class_docstr: Stores all actual data and typing information for an entityset
  
  Attributes:
      id
      dataframe_dict
      relationships
      time_type
  
  Properties:
      metadata
class_docstr_tok: ["Stores","all","actual","data","and","typing","information","for","an","entityset","Attributes",":","id","dataframe_dict","relationships","time_type","Properties",":","metadata"]
docstr: Write entityset in the pickle format, location specified by `path`.
  Path could be a local path or a S3 path.
  If writing to S3 a tar archive of files will be written.
  
  Args:
      path (str): location on disk to write to (will be created as a directory)
      compression (str) : Name of the compression to use. Possible values are: {'gzip', 'bz2', 'zip', 'xz', None}.
      profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.
docstr_tok: ["Write","entityset","in","the","pickle","format",",","location","specified","by","`","path","`",".","Path","could","be","a","local","path","or","a","S3","path",".","If","writing","to","S3","a","tar","archive","of","files","will","be","written",".","Args",":","path","(","str",")",":","location","on","disk","to","write","to","(","will","be","created","as","a","directory",")","compression","(","str",")",":","Name","of","the","compression","to","use",".","Possible","values","are",":","{","'gzip","'",",","'bz2","'",",","'zip","'",",","'xz","'",",","None","}",".","profile_name","(","str",")",":","Name","of","AWS","profile","to","use",",","False","to","use","an","anonymous","profile",",","or","None","."]
code: def to_pickle(self, path, compression=None, profile_name=None):
      """Write entityset in the pickle format, location specified by `path`.
      Path could be a local path or a S3 path.
      If writing to S3 a tar archive of files will be written.
  
      Args:
          path (str): location on disk to write to (will be created as a directory)
          compression (str) : Name of the compression to use. Possible values are: {'gzip', 'bz2', 'zip', 'xz', None}.
          profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.
      """
      serialize.write_data_description(
          self,
          path,
          format="pickle",
          compression=compression,
          profile_name=profile_name,
      )
      return self
  
imports: import copy
  import logging
  import warnings
  from collections import defaultdict
  import numpy
  import pandas
  from woodwork import init_series
  from woodwork.logical_types import Datetime, LatLong
  from featuretools.entityset import deserialize, serialize
  from featuretools.entityset.relationship import Relationship, RelationshipPath
  from featuretools.feature_base.feature_base import _ES_REF
  from featuretools.utils.gen_utils import Library, import_or_none, is_instance
  from featuretools.utils.plot_utils import check_graphviz, get_graphviz_format, save_graph
  from featuretools.utils.wrangle import _check_timedelta
label_desc: Use image node_id 12 for calling the EntitySet obj's underlying member method code with example usage: obj.to_pickle(path, compression, profile_name) and returns: self