class TestCommunication(object):
def setup_method(self, method):
self.data = Data(x=[1, 2, 3, 2, 2, 3, 1])
figure = MagicMock()
self.collect = DataCollection()
self.client = HistogramClient(self.collect, figure)
self.axes = self.client.axes
self.hub = self.collect.hub
self.connect()
def draw_count(self):
return self.axes.figure.canvas.draw.call_count
def connect(self):
self.client.register_to_hub(self.hub)
self.collect.register_to_hub(self.hub)
def test_ignore_data_add_message(self):
self.collect.append(self.data)
assert not (self.client.layer_present(self.data))
def test_update_data_ignored_if_data_not_present(self):
self.collect.append(self.data)
ct0 = self.draw_count()
self.data.style.color = 'blue'
assert self.draw_count() == ct0
def test_update_data_processed_if_data_present(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
ct0 = self.draw_count()
self.data.style.color = 'blue'
assert self.draw_count() > ct0
def test_add_subset_ignored_if_data_not_present(self):
self.collect.append(self.data)
sub = self.data.new_subset()
assert not (self.client.layer_present(sub))
def test_add_subset_processed_if_data_present(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
sub = self.data.new_subset()
assert (self.client.layer_present(sub))
def test_update_subset_ignored_if_not_present(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
sub = self.data.new_subset()
self.client.remove_layer(sub)
ct0 = self.draw_count()
sub.style.color = 'blue'
assert self.draw_count() == ct0
def test_update_subset_processed_if_present(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
sub = self.data.new_subset()
ct0 = self.draw_count()
sub.style.color = 'blue'
assert self.draw_count() > ct0
def test_data_remove_message(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
self.collect.remove(self.data)
assert not self.client.layer_present(self.data)
def test_subset_remove_message(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
sub = self.data.new_subset()
assert self.client.layer_present(sub)
sub.delete()
assert not self.client.layer_present(sub)
def setup_subset(self):
ax = MagicMock()
d = Data(x=[1, 2, 3])
s = d.new_subset()
s.subset_state = d.id['x'] > 1
self.artist = HistogramLayerArtist(s, ax)
class TestHistogramClient(object):
def setup_method(self, method):
self.data = Data(x=[0, 0, 0, 1, 2, 3, 3, 10, 20],
y=[-1, -1, -1, -2, -2, -2, -3, -5, -7])
self.subset = self.data.new_subset()
self.collect = DataCollection(self.data)
self.client = HistogramClient(self.collect, FIGURE)
self.axes = self.client.axes
FIGURE.canvas.draw = MagicMock()
assert FIGURE.canvas.draw.call_count == 0
def draw_count(self):
return self.axes.figure.canvas.draw.call_count
def layer_drawn(self, layer):
return layer in self.client._artists and \
all(a.visible for a in self.client._artists[layer]) and \
all(len(a.artists) > 0 for a in self.client._artists[layer])
def layer_present(self, layer):
return layer in self.client._artists
def assert_autoscaled(self):
yra = self.client.axes.get_ylim()
datara = [99999, -99999]
for a in self.client._artists:
if a.y.size > 0:
datara[0] = min(datara[0], a.y.min())
datara[1] = max(datara[1], a.y.max())
assert yra[0] <= datara[0]
assert yra[1] >= datara[1]
def test_empty_on_creation(self):
assert self.data not in self.client._artists
def test_add_layer(self):
self.client.add_layer(self.data)
assert self.layer_present(self.data)
assert not self.layer_drawn(self.data)
self.client.set_component(self.data.components[0])
assert self.layer_drawn(self.data)
def test_add_invalid_layer_raises(self):
self.collect.remove(self.data)
with pytest.raises(IncompatibleDataException):
self.client.add_layer(self.data)
def test_add_subset_auto_adds_data(self):
subset = self.data.new_subset()
self.client.add_layer(subset)
assert self.layer_present(self.data)
assert self.layer_present(subset)
self.client.set_component(self.data.components[0])
assert self.layer_drawn(self.data)
def test_double_add_ignored(self):
self.client.add_layer(self.data)
art = self.client._artists[self.data]
self.client.add_layer(self.data)
assert self.client._artists[self.data] == art
def test_add_data_auto_adds_subsets(self):
s = self.data.new_subset()
self.client.add_layer(self.data)
assert self.layer_present(s)
def test_data_removal(self):
self.client.add_layer(self.data)
self.client.remove_layer(self.data)
assert not (self.layer_present(self.data))
def test_data_removal_removes_subsets(self):
