Mar 27, 2020 · Mar 27, 2020
diff --git a/doc/faq/howto_faq.rst b/doc/faq/howto_faq.rst
 As of Matplotlib 2.2, `numpy.datetime64` objects are handled the same way
 as `datetime.datetime` objects.

 If you prefer the pandas converters and locators, you can register their
 converter with the `matplotlib.units` module::

  from pandas.tseries import converter as pdtc
  pdtc.register()

 If you only want to use the `pandas` converter for `numpy.datetime64` values ::

  from pandas.tseries import converter as pdtc
  import matplotlib.units as munits
  import numpy as np

  munits.registry[np.datetime64] = pdtc.DatetimeConverter()
 If you prefer the pandas converters and locators, you can register them.  This
 is done automatically when calling a pandas plot function and may be
 unnecessary when using pandas instead of Matplotlib directly. ::

  from pandas.plotting import register_matplotlib_converters
  register_matplotlib_converters()


 .. _howto-figure-empty:
Original file line number	Diff line number	Diff line change
Expand Up		@@ -21,20 +21,12 @@ Plot `numpy.datetime64` values
		As of Matplotlib 2.2, `numpy.datetime64` objects are handled the same way
		as `datetime.datetime` objects.

		If you prefer the pandas converters and locators, you can register their
		converter with the `matplotlib.units` module::

		from pandas.tseries import converter as pdtc
		pdtc.register()

		If you only want to use the `pandas` converter for `numpy.datetime64` values ::

		from pandas.tseries import converter as pdtc
		import matplotlib.units as munits
		import numpy as np

		munits.registry[np.datetime64] = pdtc.DatetimeConverter()
		If you prefer the pandas converters and locators, you can register them. This
		is done automatically when calling a pandas plot function and may be
		unnecessary when using pandas instead of Matplotlib directly. ::

		from pandas.plotting import register_matplotlib_converters
		register_matplotlib_converters()


		.. _howto-figure-empty:
Expand Down