1412 lines
55 KiB
Python
1412 lines
55 KiB
Python
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import datetime
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import dateutil.tz
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import dateutil.rrule
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import functools
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import numpy as np
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import pytest
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import matplotlib as mpl
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from matplotlib import rc_context, style
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import matplotlib.dates as mdates
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import matplotlib.pyplot as plt
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from matplotlib.testing.decorators import image_comparison
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import matplotlib.ticker as mticker
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def test_date_numpyx():
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# test that numpy dates work properly...
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base = datetime.datetime(2017, 1, 1)
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time = [base + datetime.timedelta(days=x) for x in range(0, 3)]
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timenp = np.array(time, dtype='datetime64[ns]')
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data = np.array([0., 2., 1.])
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fig = plt.figure(figsize=(10, 2))
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ax = fig.add_subplot(1, 1, 1)
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h, = ax.plot(time, data)
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hnp, = ax.plot(timenp, data)
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np.testing.assert_equal(h.get_xdata(orig=False), hnp.get_xdata(orig=False))
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fig = plt.figure(figsize=(10, 2))
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ax = fig.add_subplot(1, 1, 1)
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h, = ax.plot(data, time)
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hnp, = ax.plot(data, timenp)
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np.testing.assert_equal(h.get_ydata(orig=False), hnp.get_ydata(orig=False))
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@pytest.mark.parametrize('t0', [datetime.datetime(2017, 1, 1, 0, 1, 1),
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[datetime.datetime(2017, 1, 1, 0, 1, 1),
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datetime.datetime(2017, 1, 1, 1, 1, 1)],
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[[datetime.datetime(2017, 1, 1, 0, 1, 1),
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datetime.datetime(2017, 1, 1, 1, 1, 1)],
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[datetime.datetime(2017, 1, 1, 2, 1, 1),
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datetime.datetime(2017, 1, 1, 3, 1, 1)]]])
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@pytest.mark.parametrize('dtype', ['datetime64[s]',
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'datetime64[us]',
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'datetime64[ms]',
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'datetime64[ns]'])
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def test_date_date2num_numpy(t0, dtype):
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time = mdates.date2num(t0)
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tnp = np.array(t0, dtype=dtype)
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nptime = mdates.date2num(tnp)
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np.testing.assert_equal(time, nptime)
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@pytest.mark.parametrize('dtype', ['datetime64[s]',
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'datetime64[us]',
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'datetime64[ms]',
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'datetime64[ns]'])
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def test_date2num_NaT(dtype):
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t0 = datetime.datetime(2017, 1, 1, 0, 1, 1)
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tmpl = [mdates.date2num(t0), np.nan]
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tnp = np.array([t0, 'NaT'], dtype=dtype)
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nptime = mdates.date2num(tnp)
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np.testing.assert_array_equal(tmpl, nptime)
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@pytest.mark.parametrize('units', ['s', 'ms', 'us', 'ns'])
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def test_date2num_NaT_scalar(units):
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tmpl = mdates.date2num(np.datetime64('NaT', units))
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assert np.isnan(tmpl)
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def test_date2num_masked():
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# Without tzinfo
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base = datetime.datetime(2022, 12, 15)
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dates = np.ma.array([base + datetime.timedelta(days=(2 * i))
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for i in range(7)], mask=[0, 1, 1, 0, 0, 0, 1])
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npdates = mdates.date2num(dates)
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np.testing.assert_array_equal(np.ma.getmask(npdates),
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(False, True, True, False, False, False,
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True))
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# With tzinfo
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base = datetime.datetime(2022, 12, 15, tzinfo=mdates.UTC)
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dates = np.ma.array([base + datetime.timedelta(days=(2 * i))
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for i in range(7)], mask=[0, 1, 1, 0, 0, 0, 1])
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npdates = mdates.date2num(dates)
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np.testing.assert_array_equal(np.ma.getmask(npdates),
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(False, True, True, False, False, False,
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True))
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def test_date_empty():
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# make sure we do the right thing when told to plot dates even
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# if no date data has been presented, cf
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# http://sourceforge.net/tracker/?func=detail&aid=2850075&group_id=80706&atid=560720
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fig, ax = plt.subplots()
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ax.xaxis_date()
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fig.draw_without_rendering()
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np.testing.assert_allclose(ax.get_xlim(),
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[mdates.date2num(np.datetime64('1970-01-01')),
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mdates.date2num(np.datetime64('1970-01-02'))])
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mdates._reset_epoch_test_example()
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mdates.set_epoch('0000-12-31')
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fig, ax = plt.subplots()
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ax.xaxis_date()
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fig.draw_without_rendering()
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np.testing.assert_allclose(ax.get_xlim(),
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[mdates.date2num(np.datetime64('1970-01-01')),
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mdates.date2num(np.datetime64('1970-01-02'))])
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mdates._reset_epoch_test_example()
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def test_date_not_empty():
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fig = plt.figure()
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ax = fig.add_subplot()
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ax.plot([50, 70], [1, 2])
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ax.xaxis.axis_date()
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np.testing.assert_allclose(ax.get_xlim(), [50, 70])
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def test_axhline():
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# make sure that axhline doesn't set the xlimits...
