def test_timedelta_plot(self):
# test issue #8711
s = Series(range(5), timedelta_range('1day', periods=5))
_check_plot_works(s.plot)
# test long period
index = timedelta_range('1 day 2 hr 30 min 10 s',
periods=10, freq='1 d')
s = Series(np.random.randn(len(index)), index)
_check_plot_works(s.plot)
# test short period
index = timedelta_range('1 day 2 hr 30 min 10 s',
periods=10, freq='1 ns')
s = Series(np.random.randn(len(index)), index)
_check_plot_works(s.plot)
def test_format_timedelta_ticks_wide(self):
if is_platform_mac():
pytest.skip("skip on mac for precision display issue on older mpl")
expected_labels = [
'00:00:00',
'1 days 03:46:40',
'2 days 07:33:20',
'3 days 11:20:00',
'4 days 15:06:40',
'5 days 18:53:20',
'6 days 22:40:00',
'8 days 02:26:40',
''
]
rng = timedelta_range('0', periods=10, freq='1 d')
df = DataFrame(np.random.randn(len(rng), 3), rng)
ax = df.plot(fontsize=2)
fig = ax.get_figure()
fig.canvas.draw()
labels = ax.get_xticklabels()
self.assertEqual(len(labels), len(expected_labels))
for l, l_expected in zip(labels, expected_labels):
self.assertEqual(l.get_text(), l_expected)
def test_timedelta_plot(self):
# test issue #8711
s = Series(range(5), timedelta_range('1day', periods=5))
_check_plot_works(s.plot)
# test long period
index = timedelta_range('1 day 2 hr 30 min 10 s',
periods=10,
freq='1 d')
s = Series(np.random.randn(len(index)), index)
_check_plot_works(s.plot)
# test short period
index = timedelta_range('1 day 2 hr 30 min 10 s',
periods=10,
freq='1 ns')
s = Series(np.random.randn(len(index)), index)
_check_plot_works(s.plot)
def test_format_timedelta_ticks_narrow(self):
if is_platform_mac():
pytest.skip("skip on mac for precision display issue on older mpl")
expected_labels = [
'00:00:00.00000000{:d}'.format(i) for i in range(10)
]
rng = timedelta_range('0', periods=10, freq='ns')
df = DataFrame(np.random.randn(len(rng), 3), rng)
ax = df.plot(fontsize=2)
fig = ax.get_figure()
fig.canvas.draw()
labels = ax.get_xticklabels()
self.assertEqual(len(labels), len(expected_labels))
for l, l_expected in zip(labels, expected_labels):
self.assertEqual(l.get_text(), l_expected)
def test_format_timedelta_ticks_narrow(self):
if is_platform_mac():
pytest.skip("skip on mac for precision display issue on older mpl")
expected_labels = [
'00:00:00.00000000{:d}'.format(i)
for i in range(10)]
rng = timedelta_range('0', periods=10, freq='ns')
df = DataFrame(np.random.randn(len(rng), 3), rng)
ax = df.plot(fontsize=2)
fig = ax.get_figure()
fig.canvas.draw()
labels = ax.get_xticklabels()
self.assertEqual(len(labels), len(expected_labels))
for l, l_expected in zip(labels, expected_labels):
self.assertEqual(l.get_text(), l_expected)
def test_format_timedelta_ticks_wide(self):
if is_platform_mac():
pytest.skip("skip on mac for precision display issue on older mpl")
expected_labels = [
'00:00:00', '1 days 03:46:40', '2 days 07:33:20',
'3 days 11:20:00', '4 days 15:06:40', '5 days 18:53:20',
'6 days 22:40:00', '8 days 02:26:40', ''
]
rng = timedelta_range('0', periods=10, freq='1 d')
df = DataFrame(np.random.randn(len(rng), 3), rng)
ax = df.plot(fontsize=2)
fig = ax.get_figure()
fig.canvas.draw()
labels = ax.get_xticklabels()
self.assertEqual(len(labels), len(expected_labels))
for l, l_expected in zip(labels, expected_labels):
self.assertEqual(l.get_text(), l_expected)
