def test_plot_invisible_with_no_data(self, small_df, populated_config):
ds = DataSource(small_df)
hw = HistogramWidget(ds, 0, 0, 1.0, 400)
ds.brushed_indices = []
assert not hw.figure_widget.data[1].visible
ds.brushed_indices = [0]
assert hw.figure_widget.data[1].visible
def test_brush_indices_change(self, small_df, populated_config):
ds = DataSource(small_df, None)
bp = BoxPlotWidget(ds, 0, 0, 1.0, 400)
bp.build()
ds.brushed_indices = [1, 2, 3]
assert bp.figure_widget.data[0].selectedpoints == ds.brushed_indices
def test_brush_indices_change(self, small_df, populated_config):
ds = DataSource(small_df, None)
hw = HistogramWidget(ds, 0, 0, 1.0, 400)
hw.build()
ds.brushed_indices = [1, 2, 3]
assert hw.figure_widget.data[1].selectedpoints == ds.brushed_indices
assert hw.figure_widget.data[0].visible
def test_on_selection_constraint_ranges_reset(self, small_df,
populated_config):
ds = DataSource(small_df, None)
ps = ParallelCoordinatesWidget(ds, 0, 0, 1.0, 400)
dimensions = ps.figure_widget.data[0].dimensions
assert len(dimensions) != 0
dimensions = fill_sample_constraint_range(dimensions, "a", [2, 5])
ps._on_selection_helper(None, dimensions)
ds.brushed_indices = [1, 2]
assert ps.constraint_ranges == {}
def test_on_selection_helper_no_ranges_deselect(self, small_df,
populated_config):
ds = DataSource(small_df, None)
ps = ParallelCoordinatesWidget(ds, 0, 0, 1.0, 400)
ds.brushed_indices = [1, 2]
old_dimensions = deepcopy(
ps.figure_widget.data[0].dimensions) # no constraint ranges
dimensions = ps.figure_widget.data[0].dimensions
dimensions = fill_sample_constraint_range(dimensions, "a", [2, 5])
ps._on_selection_helper(None, dimensions)
assert len(ds) != 0
ps._on_selection_helper(None, old_dimensions) # trigger deselect
assert len(ds.brushed_indices) == ds.len
def test_brush_indices_change(self, small_df, populated_config):
ds = DataSource(small_df, None)
ps = ParallelCoordinatesWidget(ds, 0, 0, 1.0, 400)
dimensions = ps.figure_widget.data[0].dimensions
assert len(dimensions) != 0
dimensions = fill_sample_constraint_range(dimensions, "a", [1.5, 5])
ps.figure_widget.data[0].dimensions = dimensions
ps.change_initiated = False
ds.brushed_indices = [1, 2, 3]
assert sum(list(ps.figure_widget.data[0].line.color)) == 3
dimensions = ps.figure_widget.data[0].dimensions
for dimension in dimensions:
if dimension.label == "a":
assert dimension["constraintrange"] is None
break
def test_on_deselection(self, small_df, populated_config):
ds = DataSource(small_df, None)
ds.brushed_indices = [0]
bp = BoxPlotWidget(ds, 0, 0, 1.0, 400)
bp.on_deselection(None, None)
assert len(ds.brushed_indices) == len(small_df)
def test_on_deselection(self, small_df, populated_config):
ds = DataSource(small_df, None)
ds.brushed_indices = [0]
hw = HistogramWidget(ds, 0, 0, 1.0, 400)
hw.on_deselection(None, None)
assert len(ds.brushed_indices) == len(small_df)
def test_brush_indices_change(self, small_df, populated_config):
ds = DataSource(small_df, None)
pc = ParallelCategoriesWidget(ds, 0, 0, 1.0, 400)
ds.brushed_indices = [1, 2, 3]
assert sum(list(pc.figure_widget.data[0].line.color)) == 3