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fig, ax = plt.subplots()
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ax.axhline(1.5)
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ax.plot([np.datetime64('2016-01-01'), np.datetime64('2016-01-02')], [1, 2])
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np.testing.assert_allclose(ax.get_xlim(),
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[mdates.date2num(np.datetime64('2016-01-01')),
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mdates.date2num(np.datetime64('2016-01-02'))])
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mdates._reset_epoch_test_example()
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mdates.set_epoch('0000-12-31')
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fig, ax = plt.subplots()
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ax.axhline(1.5)
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ax.plot([np.datetime64('2016-01-01'), np.datetime64('2016-01-02')], [1, 2])
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np.testing.assert_allclose(ax.get_xlim(),
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[mdates.date2num(np.datetime64('2016-01-01')),
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mdates.date2num(np.datetime64('2016-01-02'))])
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mdates._reset_epoch_test_example()
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@image_comparison(['date_axhspan.png'])
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def test_date_axhspan():
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# test axhspan with date inputs
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t0 = datetime.datetime(2009, 1, 20)
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tf = datetime.datetime(2009, 1, 21)
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fig, ax = plt.subplots()
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ax.axhspan(t0, tf, facecolor="blue", alpha=0.25)
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ax.set_ylim(t0 - datetime.timedelta(days=5),
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tf + datetime.timedelta(days=5))
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fig.subplots_adjust(left=0.25)
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@image_comparison(['date_axvspan.png'])
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def test_date_axvspan():
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# test axvspan with date inputs
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t0 = datetime.datetime(2000, 1, 20)
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tf = datetime.datetime(2010, 1, 21)
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fig, ax = plt.subplots()
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ax.axvspan(t0, tf, facecolor="blue", alpha=0.25)
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ax.set_xlim(t0 - datetime.timedelta(days=720),
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tf + datetime.timedelta(days=720))
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fig.autofmt_xdate()
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@image_comparison(['date_axhline.png'])
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def test_date_axhline():
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# test axhline with date inputs
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t0 = datetime.datetime(2009, 1, 20)
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tf = datetime.datetime(2009, 1, 31)
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fig, ax = plt.subplots()
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ax.axhline(t0, color="blue", lw=3)
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ax.set_ylim(t0 - datetime.timedelta(days=5),
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tf + datetime.timedelta(days=5))
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fig.subplots_adjust(left=0.25)
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@image_comparison(['date_axvline.png'])
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def test_date_axvline():
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# test axvline with date inputs
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t0 = datetime.datetime(2000, 1, 20)
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tf = datetime.datetime(2000, 1, 21)
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fig, ax = plt.subplots()
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ax.axvline(t0, color="red", lw=3)
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ax.set_xlim(t0 - datetime.timedelta(days=5),
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tf + datetime.timedelta(days=5))
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fig.autofmt_xdate()
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def test_too_many_date_ticks(caplog):
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# Attempt to test SF 2715172, see
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# https://sourceforge.net/tracker/?func=detail&aid=2715172&group_id=80706&atid=560720
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# setting equal datetimes triggers and expander call in
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# transforms.nonsingular which results in too many ticks in the
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# DayLocator. This should emit a log at WARNING level.
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caplog.set_level("WARNING")
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t0 = datetime.datetime(2000, 1, 20)
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tf = datetime.datetime(2000, 1, 20)
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fig, ax = plt.subplots()
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with pytest.warns(UserWarning) as rec:
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ax.set_xlim((t0, tf), auto=True)
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assert len(rec) == 1
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assert ('Attempting to set identical low and high xlims'
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in str(rec[0].message))
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ax.plot([], [])
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ax.xaxis.set_major_locator(mdates.DayLocator())
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v = ax.xaxis.get_major_locator()()
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assert len(v) > 1000
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# The warning is emitted multiple times because the major locator is also
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# called both when placing the minor ticks (for overstriking detection) and
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# during tick label positioning.
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assert caplog.records and all(
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record.name == "matplotlib.ticker" and record.levelname == "WARNING"
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for record in caplog.records)
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assert len(caplog.records) > 0
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def _new_epoch_decorator(thefunc):
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@functools.wraps(thefunc)
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def wrapper():
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mdates._reset_epoch_test_example()
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mdates.set_epoch('2000-01-01')
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thefunc()
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mdates._reset_epoch_test_example()
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return wrapper
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@image_comparison(['RRuleLocator_bounds.png'])
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def test_RRuleLocator():
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import matplotlib.testing.jpl_units as units
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units.register()
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# This will cause the RRuleLocator to go out of bounds when it tries
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# to add padding to the limits, so we make sure it caps at the correct
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# boundary values.
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t0 = datetime.datetime(1000, 1, 1)
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tf = datetime.datetime(6000, 1, 1)
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fig = plt.figure()
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ax = plt.subplot()
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ax.set_autoscale_on(True)
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ax.plot([t0, tf], [0.0, 1.0], marker='o')
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rrule = mdates.rrulewrapper(dateutil.rrule.YEARLY, interval=500)
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locator = mdates.RRuleLocator(rrule)
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ax.xaxis.set_major_locator(locator)
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ax.xaxis.set_major_formatter(mdates.AutoDateFormatter(locator))
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ax.autoscale_view()
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fig.autofmt_xdate()
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def test_RRuleLocator_dayrange():
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loc = mdates.DayLocator()
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x1 = datetime.datetime(year=1, month=1, day=1, tzinfo=mdates.UTC)
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y1 = datetime.datetime(year=1, month=1, day=16, tzinfo=mdates.UTC)
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loc.tick_values(x1, y1)
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# On success, no overflow error shall be thrown
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def test_RRuleLocator_close_minmax():
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# if d1 and d2 are very close together, rrule cannot create
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# reasonable tick intervals; ensure that this is handled properly
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rrule = mdates.rrulewrapper(dateutil.rrule.SECONDLY, interval=5)
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loc = mdates.RRuleLocator(rrule)
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d1 = datetime.datetime(year=2020, month=1, day=1)
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d2 = datetime.datetime(year=2020, month=1, day=1, microsecond=1)
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expected = ['2020-01-01 00:00:00+00:00',
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'2020-01-01 00:00:00.000001+00:00']
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assert list(map(str, mdates.num2date(loc.tick_values(d1, d2)))) == expected
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@image_comparison(['DateFormatter_fractionalSeconds.png'])
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def test_DateFormatter():
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import matplotlib.testing.jpl_units as units
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units.register()
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# Lets make sure that DateFormatter will allow us to have tick marks
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# at intervals of fractional seconds.
