code: def ProtoFromDataFrames(dataframes):
      """Creates a feature statistics proto from a set of pandas dataframes.
  
      Args:
        dataframes: A list of dicts describing tables for each dataset for the
            proto. Each entry contains a 'table' field of the dataframe of the
              data
            and a 'name' field to identify the dataset in the proto.
  
      Returns:
        The feature statistics proto for the provided tables.
      """
      warnings.warn(
          "Code in this directory is deprecated. Use the facets-overview pip package instead.",
          DeprecationWarning,
      )
      return GenericFeatureStatisticsGenerator().ProtoFromDataFrames(
          dataframes
      )
  
imports: import warnings
  from base_generic_feature_statistics_generator import BaseGenericFeatureStatisticsGenerator
  import feature_statistics_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: ProtoFromDataFrames(dataframes) and returns: GenericFeatureStatisticsGenerator