# test that numpy dates work properly...

base = datetime.datetime(2017, 1, 1)

time = [base + datetime.timedelta(days=x) for x in range(0, 3)]

timenp = np.array(time, dtype='datetime64[ns]')

data = np.array([0., 2., 1.])

fig = plt.figure(figsize=(10, 2))

ax = fig.add_subplot(1, 1, 1)

h, = ax.plot(time, data)

hnp, = ax.plot(timenp, data)

np.testing.assert_equal(h.get_xdata(orig=False), hnp.get_xdata(orig=False))

fig = plt.figure(figsize=(10, 2))

ax = fig.add_subplot(1, 1, 1)

h, = ax.plot(data, time)

hnp, = ax.plot(data, timenp)

time = mdates.date2num(t0)

tnp = np.array(t0, dtype=dtype)

nptime = mdates.date2num(tnp)

t0 = datetime.datetime(2017, 1, 1, 0, 1, 1)

tmpl = [mdates.date2num(t0), np.nan]

tnp = np.array([t0, 'NaT'], dtype=dtype)

nptime = mdates.date2num(tnp)

# Without tzinfo

base = datetime.datetime(2022, 12, 15)

dates = np.ma.array([base + datetime.timedelta(days=(2 * i))

for i in range(7)], mask=[0, 1, 1, 0, 0, 0, 1])

npdates = mdates.date2num(dates)

np.testing.assert_array_equal(np.ma.getmask(npdates),

(False, True, True, False, False, False,

True))

# With tzinfo

base = datetime.datetime(2022, 12, 15, tzinfo=mdates.UTC)

dates = np.ma.array([base + datetime.timedelta(days=(2 * i))

for i in range(7)], mask=[0, 1, 1, 0, 0, 0, 1])

npdates = mdates.date2num(dates)

np.testing.assert_array_equal(np.ma.getmask(npdates),

(False, True, True, False, False, False,

# make sure we do the right thing when told to plot dates even

# if no date data has been presented, cf

# http://sourceforge.net/tracker/?func=detail&aid=2850075&group_id=80706&atid=560720

fig, ax = plt.subplots()

ax.xaxis_date()

fig.draw_without_rendering()

np.testing.assert_allclose(ax.get_xlim(),

[mdates.date2num(np.datetime64('1970-01-01')),

mdates.date2num(np.datetime64('1970-01-02'))])

mdates._reset_epoch_test_example()

mdates.set_epoch('0000-12-31')

fig, ax = plt.subplots()

ax.xaxis_date()

fig.draw_without_rendering()

np.testing.assert_allclose(ax.get_xlim(),

[mdates.date2num(np.datetime64('1970-01-01')),

mdates.date2num(np.datetime64('1970-01-02'))])

fig = plt.figure()

ax = fig.add_subplot()

ax.plot([50, 70], [1, 2])

ax.xaxis.axis_date()

# make sure that axhline doesn't set the xlimits...

fig, ax = plt.subplots()

ax.axhline(1.5)

ax.plot([np.datetime64('2016-01-01'), np.datetime64('2016-01-02')], [1, 2])

np.testing.assert_allclose(ax.get_xlim(),

[mdates.date2num(np.datetime64('2016-01-01')),

mdates.date2num(np.datetime64('2016-01-02'))])

mdates._reset_epoch_test_example()

mdates.set_epoch('0000-12-31')

fig, ax = plt.subplots()

ax.axhline(1.5)

ax.plot([np.datetime64('2016-01-01'), np.datetime64('2016-01-02')], [1, 2])

np.testing.assert_allclose(ax.get_xlim(),

[mdates.date2num(np.datetime64('2016-01-01')),

mdates.date2num(np.datetime64('2016-01-02'))])

# test axhspan with date inputs

t0 = datetime.datetime(2009, 1, 20)

tf = datetime.datetime(2009, 1, 21)

fig, ax = plt.subplots()

ax.axhspan(t0, tf, facecolor="blue", alpha=0.25)

ax.set_ylim(t0 - datetime.timedelta(days=5),

tf + datetime.timedelta(days=5))

# test axvspan with date inputs

t0 = datetime.datetime(2000, 1, 20)

tf = datetime.datetime(2010, 1, 21)

fig, ax = plt.subplots()

ax.axvspan(t0, tf, facecolor="blue", alpha=0.25)

ax.set_xlim(t0 - datetime.timedelta(days=720),

tf + datetime.timedelta(days=720))