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t0 = datetime.datetime(2001, 1, 1, 0, 0, 0)
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tf = datetime.datetime(2001, 1, 1, 0, 0, 1)
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fig = plt.figure()
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ax = plt.subplot()
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ax.set_autoscale_on(True)
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ax.plot([t0, tf], [0.0, 1.0], marker='o')
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# rrule = mpldates.rrulewrapper( dateutil.rrule.YEARLY, interval=500 )
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# locator = mpldates.RRuleLocator( rrule )
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# ax.xaxis.set_major_locator( locator )
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# ax.xaxis.set_major_formatter( mpldates.AutoDateFormatter(locator) )
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ax.autoscale_view()
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fig.autofmt_xdate()
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def test_locator_set_formatter():
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"""
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Test if setting the locator only will update the AutoDateFormatter to use
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the new locator.
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"""
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plt.rcParams["date.autoformatter.minute"] = "%d %H:%M"
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t = [datetime.datetime(2018, 9, 30, 8, 0),
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datetime.datetime(2018, 9, 30, 8, 59),
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datetime.datetime(2018, 9, 30, 10, 30)]
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x = [2, 3, 1]
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fig, ax = plt.subplots()
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ax.plot(t, x)
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ax.xaxis.set_major_locator(mdates.MinuteLocator((0, 30)))
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fig.canvas.draw()
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ticklabels = [tl.get_text() for tl in ax.get_xticklabels()]
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expected = ['30 08:00', '30 08:30', '30 09:00',
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'30 09:30', '30 10:00', '30 10:30']
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assert ticklabels == expected
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ax.xaxis.set_major_locator(mticker.NullLocator())
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ax.xaxis.set_minor_locator(mdates.MinuteLocator((5, 55)))
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decoy_loc = mdates.MinuteLocator((12, 27))
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ax.xaxis.set_minor_formatter(mdates.AutoDateFormatter(decoy_loc))
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ax.xaxis.set_minor_locator(mdates.MinuteLocator((15, 45)))
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fig.canvas.draw()
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ticklabels = [tl.get_text() for tl in ax.get_xticklabels(which="minor")]
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|
|
expected = ['30 08:15', '30 08:45', '30 09:15', '30 09:45', '30 10:15']
|
||
|
|
assert ticklabels == expected
|
||
|
|
|
||
|
|
|
||
|
|
def test_date_formatter_callable():
|
||
|
|
|
||
|
|
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
|
||
|
|
assert formatter([datetime.datetime(2014, 12, 25)]) == ['25-12//2014']
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize('delta, expected', [
|
||
|
|
(datetime.timedelta(weeks=52 * 200),
|
||
|
|
[r'$\mathdefault{%d}$' % year for year in range(1990, 2171, 20)]),
|
||
|
|
(datetime.timedelta(days=30),
|
||
|
|
[r'$\mathdefault{1990{-}01{-}%02d}$' % day for day in range(1, 32, 3)]),
|
||
|
|
(datetime.timedelta(hours=20),
|
||
|
|
[r'$\mathdefault{01{-}01\;%02d}$' % hour for hour in range(0, 21, 2)]),
|
||
|
|
(datetime.timedelta(minutes=10),
|
||
|
|
[r'$\mathdefault{01\;00{:}%02d}$' % minu for minu in range(0, 11)]),
|
||
|
|
])
|
||
|
|
def test_date_formatter_usetex(delta, expected):
|
||
|
|
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)
|
||
|
|
assert [formatter(loc) for loc in locator()] == expected
|
||
|
|
|
||
|
|
|
||
|
|
def test_drange():
|
||
|
|
"""
|
||
|
|
This test should check if drange works as expected, and if all the
|
||
|
|
rounding errors are fixed
|
||
|
|
"""
|
||
|
|
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
|
||
|
|
assert mdates.num2date(daterange[-1]) == (end - delta)
|
||
|
|
|
||
|
|
|
||
|
|
@_new_epoch_decorator
|
||
|
|
def test_auto_date_locator():
|
||
|
|
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)
|
||
|
|
assert locator.maxticks == {0: 5, 1: 5, 3: 5, 4: 5, 5: 5, 6: 5, 7: 5}
|
||
|
|
|
||
|
|
|
||
|
|
@_new_epoch_decorator
|
||
|
|
def test_auto_date_locator_intmult():
|
||
|
|
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)
|
||
|
|
assert list(map(str, mdates.num2date(locator()))) == expected
|
||
|
|
|
||
|
|
|
||
|
|
def test_concise_formatter_subsecond():
|
||
|
|
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])
|
||
|
|
