class_docstr: Serialize data of various formats to a CSV-formatted string.
docstr: Initialize a ``CSVSerializer`` instance.
  
  Args:
      content_type (str): The MIME type to signal to the inference endpoint when sending
          request data (default: "text/csv").
docstr_tok: ["Initialize","a","``","CSVSerializer","``","instance",".","Args",":","content_type","(","str",")",":","The","MIME","type","to","signal","to","the","inference","endpoint","when","sending","request","data","(","default",":","``","text\/csv","''",")","."]
code: def __init__(self, content_type="text/csv"):
      """Initialize a ``CSVSerializer`` instance.
  
      Args:
          content_type (str): The MIME type to signal to the inference endpoint when sending
              request data (default: "text/csv").
      """
      super(CSVSerializer, self).__init__(content_type=content_type)
  
imports: from __future__ import absolute_import
  import abc
  from collections.abc import Iterable
  import csv
  import io
  import json
  import numpy
  from pandas import DataFrame
  from six import with_metaclass
  from sagemaker.utils import DeferredError
label_desc: Use image node_id 1 to create a new CSVSerializer object from inherited base classes: SimpleBaseSerializer with example: obj = CSVSerializer(content_type)