code: def plot_Startimage():
      # Barplot:
      data = {
          "fruits": [
              "Apples",
              "Pears",
              "Nectarines",
              "Plums",
              "Grapes",
              "Strawberries",
          ],
          "2015": [2, 1, 4, 3, 2, 4],
          "2016": [5, 3, 3, 2, 4, 6],
          "2017": [3, 2, 4, 4, 5, 3],
      }
      df = pd.DataFrame(data).set_index("fruits")
      p_bar = df.plot_bokeh(
          kind="bar",
          ylabel="Price per Unit [€]",
          title="Fruit prices per Year",
          show_figure=False,
      )
  
      # Lineplot:
      np.random.seed(42)
      df = pd.DataFrame(
          {
              "Google": np.random.randn(1000) + 0.2,
              "Apple": np.random.randn(1000) + 0.17,
          },
          index=pd.date_range("1/1/2000", periods=1000),
      )
      df = df.cumsum()
      df = df + 50
      p_line = df.plot_bokeh(
          kind="line",
          title="Apple vs Google",
          xlabel="Date",
          ylabel="Stock price [$]",
          yticks=[0, 100, 200, 300, 400],
          ylim=(0, 400),
          colormap=["red", "blue"],
          show_figure=False,
      )
  
      # Scatterplot:
      df = df_iris()
      p_scatter = df.plot_bokeh(
          kind="scatter",
          x="petal length (cm)",
          y="sepal width (cm)",
          category="species",
          title="Iris DataSet Visualization",
          show_figure=False,
      )
  
      # Histogram:
      df_hist = pd.DataFrame(
          {
              "a": np.random.randn(1000) + 1,
              "b": np.random.randn(1000),
              "c": np.random.randn(1000) - 1,
          },
          columns=["a", "b", "c"],
      )
  
      p_hist = df_hist.plot_bokeh(
          kind="hist",
          bins=np.arange(-6, 6.5, 0.5),
          vertical_xlabel=True,
          normed=100,
          hovertool=False,
          title="Normal distributions",
          show_figure=False,
      )
  
      # Make Dashboard with Grid Layout:
      return pandas_bokeh.plot_grid(
          [[p_line, p_bar], [p_scatter, p_hist]],
          plot_width=450,
          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 7 for calling a global function with example usage: plot_Startimage() and returns: pandas_bokeh