assert strings == ['00:00', '00.0005', '00.0009']
|
||
|
|
|
||
|
|
|
||
|
|
def test_concise_formatter():
|
||
|
|
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)
|
||
|
|
assert strings == expected
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize('t_delta, expected', [
|
||
|
|
(datetime.timedelta(seconds=0.01), '1997-Jan-01 00:00'),
|
||
|
|
(datetime.timedelta(minutes=1), '1997-Jan-01 00:01'),
|
||
|
|
(datetime.timedelta(hours=1), '1997-Jan-01'),
|
||
|
|
(datetime.timedelta(days=1), '1997-Jan-02'),
|
||
|
|
(datetime.timedelta(weeks=1), '1997-Jan'),
|
||
|
|
(datetime.timedelta(weeks=26), ''),
|
||
|
|
(datetime.timedelta(weeks=520), '')
|
||
|
|
])
|
||
|
|
def test_concise_formatter_show_offset(t_delta, expected):
|
||
|
|
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()
|
||
|
|
assert formatter.get_offset() == expected
|
||
|
|
|
||
|
|
|
||
|
|
def test_concise_converter_stays():
|
||
|
|
# 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)
|
||
|
|
assert ax.xaxis.converter == conv
|
||
|
|
|
||
|
|
|
||
|
|
def test_offset_changes():
|
||
|
|
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()
|
||
|
|
assert formatter.get_offset() == ''
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize('t_delta, expected', [
|
||
|
|
(datetime.timedelta(weeks=52 * 200),
|
||
|
|
['$\\mathdefault{%d}$' % (t, ) for t in range(1980, 2201, 20)]),
|
||
|
|
(datetime.timedelta(days=40),
|
||
|
|
['Jan', '$\\mathdefault{05}$', '$\\mathdefault{09}$',
|
||
|
|
'$\\mathdefault{13}$', '$\\mathdefault{17}$', '$\\mathdefault{21}$',
|
||
|
|
'$\\mathdefault{25}$', '$\\mathdefault{29}$', 'Feb',
|
||
|
|
'$\\mathdefault{05}$', '$\\mathdefault{09}$']),
|
||
|
|
(datetime.timedelta(hours=40),
|
||
|
|
['Jan$\\mathdefault{{-}01}$', '$\\mathdefault{04{:}00}$',
|
||
|
|
'$\\mathdefault{08{:}00}$', '$\\mathdefault{12{:}00}$',
|
||
|
|
'$\\mathdefault{16{:}00}$', '$\\mathdefault{20{:}00}$',
|
||
|
|
'Jan$\\mathdefault{{-}02}$', '$\\mathdefault{04{:}00}$',
|
||
|
|
'$\\mathdefault{08{:}00}$', '$\\mathdefault{12{:}00}$',
|
||
|
|
'$\\mathdefault{16{:}00}$']),
|
||
|
|
(datetime.timedelta(seconds=2),
|
||
|
|
['$\\mathdefault{59.5}$', '$\\mathdefault{00{:}00}$',
|
||
|
|
'$\\mathdefault{00.5}$', '$\\mathdefault{01.0}$',
|
||
|
|
'$\\mathdefault{01.5}$', '$\\mathdefault{02.0}$',
|
||
|
|
'$\\mathdefault{02.5}$']),
|
||
|
|
])
|
||
|
|
def test_concise_formatter_usetex(t_delta, expected):
|
||
|
|
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)
|
||
|
|
assert formatter.format_ticks(locator()) == expected
|
||
|
|
|
||
|
|
|
||
|
|
def test_concise_formatter_formats():
|
||
|
|
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)
|
||
|
|
assert strings == expected
|
||
|
|
|
||
|
|
|
||
|
|
def test_concise_formatter_zformats():
|
||
|
|
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)
|
||
|
|
assert strings == expected
|
||
|
|
|
||
|
|
|
||
|
|
def test_concise_formatter_tz():
|
||
|
|
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
|
||
|
|
assert offset == expected_offset
|
||
|
|
|
||
|
|
|
||
|
|
def test_auto_date_locator_intmult_tz():
|
||
|
|
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)))
|
||
|
|
assert st == expected
|
||
|
|
|
||
|
|
|
||
|
|
@image_comparison(['date_inverted_limit.png'])
|
||
|
|
def test_date_inverted_limit():
|
||
|
|
# 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()
|
||
|
|
fig.subplots_adjust(left=0.25)
|
||
|
|
|
||
|
|
|
||
|
|
def _test_date2num_dst(date_range, tz_convert):
|
||
|
|
# 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))
|
||
|
|
|
||
|
|
assert actual_ordinalf == expected_ordinalf
|
||
|
|
|
||
|
|
|
||
|
|
def test_date2num_dst():
|
||
|
|
# Test for github issue #3896, but in date2num around DST transitions
|
||
|
|
# with a timezone-aware pandas date_range object.
|
||
|
|
|
||
|
|
class dt_tzaware(datetime.datetime):
|
||
|
|
"""
|
||
|
|
This bug specifically occurs because of the normalization behavior of
|
||
|
|
pandas Timestamp objects, so in order to replicate it, we need a
|
||
|
|
datetime-like object that applies timezone normalization after
|
||
|
|
subtraction.
|
||
|
|
"""
|
||
|
|
|
||
|
|
def __sub__(self, other):
|
||
|
|
r = super().__sub__(other)
|
||
|
|
tzinfo = getattr(r, 'tzinfo', None)
|
||
|
|
|
||
|
|
if tzinfo is not None:
|
||
|
|
localizer = getattr(tzinfo, 'normalize', None)
|
||
|
|
if localizer is not None:
|
||
|
|
r = tzinfo.normalize(r)
|
||
|
|
|
||
|
|
if isinstance(r, datetime.datetime):
|
||
|
|
r = self.mk_tzaware(r)
|
||
|
|
|
||
|
|
return r
|
||
|
|
|
||
|
|
def __add__(self, other):
|
||
|
|
return self.mk_tzaware(super().__add__(other))
|
||
|
|
|
||
|
|
def astimezone(self, tzinfo):
|
||
|
|
dt = super().astimezone(tzinfo)
|
||
|
|
return self.mk_tzaware(dt)
|
||
|
|
|
||
|
|
@classmethod
|
||
|
|
def mk_tzaware(cls, datetime_obj):
|
||
|
|
kwargs = {}
|
||
|
|
attrs = ('year',
|
||
|
|
'month',
|
||
|
|
'day',
|
||
|
|
'hour',
|
||
|
|
'minute',
|
||
|
|
'second',
|
||
|
|
'microsecond',
|
||
|
|
'tzinfo')
|
||
|
|
|
||
|
|
for attr in attrs:
|
||
|
|
val = getattr(datetime_obj, attr, None)
|
||
|
|
if val is not None:
|
||
|
|
kwargs[attr] = val
|
||
|
|
|
||
|
|
return cls(**kwargs)
|
||
|
|
|
||
|
|
# Define a date_range function similar to pandas.date_range
|
||
|
|
def date_range(start, freq, periods):
|
||
|
|
dtstart = dt_tzaware.mk_tzaware(start)
|
||
|
|
|
||
|
|
return [dtstart + (i * freq) for i in range(periods)]