# test axhline with date inputs

t0 = datetime.datetime(2009, 1, 20)

tf = datetime.datetime(2009, 1, 31)

fig, ax = plt.subplots()

ax.axhline(t0, color="blue", lw=3)

ax.set_ylim(t0 - datetime.timedelta(days=5),

tf + datetime.timedelta(days=5))

# test axvline with date inputs

t0 = datetime.datetime(2000, 1, 20)

tf = datetime.datetime(2000, 1, 21)

fig, ax = plt.subplots()

ax.axvline(t0, color="red", lw=3)

ax.set_xlim(t0 - datetime.timedelta(days=5),

tf + datetime.timedelta(days=5))

# Attempt to test SF 2715172, see

# https://sourceforge.net/tracker/?func=detail&aid=2715172&group_id=80706&atid=560720

# setting equal datetimes triggers and expander call in

# transforms.nonsingular which results in too many ticks in the

# DayLocator. This should emit a log at WARNING level.

caplog.set_level("WARNING")

t0 = datetime.datetime(2000, 1, 20)

tf = datetime.datetime(2000, 1, 20)

fig, ax = plt.subplots()

with pytest.warns(UserWarning) as rec:

ax.set_xlim((t0, tf), auto=True)

assert len(rec) == 1

assert ('Attempting to set identical low and high xlims'

in str(rec[0].message))

ax.plot([], [])

ax.xaxis.set_major_locator(mdates.DayLocator())

v = ax.xaxis.get_major_locator()()

assert len(v) > 1000

# The warning is emitted multiple times because the major locator is also

# called both when placing the minor ticks (for overstriking detection) and

# during tick label positioning.

assert caplog.records and all(

record.name == "matplotlib.ticker" and record.levelname == "WARNING"

for record in caplog.records)

@functools.wraps(thefunc)

def wrapper():

mdates._reset_epoch_test_example()

mdates.set_epoch('2000-01-01')

thefunc()

mdates._reset_epoch_test_example()

import matplotlib.testing.jpl_units as units

units.register()

# This will cause the RRuleLocator to go out of bounds when it tries

# to add padding to the limits, so we make sure it caps at the correct

# boundary values.

t0 = datetime.datetime(1000, 1, 1)

tf = datetime.datetime(6000, 1, 1)

fig = plt.figure()

ax = plt.subplot()

ax.set_autoscale_on(True)

ax.plot([t0, tf], [0.0, 1.0], marker='o')

rrule = mdates.rrulewrapper(dateutil.rrule.YEARLY, interval=500)

locator = mdates.RRuleLocator(rrule)

ax.xaxis.set_major_locator(locator)

ax.xaxis.set_major_formatter(mdates.AutoDateFormatter(locator))

ax.autoscale_view()

loc = mdates.DayLocator()

x1 = datetime.datetime(year=1, month=1, day=1, tzinfo=mdates.UTC)

y1 = datetime.datetime(year=1, month=1, day=16, tzinfo=mdates.UTC)

loc.tick_values(x1, y1)

# if d1 and d2 are very close together, rrule cannot create

# reasonable tick intervals; ensure that this is handled properly

rrule = mdates.rrulewrapper(dateutil.rrule.SECONDLY, interval=5)

loc = mdates.RRuleLocator(rrule)

d1 = datetime.datetime(year=2020, month=1, day=1)

d2 = datetime.datetime(year=2020, month=1, day=1, microsecond=1)

expected = ['2020-01-01 00:00:00+00:00',

'2020-01-01 00:00:00.000001+00:00']

import matplotlib.testing.jpl_units as units

units.register()

# Lets make sure that DateFormatter will allow us to have tick marks

# at intervals of fractional seconds.

t0 = datetime.datetime(2001, 1, 1, 0, 0, 0)

tf = datetime.datetime(2001, 1, 1, 0, 0, 1)

fig = plt.figure()

ax = plt.subplot()

ax.set_autoscale_on(True)

ax.plot([t0, tf], [0.0, 1.0], marker='o')

# rrule = mpldates.rrulewrapper( dateutil.rrule.YEARLY, interval=500 )

# locator = mpldates.RRuleLocator( rrule )

# ax.xaxis.set_major_locator( locator )

# ax.xaxis.set_major_formatter( mpldates.AutoDateFormatter(locator) )

ax.autoscale_view()

