code: def to_pandas(
      entry: DataEntry, freq: Optional[str] = None
  ) -> pd.Series:
      """
      Transform a dictionary into a pandas.Series object, using its "start" and
      "target" fields.
  
      Parameters
      ----------
      entry
          Dictionary containing the time series data.
      freq
          Frequency to use in the pandas.Series index.
  
      Returns
      -------
      pandas.Series
          Pandas time series object.
      """
      return pd.Series(
          entry[FieldName.TARGET],
          index=period_index(entry, freq=freq),
      )
  
imports: from typing import Optional
  import pandas
  from .common import DataEntry
  from .field_names import FieldName
label_desc: Use image node_id 3 for calling a global function with example usage: to_pandas(entry, freq) and returns: pd