class_docstr: Entry point for reading data from Cloud Bigtable. This object represents
  a Bigtable Table and provides basic methods for reading from it.
class_docstr_tok: ["Entry","point","for","reading","data","from","Cloud","Bigtable",".","This","object","represents","a","Bigtable","Table","and","provides","basic","methods","for","reading","from","it","."]
docstr: Args:
      client_resource: Resource holding a reference to BigtableClient.
      table_id (str): The ID of the table.
docstr_tok: ["Args",":","client_resource",":","Resource","holding","a","reference","to","BigtableClient",".","table_id","(","str",")",":","The","ID","of","the","table","."]
code: def __init__(self, client_resource: tf.Tensor, table_id: str):
      """
      Args:
          client_resource: Resource holding a reference to BigtableClient.
          table_id (str): The ID of the table.
      """
      self._table_id = table_id
      self._client_resource = client_resource
  
imports: from typing import List
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow_io.python.ops import core_ops
  import tensorflow_io.python.ops.bigtable.bigtable_version_filters
  import tensorflow_io.python.ops.bigtable.bigtable_row_set
  import tensorflow_io.python.ops.bigtable.bigtable_row_range
  from tensorflow.python.framework import dtypes
  import tensorflow
  from tensorflow.python.data.ops import dataset_ops
label_desc: Use image node_id 1 to create a new BigtableTable object  with example: obj = BigtableTable(client_resource, table_id)