self.client.add_layer(self.data)
self.client.remove_layer(self.data)
self.data.new_subset()
assert len(self.data.subsets) > 0
for subset in self.data.subsets:
assert not (self.layer_present(subset))
def test_layer_updates_on_data_add(self):
self.client.add_layer(self.data)
for s in self.data.subsets:
assert s in self.client._artists
def test_set_component_updates_component(self):
self.client.add_layer(self.data)
comp = self.data.find_component_id('uniform')
self.client.set_component(comp)
assert self.client._component is comp
def test_set_component_redraws(self):
self.client.add_layer(self.data)
comp = self.data.id['x']
comp2 = self.data.id['y']
self.client.set_component(comp)
ct0 = self.draw_count()
self.client.set_component(comp2)
assert self.draw_count() > ct0
def test_remove_not_present_ignored(self):
self.client.remove_layer(self.data)
def test_set_visible_external_data(self):
self.client.set_layer_visible(None, False)
def test_get_visible_external_data(self):
assert not (self.client.is_layer_visible(None))
def test_set_visible(self):
self.client.add_layer(self.data)
self.client.set_layer_visible(self.data, False)
assert not (self.client.is_layer_visible(self.data))
def test_draw_histogram_one_layer(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.find_component_id('uniform'))
def test_draw_histogram_subset_hidden(self):
self.client.add_layer(self.data)
s = self.data.new_subset()
self.client.set_layer_visible(s, False)
self.client.set_component(self.data.find_component_id('uniform'))
def test_draw_histogram_two_layers(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.find_component_id('uniform'))
def test_update_property_set_triggers_redraw(self):
self.client.add_layer(self.data)
ct = self.draw_count()
self.client.normed ^= True
assert self.draw_count() > ct
@pytest.mark.parametrize(('prop'), ['normed', 'cumulative'])
def test_set_boolean_property(self, prop):
"""Boolean properties should sync with artists"""
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
setattr(self.client, prop, False)
for a in self.client._artists:
assert not getattr(a, prop)
setattr(self.client, prop, True)
for a in self.client._artists:
assert getattr(a, prop)
def test_set_nbins(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.nbins = 100
for a in self.client._artists[self.data]:
assert a.nbins == 100
assert a.x.size == 100 + 1
def test_autoscale(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.axes.set_ylim(0, .1)
self.client.autoscale = False
self.client.autoscale = True
self.assert_autoscaled()
def test_xlimits(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.xlimits = -12, 20
assert self.client.xlimits == (-12, 20)
for a in self.client._artists[self.data]:
assert a.lo == -12
assert a.hi == 20
def test_set_xlimits_out_of_data_range(self):
"""Setting xlimits outside of range shouldn't crash"""
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.xlimits = 100, 200
self.client.xlimits = -200, -100
def test_component_property(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
assert self.client.component is self.data.components[0]
def test_apply_roi(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['y'])
# bins are -7...-1
self.data.edit_subset = [self.data.subsets[0]]
roi = PolygonalROI(vx=[-5.1, -4.5, -3.2], vy=[2, 3, 4])
self.client.apply_roi(roi)
state = self.data.subsets[0].subset_state
assert isinstance(state, RangeSubsetState)
# range should expand to nearest bin edge
assert state.lo == -6
assert state.hi == -3
def test_apply_roi_xlog(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.data.edit_subset = [self.data.subsets[0]]
self.client.xlog = True
roi = PolygonalROI(vx=[1, 2, 3], vy=[2, 3, 4])
self.client.apply_roi(roi)
state = self.data.subsets[0].subset_state
assert isinstance(state, RangeSubsetState)
np.testing.assert_allclose(state.lo, 7.3680629972807736)
np.testing.assert_allclose(state.hi, 1000)
def test_xlimits_sticky_with_component(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.xlimits = 5, 6
self.client.set_component(self.data.components[1])
self.client.xlimits = 7, 8
self.client.set_component(self.data.components[0])
assert self.client.xlimits == (5, 6)
self.client.set_component(self.data.components[1])
assert self.client.xlimits == (7, 8)
def test_default_xlimits(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
assert self.client.xlimits == (0, 20)
self.client.set_component(self.data.id['y'])
