class_docstr: A :class:`~perspective.View` object represents a specific transform
  (pivot, filter, sort, etc) configuration on an underlying
  :class:`~perspective.Table`.  :class:`~perspective.View` objects
  cannot be directly instantiated - they must be derived from an existing
  :class:`~perspective.Table` via the :func:`~perspective.Table.view()`
  method.
  
  :class:`~perspective.View` instances receive all updates from the
  :class:`~perspective.Table` from which they are derived, and can be
  serialized (via ``to_*`` methods) or trigger a callback when it is updated.
  :class:`~perspective.View` objects will remain in memory and actively
  process updates until :obj:`~perspective.View.delete()` method is called.
class_docstr_tok: ["A",":","class",":","`","~perspective.View","`","object","represents","a","specific","transform","(","pivot",",","filter",",","sort",",","etc",")","configuration","on","an","underlying",":","class",":","`","~perspective.Table","`",".",":","class",":","`","~perspective.View","`","objects","can","not","be","directly","instantiated","-","they","must","be","derived","from","an","existing",":","class",":","`","~perspective.Table","`","via","the",":","func",":","`","~perspective.Table.view","(",")","`","method",".",":","class",":","`","~perspective.View","`","instances","receive","all","updates","from","the",":","class",":","`","~perspective.Table","`","from","which","they","are","derived",",","and","can","be","serialized","(","via","``","to_","*","``","methods",")","or","trigger","a","callback","when","it","is","updated",".",":","class",":","`","~perspective.View","`","objects","will","remain","in","memory","and","actively","process","updates","until",":","obj",":","`","~perspective.View.delete","(",")","`","method","is","called","."]
docstr: The schema of this :class:`~perspective.View`, which is a key-value
  map that contains the column names and their Python data types.
  
  If the columns are aggregated, their aggregated types will be shown
  returned instead.
  
  Keyword Args:
      as_string (:obj:`bool`): returns data types as string
          representations, if ``True``.
  
  Returns:
      :obj:`dict`: A map of :obj:`str` column name to :obj:`str` or
          :obj:`type`, depending on the value of ``as_string`` kwarg.
docstr_tok: ["The","schema","of","this",":","class",":","`","~perspective.View","`",",","which","is","a","key-value","map","that","contains","the","column","names","and","their","Python","data","types",".","If","the","columns","are","aggregated",",","their","aggregated","types","will","be","shown","returned","instead",".","Keyword","Args",":","as_string","(",":","obj",":","`","bool","`",")",":","returns","data","types","as","string","representations",",","if","``","True","``",".","Returns",":",":","obj",":","`","dict","`",":","A","map","of",":","obj",":","`","str","`","column","name","to",":","obj",":","`","str","`","or",":","obj",":","`","type","`",",","depending","on","the","value","of","``","as_string","``","kwarg","."]
code: def schema(self, as_string=False):
      """The schema of this :class:`~perspective.View`, which is a key-value
      map that contains the column names and their Python data types.
  
      If the columns are aggregated, their aggregated types will be shown
      returned instead.
  
      Keyword Args:
          as_string (:obj:`bool`): returns data types as string
              representations, if ``True``.
  
      Returns:
          :obj:`dict`: A map of :obj:`str` column name to :obj:`str` or
              :obj:`type`, depending on the value of ``as_string`` kwarg.
      """
      if as_string:
          return {
              item[0]: item[1] for item in self._view.schema().items()
          }
  
      return {
          item[0]: _str_to_pythontype(item[1])
          for item in self._view.schema().items()
      }
  
imports: import pandas
  import json
  import datetime
  from functools import partial, wraps
  from random import random
  from .view_config import ViewConfig
  from ._data_formatter import to_format, _parse_format_options
  from ._constants import COLUMN_SEPARATOR_STRING
  from ._utils import _str_to_pythontype
  from ._callback_cache import _PerspectiveCallBackCache
  from ._date_validator import _PerspectiveDateValidator
  from .libpsppy import make_view_unit, make_view_zero, make_view_one, make_view_two, to_arrow_unit, to_arrow_zero, to_arrow_one, to_arrow_two, to_csv_unit, to_csv_zero, to_csv_one, to_csv_two, get_row_delta_unit, get_row_delta_zero, get_row_delta_one, get_row_delta_two, scalar_to_py
label_desc: Use image node_id 13 for calling the View obj's underlying member method code with example usage: obj.schema(as_string) and returns: unknown, unknown