class_docstr: Class Docstring
  
  - Styling (.style)
  - Plotting (.plot)
  - Callouts (.callout)
  - Axes (.axes)
  - Bokeh figure (.figure)
class_docstr_tok: ["Class","Docstring","-","Styling","(",".style",")","-","Plotting","(",".plot",")","-","Callouts","(",".callout",")","-","Axes","(",".axes",")","-","Bokeh","figure","(",".figure",")"]
docstr: Return a list of dictionaries of the data that have be plotted on the chart.
  
  Note:
      The format will depend on the types of plots that have been added.
docstr_tok: ["Return","a","list","of","dictionaries","of","the","data","that","have","be","plotted","on","the","chart",".","Note",":","The","format","will","depend","on","the","types","of","plots","that","have","been","added","."]
code: def data(self):
      """Return a list of dictionaries of the data that have be plotted on the chart.
  
      Note:
          The format will depend on the types of plots that have been added.
      """
      datasources = self.figure.select(
          {"type": bokeh.models.ColumnDataSource}
      )
      # Extract the data attribute from the ColumnDataSource object
      # and place in a list.
      datasources_list = list(map(lambda x: x.data, datasources))
      return datasources_list
  
imports: from collections import OrderedDict
  from functools import wraps
  import io
  from io import BytesIO
  import tempfile
  import warnings
  import bokeh
  from bokeh.io.export import _SVG_SCRIPT, wait_until_render_complete
  import bokeh.plotting
  from bokeh.embed import file_html
  from bokeh.resources import INLINE
  from IPython.display import display
  from PIL import Image
  from PIL.Image import Resampling
  from selenium import webdriver
  from selenium.webdriver.chrome.options import Options
  from chartify._core.style import Style
  from chartify._core.axes import BaseAxes, SecondYNumericalAxis, SecondAxis
  from chartify._core.plot import BasePlot
  from chartify._core.callout import Callout
  from chartify._core.options import options
label_desc: Use image node_id 6 for calling the Chart obj's underlying member method code with example usage: obj.data() and returns: datasources_list