# PDL::Basic

📦 stdpdl

Provides sequence generators (`sequence`, `xvals`, `yvals`, `zvals`, `axisvals`), coordinate helpers (`ndcoords`), and `hist`. These are mostly pure Perl in the original `PDL::Basic.pm`. We provide native implementations here for performance and correctness. ## Synopsis ```none use PDL; my $a = sequence(10); # 0..9 my $x = xvals(5, 5); my $y = yvals(5, 5); my $z = zvals(3, 3, 3); my $h = hist($a, 0, 10, 2); ``` ## Functions ### Other Functions #### [`sequence`](Basic/sequence.md) `sequence(@dims)` – create an ndarray filled with `0, 1, 2, ..., N-1`. #### `xvals` `xvals(@dims)` #### `yvals` `yvals(@dims)` #### `zvals` `zvals(@dims)` #### `axisvals` `axisvals($pdl_or_dims, $axis)` #### `hist` `hist($pdl, $min?, $max?, $step?)` #### `ndcoords` `ndcoords(@dims)` #### `xlinvals` `xlinvals($pdl, $min, $max)` #### `ylinvals` `ylinvals($pdl, $min, $max)` #### `zlinvals` `zlinvals($pdl, $min, $max)` #### `xlogvals` `xlogvals($pdl, $min, $max)` #### `ylogvals` `ylogvals($pdl, $min, $max)` #### `zlogvals` `zlogvals($pdl, $min, $max)` #### `rvals` `rvals(@dims)` — radial distance values. Creates a PDL where each element is the Euclidean distance from the center. For dims (W, H): center = (W/2, H/2), rvals[x,y] = sqrt((x-cx)^2 + (y-cy)^2). Options (last arg hashref): {center=>[x,y,…], squared=>1} #### `random` `grandom(@dims)` — Gaussian random numbers using Box-Muller transform. `random([type], $nx, $ny, $nz, ...)` — uniform random PDL in [0, 1). Mirrors `PDL::Basic::random` (`Primitive.pd` wrapper).