"""

plt.rcParams["date.autoformatter.minute"] = "%d %H:%M"

t = [datetime.datetime(2018, 9, 30, 8, 0),

datetime.datetime(2018, 9, 30, 8, 59),

datetime.datetime(2018, 9, 30, 10, 30)]

x = [2, 3, 1]

fig, ax = plt.subplots()

ax.plot(t, x)

ax.xaxis.set_major_locator(mdates.MinuteLocator((0, 30)))

fig.canvas.draw()

ticklabels = [tl.get_text() for tl in ax.get_xticklabels()]

expected = ['30 08:00', '30 08:30', '30 09:00',

'30 09:30', '30 10:00', '30 10:30']

assert ticklabels == expected

ax.xaxis.set_major_locator(mticker.NullLocator())

ax.xaxis.set_minor_locator(mdates.MinuteLocator((5, 55)))

decoy_loc = mdates.MinuteLocator((12, 27))

ax.xaxis.set_minor_formatter(mdates.AutoDateFormatter(decoy_loc))

ax.xaxis.set_minor_locator(mdates.MinuteLocator((15, 45)))

fig.canvas.draw()

ticklabels = [tl.get_text() for tl in ax.get_xticklabels(which="minor")]

expected = ['30 08:15', '30 08:45', '30 09:15', '30 09:45', '30 10:15']

class _Locator:

def _get_unit(self): return -11

def callable_formatting_function(dates, _):

return [dt.strftime('%d-%m//%Y') for dt in dates]

formatter = mdates.AutoDateFormatter(_Locator())

formatter.scaled[-10] = callable_formatting_function

style.use("default")

d1 = datetime.datetime(1990, 1, 1)

d2 = d1 + delta

locator = mdates.AutoDateLocator(interval_multiples=False)

locator.create_dummy_axis()

locator.axis.set_view_interval(mdates.date2num(d1), mdates.date2num(d2))

formatter = mdates.AutoDateFormatter(locator, usetex=True)

"""

start = datetime.datetime(2011, 1, 1, tzinfo=mdates.UTC)

end = datetime.datetime(2011, 1, 2, tzinfo=mdates.UTC)

delta = datetime.timedelta(hours=1)

# We expect 24 values in drange(start, end, delta), because drange returns

# dates from an half open interval [start, end)

assert len(mdates.drange(start, end, delta)) == 24

# Same if interval ends slightly earlier

end = end - datetime.timedelta(microseconds=1)

assert len(mdates.drange(start, end, delta)) == 24

# if end is a little bit later, we expect the range to contain one element

# more

end = end + datetime.timedelta(microseconds=2)

assert len(mdates.drange(start, end, delta)) == 25

# reset end

end = datetime.datetime(2011, 1, 2, tzinfo=mdates.UTC)

# and tst drange with "complicated" floats:

# 4 hours = 1/6 day, this is an "dangerous" float

delta = datetime.timedelta(hours=4)

daterange = mdates.drange(start, end, delta)

assert len(daterange) == 6

def _create_auto_date_locator(date1, date2):

locator = mdates.AutoDateLocator(interval_multiples=False)

locator.create_dummy_axis()

locator.axis.set_view_interval(*mdates.date2num([date1, date2]))

return locator

d1 = datetime.datetime(1990, 1, 1)

results = ([datetime.timedelta(weeks=52 * 200),

['1990-01-01 00:00:00+00:00', '2010-01-01 00:00:00+00:00',

'2030-01-01 00:00:00+00:00', '2050-01-01 00:00:00+00:00',

'2070-01-01 00:00:00+00:00', '2090-01-01 00:00:00+00:00',

'2110-01-01 00:00:00+00:00', '2130-01-01 00:00:00+00:00',

'2150-01-01 00:00:00+00:00', '2170-01-01 00:00:00+00:00']

],

[datetime.timedelta(weeks=52),

['1990-01-01 00:00:00+00:00', '1990-02-01 00:00:00+00:00',

'1990-03-01 00:00:00+00:00', '1990-04-01 00:00:00+00:00',

'1990-05-01 00:00:00+00:00', '1990-06-01 00:00:00+00:00',

'1990-07-01 00:00:00+00:00', '1990-08-01 00:00:00+00:00',

'1990-09-01 00:00:00+00:00', '1990-10-01 00:00:00+00:00',

'1990-11-01 00:00:00+00:00', '1990-12-01 00:00:00+00:00']

],

[datetime.timedelta(days=141),

['1990-01-05 00:00:00+00:00', '1990-01-26 00:00:00+00:00',

'1990-02-16 00:00:00+00:00', '1990-03-09 00:00:00+00:00',

'1990-03-30 00:00:00+00:00', '1990-04-20 00:00:00+00:00',

'1990-05-11 00:00:00+00:00']

],

[datetime.timedelta(days=40),

['1990-01-03 00:00:00+00:00', '1990-01-10 00:00:00+00:00',

'1990-01-17 00:00:00+00:00', '1990-01-24 00:00:00+00:00',

'1990-01-31 00:00:00+00:00', '1990-02-07 00:00:00+00:00']

