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DOC: fix date example #18429

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Sep 8, 2020
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DOC: fix date example #18429

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d926cb0
DOC: fix date example
jklymak Sep 7, 2020
079f472
DOC: correct cross-reference names
tacaswell Sep 7, 2020
8929644
Update examples/text_labels_and_annotations/date.py
jklymak Sep 7, 2020
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26 changes: 16 additions & 10 deletions examples/text_labels_and_annotations/date.py
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Expand Up @@ -7,16 +7,22 @@
formatters. See :doc:`/gallery/ticks_and_spines/major_minor_demo` for more
information on controlling major and minor ticks.

All Matplotlib date plotting is done by converting date instances into
days since 0001-01-01 00:00:00 UTC plus one day (for historical reasons).
The conversion, tick locating and formatting is done behind the scenes
so this is most transparent to you. The :mod:`matplotlib.dates` module
provides the converter functions `.date2num` and `.num2date`, which convert
`datetime.datetime` and `numpy.datetime64` objects to and from Matplotlib's
internal representation.

An alternative way of displaying dates can be seen at
:doc:`/gallery/ticks_and_spines/date_concise_formatter`.
Matplotlib date plotting is done by converting date instances into
days since an epoch (by default 1970-01-01T00:00:00). The
:mod:`matplotlib.dates` module provides the converter functions `.date2num`
and `.num2date`, which convert `datetime.datetime` and `numpy.datetime64`
objects to and from Matplotlib's internal representation. These data
types are registered with with the unit conversion mechanism described in
:mod:`matplotlib.units`, so the conversion happens automatically for the user.
The registration process also sets the default tick ``locator`` and
``formatter`` for the axis to be `~.matplotlib.dates.AutoDateLocator` and
`~.matplotlib.dates.AutoDateFormatter`. These can be changed manually with
`.Axis.set_major_locator` and `.Axis.set_major_formatter`; see for example
:doc:`/gallery/ticks_and_spines/date_demo_convert`.

An alternative formatter is the `~.matplotlib.dates.ConciseDateFormatter`
as described at :doc:`/gallery/ticks_and_spines/date_concise_formatter`,
which often removes the need to rotate the tick labels.
"""

import numpy as np
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