本文整理汇总了Python中glue.core.roi.RectangularROI类的典型用法代码示例。如果您正苦于以下问题：Python RectangularROI类的具体用法？Python RectangularROI怎么用？Python RectangularROI使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了RectangularROI类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: on_mouse_release
def on_mouse_release(self, event):
# Get the visible datasets
if event.button == 1 and self.mode is not None:
visible_data, visual = self.get_visible_data()
data = self.get_map_data()
if len(self.line_pos) == 0:
self.lasso_reset()
return
elif self.mode is 'lasso':
selection_path = path.Path(self.line_pos, closed=True)
mask = selection_path.contains_points(data)
elif self.mode is 'ellipse':
xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1])
xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1])
c = CircularROI((xmax + xmin) / 2., (ymax + ymin) / 2., (xmax - xmin) / 2.) # (xc, yc, radius)
mask = c.contains(data[:, 0], data[:, 1])
elif self.mode is 'rectangle':
xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1])
xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1])
r = RectangularROI(xmin, xmax, ymin, ymax)
mask = r.contains(data[:, 0], data[:, 1])
else:
raise ValueError("Unknown mode: {0}".format(self.mode))
self.mark_selected(mask, visible_data)
self.lasso_reset()示例2: test_spectrum
def test_spectrum(self):
roi = RectangularROI()
roi.update_limits(0, 0, 3, 3)
expected = self.x[:, :3, :3].mean(axis=1).mean(axis=1)
_, actual = Extractor.spectrum(self.data, self.data.id["x"], roi, (0, "x", "y"), 0)
np.testing.assert_array_almost_equal(expected, actual)示例3: test_apply_roi
def test_apply_roi(self):
data = self.add_data_and_attributes()
roi = RectangularROI()
roi.update_limits(*self.roi_limits)
x, y = self.roi_points
self.client.apply_roi(roi)
assert self.layer_data_correct(data.edit_subset, x, y)示例4: test_collapse
def test_collapse(self, tmpdir):
roi = RectangularROI()
roi.update_limits(0, 2, 0, 2)
self.tool._update_profile()
self._save(tmpdir)示例5: test_spectrum
def test_spectrum(self):
roi = RectangularROI()
roi.update_limits(0.5, 1.5, 2.5, 2.5)
expected = self.x[:, 1:3, 2:3].mean(axis=1).mean(axis=1)
_, actual = Extractor.spectrum(
self.data, self.data.id['x'], roi, (0, 'x', 'y'), 0)
np.testing.assert_array_almost_equal(expected, actual)示例6: test_apply_roi_results
def test_apply_roi_results(self, roi_limits, mask):
# Regression test for glue-viz/glue#718
data = self.add_data_and_attributes()
roi = RectangularROI()
roi.update_limits(*roi_limits)
x, y = self.roi_points
self.client.apply_roi(roi)
np.testing.assert_equal(data.edit_subset.to_mask(), mask)示例7: test_apply_roi_adds_on_empty
def test_apply_roi_adds_on_empty(self):
data = self.add_data_and_attributes()
data._subsets = []
data.edit_subset = None
roi = RectangularROI()
roi.update_limits(*self.roi_limits)
x, y = self.roi_points
self.client.apply_roi(roi)
assert data.edit_subset is not None示例8: test_extract
def test_extract(self):
roi = RectangularROI()
roi.update_limits(0, 0, 2, 3)
expected = self.data['x'][:, :2, :3, 1].mean(axis=1).mean(axis=1)
_, actual = Extractor.spectrum(self.data, self.data.id['x'],
roi, (0, 'x', 'y', 1), 0)
np.testing.assert_array_equal(expected, actual)示例9: test_visibility_sticky
def test_visibility_sticky(self):
data = self.add_data_and_attributes()
roi = RectangularROI()
roi.update_limits(*self.roi_limits)
assert self.client.is_visible(data.edit_subset)
self.client.apply_roi(roi)
self.client.set_visible(data.edit_subset, False)
assert not self.client.is_visible(data.edit_subset)
self.client.apply_roi(roi)
