0032.
• [ ] np.rate deprecated see NumPy's NEP-0032.
• np.resize
• np.rot90
• np.row_stack
• np.select
• np.setdiff1d
• np.setxor1d
• np.size (mostly wiring)
• np.sometrue (just needs wiring) (deprecated with 1.25
• np.sortcomplex
• np.split
• np.tril_indices
• np.tril_indices_from
• np.triu_indices
• np.triu_indices_from
• np.trim_zeros
• np.union1d
• np.unravel_index
• np.unwrap
• np.vsplit

It is also seemingly possible to write these functions with numba.extending.overload but they are harder/it is less easy to determined difficultly in implementing these:

• np.choose
• np.common_type
• np.copyto
• np.dsplit
• np.dstack
• np.fix
• np.gradient
• np.histogram2d
• np.histogramdd
• np.insert
• np.ix_
• np.lexsort
• np.mask_indices
• np.maximum_sctype
• np.nested_iters
• np.pad
• np.piecewise
• np.polyfit
• np.put_along_axis
• np.squeeze
• np.swapaxis
• np.tensordor

These are likely to need lower level work:

• np.broadcast_to
• np.broadcast_arrays
• np.byte_bounds
• np.packbits
• np.unpackbits