],

[datetime.timedelta(hours=40),

['1990-01-01 00:00:00+00:00', '1990-01-01 04:00:00+00:00',

'1990-01-01 08:00:00+00:00', '1990-01-01 12:00:00+00:00',

'1990-01-01 16:00:00+00:00', '1990-01-01 20:00:00+00:00',

'1990-01-02 00:00:00+00:00', '1990-01-02 04:00:00+00:00',

'1990-01-02 08:00:00+00:00', '1990-01-02 12:00:00+00:00',

'1990-01-02 16:00:00+00:00']

],

[datetime.timedelta(minutes=20),

['1990-01-01 00:00:00+00:00', '1990-01-01 00:05:00+00:00',

'1990-01-01 00:10:00+00:00', '1990-01-01 00:15:00+00:00',

'1990-01-01 00:20:00+00:00']

],

[datetime.timedelta(seconds=40),

['1990-01-01 00:00:00+00:00', '1990-01-01 00:00:05+00:00',

'1990-01-01 00:00:10+00:00', '1990-01-01 00:00:15+00:00',

'1990-01-01 00:00:20+00:00', '1990-01-01 00:00:25+00:00',

'1990-01-01 00:00:30+00:00', '1990-01-01 00:00:35+00:00',

'1990-01-01 00:00:40+00:00']

],

[datetime.timedelta(microseconds=1500),

['1989-12-31 23:59:59.999500+00:00',

'1990-01-01 00:00:00+00:00',

'1990-01-01 00:00:00.000500+00:00',

'1990-01-01 00:00:00.001000+00:00',

'1990-01-01 00:00:00.001500+00:00',

'1990-01-01 00:00:00.002000+00:00']

],

)

for t_delta, expected in results:

d2 = d1 + t_delta

locator = _create_auto_date_locator(d1, d2)

assert list(map(str, mdates.num2date(locator()))) == expected

locator = mdates.AutoDateLocator(interval_multiples=False)

assert locator.maxticks == {0: 11, 1: 12, 3: 11, 4: 12, 5: 11, 6: 11, 7: 8}

locator = mdates.AutoDateLocator(maxticks={dateutil.rrule.MONTHLY: 5})

assert locator.maxticks == {0: 11, 1: 5, 3: 11, 4: 12, 5: 11, 6: 11, 7: 8}

locator = mdates.AutoDateLocator(maxticks=5)

def _create_auto_date_locator(date1, date2):

locator = mdates.AutoDateLocator(interval_multiples=True)

locator.create_dummy_axis()

locator.axis.set_view_interval(*mdates.date2num([date1, date2]))

return locator

results = ([datetime.timedelta(weeks=52 * 200),

['1980-01-01 00:00:00+00:00', '2000-01-01 00:00:00+00:00',

'2020-01-01 00:00:00+00:00', '2040-01-01 00:00:00+00:00',

'2060-01-01 00:00:00+00:00', '2080-01-01 00:00:00+00:00',

'2100-01-01 00:00:00+00:00', '2120-01-01 00:00:00+00:00',

'2140-01-01 00:00:00+00:00', '2160-01-01 00:00:00+00:00',

'2180-01-01 00:00:00+00:00', '2200-01-01 00:00:00+00:00']

],

[datetime.timedelta(weeks=52),

['1997-01-01 00:00:00+00:00', '1997-02-01 00:00:00+00:00',

'1997-03-01 00:00:00+00:00', '1997-04-01 00:00:00+00:00',

'1997-05-01 00:00:00+00:00', '1997-06-01 00:00:00+00:00',

'1997-07-01 00:00:00+00:00', '1997-08-01 00:00:00+00:00',

'1997-09-01 00:00:00+00:00', '1997-10-01 00:00:00+00:00',

'1997-11-01 00:00:00+00:00', '1997-12-01 00:00:00+00:00']

],

[datetime.timedelta(days=141),

['1997-01-01 00:00:00+00:00', '1997-01-15 00:00:00+00:00',

'1997-02-01 00:00:00+00:00', '1997-02-15 00:00:00+00:00',

'1997-03-01 00:00:00+00:00', '1997-03-15 00:00:00+00:00',

'1997-04-01 00:00:00+00:00', '1997-04-15 00:00:00+00:00',

'1997-05-01 00:00:00+00:00', '1997-05-15 00:00:00+00:00']

