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update FAQ on how to register pandas converters

`pandas.tseries.converter` no longer exists, and the individual converters arenot part of the public API so this change updates the documentation to reflecthow to properly register the pandas converters with matplotlib.

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doc/faq
- howto_faq.rst

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`‎doc/faq/howto_faq.rst`

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Original file line number	Diff line number	Diff line change
@@ -21,20 +21,12 @@ Plot `numpy.datetime64` values
`21`	`21`	As of Matplotlib 2.2, `numpy.datetime64` objects are handled the same way
`22`	`22`	as `datetime.datetime` objects.
`23`	`23`
`24`		`-If you prefer the pandas converters and locators, you can register their`
`25`		-converter with the `matplotlib.units` module::
`26`		`-`
`27`		`- from pandas.tseries import converter as pdtc`
`28`		`- pdtc.register()`
`29`		`-`
`30`		-If you only want to use the `pandas` converter for `numpy.datetime64` values ::
`31`		`-`
`32`		`- from pandas.tseries import converter as pdtc`
`33`		`- import matplotlib.units as munits`
`34`		`- import numpy as np`
`35`		`-`
`36`		`- munits.registry[np.datetime64] = pdtc.DatetimeConverter()`
	`24`	`+If you prefer the pandas converters and locators, you can register them. This`
	`25`	`+is done automatically when calling a pandas plot function and may be`
	`26`	`+unnecessary when using pandas instead of Matplotlib directly. ::`
`37`	`27`
	`28`	`+ from pandas.plotting import register_matplotlib_converters`
	`29`	`+ register_matplotlib_converters()`
`38`	`30`
`39`	`31`
`40`	`32`	`.. _howto-figure-empty:`

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`‎doc/faq/howto_faq.rst`

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