code: def deserialize_series(blob: bytes) -> Series:
      df = DataFrame.from_dict(deserialize(blob, from_bytes=True))
      return df[df.columns[0]]
  
imports: from datetime import date
  from datetime import datetime
  from datetime import time
  import functools
  from io import BytesIO
  from dateutil import parser
  from jax import numpy
  from jaxlib.xla_extension import ArrayImpl
  from nacl.signing import SigningKey
  from nacl.signing import VerifyKey
  import networkx
  from networkx import DiGraph
  import numpy
  from pandas import DataFrame
  from pandas import Series
  from pandas._libs.tslibs.timestamps import Timestamp
  import pyarrow
  import pyarrow.parquet
  import pydantic
  from pymongo.collection import Collection
  from result import Err
  from result import Ok
  from result import Result
  import zmq.green
  from ..types.dicttuple import DictTuple
  from ..types.dicttuple import _Meta
  from .deserialize import _deserialize
  from .recursive_primitives import _serialize_kv_pairs
  from .recursive_primitives import deserialize_kv
  from .recursive_primitives import deserialize_type
  from .recursive_primitives import recursive_serde_register
  from .recursive_primitives import recursive_serde_register_type
  from .recursive_primitives import serialize_type
  from .serialize import _serialize
label_desc: Use image node_id 3 for calling a global function with example usage: deserialize_series(blob) and returns: df