Scitex Pd

pandas helpers extracted from the SciTeX ecosystem. `force_df(x)` coerces anything (Series, dict, list-of-dicts, ndarray) into a `DataFrame` with sensible column names. `melt_cols(df, id_vars, ...)` is `pd.melt` with column-name patterns instead of explicit lists. `find_pval(df)` / `find_indi(df)` locate p-value and indicator columns by convention. `to_xy`/`to_xyz`/`from_xyz` reshape between long-form coordinate frames and wide. `mv`, `mv_to_first`, `mv_to_last` reorder columns by name without a verbose `df[[...]]` assignment. `get_unique`, `merge_cols`, `replace`, `round`, `slice`, `sort`, `to_numeric` are short-form helpers for the most common dataframe-massaging steps. Drop-in replacement for ten-line `if isinstance(x, ...): elif ...: ...` constructors and bespoke `df.columns.tolist()[:i] + ['x'] + df.columns.tolist()[i+1:]` reorderings.

mkdir -p ~/.claude/skills/scitex-pd
curl -L https://claudskills.com/skills/scitex-pd/SKILL.md \
  -o ~/.claude/skills/scitex-pd/SKILL.md

@misc{scitex-pd-2026,
  author    = {ClaudSkills},
  title     = {Scitex Pd [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/scitex-pd/}
}