code: def __init__(
      self,
      pre_func,
      post_func,
      asset_finder,
      trading_day,
      start_date,
      end_date,
      date_column,
      date_format,
      timezone,
      symbol,
      mask,
      symbol_column,
      data_frequency,
      country_code,
      **kwargs,
  ):
      self.start_date = start_date
      self.end_date = end_date
      self.date_column = date_column
      self.date_format = date_format
      self.timezone = timezone
      self.mask = mask
      self.symbol_column = symbol_column or "symbol"
      self.data_frequency = data_frequency
      self.country_code = country_code
  
      invalid_kwargs = set(kwargs) - ALLOWED_READ_CSV_KWARGS
      if invalid_kwargs:
          raise TypeError(
              "Unexpected keyword arguments: %s" % invalid_kwargs,
          )
  
      self.pandas_kwargs = self.mask_pandas_args(kwargs)
  
      self.symbol = symbol
  
      self.finder = asset_finder
      self.trading_day = trading_day
  
      self.pre_func = pre_func
      self.post_func = post_func
  
imports: from abc import ABCMeta, abstractmethod
  from collections import namedtuple
  import hashlib
  from textwrap import dedent
  import warnings
  from logbook import Logger
  import numpy
  import pandas
  from pandas import read_csv
  import pytz
  import requests
  from six import StringIO, iteritems, with_metaclass
  from zipline.errors import MultipleSymbolsFound, SymbolNotFound, ZiplineError
  from zipline.protocol import DATASOURCE_TYPE, Event
  from zipline.assets import Equity
label_desc: Use image node_id 1 to create a new PandasCSV object from inherited base classes:  with example: obj = PandasCSV(pre_func, post_func, asset_finder, trading_day, start_date, end_date, date_column, date_format, timezone, symbol, mask, symbol_column, data_frequency, country_code)