8000 DOC: add FAQ about np.datetime64 by tacaswell · Pull Request #5625 · matplotlib/matplotlib · GitHub
[go: up one dir, main page]
Skip to content

DOC: add FAQ about np.datetime64 #5625

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Feb 14, 2016
Merged

DOC: add FAQ about np.datetime64 #5625

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
29 changes: 29 additions & 0 deletions doc/faq/howto_faq.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
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
Expand Down
0