def test_nan_plot(self):
data = datasets.missing_data_1()
espy = EventSpy(self.widget, OWLinearProjection.ReplotRequest)
with excepthook_catch():
self.send_signal(self.widget.Inputs.data, data)
# ensure delayed replot request is processed
if not espy.events():
assert espy.wait(1000)
cb = self.widget.graph.controls
simulate.combobox_run_through_all(cb.attr_color)
simulate.combobox_run_through_all(cb.attr_size)
data = data.copy()
data.X[:, 0] = np.nan
data.Y[:] = np.nan
spy = EventSpy(self.widget, OWLinearProjection.ReplotRequest)
self.send_signal(self.widget.Inputs.data, data)
self.send_signal(self.widget.Inputs.data_subset, data[2:3])
if not spy.events():
assert spy.wait()
with excepthook_catch():
simulate.combobox_activate_item(cb.attr_color, "X1")
with excepthook_catch():
simulate.combobox_activate_item(cb.attr_size, "X1")
def test_nan_plot(self):
data = datasets.missing_data_1()
espy = EventSpy(self.widget, OWLinearProjection.ReplotRequest)
with excepthook_catch():
self.send_signal(self.widget.Inputs.data, data)
# ensure delayed replot request is processed
if not espy.events():
assert espy.wait(1000)
cb = self.widget.graph.controls
simulate.combobox_run_through_all(cb.attr_color)
simulate.combobox_run_through_all(cb.attr_size)
data = data.copy()
data.X[:, 0] = np.nan
data.Y[:] = np.nan
spy = EventSpy(self.widget, OWLinearProjection.ReplotRequest)
self.send_signal(self.widget.Inputs.data, data)
self.send_signal(self.widget.Inputs.data_subset, data[2:3])
if not spy.events():
assert spy.wait()
with excepthook_catch():
simulate.combobox_activate_item(cb.attr_color, "X1")
with excepthook_catch():
simulate.combobox_activate_item(cb.attr_size, "X1")
def test_nan_plot(self):
data = datasets.missing_data_1()
self.send_signal(self.widget.Inputs.data, data)
simulate.combobox_run_through_all(self.widget.controls.attr_color)
simulate.combobox_run_through_all(self.widget.controls.attr_size)
data.X[:, 0] = np.nan
data.Y[:] = np.nan
self.send_signal(self.widget.Inputs.data, data)
self.send_signal(self.widget.Inputs.data_subset, data[2:3])
simulate.combobox_run_through_all(self.widget.controls.attr_color)
simulate.combobox_run_through_all(self.widget.controls.attr_size)
def test_nan_plot(self):
data = datasets.missing_data_1()
self.send_signal(self.widget.Inputs.data, data)
simulate.combobox_run_through_all(self.widget.controls.attr_color)
simulate.combobox_run_through_all(self.widget.controls.attr_size)
data.X[:, 0] = np.nan
data.Y[:] = np.nan
self.send_signal(self.widget.Inputs.data, data)
self.send_signal(self.widget.Inputs.data_subset, data[2:3])
simulate.combobox_run_through_all(self.widget.controls.attr_color)
simulate.combobox_run_through_all(self.widget.controls.attr_size)
def test_nan_plot(self):
data = datasets.missing_data_1()
espy = EventSpy(self.widget, OWLinearProjection.ReplotRequest)
with excepthook_catch():
self.send_signal("Data", data)
# ensure delayed replot request is processed
if not espy.events():
assert espy.wait(1000)
cb_color = self.widget.controls.color_index
cb_size = self.widget.controls.size_index
cb_shape = self.widget.controls.shape_index
cb_jitter = self.widget.controls.jitter_value
simulate.combobox_run_through_all(cb_color)
simulate.combobox_run_through_all(cb_size)
simulate.combobox_run_through_all(cb_shape)
with excepthook_catch():
simulate.combobox_activate_index(cb_jitter, 1, delay=1)
data = data.copy()
data.X[:, 0] = np.nan
data.Y[:] = np.nan
spy = EventSpy(self.widget, OWLinearProjection.ReplotRequest)
self.send_signal("Data", data)
self.send_signal("Data Subset", data[2:3])
if not spy.events():
assert spy.wait()
with excepthook_catch():
simulate.combobox_activate_item(cb_color, "X1")
with excepthook_catch():
simulate.combobox_activate_item(cb_size, "X1")
with excepthook_catch():
simulate.combobox_activate_item(cb_shape, "D")
with excepthook_catch():
simulate.combobox_activate_index(cb_jitter, 2, delay=1)
def test_nan_plot(self):
def combobox_run_through_all():
cb = self.widget.controls
simulate.combobox_run_through_all(cb.attr_color)
# simulate.combobox_run_through_all(cb.attr_shape)
simulate.combobox_run_through_all(cb.attr_size)
# simulate.combobox_run_through_all(cb.attr_label)
data = datasets.missing_data_1()
self.send_signal(self.widget.Inputs.data, data, wait=1000)
combobox_run_through_all()
self.send_signal(self.widget.Inputs.data, None)
combobox_run_through_all()
data.X[:, 0] = np.nan
data.Y[:] = np.nan
data.metas[:, 1] = np.nan
self.send_signal(self.widget.Inputs.data, data, wait=1000)
combobox_run_through_all()
def test_nan_plot(self):
data = datasets.missing_data_1()
self.send_signal(self.widget.Inputs.data, data)
simulate.combobox_run_through_all(self.widget.cb_color_value)
simulate.combobox_run_through_all(self.widget.cb_color_value)
simulate.combobox_run_through_all(self.widget.cb_shape_value)
simulate.combobox_run_through_all(self.widget.cb_size_value)
simulate.combobox_run_through_all(self.widget.cb_label_value)
self.send_signal(self.widget.Inputs.data, None)
data.X[:, 0] = np.nan
data.Y[:] = np.nan
data.metas[:, 1] = np.nan
self.send_signal("Data", data)
simulate.combobox_run_through_all(self.widget.cb_color_value)
simulate.combobox_run_through_all(self.widget.cb_shape_value)
simulate.combobox_run_through_all(self.widget.cb_size_value)
simulate.combobox_run_through_all(self.widget.cb_label_value)
def test_nan_plot(self):
data = datasets.missing_data_1()
self.send_signal(self.widget.Inputs.data, data, wait=1000)
simulate.combobox_run_through_all(self.widget.cb_color_value)
simulate.combobox_run_through_all(self.widget.cb_color_value)
simulate.combobox_run_through_all(self.widget.cb_shape_value)
simulate.combobox_run_through_all(self.widget.cb_size_value)
simulate.combobox_run_through_all(self.widget.cb_label_value)
self.send_signal(self.widget.Inputs.data, None)
data.X[:, 0] = np.nan
data.Y[:] = np.nan
data.metas[:, 1] = np.nan
self.send_signal("Data", data, wait=1000)
simulate.combobox_run_through_all(self.widget.cb_color_value)
simulate.combobox_run_through_all(self.widget.cb_shape_value)
simulate.combobox_run_through_all(self.widget.cb_size_value)
simulate.combobox_run_through_all(self.widget.cb_label_value)
