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Merged
merged 8 commits into from
Oct 17, 2016
Merged

Backports for 2.0 #7284

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ef06f5f
Merge pull request #4874 from sargas/cleanup-anchored-artists
jenshnielsen Dec 26, 2015
fed6bdd
Merge pull request #5204 from gcallah/master
mdboom Nov 8, 2015
e2fd2aa
Merge pull request #5625 from tacaswell/faq_datetime64
efiring Feb 14, 2016
944546c
Merge pull request #5871 from zblz/fix-sized-delims
mdboom Jan 18, 2016
07d17ba
Merge pull request #5951 from efiring/tk_raise
pelson Feb 3, 2016
848cfe5
Merge pull request #6583 from alcinos/patch-1
tacaswell Oct 3, 2016
7d10d33
Merge pull request #6879 from mdboom/delete-font-cache-in-testing
tacaswell Aug 2, 2016
734b702
Revert backport of "Merge pull request #5383 from mdboom/hidpi-nbagg"
QuLogic Oct 16, 2016
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Merge pull request #5625 from tacaswell/faq_datetime64 
DOC: add FAQ about np.datetime64
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@efiring @QuLogic
efiring authored and QuLogic committed Oct 16, 2016
commit e2fd2aa9cc9bca6acda4b49d412ca0a6f96ba81e
29 changes: 29 additions & 0 deletions doc/faq/howto_faq.rst
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Expand Up @@ -14,6 +14,35 @@ How-To
Plotting: howto
===============

.. _howto-datetime64:

Plot `numpy.datetime64` values
------------------------------

For matplotlib to plot dates (or any scalar with units) a converter
to float needs to be registered with the `matplolib.units` module. The
current best converters for `datetime64` values are in `pandas`. Simply
importing `pandas` ::

import pandas as pd

should be sufficient as `pandas` will try to install the converters
on import. If that does not work, or you need to reset `munits.registry`
you can explicitly install the `pandas` converters by ::

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

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

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

munits.registry[np.datetime64] = pdtc.DatetimeConverter()



.. _howto-findobj:

Find all objects in a figure of a certain type
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