assert self.client.xlimits == (-7, -1)
def test_xlimit_single_set(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.xlimits = (None, 5)
assert self.client.xlimits == (0, 5)
self.client.xlimits = (3, None)
assert self.client.xlimits == (3, 5)
def test_xlimit_reverse_set(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.xlimits = 5, 3
assert self.client.xlimits == (3, 5)
def test_xlog_axes_labels(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.xlog = True
assert self.client.axes.get_xlabel() == 'Log x'
self.client.xlog = False
assert self.client.axes.get_xlabel() == 'x'
self.client.ylog = True
assert self.client.axes.get_ylabel() == 'N'
self.client.ylog = False
assert self.client.axes.get_ylabel() == 'N'
def test_xlog_snaps_limits(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.axes.set_xlim((-1, 1))
self.client.xlog = True
assert self.client.axes.get_xlim() != (-1, 1)
def test_artist_clear_resets_arrays(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
for a in self.client._artists[self.data]:
assert a.get_data()[0].size > 0
a.clear()
assert a.get_data()[0].size == 0
def test_component_replaced(self):
# regression test for 508
self.client.register_to_hub(self.collect.hub)
self.client.add_layer(self.data)
self.client.component = self.data.components[0]
test = ComponentID('test')
self.data.update_id(self.client.component, test)
assert self.client.component is test
def test_update_when_limits_unchanged(self):
# Regression test for glue-viz/glue#1010 - this bug caused histograms
# to not be recomputed if the attribute changed but the limits and
# number of bins did not.
self.client.add_layer(self.data)
self.client.set_component(self.data.id['y'])
self.client.xlimits = -20, 20
self.client.nbins = 12
y1 = self.client._artists[0]._y
self.client.set_component(self.data.id['x'])
self.client.xlimits = -20, 20
self.client.nbins = 12
y2 = self.client._artists[0]._y
assert not np.allclose(y1, y2)
self.client.set_component(self.data.id['y'])
y3 = self.client._artists[0]._y
np.testing.assert_allclose(y1, y3)
class TestCategoricalHistogram(TestHistogramClient):
def setup_method(self, method):
self.data = Data(y=[-1, -1, -1, -2, -2, -2, -3, -5, -7])
self.data.add_component(CategoricalComponent(['a', 'a', 'a', 'b', 'c', 'd', 'd', 'e', 'f']), 'x')
self.subset = self.data.new_subset()
self.collect = DataCollection(self.data)
self.client = HistogramClient(self.collect, FIGURE)
self.axes = self.client.axes
FIGURE.canvas.draw = MagicMock()
assert FIGURE.canvas.draw.call_count == 0
def test_xlimit_single_set(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.xlimits = (None, 5)
assert self.client.xlimits == (-0.5, 5)
self.client.xlimits = (3, None)
assert self.client.xlimits == (3, 5)
def test_default_xlimits(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
assert self.client.xlimits == (-0.5, 5.5)
self.client.set_component(self.data.id['y'])
assert self.client.xlimits == (-7, -1)
def test_change_default_bins(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
assert self.client.nbins == 6
def test_tick_labels(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
correct_labels = ['a', 'b', 'c', 'd', 'e', 'f']
formatter = self.client.axes.xaxis.get_major_formatter()
xlabels = [formatter.format_data(pos) for pos in range(6)]
assert correct_labels == xlabels
def test_apply_roi(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
# bins are 1...4
self.data.edit_subset = [self.data.subsets[0]]
roi = MagicMock()
roi.to_polygon.return_value = [1.2, 2, 4], [2, 3, 4]
self.client.apply_roi(roi)
state = self.data.subsets[0].subset_state
assert isinstance(state, CategoricalROISubsetState)
np.testing.assert_equal(self.data.subsets[0].subset_state.roi.categories,
np.array(['b', 'c', 'd', 'e']))
# REMOVED TESTS
def test_xlog_axes_labels(self):
""" log-scale doesn't make sense for categorical data"""
pass
def test_xlog_snaps_limits(self):
""" log-scale doesn't make sense for categorical data"""
pass
def test_apply_roi_xlog(self):
""" log-scale doesn't make sense for categorical data"""
pass
def test_nbin_override_persists_over_attribute_change(self):
# regression test for #398
self.collect.append(self.data)
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.nbins = 7
self.client.set_component(self.data.id['y'])
assert self.client.nbins == 7
def setup_subset(self):
ax = MagicMock()
d = Data(x=[1, 2, 3])
s = d.new_subset()
s.subset_state = d.id['x'] > 1