|
||
|
|
|
||
|
|
# Define a tz_convert function that converts a list to a new timezone.
|
||
|
|
def tz_convert(dt_list, tzinfo):
|
||
|
|
return [d.astimezone(tzinfo) for d in dt_list]
|
||
|
|
|
||
|
|
_test_date2num_dst(date_range, tz_convert)
|
||
|
|
|
||
|
|
|
||
|
|
def test_date2num_dst_pandas(pd):
|
||
|
|
# Test for github issue #3896, but in date2num around DST transitions
|
||
|
|
# with a timezone-aware pandas date_range object.
|
||
|
|
|
||
|
|
def tz_convert(*args):
|
||
|
|
return pd.DatetimeIndex.tz_convert(*args).astype(object)
|
||
|
|
|
||
|
|
_test_date2num_dst(pd.date_range, tz_convert)
|
||
|
|
|
||
|
|
|
||
|
|
def _test_rrulewrapper(attach_tz, get_tz):
|
||
|
|
SYD = get_tz('Australia/Sydney')
|
||
|
|
|
||
|
|
dtstart = attach_tz(datetime.datetime(2017, 4, 1, 0), SYD)
|
||
|
|
dtend = attach_tz(datetime.datetime(2017, 4, 4, 0), SYD)
|
||
|
|
|
||
|
|
rule = mdates.rrulewrapper(freq=dateutil.rrule.DAILY, dtstart=dtstart)
|
||
|
|
|
||
|
|
act = rule.between(dtstart, dtend)
|
||
|
|
exp = [datetime.datetime(2017, 4, 1, 13, tzinfo=dateutil.tz.tzutc()),
|
||
|
|
datetime.datetime(2017, 4, 2, 14, tzinfo=dateutil.tz.tzutc())]
|
||
|
|
|
||
|
|
assert act == exp
|
||
|
|
|
||
|
|
|
||
|
|
def test_rrulewrapper():
|
||
|
|
def attach_tz(dt, zi):
|
||
|
|
return dt.replace(tzinfo=zi)
|
||
|
|
|
||
|
|
_test_rrulewrapper(attach_tz, dateutil.tz.gettz)
|
||
|
|
|
||
|
|
SYD = dateutil.tz.gettz('Australia/Sydney')
|
||
|
|
dtstart = datetime.datetime(2017, 4, 1, 0)
|
||
|
|
dtend = datetime.datetime(2017, 4, 4, 0)
|
||
|
|
rule = mdates.rrulewrapper(freq=dateutil.rrule.DAILY, dtstart=dtstart,
|
||
|
|
tzinfo=SYD, until=dtend)
|
||
|
|
assert rule.after(dtstart) == datetime.datetime(2017, 4, 2, 0, 0,
|
||
|
|
tzinfo=SYD)
|
||
|
|
assert rule.before(dtend) == datetime.datetime(2017, 4, 3, 0, 0,
|
||
|
|
tzinfo=SYD)
|
||
|
|
|
||
|
|
# Test parts of __getattr__
|
||
|
|
assert rule._base_tzinfo == SYD
|
||
|
|
assert rule._interval == 1
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.pytz
|
||
|
|
def test_rrulewrapper_pytz():
|
||
|
|
# Test to make sure pytz zones are supported in rrules
|
||
|
|
pytz = pytest.importorskip("pytz")
|
||
|
|
|
||
|
|
def attach_tz(dt, zi):
|
||
|
|
return zi.localize(dt)
|
||
|
|
|
||
|
|
_test_rrulewrapper(attach_tz, pytz.timezone)
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.pytz
|
||
|
|
def test_yearlocator_pytz():
|
||
|
|
pytz = pytest.importorskip("pytz")
|
||
|
|
|
||
|
|
tz = pytz.timezone('America/New_York')
|
||
|
|
x = [tz.localize(datetime.datetime(2010, 1, 1))
|
||
|
|
+ datetime.timedelta(i) for i in range(2000)]
|
||
|
|
locator = mdates.AutoDateLocator(interval_multiples=True, tz=tz)
|
||
|
|
locator.create_dummy_axis()
|
||
|
|
locator.axis.set_view_interval(mdates.date2num(x[0])-1.0,
|
||
|
|
mdates.date2num(x[-1])+1.0)
|
||
|
|
t = np.array([733408.208333, 733773.208333, 734138.208333,
|
||
|
|
734503.208333, 734869.208333, 735234.208333, 735599.208333])
