code: def _plot(
      data, x=None, y=None, subplots=False, ax=None, kind="line", **kwds
  ):
      from pyspark.pandas import DataFrame
  
      # function copied from pandas.plotting._core
      # and adapted to handle pandas-on-Spark DataFrame and Series
  
      kind = kind.lower().strip()
      kind = {"density": "kde"}.get(kind, kind)
      if kind in _all_kinds:
          klass = _plot_klass[kind]
      else:
          raise ValueError("%r is not a valid plot kind" % kind)
  
      # scatter and hexbin are inherited from PlanePlot which require x and y
      if kind in ("scatter", "hexbin"):
          plot_obj = klass(
              data, x, y, subplots=subplots, ax=ax, kind=kind, **kwds
          )
      else:
          # check data type and do preprocess before applying plot
          if isinstance(data, DataFrame):
              if x is not None:
                  data = data.set_index(x)
              # TODO: check if value of y is plottable
              if y is not None:
                  data = data[y]
  
          plot_obj = klass(
              data, subplots=subplots, ax=ax, kind=kind, **kwds
          )
      plot_obj.generate()
      plot_obj.draw()
      return plot_obj.result
  
imports: from pyspark.loose_version import LooseVersion
  import matplotlib
  import numpy
  from matplotlib.axes._base import _process_plot_format
  from pandas.core.dtypes.inference import is_list_like
  from pandas.io.formats.printing import pprint_thing
  from pandas.plotting._matplotlib import BarPlot, BoxPlot, HistPlot, PiePlot, AreaPlot, LinePlot, BarhPlot, ScatterPlot, KdePlot
  from pandas.plotting._core import PlotAccessor
  from pandas.plotting._matplotlib.core import MPLPlot
  from pyspark.pandas.plot import TopNPlotBase, SampledPlotBase, HistogramPlotBase, BoxPlotBase, unsupported_function, KdePlotBase
label_desc: Use image node_id 4 for calling a global function with example usage: _plot(data, x, y, subplots, ax, kind) and returns: plot_obj