self.artist = HistogramLayerArtist(s, ax)
class TestCommunication(object):
def setup_method(self, method):
self.data = Data(x=[1, 2, 3, 2, 2, 3, 1])
figure = MagicMock()
self.collect = DataCollection()
self.client = HistogramClient(self.collect, figure)
self.axes = self.client.axes
self.hub = self.collect.hub
self.connect()
def draw_count(self):
return self.axes.figure.canvas.draw.call_count
def connect(self):
self.client.register_to_hub(self.hub)
self.collect.register_to_hub(self.hub)
def test_ignore_data_add_message(self):
self.collect.append(self.data)
assert not (self.client.layer_present(self.data))
def test_update_data_ignored_if_data_not_present(self):
self.collect.append(self.data)
ct0 = self.draw_count()
self.data.style.color = 'blue'
assert self.draw_count() == ct0
def test_update_data_processed_if_data_present(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
ct0 = self.draw_count()
self.data.style.color = 'blue'
assert self.draw_count() > ct0
def test_add_subset_ignored_if_data_not_present(self):
self.collect.append(self.data)
sub = self.data.new_subset()
assert not (self.client.layer_present(sub))
def test_add_subset_processed_if_data_present(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
sub = self.data.new_subset()
assert (self.client.layer_present(sub))
def test_update_subset_ignored_if_not_present(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
sub = self.data.new_subset()
self.client.remove_layer(sub)
ct0 = self.draw_count()
sub.style.color = 'blue'
assert self.draw_count() == ct0
def test_update_subset_processed_if_present(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
sub = self.data.new_subset()
ct0 = self.draw_count()
sub.style.color = 'blue'
assert self.draw_count() > ct0
def test_data_remove_message(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
self.collect.remove(self.data)
assert not self.client.layer_present(self.data)
def test_subset_remove_message(self):
self.collect.append(self.data)
self.client.add_layer(self.data)
sub = self.data.new_subset()
assert self.client.layer_present(sub)
sub.delete()
assert not self.client.layer_present(sub)
class TestCategoricalHistogram(TestHistogramClient):
def setup_method(self, method):
self.data = Data(y=[-1, -1, -1, -2, -2, -2, -3, -5, -7])
self.data.add_component(
CategoricalComponent(['a', 'a', 'a', 'b', 'c', 'd', 'd', 'e',
'f']), 'x')
self.subset = self.data.new_subset()
self.collect = DataCollection(self.data)
self.client = HistogramClient(self.collect, FIGURE)
self.axes = self.client.axes
FIGURE.canvas.draw = MagicMock()
assert FIGURE.canvas.draw.call_count == 0
def test_xlimit_single_set(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.xlimits = (None, 5)
assert self.client.xlimits == (-0.5, 5)
self.client.xlimits = (3, None)
assert self.client.xlimits == (3, 5)
def test_default_xlimits(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
assert self.client.xlimits == (-0.5, 5.5)
self.client.set_component(self.data.id['y'])
assert self.client.xlimits == (-7, -1)
def test_change_default_bins(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
assert self.client.nbins == 6
def test_tick_labels(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
correct_labels = ['a', 'b', 'c', 'd', 'e', 'f']
formatter = self.client.axes.xaxis.get_major_formatter()
xlabels = [formatter.format_data(pos) for pos in range(6)]
assert correct_labels == xlabels
def test_apply_roi(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
# bins are 1...4
self.data.edit_subset = [self.data.subsets[0]]
roi = MagicMock()
roi.to_polygon.return_value = [1.2, 2, 4], [2, 3, 4]
self.client.apply_roi(roi)
state = self.data.subsets[0].subset_state
assert isinstance(state, CategoricalROISubsetState)
np.testing.assert_equal(
self.data.subsets[0].subset_state.roi.categories,
np.array(['b', 'c', 'd', 'e']))
# REMOVED TESTS
def test_xlog_axes_labels(self):
""" log-scale doesn't make sense for categorical data"""
pass
def test_xlog_snaps_limits(self):
""" log-scale doesn't make sense for categorical data"""
pass
def test_apply_roi_xlog(self):
""" log-scale doesn't make sense for categorical data"""
pass
def test_nbin_override_persists_over_attribute_change(self):
# regression test for #398
self.collect.append(self.data)
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.nbins = 7
self.client.set_component(self.data.id['y'])
assert self.client.nbins == 7
class TestHistogramClient(object):
def setup_method(self, method):
