docstr: Create a strings column from a list column
docstr_tok: ["Create","a","strings","column","from","a","list","column"]
code: def as_string_column(
      self, dtype: Dtype, format: str | None = None
  ) -> "cudf.core.column.StringColumn":
      """
      Create a strings column from a list column
      """
      lc = self._transform_leaves(
          lambda col, dtype: col.as_string_column(dtype), dtype
      )
  
      # Separator strings to match the Python format
      separators = as_column([", ", "[", "]"])
  
      # Call libcudf to format the list column
      return format_list_column(lc, separators)
  
imports: from __future__ import annotations
  from functools import cached_property
  from typing import List, Optional, Sequence, Tuple, Union
  import numpy
  import pyarrow
  from typing_extensions import Self
  import cudf
  from cudf._lib.copying import segmented_gather
  from cudf._lib.lists import concatenate_list_elements, concatenate_rows, contains_scalar, count_elements, distinct, extract_element_column, extract_element_scalar, index_of_column, index_of_scalar, sort_lists
  from cudf._lib.strings.convert.convert_lists import format_list_column
  from cudf._lib.types import size_type_dtype
  from cudf._typing import ColumnBinaryOperand, ColumnLike, Dtype, ScalarLike
  from cudf.api.types import _is_non_decimal_numeric_dtype, is_scalar
  from cudf.core.column import ColumnBase, as_column, column
  from cudf.core.column.methods import ColumnMethods, ParentType
  from cudf.core.dtypes import ListDtype
  from cudf.core.missing import NA
label_desc: Use image node_id 17 for calling the ListColumn obj's underlying member method code with example usage: obj.as_string_column(dtype, format) and returns: format_list_column