|
||
|
|
# convert to new epoch from old...
|
||
|
|
t = t + mdates.date2num(np.datetime64('0000-12-31'))
|
||
|
|
np.testing.assert_allclose(t, locator())
|
||
|
|
expected = ['2009-01-01 00:00:00-05:00',
|
||
|
|
'2010-01-01 00:00:00-05:00', '2011-01-01 00:00:00-05:00',
|
||
|
|
'2012-01-01 00:00:00-05:00', '2013-01-01 00:00:00-05:00',
|
||
|
|
'2014-01-01 00:00:00-05:00', '2015-01-01 00:00:00-05:00']
|
||
|
|
st = list(map(str, mdates.num2date(locator(), tz=tz)))
|
||
|
|
assert st == expected
|
||
|
|
assert np.allclose(locator.tick_values(x[0], x[1]), np.array(
|
||
|
|
[14610.20833333, 14610.33333333, 14610.45833333, 14610.58333333,
|
||
|
|
14610.70833333, 14610.83333333, 14610.95833333, 14611.08333333,
|
||
|
|
14611.20833333]))
|
||
|
|
assert np.allclose(locator.get_locator(x[1], x[0]).tick_values(x[0], x[1]),
|
||
|
|
np.array(
|
||
|
|
[14610.20833333, 14610.33333333, 14610.45833333, 14610.58333333,
|
||
|
|
14610.70833333, 14610.83333333, 14610.95833333, 14611.08333333,
|
||
|
|
14611.20833333]))
|
||
|
|
|
||
|
|
|
||
|
|
def test_YearLocator():
|
||
|
|
def _create_year_locator(date1, date2, **kwargs):
|
||
|
|
locator = mdates.YearLocator(**kwargs)
|
||
|
|
locator.create_dummy_axis()
|
||
|
|
locator.axis.set_view_interval(mdates.date2num(date1),
|
||
|
|
mdates.date2num(date2))
|
||
|
|
return locator
|
||
|
|
|
||
|
|
d1 = datetime.datetime(1990, 1, 1)
|
||
|
|
results = ([datetime.timedelta(weeks=52 * 200),
|
||
|
|
{'base': 20, 'month': 1, 'day': 1},
|
||
|
|
['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 * 200),
|
||
|
|
{'base': 20, 'month': 5, 'day': 16},
|
||
|
|
['1980-05-16 00:00:00+00:00', '2000-05-16 00:00:00+00:00',
|
||
|
|
'2020-05-16 00:00:00+00:00', '2040-05-16 00:00:00+00:00',
|
||
|
|
'2060-05-16 00:00:00+00:00', '2080-05-16 00:00:00+00:00',
|
||
|
|
'2100-05-16 00:00:00+00:00', '2120-05-16 00:00:00+00:00',
|
||
|
|
'2140-05-16 00:00:00+00:00', '2160-05-16 00:00:00+00:00',
|
||
|
|
'2180-05-16 00:00:00+00:00', '2200-05-16 00:00:00+00:00']
|
||
|
|
],
|
||
|
|
[datetime.timedelta(weeks=52 * 5),
|
||
|
|
{'base': 20, 'month': 9, 'day': 25},
|
||
|
|
['1980-09-25 00:00:00+00:00', '2000-09-25 00:00:00+00:00']
|
||
|
|
],
|
||
|
|
)
|
||
|
|
|
||
|
|
for delta, arguments, expected in results:
|
||
|
|
d2 = d1 + delta
|
||
|
|
locator = _create_year_locator(d1, d2, **arguments)
|
||
|
|
assert list(map(str, mdates.num2date(locator()))) == expected
|
||
|
|
|
||
|
|
|
||
|
|
def test_DayLocator():
|
||
|
|
with pytest.raises(ValueError):
|
||
|
|
mdates.DayLocator(interval=-1)
|
||
|
|
with pytest.raises(ValueError):
|
||
|
|
mdates.DayLocator(interval=-1.5)
|
||
|
|
with pytest.raises(ValueError):
|
||
|
|
mdates.DayLocator(interval=0)
|
||
|
|
with pytest.raises(ValueError):
|
||
|
|
mdates.DayLocator(interval=1.3)
|
||
|
|
mdates.DayLocator(interval=1.0)
|
||
|
|
|
||
|
|
|
||
|
|
def test_tz_utc():
|
||
|
|
dt = datetime.datetime(1970, 1, 1, tzinfo=mdates.UTC)
|
||
|
|
assert dt.tzname() == 'UTC'
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("x, tdelta",
|
||
|
|
[(1, datetime.timedelta(days=1)),
|
||
|
|
([1, 1.5], [datetime.timedelta(days=1),
|
||
|
|
datetime.timedelta(days=1.5)])])
|
||
|
|
def test_num2timedelta(x, tdelta):
|
||
|
|
dt = mdates.num2timedelta(x)
|
||
|
|
assert dt == tdelta
|
||
|
|
|
||
|
|
|
||
|
|
def test_datetime64_in_list():
|
||
|
|
dt = [np.datetime64('2000-01-01'), np.datetime64('2001-01-01')]
|
||
|
|
dn = mdates.date2num(dt)
|
||
|
|
# convert fixed values from old to new epoch
|
||
|
|
t = (np.array([730120., 730486.]) +
|
||
|
|
mdates.date2num(np.datetime64('0000-12-31')))
|
||
|
|
np.testing.assert_equal(dn, t)
|
||
|
|
|
||
|
|
|
||
|
|
def test_change_epoch():
|
||
|
|
date = np.datetime64('2000-01-01')
|
||
|
|
|
||
|
|
# use private method to clear the epoch and allow it to be set...
|
||
|
|
mdates._reset_epoch_test_example()
|
||
|
|
mdates.get_epoch() # Set default.
