code: def to_csv(
      df,
      path,
      sep=",",
      na_rep="",
      float_format=None,
      columns=None,
      header=True,
      index=True,
      index_label=None,
      mode="w",
      encoding=None,
      compression="infer",
      quoting=None,
      quotechar='"',
      line_terminator=None,
      chunksize=None,
      date_format=None,
      doublequote=True,
      escapechar=None,
      decimal=".",
      storage_options=None,
  ):
      r"""
      Write object to a comma-separated values (csv) file.
  
      Parameters
      ----------
      path : str
          File path.
          If path is a string with wildcard e.g. '/to/path/out-*.csv',
          to_csv will try to write multiple files, for instance,
          chunk (0, 0) will write data into '/to/path/out-0.csv'.
          If path is a string without wildcard,
          all data will be written into a single file.
      sep : str, default ','
          String of length 1. Field delimiter for the output file.
      na_rep : str, default ''
          Missing data representation.
      float_format : str, default None
          Format string for floating point numbers.
      columns : sequence, optional
          Columns to write.
      header : bool or list of str, default True
          Write out the column names. If a list of strings is given it is
          assumed to be aliases for the column names.
      index : bool, default True
          Write row names (index).
      index_label : str or sequence, or False, default None
          Column label for index column(s) if desired. If None is given, and
          `header` and `index` are True, then the index names are used. A
          sequence should be given if the object uses MultiIndex. If
          False do not print fields for index names. Use index_label=False
          for easier importing in R.
      mode : str
          Python write mode, default 'w'.
      encoding : str, optional
          A string representing the encoding to use in the output file,
          defaults to 'utf-8'.
      compression : str or dict, default 'infer'
          If str, represents compression mode. If dict, value at 'method' is
          the compression mode. Compression mode may be any of the following
          possible values: {'infer', 'gzip', 'bz2', 'zip', 'xz', None}. If
          compression mode is 'infer' and `path_or_buf` is path-like, then
          detect compression mode from the following extensions: '.gz',
          '.bz2', '.zip' or '.xz'. (otherwise no compression). If dict given
          and mode is 'zip' or inferred as 'zip', other entries passed as
          additional compression options.
      quoting : optional constant from csv module
          Defaults to csv.QUOTE_MINIMAL. If you have set a `float_format`
          then floats are converted to strings and thus csv.QUOTE_NONNUMERIC
          will treat them as non-numeric.
      quotechar : str, default '\"'
          String of length 1. Character used to quote fields.
      line_terminator : str, optional
          The newline character or character sequence to use in the output
          file. Defaults to `os.linesep`, which depends on the OS in which
          this method is called ('\n' for linux, '\r\n' for Windows, i.e.).
      chunksize : int or None
          Rows to write at a time.
      date_format : str, default None
          Format string for datetime objects.
      doublequote : bool, default True
          Control quoting of `quotechar` inside a field.
      escapechar : str, default None
          String of length 1. Character used to escape `sep` and `quotechar`
          when appropriate.
      decimal : str, default '.'
          Character recognized as decimal separator. E.g. use ',' for
          European data.
      Returns
      -------
      None or str
          If path_or_buf is None, returns the resulting csv format as a
          string. Otherwise returns None.
  
      See Also
      --------
      read_csv : Load a CSV file into a DataFrame.
  
      Examples
      --------
      >>> import mars.dataframe as md
      >>> df = md.DataFrame({'name': ['Raphael', 'Donatello'],
      ...                    'mask': ['red', 'purple'],
      ...                    'weapon': ['sai', 'bo staff']})
      >>> df.to_csv('out.csv', index=False).execute()
      """
  
      if mode != "w":  # pragma: no cover
          raise NotImplementedError(
              "only support to_csv with mode 'w' for now"
          )
      op = DataFrameToCSV(
          path=path,
          sep=sep,
          na_rep=na_rep,
          float_format=float_format,
          columns=columns,
          header=header,
          index=index,
          index_label=index_label,
          mode=mode,
          encoding=encoding,
          compression=compression,
          quoting=quoting,
          quotechar=quotechar,
          line_terminator=line_terminator,
          chunksize=chunksize,
          date_format=date_format,
          doublequote=doublequote,
          escapechar=escapechar,
          decimal=decimal,
          storage_options=storage_options,
      )
      return op(df)
  
imports: from io import StringIO
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...core.operand import OperandStage
  from ...lib.filesystem import open_file
  from ...serialization.serializables import KeyField, AnyField, StringField, ListField, BoolField, Int32Field, Int64Field, DictField
  from ...tensor.core import TensorOrder
  from ...tensor.operands import TensorOperand, TensorOperandMixin
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index
label_desc: Use image node_id 1 for calling a global function with example usage: to_csv(df, path, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, compression, quoting, quotechar, line_terminator, chunksize, date_format, doublequote, escapechar, decimal, storage_options) and returns: op