code: def plot_Scatterplot():
      df = df_iris()
      df = df.sample(frac=1)
  
      # Create Bokeh-Table with DataFrame:
      from bokeh.models import ColumnDataSource
      from bokeh.models.widgets import DataTable, TableColumn
  
      data_table = DataTable(
          columns=[
              TableColumn(field=Ci, title=Ci) for Ci in df.columns
          ],
          source=ColumnDataSource(df.head(10)),
      )
  
      # Create Scatterplot:
      p_scatter = df.plot_bokeh.scatter(
          x="petal length (cm)",
          y="sepal width (cm)",
          category="species",
          title="Iris DataSet Visualization",
          show_figure=False,
      )
  
      # Combine Div and Scatterplot via grid layout:
      return pandas_bokeh.plot_grid(
          [[data_table, p_scatter]],
          plot_width=400,
          plot_height=350,
          show_plot=False,
      )
  
imports: import inspect
  import os
  import re
  from functools import wraps
  from pathlib import Path
  from shutil import rmtree
  from typing import Callable
  import numpy
  import pandas
  import pandas_bokeh
label_desc: Use image node_id 14 for calling a global function with example usage: plot_Scatterplot() and returns: pandas_bokeh