code: def var(column: str, ddof: int = 1) -> Expr:
      """
      Get the variance.
  
      This function is syntactic sugar for `pl.col(column).var(ddof)`.
  
      Parameters
      ----------
      column
          Column name.
      ddof
          “Delta Degrees of Freedom”: the divisor used in the calculation is N - ddof,
          where N represents the number of elements.
          By default ddof is 1.
  
      Examples
      --------
      >>> df = pl.DataFrame({"a": [1, 8, 3], "b": [4, 5, 2], "c": ["foo", "bar", "foo"]})
      >>> df.select(pl.var("a"))
      shape: (1, 1)
      ┌──────┐
      │ a    │
      │ ---  │
      │ f64  │
      ╞══════╡
      │ 13.0 │
      └──────┘
      >>> df["a"].var()
      13.0
  
      """
      return F.col(column).var(ddof)
  
imports: from __future__ import annotations
  import contextlib
  from typing import TYPE_CHECKING, Any, Callable, Iterable, Sequence, overload
  import polars._reexport
  import polars.functions
  from polars.datatypes import DTYPE_TEMPORAL_UNITS, Date, Datetime, Int64
  from polars.utils._async import _AioDataFrameResult, _GeventDataFrameResult
  from polars.utils._parse_expr_input import parse_as_expression, parse_as_list_of_expressions
  from polars.utils._wrap import wrap_df, wrap_expr
  from polars.utils.deprecation import deprecate_renamed_function
label_desc: Use image node_id 5 for calling a global function with example usage: var(column, ddof) and returns: F