def testScatterplot(self):
import numpy as np
import matplotlib.pyplot as plt
flow.ScatterplotView(xchannel="V2-A",
ychannel="Y2-A",
xscale="linear",
yscale="linear",
huefacet="Dox").plot(self.ex)
ax = plt.gca()
np.testing.assert_array_equal(
ax.get_xticks(),
np.array([-500., 0., 500., 1000., 1500., 2000., 2500., 3000.]),
)
np.testing.assert_array_equal(
ax.get_yticks(),
np.array([
-10000., 0., 10000., 20000., 30000., 40000., 50000., 60000.,
70000.
]),
)
flow.ScatterplotView(xchannel="V2-A",
ychannel="Y2-A",
xscale="log",
yscale="log",
huefacet="Dox").plot(self.ex)
ax = plt.gca()
np.testing.assert_array_equal(
ax.get_xticks(),
np.array([1.e-2, 1.e-1, 1., 1.e1, 1.e2, 1.e3, 1.e4, 1.e5]),
)
np.testing.assert_array_equal(
ax.get_yticks(),
np.array([1.e-2, 1.e-1, 1., 1.e1, 1.e2, 1.e3, 1.e4, 1.e+05, 1.e6]),
)
flow.ScatterplotView(xchannel="V2-A",
ychannel="Y2-A",
xscale="logicle",
yscale="logicle",
huefacet="Dox").plot(self.ex)
ax = plt.gca()
np.testing.assert_array_equal(
ax.get_xticks(),
np.array([-100., 0., 100., 1000.]),
)
np.testing.assert_array_equal(
ax.get_yticks(),
np.array([-100., 0., 100., 1000., 10000.]),
)
# try setting default scale and _not_ setting xscale, yscale
flow.set_default_scale("log")
self.assertEqual(flow.get_default_scale(), "log")
flow.ScatterplotView(xchannel="V2-A", ychannel="Y2-A",
huefacet="Dox").plot(self.ex)
ax = plt.gca()
np.testing.assert_array_equal(
ax.get_xticks(),
np.array([1.e-2, 1.e-1, 1., 1.e1, 1.e2, 1.e3, 1.e4, 1.e5]),
)
np.testing.assert_array_equal(
ax.get_yticks(),
np.array([1.e-2, 1.e-1, 1., 1.e1, 1.e2, 1.e3, 1.e4, 1.e+05, 1.e6]),
)
flow.set_default_scale("linear") # reset the default scale
def _default_scale_changed(self, new_scale):
cytoflow.set_default_scale(new_scale)
def _default_scale_changed(self, new_scale):
cytoflow.set_default_scale(new_scale)
def recv_main(self, parent_conn):
while parent_conn.poll(None):
try:
(msg, payload) = parent_conn.recv()
except EOFError:
return
logging.debug("RemoteWorkflow.recv_main :: {}".format(msg))
try:
if msg == Msg.NEW_WORKFLOW:
self.workflow = []
for new_item in payload:
wi = RemoteWorkflowItem()
wi.lock.acquire()
wi.matplotlib_events = self.matplotlib_events
wi.plot_lock = self.plot_lock
wi.copy_traits(new_item,
status=lambda t: t is not True)
self.workflow.append(wi)
