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Description
Describe the issue:
The numpy.ma.min operation fails for cases where the input array has a dtype = uint and the resultant array and mask has ndim > 0. There could be other operations where this same case fails, e.g., numpy.ma.max.
Reproduce the code example:
import numpy as np
import numpy.ma as ma
_dtype = np.uint8
fill_value = _dtype( 0 )
a = np.array( [ [ 1, 127, 2 ],
[ 2, 127, 1 ] ], dtype = _dtype )
a = ma.masked_array( a, a == 127 )
a.fill_value = fill_value
amin = a.min( axis = 0 )Error message:
╭───────────────────────── Traceback (most recent call last) ──────────────────────────╮
│ test.py:10 in <module> │
│ │
│ 7 │ │ │ │ [ 2, 127, 1 ] ], dtype = _dtype ) │
│ 8 a = ma.masked_array( a, a == 127 ) │
│ 9 a.fill_value = fill_value │
│ ❱ 10 amin = a.min( axis = 0 ) │
│ 11 │
│ │
│ .venv/lib/python3.12/site-packages/numpy/ma/core.py:5985 │
│ in min │
│ │
│ 5982 │ │ │ │ result.__setmask__(newmask) │
│ 5983 │ │ │ │ # Get rid of Infs │
│ 5984 │ │ │ │ if newmask.ndim: │
│ ❱ 5985 │ │ │ │ │ np.copyto(result, result.fill_value, where=newmask) │
│ 5986 │ │ │ elif newmask: │
│ 5987 │ │ │ │ result = masked │
│ 5988 │ │ │ return result │
╰──────────────────────────────────────────────────────────────────────────────────────╯
TypeError: Cannot cast scalar from dtype('int64') to dtype('uint8') according to the
rule 'same_kind'Python and NumPy Versions:
2.1.2
3.12.5 (main, Oct 14 2024, 12:30:20) [GCC 13.2.0]
Runtime Environment:
No response
Context for the issue:
No response