class_docstr: Decodes CSV records into Arrow RecordBatches.
  
  DEPRECATED: please use tfx_bsl.public.CsvTFXIO instead.
docstr: Decodes the input CSV records into RecordBatches.
  
  Args:
    lines: A PCollection of strings representing the lines in the CSV file.
  
  Returns:
    A PCollection of RecordBatches representing the CSV records.
docstr_tok: ["Decodes","the","input","CSV","records","into","RecordBatches",".","Args",":","lines",":","A","PCollection","of","strings","representing","the","lines","in","the","CSV","file",".","Returns",":","A","PCollection","of","RecordBatches","representing","the","CSV","records","."]
code: def expand(self, lines: beam.pvalue.PCollection):
      """Decodes the input CSV records into RecordBatches.
  
      Args:
        lines: A PCollection of strings representing the lines in the CSV file.
  
      Returns:
        A PCollection of RecordBatches representing the CSV records.
      """
      return lines | "CSVToRecordBatch" >> csv_decoder.CSVToRecordBatch(
          column_names=self._column_names,
          delimiter=self._delimiter,
          skip_blank_lines=self._skip_blank_lines,
          schema=self._schema,
          desired_batch_size=self._desired_batch_size,
          multivalent_columns=self._multivalent_columns,
          secondary_delimiter=self._secondary_delimiter,
      )
  
file_path: data-validation/tensorflow_data_validation/coders/csv_decoder.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import List, Optional, Text, Union
  import apache_beam
  import pyarrow
  from tensorflow_data_validation import constants
  from tensorflow_data_validation import types
  from tfx_bsl.coders import csv_decoder
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 2 for calling the DecodeCSV obj's underlying member method code with example usage: obj.expand(lines) and returns: unknown