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 all executions of given `type_name`.
  
  Args:
    type_name: A `str` indicating the name of an execution type in the store.
  
  Returns:
    A `pd.DataFrame` to display the properties of all executions with given
    type in the store.
docstr_tok: ["Returns","a","`","pd.DataFrame","`","for","all","executions","of","given","`","type_name","`",".","Args",":","type_name",":","A","`","str","`","indicating","the","name","of","an","execution","type","in","the","store",".","Returns",":","A","`","pd.DataFrame","`","to","display","the","properties","of","all","executions","with","given","type","in","the","store","."]
code: def get_executions_of_type_df(self, type_name):
      """Returns a `pd.DataFrame` for all executions of given `type_name`.
  
      Args:
        type_name: A `str` indicating the name of an execution type in the store.
  
      Returns:
        A `pd.DataFrame` to display the properties of all executions with given
        type in the store.
      """
      return self.get_df_from_artifacts_or_executions(
          self.metadata_store.get_executions_by_type(type_name)
      )
  
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 7 for calling the ReadonlyMetadataStore obj's underlying member method code with example usage: obj.get_executions_of_type_df(type_name) and returns: self