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Commit855e3bb

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Merge pull request#18429 from jklymak/doc-fix-date-example
DOC: fix date example
2 parentse26d497 +8929644 commit855e3bb

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‎examples/text_labels_and_annotations/date.py

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formatters. See :doc:`/gallery/ticks_and_spines/major_minor_demo` for more
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information on controlling major and minor ticks.
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All Matplotlib date plotting is done by converting date instances into
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days since 0001-01-01 00:00:00 UTC plus one day (for historical reasons).
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The conversion, tick locating and formatting is done behind the scenes
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so this is most transparent to you. The :mod:`matplotlib.dates` module
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provides the converter functions `.date2num` and `.num2date`, which convert
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`datetime.datetime` and `numpy.datetime64` objects to and from Matplotlib's
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internal representation.
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An alternative way of displaying dates can be seen at
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:doc:`/gallery/ticks_and_spines/date_concise_formatter`.
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Matplotlib date plotting is done by converting date instances into
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days since an epoch (by default 1970-01-01T00:00:00). The
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:mod:`matplotlib.dates` module provides the converter functions `.date2num`
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and `.num2date`, which convert `datetime.datetime` and `numpy.datetime64`
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objects to and from Matplotlib's internal representation. These data
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types are registered with with the unit conversion mechanism described in
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:mod:`matplotlib.units`, so the conversion happens automatically for the user.
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The registration process also sets the default tick ``locator`` and
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``formatter`` for the axis to be `~.matplotlib.dates.AutoDateLocator` and
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`~.matplotlib.dates.AutoDateFormatter`. These can be changed manually with
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`.Axis.set_major_locator` and `.Axis.set_major_formatter`; see for example
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:doc:`/gallery/ticks_and_spines/date_demo_convert`.
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An alternative formatter is the `~.matplotlib.dates.ConciseDateFormatter`
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as described at :doc:`/gallery/ticks_and_spines/date_concise_formatter`,
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which often removes the need to rotate the tick labels.
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"""
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importnumpyasnp

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