class_docstr: A PipelineLoader that reads its input from DataFrames.
  
  Mostly useful for testing, but can also be used for real work if your data
  fits in memory.
  
  Parameters
  ----------
  column : zipline.pipeline.data.BoundColumn
      The column whose data is loadable by this loader.
  baseline : pandas.DataFrame
      A DataFrame with index of type DatetimeIndex and columns of type
      Int64Index.  Dates should be labelled with the first date on which a
      value would be **available** to an algorithm.  This means that OHLCV
      data should generally be shifted back by a trading day before being
      supplied to this class.
  
  adjustments : pandas.DataFrame, default=None
      A DataFrame with the following columns:
          sid : int
          value : any
          kind : int (zipline.pipeline.loaders.frame.ADJUSTMENT_TYPES)
          start_date : datetime64 (can be NaT)
          end_date : datetime64 (must be set)
          apply_date : datetime64 (must be set)
  
      The default of None is interpreted as "no adjustments to the baseline".
docstr: Make sure a passed column is our column.
          
docstr_tok: ["Make","sure","a","passed","column","is","our","column","."]
code: def _validate_input_column(self, column):
      """Make sure a passed column is our column."""
      if column != self.column and column.unspecialize() != self.column:
          raise ValueError("Can't load unknown column %s" % column)
  
file_path: zipline/zipline/pipeline/loaders/frame.py
imports: from functools import partial
  from interface import implements
  from numpy import ix_, zeros
  from pandas import DataFrame, DatetimeIndex, Index, Int64Index
  from zipline.lib.adjusted_array import AdjustedArray
  from zipline.lib.adjustment import make_adjustment_from_labels
  from zipline.utils.numpy_utils import as_column
  from .base import PipelineLoader
label_desc: Use image node_id 4 for calling the DataFrameLoader obj's underlying member method code with example usage: obj._validate_input_column(column) without return types