],

[datetime.timedelta(days=40),

['1997-01-01 00:00:00+00:00', '1997-01-05 00:00:00+00:00',

'1997-01-09 00:00:00+00:00', '1997-01-13 00:00:00+00:00',

'1997-01-17 00:00:00+00:00', '1997-01-21 00:00:00+00:00',

'1997-01-25 00:00:00+00:00', '1997-01-29 00:00:00+00:00',

'1997-02-01 00:00:00+00:00', '1997-02-05 00:00:00+00:00',

'1997-02-09 00:00:00+00:00']

],

[datetime.timedelta(hours=40),

['1997-01-01 00:00:00+00:00', '1997-01-01 04:00:00+00:00',

'1997-01-01 08:00:00+00:00', '1997-01-01 12:00:00+00:00',

'1997-01-01 16:00:00+00:00', '1997-01-01 20:00:00+00:00',

'1997-01-02 00:00:00+00:00', '1997-01-02 04:00:00+00:00',

'1997-01-02 08:00:00+00:00', '1997-01-02 12:00:00+00:00',

'1997-01-02 16:00:00+00:00']

],

[datetime.timedelta(minutes=20),

['1997-01-01 00:00:00+00:00', '1997-01-01 00:05:00+00:00',

'1997-01-01 00:10:00+00:00', '1997-01-01 00:15:00+00:00',

'1997-01-01 00:20:00+00:00']

],

[datetime.timedelta(seconds=40),

['1997-01-01 00:00:00+00:00', '1997-01-01 00:00:05+00:00',

'1997-01-01 00:00:10+00:00', '1997-01-01 00:00:15+00:00',

'1997-01-01 00:00:20+00:00', '1997-01-01 00:00:25+00:00',

'1997-01-01 00:00:30+00:00', '1997-01-01 00:00:35+00:00',

'1997-01-01 00:00:40+00:00']

],

[datetime.timedelta(microseconds=1500),

['1996-12-31 23:59:59.999500+00:00',

'1997-01-01 00:00:00+00:00',

'1997-01-01 00:00:00.000500+00:00',

'1997-01-01 00:00:00.001000+00:00',

'1997-01-01 00:00:00.001500+00:00',

'1997-01-01 00:00:00.002000+00:00']

],

)

d1 = datetime.datetime(1997, 1, 1)

for t_delta, expected in results:

d2 = d1 + t_delta

locator = _create_auto_date_locator(d1, d2)

locator = mdates.AutoDateLocator(interval_multiples=True)

formatter = mdates.ConciseDateFormatter(locator)

year_1996 = 9861.0

strings = formatter.format_ticks([

year_1996,

year_1996 + 500 / mdates.MUSECONDS_PER_DAY,

year_1996 + 900 / mdates.MUSECONDS_PER_DAY])

def _create_auto_date_locator(date1, date2):

fig, ax = plt.subplots()

locator = mdates.AutoDateLocator(interval_multiples=True)

formatter = mdates.ConciseDateFormatter(locator)

ax.yaxis.set_major_locator(locator)

ax.yaxis.set_major_formatter(formatter)

ax.set_ylim(date1, date2)

fig.canvas.draw()

sts = [st.get_text() for st in ax.get_yticklabels()]

return sts

d1 = datetime.datetime(1997, 1, 1)

results = ([datetime.timedelta(weeks=52 * 200),

[str(t) for t in range(1980, 2201, 20)]

],

[datetime.timedelta(weeks=52),

['1997', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug',

'Sep', 'Oct', 'Nov', 'Dec']

],

[datetime.timedelta(days=141),

['Jan', '15', 'Feb', '15', 'Mar', '15', 'Apr', '15',

'May', '15']

],

[datetime.timedelta(days=40),

['Jan', '05', '09', '13', '17', '21', '25', '29', 'Feb',

'05', '09']

],

[datetime.timedelta(hours=40),

['Jan-01', '04:00', '08:00', '12:00', '16:00', '20:00',

'Jan-02', '04:00', '08:00', '12:00', '16:00']

],

[datetime.timedelta(minutes=20),

['00:00', '00:05', '00:10', '00:15', '00:20']

],

[datetime.timedelta(seconds=40),

['00:00', '05', '10', '15', '20', '25', '30', '35', '40']

],

[datetime.timedelta(seconds=2),

['59.5', '00:00', '00.5', '01.0', '01.5', '02.0', '02.5']

],

)

for t_delta, expected in results:

d2 = d1 + t_delta

strings = _create_auto_date_locator(d1, d2)

d1 = datetime.datetime(1997, 1, 1)

d2 = d1 + t_delta

fig, ax = plt.subplots()

locator = mdates.AutoDateLocator()

formatter = mdates.ConciseDateFormatter(locator)

ax.xaxis.set_major_locator(locator)

ax.xaxis.set_major_formatter(formatter)

ax.plot([d1, d2], [0, 0])

fig.canvas.draw()

