code: def _sequence_of_elements_to_pydf(
      first_element: Any,
      data: Sequence[Any],
      schema: SchemaDefinition | None,
      schema_overrides: SchemaDict | None,
      **kwargs: Any,
  ) -> PyDataFrame:
      column_names, schema_overrides = _unpack_schema(
          schema, schema_overrides=schema_overrides, n_expected=1
      )
      data_series: list[PySeries] = [
          pl.Series(
              column_names[0],
              data,
              schema_overrides.get(column_names[0]),
          )._s
      ]
      data_series = _handle_columns_arg(
          data_series, columns=column_names
      )
      return PyDataFrame(data_series)
  
imports: from __future__ import annotations
  import contextlib
  import warnings
  from datetime import date, datetime, time, timedelta
  from decimal import Decimal
  from functools import lru_cache, singledispatch
  from itertools import islice, zip_longest
  from operator import itemgetter
  from sys import version_info
  from typing import TYPE_CHECKING, Any, Callable, Generator, Iterable, Iterator, Mapping, MutableMapping, Sequence, get_type_hints
  import polars._reexport
  from polars import functions
  from polars.datatypes import INTEGER_DTYPES, N_INFER_DEFAULT, TEMPORAL_DTYPES, Boolean, Categorical, Date, Datetime, Duration, Enum, List, Null, Object, String, Struct, Time, UInt32, Unknown, dtype_to_py_type, is_polars_dtype, numpy_char_code_to_dtype, py_type_to_dtype
  from polars.datatypes.constructor import numpy_type_to_constructor, numpy_values_and_dtype, polars_type_to_constructor, py_type_to_constructor
  from polars.dependencies import _NUMPY_AVAILABLE, _check_for_numpy, _check_for_pandas, _check_for_pydantic, dataclasses, pydantic
  from polars.dependencies import numpy
  from polars.dependencies import pandas
  from polars.dependencies import pyarrow
  from polars.exceptions import ComputeError, ShapeError, TimeZoneAwareConstructorWarning
  from polars.utils._wrap import wrap_df, wrap_s
  from polars.utils.meta import get_index_type, threadpool_size
  from polars.utils.various import _is_generator, arrlen, find_stacklevel, parse_version, range_to_series
label_desc: Use image node_id 30 for calling a global function with example usage: _sequence_of_elements_to_pydf(first_element, data, schema, schema_overrides) and returns: PyDataFrame