code: def coerce_period_to_datetime_index(
      data: Optional[Union[pd.Series, pd.DataFrame, Any]],
      freq: Optional[str] = None,
      inplace: bool = False,
  ) -> Optional[Union[pd.Series, pd.DataFrame, Any]]:
      """Converts a dataframe or series index from PeriodIndex to DatetimeIndex
  
      Parameters
      ----------
      data : Optional[Union[pd.Series, pd.DataFrame, Any]]
          The data with a PeriodIndex that needs to be converted to DatetimeIndex
          If None, it does nothing.
      freq : Optional[str], optional
          The frequency to be used to convert the index, by default None which
          uses data.index.freq to perform the conversion
      inplace : bool, optional
          If True, convert inplace and do not return anything.
          If False, then do not modify the original object and return a copy with
          converted index, by default False
  
      Returns
      -------
      Optional[Union[pd.Series, pd.DataFrame, Any]]
          The data with DatetimeIndex. Note: If input is not of type pd.Series or
          pd.DataFrame, then no change is made to the data.
      """
      if isinstance(data, (pd.DataFrame, pd.Series)):
          data_ = data.copy() if not inplace else data
  
          if isinstance(data_.index, pd.PeriodIndex):
              if freq is None:
                  # We can allow it to infer it by default but it can sometimes
                  # infer MonthStart as MonthEnd. Passing the frequency to the
                  # conversion explicitly makes it more robust.
                  freq = data_.index.freq
  
              data_.index = data_.index.to_timestamp(freq=freq)
  
              # Corner Case Handling ----
              # When data.index is of type Q-DEC with only 2 points, frequency
              # is not set after conversion (details below). However, this
              # works OK if there are more than 2 data points.
              # Before Conversion: PeriodIndex(['2018Q2', '2018Q3'], dtype='period[Q-DEC]', freq='Q-DEC')
              # After Conversion: DatetimeIndex(['2018-06-30', '2018-09-30'], dtype='datetime64[ns]', freq=None)
              # Hence, setting it manually if the frequency is not set after conversion.
              if data_.index.freq is None:
                  data_.index.freq = freq
  
          if not inplace:
              return data_
  
      elif not inplace:
          return data
  
      return None
  
label_desc: Use image node_id 1 for calling a global function with example usage: coerce_period_to_datetime_index(data, freq, inplace) and returns: None, data_, data