self.data = Data(x=[0, 0, 0, 1, 2, 3, 3, 10, 20],
y=[-1, -1, -1, -2, -2, -2, -3, -5, -7])
self.subset = self.data.new_subset()
self.collect = DataCollection(self.data)
self.client = HistogramClient(self.collect, FIGURE)
self.axes = self.client.axes
FIGURE.canvas.draw = MagicMock()
assert FIGURE.canvas.draw.call_count == 0
def draw_count(self):
return self.axes.figure.canvas.draw.call_count
def layer_drawn(self, layer):
return layer in self.client._artists and \
all(a.visible for a in self.client._artists[layer]) and \
all(len(a.artists) > 0 for a in self.client._artists[layer])
def layer_present(self, layer):
return layer in self.client._artists
def assert_autoscaled(self):
yra = self.client.axes.get_ylim()
datara = [99999, -99999]
for a in self.client._artists:
if a.y.size > 0:
datara[0] = min(datara[0], a.y.min())
datara[1] = max(datara[1], a.y.max())
assert yra[0] <= datara[0]
assert yra[1] >= datara[1]
def test_empty_on_creation(self):
assert self.data not in self.client._artists
def test_add_layer(self):
self.client.add_layer(self.data)
assert self.layer_present(self.data)
assert not self.layer_drawn(self.data)
self.client.set_component(self.data.components[0])
assert self.layer_drawn(self.data)
def test_add_invalid_layer_raises(self):
self.collect.remove(self.data)
with pytest.raises(IncompatibleDataException):
self.client.add_layer(self.data)
def test_add_subset_auto_adds_data(self):
subset = self.data.new_subset()
self.client.add_layer(subset)
assert self.layer_present(self.data)
assert self.layer_present(subset)
self.client.set_component(self.data.components[0])
assert self.layer_drawn(self.data)
def test_double_add_ignored(self):
self.client.add_layer(self.data)
art = self.client._artists[self.data]
self.client.add_layer(self.data)
assert self.client._artists[self.data] == art
def test_add_data_auto_adds_subsets(self):
s = self.data.new_subset()
self.client.add_layer(self.data)
assert self.layer_present(s)
def test_data_removal(self):
self.client.add_layer(self.data)
self.client.remove_layer(self.data)
assert not (self.layer_present(self.data))
def test_data_removal_removes_subsets(self):
self.client.add_layer(self.data)
self.client.remove_layer(self.data)
self.data.new_subset()
assert len(self.data.subsets) > 0
for subset in self.data.subsets:
assert not (self.layer_present(subset))
def test_layer_updates_on_data_add(self):
self.client.add_layer(self.data)
for s in self.data.subsets:
assert s in self.client._artists
def test_set_component_updates_component(self):
self.client.add_layer(self.data)
comp = self.data.find_component_id('uniform')
self.client.set_component(comp)
assert self.client._component is comp
def test_set_component_redraws(self):
self.client.add_layer(self.data)
comp = self.data.id['x']
comp2 = self.data.id['y']
self.client.set_component(comp)
ct0 = self.draw_count()
self.client.set_component(comp2)
assert self.draw_count() > ct0
def test_remove_not_present_ignored(self):
self.client.remove_layer(self.data)
def test_set_visible_external_data(self):
self.client.set_layer_visible(None, False)
def test_get_visible_external_data(self):
assert not (self.client.is_layer_visible(None))
def test_set_visible(self):
self.client.add_layer(self.data)
self.client.set_layer_visible(self.data, False)
assert not (self.client.is_layer_visible(self.data))
def test_draw_histogram_one_layer(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.find_component_id('uniform'))
def test_draw_histogram_subset_hidden(self):
self.client.add_layer(self.data)
s = self.data.new_subset()
self.client.set_layer_visible(s, False)
self.client.set_component(self.data.find_component_id('uniform'))
def test_draw_histogram_two_layers(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.find_component_id('uniform'))
def test_update_property_set_triggers_redraw(self):
self.client.add_layer(self.data)
ct = self.draw_count()
self.client.normed ^= True
assert self.draw_count() > ct
@pytest.mark.parametrize(('prop'), ['normed', 'cumulative'])
def test_set_boolean_property(self, prop):
"""Boolean properties should sync with artists"""
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
setattr(self.client, prop, False)
for a in self.client._artists:
assert not getattr(a, prop)
setattr(self.client, prop, True)
for a in self.client._artists:
assert getattr(a, prop)
def test_set_nbins(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.nbins = 100
