code: def register() -> None:
      """
      Register pandas formatters and converters with matplotlib.
  
      This function modifies the global ``matplotlib.units.registry``
      dictionary. pandas adds custom converters for
  
      * pd.Timestamp
      * pd.Period
      * np.datetime64
      * datetime.datetime
      * datetime.date
      * datetime.time
  
      See Also
      --------
      deregister_matplotlib_converters : Remove pandas formatters and converters.
  
      Examples
      --------
      .. plot::
         :context: close-figs
  
          The following line is done automatically by pandas so
          the plot can be rendered:
  
          >>> pd.plotting.register_matplotlib_converters()
  
          >>> df = pd.DataFrame({'ts': pd.period_range('2020', periods=2, freq='M'),
          ...                    'y': [1, 2]
          ...                    })
          >>> plot = df.plot.line(x='ts', y='y')
  
      Unsetting the register manually an error will be raised:
  
      >>> pd.set_option("plotting.matplotlib.register_converters",
      ...               False)  # doctest: +SKIP
      >>> df.plot.line(x='ts', y='y')  # doctest: +SKIP
      Traceback (most recent call last):
      TypeError: float() argument must be a string or a real number, not 'Period'
      """
      plot_backend = _get_plot_backend("matplotlib")
      plot_backend.register()
  
imports: from __future__ import annotations
  from contextlib import contextmanager
  from typing import TYPE_CHECKING, Any
  from pandas.plotting._core import _get_plot_backend
label_desc: Use image node_id 2 for calling a global function with example usage: register() without return types