code: def to_csv(
      data: Union[dict, pd.DataFrame, DataFrameLike],
      prefix: str = "altair-data",
      extension: str = "csv",
      filename: str = "{prefix}-{hash}.{extension}",
      urlpath: str = "",
  ) -> _ToCsvReturnUrlDict:
      """Write the data model to a .csv file and return a url based data model."""
      data_csv = _data_to_csv_string(data)
      data_hash = _compute_data_hash(data_csv)
      filename = filename.format(
          prefix=prefix, hash=data_hash, extension=extension
      )
      with open(filename, "w") as f:
          f.write(data_csv)
      return {
          "url": os.path.join(urlpath, filename),
          "format": {"type": "csv"},
      }
  
imports: import json
  import os
  import random
  import hashlib
  import warnings
  from typing import Union, MutableMapping, Optional, Dict, Sequence, TYPE_CHECKING, List
  import pandas
  from toolz import curried
  from typing import TypeVar
  from ._importers import import_pyarrow_interchange
  from .core import sanitize_dataframe, sanitize_arrow_table, DataFrameLike
  from .core import sanitize_geo_interface
  from .deprecation import AltairDeprecationWarning
  from .plugin_registry import PluginRegistry
  from typing import Protocol, TypedDict, Literal
label_desc: Use image node_id 4 for calling a global function with example usage: to_csv(data, prefix, extension, filename, urlpath) and returns: dict