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Hi there,
I just created my first patch for matplotlib, it's addressing bug 3176823.
I send the patch with an example (as suggested in the faq).
You can see the effect in the example: before patching it ignores the tz
argument, and marks are set at 23:00. The example dates are at 23:00
o'clock in utc, but should be displayed as 0:00, because the exmaple
"lives" in timezone Europe/Berlin.
Hopefully i got this converter stuff right, i changed in
dates.DateConverter:
def default_units(x, axis):
'Return the default unit for *x* or None'
- - return None
+ return x
and in axis.py i did
- - def axis_date(self):
+ def axis_date(self, tz):
"""
Sets up x-axis ticks and labels that treat the x data as dates.
+ *tz* is the time zone to use in labeling dates.
"""
import datetime
# should be enough to inform the unit conversion interface
# dates are comng in
- - self.update_units(datetime.date(2009,1,1))
+ self.update_units(tz.localize(datetime.datetime(2009,1,1)))
so that now DateConverter.axisinfo can now something about timezones:
def axisinfo(unit, axis):
'return the unit AxisInfo'
# make sure that the axis does not start at 0
- - majloc = AutoDateLocator(tz=unit)
- - majfmt = AutoDateFormatter(majloc, tz=unit)
+ tz = None
+ if getattr(unit, "tzinfo", None):
+ tz = unit.tzinfo
+
+ majloc = AutoDateLocator(tz=tz)
+ majfmt = AutoDateFormatter(majloc, tz=tz)
cheers,
Maximilian
PS: sry, im not that used to writing mails in english
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#coding: utf-8
import matplotlib
matplotlib.use("Qt4Agg")
import matplotlib.pyplot as pyplot
import matplotlib.dates as dates
import datetime
import pytz
utc = pytz.utc
berlin = pytz.timezone("Europe/Berlin")
mydates = [datetime.datetime(2011,1,i, 0, 0) for i in range(1,4)] #assume these dates are in berlin-timezone
berlindates = [berlin.localize(d) for d in mydates]
pyplot.plot_date(dates.date2num(berlindates), [1,2,3], xdate=True, ydate=False, tz=berlin)
#workaround before patch, to tell the formatter about timezone
#pyplot.gca().get_xaxis().set_major_formatter(dates.DateFormatter("%H",tz=berlin))
pyplot.show()
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