class_docstr: An array that can be iterated with a variable-length window, and which can
  provide different views on data from different perspectives.
  
  Parameters
  ----------
  data : np.ndarray
      The baseline data values. This array may be mutated by
      ``traverse(..., copy=False)`` calls.
  adjustments : dict[int -> list[Adjustment]]
      A dict mapping row indices to lists of adjustments to apply when we
      reach that row.
  missing_value : object
      A value to use to fill missing data in yielded windows.
      Should be a value coercible to `data.dtype`.
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docstr: Return a string representation of the data stored in this array.
docstr_tok: ["Return","a","string","representation","of","the","data","stored","in","this","array","."]
code: def inspect(self):
      """
      Return a string representation of the data stored in this array.
      """
      return dedent(
          """\
              Adjusted Array ({dtype}):
  
              Data:
              {data!r}
  
              Adjustments:
              {adjustments}
              """
      ).format(
          dtype=self.dtype.name,
          data=self.data,
          adjustments=self.adjustments,
      )
  
imports: from textwrap import dedent
  from functools import partial
  from numpy import bool_, dtype, float32, float64, int32, int64, int16, uint16, ndarray, uint32, uint8
  from six import iteritems
  from toolz import merge_with
  from zipline.errors import WindowLengthNotPositive, WindowLengthTooLong
  from zipline.lib.labelarray import LabelArray
  from zipline.utils.numpy_utils import datetime64ns_dtype, float64_dtype, int64_dtype, uint8_dtype
  from zipline.utils.memoize import lazyval
  from ._float64window import AdjustedArrayWindow
  from ._int64window import AdjustedArrayWindow
  from ._labelwindow import AdjustedArrayWindow
  from ._uint8window import AdjustedArrayWindow
label_desc: Use image node_id 8 for calling the AdjustedArray obj's underlying member method code with example usage: obj.inspect() and returns: dedent