assert not self.client.is_visible(data.edit_subset)示例10: test_apply_roi_doesnt_add_if_any_selection
def test_apply_roi_doesnt_add_if_any_selection(self):
d1 = self.add_data_and_attributes()
d2 = self.add_data()
d1.edit_subset = None
d2.edit_subset = d2.new_subset()
ct = len(d1.subsets)
roi = RectangularROI()
roi.update_limits(*self.roi_limits)
x, y = self.roi_points
self.client.apply_roi(roi)
assert len(d1.subsets) == ct示例11: test_apply_roi_applies_to_all_editable_subsets
def test_apply_roi_applies_to_all_editable_subsets(self):
d1 = self.add_data_and_attributes()
d2 = self.add_data()
state1 = d1.edit_subset.subset_state
state2 = d2.edit_subset.subset_state
roi = RectangularROI()
roi.update_limits(*self.roi_limits)
x, y = self.roi_points
self.client.apply_roi(roi)
assert d1.edit_subset.subset_state is not state1
assert d1.edit_subset.subset_state is not state2示例12: test_4d_single_channel
def test_4d_single_channel():
x = np.random.random((1, 7, 5, 9))
d = Data(x=x)
slc = (0, 0, 'x', 'y')
zaxis = 1
expected = x[0, :, :, :].mean(axis=1).mean(axis=1)
roi = RectangularROI()
roi.update_limits(0, 0, 10, 10)
_, actual = Extractor.spectrum(d, d.id['x'], roi, slc, zaxis)
np.testing.assert_array_almost_equal(expected, actual)示例13: test_collapse
def test_collapse(self, tmpdir):
roi = RectangularROI()
roi.update_limits(0, 2, 0, 2)
self.tool._update_profile()
self._save(tmpdir)
# For some reason we need to close and dereference the image and tool
# here (and not in teardown_method) otherwise we are left with
# references to the image viewer.
self.image.close()
self.image = None
self.tool.close()
self.tool = None示例14: on_mouse_release
def on_mouse_release(self, event):
visible_data, visual = self.get_visible_data()
# Get the visible datasets
if event.button == 1 and self.mode is not None:
visible_data, visual = self.get_visible_data()
data = self.get_map_data()
if len(self.line_pos) == 0:
self.lasso_reset()
return
elif self.mode is 'lasso':
# Note, we use points_inside_poly here instead of calling e.g.
# matplotlib directly, because we include some optimizations
# in points_inside_poly
vx, vy = np.array(self.line_pos).transpose()
x, y = data.transpose()
mask = points_inside_poly(x, y, vx, vy)
elif self.mode is 'ellipse':
xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1])
xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1])
c = CircularROI((xmax + xmin) / 2., (ymax + ymin) / 2., (xmax - xmin) / 2.) # (xc, yc, radius)
mask = c.contains(data[:, 0], data[:, 1])
elif self.mode is 'rectangle':
xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1])
xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1])
r = RectangularROI(xmin, xmax, ymin, ymax)
mask = r.contains(data[:, 0], data[:, 1])
else:
raise ValueError("Unknown mode: {0}".format(self.mode))
# Mask matches transposed volume data set rather than the original one.
# The ravel here is to make mask compatible with ElementSubsetState input.
new_mask = np.reshape(mask, self.trans_ones_data.shape)
new_mask = np.ravel(np.transpose(new_mask))
self.mark_selected(new_mask, visible_data)
self.lasso_reset()示例15: release
def release(self, event):
if event.button == 1:
if self.corner2 is not None:
r = RectangularROI(*self.bounds)
indices_dict = {}
for layer_artist in self.iter_data_layer_artists():
data = get_map_data(layer_artist, self.viewer)
mask = r.contains(data[:, 0], data[:, 1])
shape_mask = np.reshape(mask, layer_artist.layer.shape[::-1])
shape_mask = np.ravel(np.transpose(shape_mask))
indices_dict[layer_artist.layer] = np.where(shape_mask)[0]
self.mark_selected_dict(indices_dict)
self.reset()