polars.Expr.rechunk

Expr.rechunk() → Expr

Create a single chunk of memory for this Series.

Examples

>>> df = pl.DataFrame({"a": [1, 1, 2]})

Create a Series with 3 nulls, append column a, then rechunk.

>>> df.select(pl.repeat(None, 3).append(pl.col("a")).rechunk())
shape: (6, 1)
┌────────┐
│ repeat │
│ ---    │
│ i64    │
╞════════╡
│ null   │
│ null   │
│ null   │
│ 1      │
│ 1      │
│ 2      │
└────────┘