diff --git a/lib/matplotlib/dates.py b/lib/matplotlib/dates.py
index d001fe450e8d..e6af7a5fe74e 100755
--- a/lib/matplotlib/dates.py
+++ b/lib/matplotlib/dates.py
@@ -629,13 +629,13 @@ class AutoDateFormatter(ticker.Formatter):
format string. The default looks like this::
self.scaled = {
- 365.0 : '%Y',
- 30. : '%b %Y',
- 1.0 : '%b %d %Y',
- 1./24. : '%H:%M:%S',
- 1. / (24. * 60.): '%H:%M:%S.%f',
- }
-
+ DAYS_PER_YEAR : '%Y',
+ DAYS_PER_MONTH : '%b %Y',
+ 1.0 : '%b %d %Y',
+ 1. / HOURS_PER_DAY : '%H:%M',
+ 1. / SEC_PER_DAY : '%H:%M:%S',
+ 1. / MUSECONDS_PER_DAY : '%H:%M:%S.%f'
+ }
The algorithm picks the key in the dictionary that is >= the
current scale and uses that format string. You can customize this
@@ -688,8 +688,9 @@ def __init__(self, locator, tz=None, defaultfmt='%Y-%m-%d'):
self.scaled = {DAYS_PER_YEAR: '%Y',
DAYS_PER_MONTH: '%b %Y',
1.0: '%b %d %Y',
- 1. / HOURS_PER_DAY: '%H:%M:%S',
- 1. / (MINUTES_PER_DAY): '%H:%M:%S.%f'}
+ 1. / HOURS_PER_DAY: '%H:%M',
+ 1. / SEC_PER_DAY: '%H:%M:%S',
+ 1. / MUSECONDS_PER_DAY: '%H:%M:%S.%f'}
def __call__(self, x, pos=None):
locator_unit_scale = float(self._locator._get_unit())
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