# This test demonstrates problems introduced by gh-23417 (reverted in gh-25278)

# In particular, downstream libraries like Pandas had their designated converters

# overridden by actions like setting xlim (or plotting additional points using

# stdlib/numpy dates and string date representation, which otherwise work fine with

# their date converters)

# While this is a bit of a toy example that would be unusual to see it demonstrates

# the same ideas (namely having a valid converter already applied that is desired)

# without introducing additional subclasses.

# See also discussion at gh-25219 for how Pandas was affected

x = [datetime.datetime(2000, 1, 1), datetime.datetime(2020, 2, 20)]

y = [0, 1]

fig, ax = plt.subplots()

ax.plot(x, y)

# Bypass Switchable date converter

ax.xaxis.converter = conv = mdates.ConciseDateConverter()

assert ax.xaxis.units is None

ax.set_xlim(*x)

fig, ax = plt.subplots()

d1 = datetime.datetime(1997, 1, 1)

d2 = d1 + datetime.timedelta(weeks=520)

locator = mdates.AutoDateLocator()

formatter = mdates.ConciseDateFormatter(locator)

ax.xaxis.set_major_locator(locator)

ax.xaxis.set_major_formatter(formatter)

ax.plot([d1, d2], [0, 0])

fig.draw_without_rendering()

assert formatter.get_offset() == ''

ax.set_xlim(d1, d1 + datetime.timedelta(weeks=3))

fig.draw_without_rendering()

assert formatter.get_offset() == '1997-Jan'

ax.set_xlim(d1 + datetime.timedelta(weeks=7),

d1 + datetime.timedelta(weeks=30))

fig.draw_without_rendering()

assert formatter.get_offset() == '1997'

ax.set_xlim(d1, d1 + datetime.timedelta(weeks=520))

fig.draw_without_rendering()

d1 = datetime.datetime(1997, 1, 1)

d2 = d1 + t_delta

locator = mdates.AutoDateLocator(interval_multiples=True)

locator.create_dummy_axis()

locator.axis.set_view_interval(mdates.date2num(d1), mdates.date2num(d2))

formatter = mdates.ConciseDateFormatter(locator, usetex=True)

formats = ['%Y', '%m/%Y', 'day: %d',

'%H hr %M min', '%H hr %M min', '%S.%f sec']

def _create_auto_date_locator(date1, date2):

fig, ax = plt.subplots()

locator = mdates.AutoDateLocator(interval_multiples=True)

formatter = mdates.ConciseDateFormatter(locator, formats=formats)

ax.yaxis.set_major_locator(locator)

ax.yaxis.set_major_formatter(formatter)

ax.set_ylim(date1, date2)

fig.canvas.draw()

sts = [st.get_text() for st in ax.get_yticklabels()]

return sts

d1 = datetime.datetime(1997, 1, 1)

results = (

[datetime.timedelta(weeks=52 * 200), [str(t) for t in range(1980,

2201, 20)]],

[datetime.timedelta(weeks=52), [

'1997', '02/1997', '03/1997', '04/1997', '05/1997', '06/1997',

'07/1997', '08/1997', '09/1997', '10/1997', '11/1997', '12/1997',

]],

[datetime.timedelta(days=141), [

'01/1997', 'day: 15', '02/1997', 'day: 15', '03/1997', 'day: 15',

'04/1997', 'day: 15', '05/1997', 'day: 15',

]],

[datetime.timedelta(days=40), [

'01/1997', 'day: 05', 'day: 09', 'day: 13', 'day: 17', 'day: 21',

'day: 25', 'day: 29', '02/1997', 'day: 05', 'day: 09',

]],

[datetime.timedelta(hours=40), [

'day: 01', '04 hr 00 min', '08 hr 00 min', '12 hr 00 min',

'16 hr 00 min', '20 hr 00 min', 'day: 02', '04 hr 00 min',

'08 hr 00 min', '12 hr 00 min', '16 hr 00 min',

]],

[datetime.timedelta(minutes=20), ['00 hr 00 min', '00 hr 05 min',

'00 hr 10 min', '00 hr 15 min', '00 hr 20 min']],

[datetime.timedelta(seconds=40), [

'00 hr 00 min', '05.000000 sec', '10.000000 sec',

'15.000000 sec', '20.000000 sec', '25.000000 sec',

'30.000000 sec', '35.000000 sec', '40.000000 sec',

]],

[datetime.timedelta(seconds=2), [

'59.500000 sec', '00 hr 00 min', '00.500000 sec', '01.000000 sec',

'01.500000 sec', '02.000000 sec', '02.500000 sec',

]],

)