|
||
|
|
|
||
|
|
with pytest.raises(RuntimeError):
|
||
|
|
# this should fail here because there is a sentinel on the epoch
|
||
|
|
# if the epoch has been used then it cannot be set.
|
||
|
|
mdates.set_epoch('0000-01-01')
|
||
|
|
|
||
|
|
mdates._reset_epoch_test_example()
|
||
|
|
mdates.set_epoch('1970-01-01')
|
||
|
|
dt = (date - np.datetime64('1970-01-01')).astype('datetime64[D]')
|
||
|
|
dt = dt.astype('int')
|
||
|
|
np.testing.assert_equal(mdates.date2num(date), float(dt))
|
||
|
|
|
||
|
|
mdates._reset_epoch_test_example()
|
||
|
|
mdates.set_epoch('0000-12-31')
|
||
|
|
np.testing.assert_equal(mdates.date2num(date), 730120.0)
|
||
|
|
|
||
|
|
mdates._reset_epoch_test_example()
|
||
|
|
mdates.set_epoch('1970-01-01T01:00:00')
|
||
|
|
np.testing.assert_allclose(mdates.date2num(date), dt - 1./24.)
|
||
|
|
mdates._reset_epoch_test_example()
|
||
|
|
mdates.set_epoch('1970-01-01T00:00:00')
|
||
|
|
np.testing.assert_allclose(
|
||
|
|
mdates.date2num(np.datetime64('1970-01-01T12:00:00')),
|
||
|
|
0.5)
|
||
|
|
|
||
|
|
|
||
|
|
def test_warn_notintervals():
|
||
|
|
dates = np.arange('2001-01-10', '2001-03-04', dtype='datetime64[D]')
|
||
|
|
locator = mdates.AutoDateLocator(interval_multiples=False)
|
||
|
|
locator.intervald[3] = [2]
|
||
|
|
locator.create_dummy_axis()
|
||
|
|
locator.axis.set_view_interval(mdates.date2num(dates[0]),
|
||
|
|
mdates.date2num(dates[-1]))
|
||
|
|
with pytest.warns(UserWarning, match="AutoDateLocator was unable"):
|
||
|
|
locs = locator()
|
||
|
|
|
||
|
|
|
||
|
|
def test_change_converter():
|
||
|
|
plt.rcParams['date.converter'] = 'concise'
|
||
|
|
dates = np.arange('2020-01-01', '2020-05-01', dtype='datetime64[D]')
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
|
||
|
|
ax.plot(dates, np.arange(len(dates)))
|
||
|
|
fig.canvas.draw()
|
||
|
|
assert ax.get_xticklabels()[0].get_text() == 'Jan'
|
||
|
|
assert ax.get_xticklabels()[1].get_text() == '15'
|
||
|
|
|
||
|
|
plt.rcParams['date.converter'] = 'auto'
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
|
||
|
|
ax.plot(dates, np.arange(len(dates)))
|
||
|
|
fig.canvas.draw()
|
||
|
|
assert ax.get_xticklabels()[0].get_text() == 'Jan 01 2020'
|
||
|
|
assert ax.get_xticklabels()[1].get_text() == 'Jan 15 2020'
|
||
|
|
with pytest.raises(ValueError):
|
||
|
|
plt.rcParams['date.converter'] = 'boo'
|
||
|
|
|
||
|
|
|
||
|
|
def test_change_interval_multiples():
|
||
|
|
plt.rcParams['date.interval_multiples'] = False
|
||
|
|
dates = np.arange('2020-01-10', '2020-05-01', dtype='datetime64[D]')
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
|
||
|
|
ax.plot(dates, np.arange(len(dates)))
|
||
|
|
fig.canvas.draw()
|
||
|
|
assert ax.get_xticklabels()[0].get_text() == 'Jan 10 2020'
|
||
|
|
assert ax.get_xticklabels()[1].get_text() == 'Jan 24 2020'
|
||
|
|
|
||
|
|
plt.rcParams['date.interval_multiples'] = 'True'
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
|
||
|
|
ax.plot(dates, np.arange(len(dates)))
|
||
|
|
fig.canvas.draw()
|
||
|
|
assert ax.get_xticklabels()[0].get_text() == 'Jan 15 2020'
|
||
|
|
assert ax.get_xticklabels()[1].get_text() == 'Feb 01 2020'
|
||
|
|
|
||
|
|
|
||
|
|
def test_julian2num():
|
||
|
|
mdates._reset_epoch_test_example()
|
||
|
|
mdates.set_epoch('0000-12-31')
|
||
|
|
with pytest.warns(mpl.MatplotlibDeprecationWarning):
|
||
|
|
# 2440587.5 is julian date for 1970-01-01T00:00:00
|
||
|
|
# https://en.wikipedia.org/wiki/Julian_day
|
||
|
|
assert mdates.julian2num(2440588.5) == 719164.0
|
||
|
|
assert mdates.num2julian(719165.0) == 2440589.5
|
||
|
|
# set back to the default
|
||
|
|
mdates._reset_epoch_test_example()
|
||
|
|
mdates.set_epoch('1970-01-01T00:00:00')
|
||
|
|
with pytest.warns(mpl.MatplotlibDeprecationWarning):
|
||
|
|
assert mdates.julian2num(2440588.5) == 1.0
|
||
|
|
assert mdates.num2julian(2.0) == 2440589.5
|
||
|
|
|
||
|
|
|
||
|
|
def test_DateLocator():
|
||
|
|
locator = mdates.DateLocator()
|
||
|
|
# Test nonsingular
|
||
|
|
assert locator.nonsingular(0, np.inf) == (0, 1)
|
||
|
|
assert locator.nonsingular(0, 1) == (0, 1)
|
||
|
|
assert locator.nonsingular(1, 0) == (0, 1)
|
||
|
|
assert locator.nonsingular(0, 0) == (-2, 2)