for a in self.client._artists[self.data]:
assert a.nbins == 100
assert a.x.size == 100 + 1
def test_autoscale(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.axes.set_ylim(0, .1)
self.client.autoscale = False
self.client.autoscale = True
self.assert_autoscaled()
def test_xlimits(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.xlimits = -12, 20
assert self.client.xlimits == (-12, 20)
for a in self.client._artists[self.data]:
assert a.lo == -12
assert a.hi == 20
def test_set_xlimits_out_of_data_range(self):
"""Setting xlimits outside of range shouldn't crash"""
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.xlimits = 100, 200
self.client.xlimits = -200, -100
def test_component_property(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
assert self.client.component is self.data.components[0]
def test_apply_roi(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['y'])
# bins are -7...-1
self.data.edit_subset = [self.data.subsets[0]]
roi = PolygonalROI(vx=[-5.1, -4.5, -3.2], vy=[2, 3, 4])
self.client.apply_roi(roi)
state = self.data.subsets[0].subset_state
assert isinstance(state, RangeSubsetState)
# range should expand to nearest bin edge
assert state.lo == -6
assert state.hi == -3
def test_apply_roi_xlog(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.data.edit_subset = [self.data.subsets[0]]
self.client.xlog = True
roi = PolygonalROI(vx=[1, 2, 3], vy=[2, 3, 4])
self.client.apply_roi(roi)
state = self.data.subsets[0].subset_state
assert isinstance(state, RangeSubsetState)
np.testing.assert_allclose(state.lo, 7.3680629972807736)
np.testing.assert_allclose(state.hi, 1000)
def test_xlimits_sticky_with_component(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
self.client.xlimits = 5, 6
self.client.set_component(self.data.components[1])
self.client.xlimits = 7, 8
self.client.set_component(self.data.components[0])
assert self.client.xlimits == (5, 6)
self.client.set_component(self.data.components[1])
assert self.client.xlimits == (7, 8)
def test_default_xlimits(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
assert self.client.xlimits == (0, 20)
self.client.set_component(self.data.id['y'])
assert self.client.xlimits == (-7, -1)
def test_xlimit_single_set(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.xlimits = (None, 5)
assert self.client.xlimits == (0, 5)
self.client.xlimits = (3, None)
assert self.client.xlimits == (3, 5)
def test_xlimit_reverse_set(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.xlimits = 5, 3
assert self.client.xlimits == (3, 5)
def test_xlog_axes_labels(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.xlog = True
assert self.client.axes.get_xlabel() == 'Log x'
self.client.xlog = False
assert self.client.axes.get_xlabel() == 'x'
self.client.ylog = True
assert self.client.axes.get_ylabel() == 'N'
self.client.ylog = False
assert self.client.axes.get_ylabel() == 'N'
def test_xlog_snaps_limits(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.id['x'])
self.client.axes.set_xlim((-1, 1))
self.client.xlog = True
assert self.client.axes.get_xlim() != (-1, 1)
def test_artist_clear_resets_arrays(self):
self.client.add_layer(self.data)
self.client.set_component(self.data.components[0])
for a in self.client._artists[self.data]:
assert a.get_data()[0].size > 0
a.clear()
assert a.get_data()[0].size == 0
def test_component_replaced(self):
# regression test for 508
self.client.register_to_hub(self.collect.hub)
self.client.add_layer(self.data)
self.client.component = self.data.components[0]
test = ComponentID('test')
self.data.update_id(self.client.component, test)
assert self.client.component is test
""" Sign up to receive DataMessages from the hub """
hub.subscribe(self, # subscribing object
DataMessage, # message type to subscribe to
handler = self.receive_message) # method to call
def receive_message(self, message):
""" Receives each DataMessage relay """
print " MyClient received a message \n"
# create objects
hub = Hub()
client = MyClient()
data = Data()
subset = data.new_subset()
data_collection = DataCollection()
# connect them to each other
data_collection.append(data)
data_collection.register_to_hub(hub)
client.register_to_hub(hub)
# manually send a DataMessage. Relayed to MyClient
print 'Manually sending DataMessage'
message = DataMessage(data)
hub.broadcast(message)
#modify the data object. Automatically generates a DataMessage
print 'Automatically triggering DataMessage'
data.label = "New label"