# load the data from ImportOp. This should kick off
# the chain of handlers to apply the rest of the
# operations, too. manipulate exec_q directly so we
# don't run into timing issues; we want this to be run
# first.
if self.workflow[0] == wi:
self.exec_q.put((0, (wi, wi.apply)))
for wi in self.workflow:
wi.lock.release()
elif msg == Msg.ADD_ITEMS:
(idx, new_item) = payload
wi = RemoteWorkflowItem()
wi.copy_traits(new_item)
wi.matplotlib_events = self.matplotlib_events
wi.plot_lock = self.plot_lock
self.workflow.insert(idx, wi)
elif msg == Msg.REMOVE_ITEMS:
idx = payload
self.workflow.remove(self.workflow[idx])
elif msg == Msg.SELECT:
idx = payload
if idx == -1:
self.selected = None
else:
self.selected = self.workflow[idx]
elif msg == Msg.UPDATE_OP:
(idx, new_op, update_type) = payload
wi = self.workflow[idx]
with wi.lock:
wi.operation.copy_traits(
new_op,
status=lambda t: t is not True,
fixed=lambda t: t is not True)
wi.operation.changed = update_type
elif msg == Msg.UPDATE_VIEW:
(idx, new_view, update_type) = payload
view_id = new_view.id
wi = self.workflow[idx]
try:
view = next((x for x in wi.views if x.id == view_id))
except StopIteration:
logging.warn(
"RemoteWorkflow: Couldn't find view {}".format(
view_id))
continue
with wi.lock:
view.copy_traits(new_view,
status=lambda t: t is not True,
fixed=lambda t: t is not True)
view.changed = update_type
elif msg == Msg.CHANGE_CURRENT_VIEW:
(idx, view) = payload
wi = self.workflow[idx]
try:
wi.current_view = next(
(x for x in wi.views if x.id == view.id))
except StopIteration:
wi.views.append(view)
wi.current_view = view
wi.command = "plot"
elif msg == Msg.CHANGE_CURRENT_PLOT:
(idx, plot) = payload
wi = self.workflow[idx]
wi.current_plot = plot
elif msg == Msg.CHANGE_DEFAULT_SCALE:
new_scale = payload
cytoflow.set_default_scale(new_scale)
elif msg == Msg.ESTIMATE:
idx = payload
wi = self.workflow[idx]
wi.command = "estimate"
else:
raise RuntimeError("Bad command in the remote workflow")
except Exception:
log_exception()
def _default_scale_changed(self, new_scale):
logging.debug("LocalWorkflow._default_scale_changed :: {}".format(
(new_scale)))
cytoflow.set_default_scale(new_scale)
self.message_q.put((Msg.CHANGE_DEFAULT_SCALE, new_scale))
def recv_main(self):
while this.parent_conn.poll(None):
try:
(msg, payload) = this.parent_conn.recv()
except EOFError:
return
logging.debug("RemoteWorkflow.recv_main :: {}".format(msg))
if msg == Msg.NEW_WORKFLOW:
self.workflow = payload
elif msg == Msg.ADD_ITEMS:
(idx, new_item) = payload
self.workflow.insert(idx, new_item)
elif msg == Msg.REMOVE_ITEMS:
idx = payload
self.workflow.remove(self.workflow[idx])
elif msg == Msg.SELECT:
idx = payload
if idx == -1:
self.selected = None
else:
self.selected = self.workflow[idx]
elif msg == Msg.UPDATE_OP:
(idx, trait, new_value) = payload
wi = self.workflow[idx]
if wi.operation.trait_get(trait)[trait] != new_value:
self.updating_traits.add((wi.operation, trait))
wi.operation.trait_set(**{trait : new_value})
elif msg == Msg.CHANGE_CURRENT_VIEW:
(idx, view) = payload
wi = self.workflow[idx]
try:
wi.current_view = next((x for x in wi.views if x.id == view.id))
except StopIteration:
wi.views.append(view)
wi.current_view = view
if wi == self.selected:
self.plot(wi)
elif msg == Msg.CHANGE_CURRENT_PLOT:
(idx, plot) = payload
wi = self.workflow[idx]
wi.current_plot = plot
if wi == self.selected:
self.plot(wi)
elif msg == Msg.UPDATE_VIEW:
(idx, view_id, trait, new_value) = payload
wi = self.workflow[idx]
try:
view = next((x for x in wi.views if x.id == view_id))
except StopIteration:
logging.warn("RemoteWorkflow: Couldn't find view {}".format(view_id))
continue
if view.trait_get(trait)[trait] != new_value:
self.updating_traits.add((view, trait))
view.trait_set(**{trait : new_value})
elif msg == Msg.CHANGE_DEFAULT_SCALE:
new_scale = payload
cytoflow.set_default_scale(new_scale)
elif msg == Msg.ESTIMATE:
idx = payload
self.workflow[idx].estimate = True
elif msg == Msg.GET_LOG:
self.message_q.put((Msg.GET_LOG, guiutil.child_log.getvalue()))
else:
raise RuntimeError("Bad command in the remote workflow")
def _default_scale_changed(self, new_scale):
logging.debug("LocalWorkflow._default_scale_changed :: {}"
.format((new_scale)))
cytoflow.set_default_scale(new_scale)
self.message_q.put((Msg.CHANGE_DEFAULT_SCALE, new_scale))