code: def _return_periodogram(
      data: pd.Series,
  ) -> Tuple[np.ndarray, np.ndarray]:
      """Returns the Periodgram data corresponding to the `data`
  
      Parameters
      ----------
      data : pd.Series
          Data for which the periodgram data must be obtained
  
      Returns
      -------
      Tuple[np.ndarray, np.ndarray]
          Frequency, Amplitude
      """
      freq, Pxx = periodogram(
          data.values,
          return_onesided=True,
          scaling="density",
          window="parzen",
      )
      ampl = 10 * np.log10(Pxx)
      return freq, ampl
  
imports: from math import ceil
  from typing import Any, Dict, List, Optional, Tuple, Union
  import matplotlib
  import matplotlib.pyplot
  import numpy
  import pandas
  import plotly.express
  import plotly.graph_objects
  import plotly.io
  from plotly.colors import DEFAULT_PLOTLY_COLORS
  from plotly.subplots import make_subplots
  from scipy.fft import fft, fftfreq
  from scipy.signal import periodogram
  from statsmodels.graphics.gofplots import qqplot
  from statsmodels.tsa.seasonal import STL, seasonal_decompose
  from statsmodels.tsa.stattools import acf, ccf, pacf
  from pycaret.internal.logging import get_logger
  from pycaret.utils.generic import _resolve_dict_keys
  from pycaret.utils.time_series import TSAllowedPlotDataTypes
label_desc: Use image node_id 9 for calling a global function with example usage: _return_periodogram(data) and returns: freq,  ampl