for t_delta, expected in results:

d2 = d1 + t_delta

strings = _create_auto_date_locator(d1, d2)

zero_formats = ['', "'%y", '%B', '%m-%d', '%S', '%S.%f']

def _create_auto_date_locator(date1, date2):

fig, ax = plt.subplots()

locator = mdates.AutoDateLocator(interval_multiples=True)

formatter = mdates.ConciseDateFormatter(

locator, zero_formats=zero_formats)

ax.yaxis.set_major_locator(locator)

ax.yaxis.set_major_formatter(formatter)

ax.set_ylim(date1, date2)

fig.canvas.draw()

sts = [st.get_text() for st in ax.get_yticklabels()]

return sts

d1 = datetime.datetime(1997, 1, 1)

results = ([datetime.timedelta(weeks=52 * 200),

[str(t) for t in range(1980, 2201, 20)]

],

[datetime.timedelta(weeks=52),

["'97", 'Feb', 'Mar', 'Apr', 'May', 'Jun',

'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']

],

[datetime.timedelta(days=141),

['January', '15', 'February', '15', 'March',

'15', 'April', '15', 'May', '15']

],

[datetime.timedelta(days=40),

['January', '05', '09', '13', '17', '21',

'25', '29', 'February', '05', '09']

],

[datetime.timedelta(hours=40),

['01-01', '04:00', '08:00', '12:00', '16:00', '20:00',

'01-02', '04:00', '08:00', '12:00', '16:00']

],

[datetime.timedelta(minutes=20),

['00', '00:05', '00:10', '00:15', '00:20']

],

[datetime.timedelta(seconds=40),

['00', '05', '10', '15', '20', '25', '30', '35', '40']

],

[datetime.timedelta(seconds=2),

['59.5', '00.0', '00.5', '01.0', '01.5', '02.0', '02.5']

],

)

for t_delta, expected in results:

d2 = d1 + t_delta

strings = _create_auto_date_locator(d1, d2)

def _create_auto_date_locator(date1, date2, tz):

fig, ax = plt.subplots()

locator = mdates.AutoDateLocator(interval_multiples=True)

formatter = mdates.ConciseDateFormatter(locator, tz=tz)

ax.yaxis.set_major_locator(locator)

ax.yaxis.set_major_formatter(formatter)

ax.set_ylim(date1, date2)

fig.canvas.draw()

sts = [st.get_text() for st in ax.get_yticklabels()]

return sts, ax.yaxis.get_offset_text().get_text()

d1 = datetime.datetime(1997, 1, 1).replace(tzinfo=datetime.timezone.utc)

results = ([datetime.timedelta(hours=40),

['03:00', '07:00', '11:00', '15:00', '19:00', '23:00',

'03:00', '07:00', '11:00', '15:00', '19:00'],

"1997-Jan-02"

],

[datetime.timedelta(minutes=20),

['03:00', '03:05', '03:10', '03:15', '03:20'],

"1997-Jan-01"

],

[datetime.timedelta(seconds=40),

['03:00', '05', '10', '15', '20', '25', '30', '35', '40'],

"1997-Jan-01 03:00"

],

[datetime.timedelta(seconds=2),

['59.5', '03:00', '00.5', '01.0', '01.5', '02.0', '02.5'],

"1997-Jan-01 03:00"

],

)

new_tz = datetime.timezone(datetime.timedelta(hours=3))

for t_delta, expected_strings, expected_offset in results:

d2 = d1 + t_delta

strings, offset = _create_auto_date_locator(d1, d2, new_tz)

assert strings == expected_strings

def _create_auto_date_locator(date1, date2, tz):

locator = mdates.AutoDateLocator(interval_multiples=True, tz=tz)

locator.create_dummy_axis()

locator.axis.set_view_interval(*mdates.date2num([date1, date2]))

return locator

results = ([datetime.timedelta(weeks=52*200),

['1980-01-01 00:00:00-08:00', '2000-01-01 00:00:00-08:00',

'2020-01-01 00:00:00-08:00', '2040-01-01 00:00:00-08:00',

'2060-01-01 00:00:00-08:00', '2080-01-01 00:00:00-08:00',

'2100-01-01 00:00:00-08:00', '2120-01-01 00:00:00-08:00',

'2140-01-01 00:00:00-08:00', '2160-01-01 00:00:00-08:00',

'2180-01-01 00:00:00-08:00', '2200-01-01 00:00:00-08:00']