|
||
|
|
locator.create_dummy_axis()
|
||
|
|
# default values
|
||
|
|
assert locator.datalim_to_dt() == (
|
||
|
|
datetime.datetime(1970, 1, 1, 0, 0, tzinfo=datetime.timezone.utc),
|
||
|
|
datetime.datetime(1970, 1, 2, 0, 0, tzinfo=datetime.timezone.utc))
|
||
|
|
|
||
|
|
# Check default is UTC
|
||
|
|
assert locator.tz == mdates.UTC
|
||
|
|
tz_str = 'Iceland'
|
||
|
|
iceland_tz = dateutil.tz.gettz(tz_str)
|
||
|
|
# Check not Iceland
|
||
|
|
assert locator.tz != iceland_tz
|
||
|
|
# Set it to Iceland
|
||
|
|
locator.set_tzinfo('Iceland')
|
||
|
|
# Check now it is Iceland
|
||
|
|
assert locator.tz == iceland_tz
|
||
|
|
locator.create_dummy_axis()
|
||
|
|
locator.axis.set_data_interval(*mdates.date2num(["2022-01-10",
|
||
|
|
"2022-01-08"]))
|
||
|
|
assert locator.datalim_to_dt() == (
|
||
|
|
datetime.datetime(2022, 1, 8, 0, 0, tzinfo=iceland_tz),
|
||
|
|
datetime.datetime(2022, 1, 10, 0, 0, tzinfo=iceland_tz))
|
||
|
|
|
||
|
|
# Set rcParam
|
||
|
|
plt.rcParams['timezone'] = tz_str
|
||
|
|
|
||
|
|
# Create a new one in a similar way
|
||
|
|
locator = mdates.DateLocator()
|
||
|
|
# Check now it is Iceland
|
||
|
|
assert locator.tz == iceland_tz
|
||
|
|
|
||
|
|
# Test invalid tz values
|
||
|
|
with pytest.raises(ValueError, match="Aiceland is not a valid timezone"):
|
||
|
|
mdates.DateLocator(tz="Aiceland")
|
||
|
|
with pytest.raises(TypeError,
|
||
|
|
match="tz must be string or tzinfo subclass."):
|
||
|
|
mdates.DateLocator(tz=1)
|
||
|
|
|
||
|
|
|
||
|
|
def test_datestr2num():
|
||
|
|
assert mdates.datestr2num('2022-01-10') == 19002.0
|
||
|
|
dt = datetime.date(year=2022, month=1, day=10)
|
||
|
|
assert mdates.datestr2num('2022-01', default=dt) == 19002.0
|
||
|
|
assert np.all(mdates.datestr2num(
|
||
|
|
['2022-01', '2022-02'], default=dt
|
||
|
|
) == np.array([19002., 19033.]))
|
||
|
|
assert mdates.datestr2num([]).size == 0
|
||
|
|
assert mdates.datestr2num([], datetime.date(year=2022,
|
||
|
|
month=1, day=10)).size == 0
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize('kwarg',
|
||
|
|
('formats', 'zero_formats', 'offset_formats'))
|
||
|
|
def test_concise_formatter_exceptions(kwarg):
|
||
|
|
locator = mdates.AutoDateLocator()
|
||
|
|
kwargs = {kwarg: ['', '%Y']}
|
||
|
|
match = f"{kwarg} argument must be a list"
|
||
|
|
with pytest.raises(ValueError, match=match):
|
||
|
|
mdates.ConciseDateFormatter(locator, **kwargs)
|
||
|
|
|
||
|
|
|
||
|
|
def test_concise_formatter_call():
|
||
|
|
locator = mdates.AutoDateLocator()
|
||
|
|
formatter = mdates.ConciseDateFormatter(locator)
|
||
|
|
assert formatter(19002.0) == '2022'
|
||
|
|
assert formatter.format_data_short(19002.0) == '2022-01-10 00:00:00'
|
||
|
|
|
||
|
|
|
||
|
|
def test_datetime_masked():
|
||
|
|
# make sure that all-masked data falls back to the viewlim
|
||
|
|
# set in convert.axisinfo....
|
||
|
|
x = np.array([datetime.datetime(2017, 1, n) for n in range(1, 6)])
|
||
|
|
y = np.array([1, 2, 3, 4, 5])
|
||
|
|
m = np.ma.masked_greater(y, 0)
|
||
|
|
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
ax.plot(x, m)
|
||
|
|
assert ax.get_xlim() == (0, 1)
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize('val', (-1000000, 10000000))
|
||
|
|
def test_num2date_error(val):
|
||
|
|
with pytest.raises(ValueError, match=f"Date ordinal {val} converts"):
|
||
|
|
mdates.num2date(val)
|
||
|
|
|
||
|
|
|
||
|
|
def test_num2date_roundoff():
|
||
|
|
assert mdates.num2date(100000.0000578702) == datetime.datetime(
|
||
|
|
2243, 10, 17, 0, 0, 4, 999980, tzinfo=datetime.timezone.utc)
|
||
|
|
# Slightly larger, steps of 20 microseconds
|
||
|
|
assert mdates.num2date(100000.0000578703) == datetime.datetime(
|
||
|
|
2243, 10, 17, 0, 0, 5, tzinfo=datetime.timezone.utc)
|
||
|
|
|
||
|
|
|
||
|
|
def test_DateFormatter_settz():
|
||
|
|
time = mdates.date2num(datetime.datetime(2011, 1, 1, 0, 0,
|
||
|
|
tzinfo=mdates.UTC))
|
||
|
|
formatter = mdates.DateFormatter('%Y-%b-%d %H:%M')
|
||
|
|
# Default UTC
|
||
|
|
assert formatter(time) == '2011-Jan-01 00:00'
|
||
|
|
|
||
|
|
# Set tzinfo
|
||
|
|
formatter.set_tzinfo('Pacific/Kiritimati')
|
||
|
|
assert formatter(time) == '2011-Jan-01 14:00'
|