code: def dist_subplot(
      fig: go.Figure, data: pd.Series, row: int, col: int
  ) -> go.Figure:
      """Function to add a histogram to a Plotly subplot
  
      Parameters
      ----------
      fig : go.Figure
          Plotly figure to which the ACF needs to be added
      data : pd.Series
          Data whose ACF needs to be computed
      row : int
          Row of the figure where the plot needs to be inserted. Starts from 1.
      col : int
          Column of the figure where the plot needs to be inserted. Starts from 1.
      name : Optional[str], optional
          Name to show when hovering over plot, by default None
  
      Returns
      -------
      go.Figure
          Returns back the plotly figure with histogram inserted.
      """
  
      temp_fig = px.histogram(data, color_discrete_sequence=["#1f77b4"])
      fig.add_trace(temp_fig.data[0], row=row, col=col)
  
      with fig.batch_update():
          fig.update_xaxes(
              title_text="Range of Values", row=row, col=col
          )
          fig.update_yaxes(title_text="PDF", row=row, col=col)
      return fig
  
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 6 for calling a global function with example usage: dist_subplot(fig, data, row, col) and returns: fig