def test_plot_box_data(self):
"""_plot_box_data() should return a dictionary for Line2D's."""
fig, ax = plt.subplots()
result = _plot_box_data(ax, [0, 0, 7, 8, -3, 44], 'blue', 0.33, 55,
1.5, 'stdv')
self.assertEqual(result.__class__.__name__, "dict")
self.assertEqual(len(result['boxes']), 1)
self.assertEqual(len(result['medians']), 1)
self.assertEqual(len(result['whiskers']), 2)
self.assertEqual(len(result['fliers']), 2)
self.assertEqual(len(result['caps']), 2)
def test_plot_box_data(self):
"""_plot_box_data() should return a dictionary for Line2D's."""
fig, ax = plt.subplots()
result = _plot_box_data(ax, [0, 0, 7, 8, -3, 44], 'blue', 0.33, 55,
1.5, 'stdv')
self.assertEqual(result.__class__.__name__, "dict")
self.assertEqual(len(result['boxes']), 1)
self.assertEqual(len(result['medians']), 1)
self.assertEqual(len(result['whiskers']), 2)
self.assertEqual(len(result['fliers']), 2)
self.assertEqual(len(result['caps']), 2)
def test_plot_box_data(self):
fig, ax = plt.subplots()
result = _plot_box_data(ax, [0, 0, 7, 8, -3, 44], "blue", 0.33, 55, 1.5, "stdv")
self.assertEqual(result.__class__.__name__, "dict")
self.assertEqual(len(result["boxes"]), 1)
self.assertEqual(len(result["medians"]), 1)
self.assertEqual(len(result["whiskers"]), 2)
# mpl < 1.4.0 creates two Line2D instances, mpl 1.4.0 creates one,
# though the resulting plot looks identical between the two versions.
# see:
# https://github.com/pydata/pandas/issues/8382#issuecomment-56840974
# https://github.com/matplotlib/matplotlib/issues/3544
self.assertTrue(len(result["fliers"]) == 1 or len(result["fliers"]) == 2)
self.assertEqual(len(result["caps"]), 2)
def test_plot_box_data(self):
fig, ax = plt.subplots()
result = _plot_box_data(ax, [0, 0, 7, 8, -3, 44], 'blue', 0.33, 55,
1.5, 'stdv')
self.assertEqual(result.__class__.__name__, "dict")
self.assertEqual(len(result['boxes']), 1)
self.assertEqual(len(result['medians']), 1)
self.assertEqual(len(result['whiskers']), 2)
# mpl < 1.4.0 creates two Line2D instances, mpl 1.4.0 creates one,
# though the resulting plot looks identical between the two versions.
# see:
# https://github.com/pydata/pandas/issues/8382#issuecomment-56840974
# https://github.com/matplotlib/matplotlib/issues/3544
self.assertTrue(
len(result['fliers']) == 1 or len(result['fliers']) == 2)
self.assertEqual(len(result['caps']), 2)
def test_plot_box_data_empty(self):
fig, ax = plt.subplots()
result = _plot_box_data(ax, [], 'blue', 0.33, 55, 1.5, 'stdv')
self.assertTrue(result is None)
def test_plot_box_data_empty(self):
fig, ax = plt.subplots()
result = _plot_box_data(ax, [], 'blue', 0.33, 55, 1.5, 'stdv')
self.assertTrue(result is None)
def test_plot_box_data_empty(self):
"""Should ignore empty distribution."""
fig, ax = plt.subplots()
result = _plot_box_data(ax, [], 'blue', 0.33, 55, 1.5, 'stdv')
self.assertTrue(result is None)
def test_plot_box_data_empty(self):
"""Should ignore empty distribution."""
fig, ax = plt.subplots()
result = _plot_box_data(ax, [], 'blue', 0.33, 55, 1.5, 'stdv')
self.assertTrue(result is None)