],

[datetime.timedelta(weeks=52),

['1997-01-01 00:00:00-08:00', '1997-02-01 00:00:00-08:00',

'1997-03-01 00:00:00-08:00', '1997-04-01 00:00:00-08:00',

'1997-05-01 00:00:00-07:00', '1997-06-01 00:00:00-07:00',

'1997-07-01 00:00:00-07:00', '1997-08-01 00:00:00-07:00',

'1997-09-01 00:00:00-07:00', '1997-10-01 00:00:00-07:00',

'1997-11-01 00:00:00-08:00', '1997-12-01 00:00:00-08:00']

],

[datetime.timedelta(days=141),

['1997-01-01 00:00:00-08:00', '1997-01-15 00:00:00-08:00',

'1997-02-01 00:00:00-08:00', '1997-02-15 00:00:00-08:00',

'1997-03-01 00:00:00-08:00', '1997-03-15 00:00:00-08:00',

'1997-04-01 00:00:00-08:00', '1997-04-15 00:00:00-07:00',

'1997-05-01 00:00:00-07:00', '1997-05-15 00:00:00-07:00']

],

[datetime.timedelta(days=40),

['1997-01-01 00:00:00-08:00', '1997-01-05 00:00:00-08:00',

'1997-01-09 00:00:00-08:00', '1997-01-13 00:00:00-08:00',

'1997-01-17 00:00:00-08:00', '1997-01-21 00:00:00-08:00',

'1997-01-25 00:00:00-08:00', '1997-01-29 00:00:00-08:00',

'1997-02-01 00:00:00-08:00', '1997-02-05 00:00:00-08:00',

'1997-02-09 00:00:00-08:00']

],

[datetime.timedelta(hours=40),

['1997-01-01 00:00:00-08:00', '1997-01-01 04:00:00-08:00',

'1997-01-01 08:00:00-08:00', '1997-01-01 12:00:00-08:00',

'1997-01-01 16:00:00-08:00', '1997-01-01 20:00:00-08:00',

'1997-01-02 00:00:00-08:00', '1997-01-02 04:00:00-08:00',

'1997-01-02 08:00:00-08:00', '1997-01-02 12:00:00-08:00',

'1997-01-02 16:00:00-08:00']

],

[datetime.timedelta(minutes=20),

['1997-01-01 00:00:00-08:00', '1997-01-01 00:05:00-08:00',

'1997-01-01 00:10:00-08:00', '1997-01-01 00:15:00-08:00',

'1997-01-01 00:20:00-08:00']

],

[datetime.timedelta(seconds=40),

['1997-01-01 00:00:00-08:00', '1997-01-01 00:00:05-08:00',

'1997-01-01 00:00:10-08:00', '1997-01-01 00:00:15-08:00',

'1997-01-01 00:00:20-08:00', '1997-01-01 00:00:25-08:00',

'1997-01-01 00:00:30-08:00', '1997-01-01 00:00:35-08:00',

'1997-01-01 00:00:40-08:00']

]

)

tz = dateutil.tz.gettz('Canada/Pacific')

d1 = datetime.datetime(1997, 1, 1, tzinfo=tz)

for t_delta, expected in results:

with rc_context({'_internal.classic_mode': False}):

d2 = d1 + t_delta

locator = _create_auto_date_locator(d1, d2, tz)

st = list(map(str, mdates.num2date(locator(), tz=tz)))

# test ax hline with date inputs

t0 = datetime.datetime(2009, 1, 20)

tf = datetime.datetime(2009, 1, 31)

fig, ax = plt.subplots()

ax.axhline(t0, color="blue", lw=3)

ax.set_ylim(t0 - datetime.timedelta(days=5),

tf + datetime.timedelta(days=5))

ax.invert_yaxis()

# Timezones

BRUSSELS = dateutil.tz.gettz('Europe/Brussels')

UTC = mdates.UTC

# Create a list of timezone-aware datetime objects in UTC

# Interval is 0b0.0000011 days, to prevent float rounding issues

dtstart = datetime.datetime(2014, 3, 30, 0, 0, tzinfo=UTC)

interval = datetime.timedelta(minutes=33, seconds=45)

interval_days = interval.seconds / 86400

N = 8

dt_utc = date_range(start=dtstart, freq=interval, periods=N)

dt_bxl = tz_convert(dt_utc, BRUSSELS)

t0 = 735322.0 + mdates.date2num(np.datetime64('0000-12-31'))

expected_ordinalf = [t0 + (i * interval_days) for i in range(N)]

actual_ordinalf = list(mdates.date2num(dt_bxl))