np.dtype([ ('valid', np.float32, (1,)), ('material_id', np.int32, (1,)), ('uv', np.float32, (2,)), ('wi', np.float32, (3,)), ('wo', np.float32, (3,)), ('mip_level ...
But when I use a pandas string type as a source for b (rather than object dtype), the result is a scalar boolean (in 2.1.1) or a TypeError (in 2.3.3). pandas : 2.1.1 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback