class_docstr: An ml-metadata store that provides read-only methods for notebooks.
class_docstr_tok: ["An","ml-metadata","store","that","provides","read-only","methods","for","notebooks","."]
docstr: Returns a `pd.DataFrame` for an execution with `execution_id`.
  
  Args:
    execution_id: An `int` indicating the id of an execution in the store.
  
  Returns:
    A `pd.DataFrame` to display the properties of the execution corresponding
    to `execution_id` or None if no such execution exists in the store.
docstr_tok: ["Returns","a","`","pd.DataFrame","`","for","an","execution","with","`","execution_id","`",".","Args",":","execution_id",":","An","`","int","`","indicating","the","id","of","an","execution","in","the","store",".","Returns",":","A","`","pd.DataFrame","`","to","display","the","properties","of","the","execution","corresponding","to","`","execution_id","`","or","None","if","no","such","execution","exists","in","the","store","."]
code: def get_execution_df(self, execution_id):
      """Returns a `pd.DataFrame` for an execution with `execution_id`.
  
      Args:
        execution_id: An `int` indicating the id of an execution in the store.
  
      Returns:
        A `pd.DataFrame` to display the properties of the execution corresponding
        to `execution_id` or None if no such execution exists in the store.
      """
      executions = self.metadata_store.get_executions_by_id(
          [execution_id]
      )
      return (
          self.get_df_from_single_artifact_or_execution(executions[0])
          if executions
          else None
      )
  
imports: import re
  from IPython.display import display_html
  import matplotlib.pyplot
  import networkx
  import pandas
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 5 for calling the ReadonlyMetadataStore obj's underlying member method code with example usage: obj.get_execution_df(execution_id) and returns: unknown