def main():
args = get_argparser().parse_args()
common_args.init_logger_from_args(args)
loop = asyncio.get_event_loop()
try:
get_logs_task = asyncio.ensure_future(
get_logs_sim(args.core_addr) if args.
simulation else get_logs(args.core_addr))
try:
server = Server({"corelog": PingTarget()}, None, True)
loop.run_until_complete(
server.start(common_args.bind_address_from_args(args),
args.port))
try:
loop.run_until_complete(server.wait_terminate())
finally:
loop.run_until_complete(server.stop())
finally:
get_logs_task.cancel()
try:
loop.run_until_complete(get_logs_task)
except asyncio.CancelledError:
pass
finally:
loop.close()
def main():
args = get_argparser().parse_args()
common_args.init_logger_from_args(args)
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
signal_handler = SignalHandler()
signal_handler.setup()
try:
get_logs_task = asyncio.ensure_future(
get_logs_sim(args.core_addr) if args.simulation else get_logs(args.core_addr))
try:
server = Server({"corelog": PingTarget()}, None, True)
loop.run_until_complete(server.start(common_args.bind_address_from_args(args), args.port))
try:
_, pending = loop.run_until_complete(asyncio.wait(
[signal_handler.wait_terminate(),
server.wait_terminate(),
get_logs_task],
return_when=asyncio.FIRST_COMPLETED))
for task in pending:
task.cancel()
finally:
loop.run_until_complete(server.stop())
finally:
pass
finally:
signal_handler.teardown()
finally:
loop.close()
def main():
args = get_argparser().parse_args()
common_args.init_logger_from_args(args)
bind_address = common_args.bind_address_from_args(args)
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
signal_handler = SignalHandler()
signal_handler.setup()
try:
monitor_mux = MonitorMux()
comm_moninj = CommMonInj(monitor_mux.monitor_cb,
monitor_mux.injection_status_cb,
monitor_mux.disconnect_cb)
monitor_mux.comm_moninj = comm_moninj
loop.run_until_complete(comm_moninj.connect(args.core_addr))
try:
proxy_server = ProxyServer(monitor_mux)
loop.run_until_complete(proxy_server.start(bind_address, args.port_proxy))
try:
server = Server({"moninj_proxy": PingTarget()}, None, True)
loop.run_until_complete(server.start(bind_address, args.port_control))
try:
_, pending = loop.run_until_complete(asyncio.wait(
[signal_handler.wait_terminate(),
server.wait_terminate(),
comm_moninj.wait_terminate()],
return_when=asyncio.FIRST_COMPLETED))
for task in pending:
task.cancel()
finally:
loop.run_until_complete(server.stop())
finally:
loop.run_until_complete(proxy_server.stop())
finally:
loop.run_until_complete(comm_moninj.close())
finally:
signal_handler.teardown()
finally:
loop.close()
class PMTReadoutDock(QtWidgets.QDockWidget):
def __init__(self, acxn):
QtWidgets.QDockWidget.__init__(self, "PMT Readout")
self.acxn = acxn
self.cxn = None
self.p = None
try:
self.cxn = labrad.connect()
self.p = self.cxn.parametervault
except:
logger.error("Failed to initially connect to labrad.",
exc_info=True)
self.setDisabled(True)
self.current_line = 0
self.number_lines = 0
self.hist = None
self.setObjectName("PMTReadoutHistogram")
self.setFeatures(QtWidgets.QDockWidget.DockWidgetMovable
| QtWidgets.QDockWidget.DockWidgetFloatable)
self.main_widget = QtWidgets.QWidget()
self.setWidget(self.main_widget)
self.make_GUI()
self.connect_GUI()
self.connect_asyncio_server()
def save_state(self):
pass
def restore_state(self):
pass
def connect_asyncio_server(self):
self.loop = asyncio.get_event_loop()
self.asyncio_server = Server(
{"pmt_histogram": self.RemotePlotting(self)}, None, True)
self.task = self.loop.create_task(
self.asyncio_server.start("::1", 3287))
class RemotePlotting:
def __init__(self, hist):
self.hist = hist
def plot(self, data):
if self.hist.hist is not None:
for bar in self.hist.hist:
try:
bar.remove()
except ValueError as e:
continue
_, _, self.hist.hist = self.hist.ax.hist(data,
bins=35,
histtype="bar",
rwidth=1,
edgecolor="k",
linewidth=1.2)
self.hist.canvas.draw()
self.hist.ax.autoscale(enable=True, axis="both")
self.hist.ax.set_xlim(left=0)
self.hist.ax.relim()
def closeEvent(self, event):
self.task.cancel()
self.loop.create_task(self.asyncio_server.stop())
super(PMTReadoutDock, self).closeEvent(event)
def make_GUI(self):
layout = QtWidgets.QGridLayout()
self.fig = Figure()
self.fig.patch.set_facecolor((.97, .96, .96))
self.canvas = FigureCanvasQTAgg(self.fig)
self.canvas.setParent(self)
self.ax = self.fig.add_subplot(111)
self.ax.set_ylim((0, 50))
self.ax.set_xlim((0, 100))
self.ax.set_facecolor((.97, .96, .96))
self.ax.tick_params(top=False,
bottom=False,
left=False,
right=False,
labeltop=True,
labelbottom=True,
labelleft=True,
labelright=True)
self.mpl_toolbar = NavigationToolbar2QT(self.canvas, self)
self.fig.tight_layout()
self.canvas.setSizePolicy(QtWidgets.QSizePolicy.Expanding,
QtWidgets.QSizePolicy.Expanding)
self.ax.tick_params(axis="both", direction="in")
self.n_thresholds = None
self.curr_threshold = None
if self.p:
lines = self.p.get_parameter(["StateReadout", "threshold_list"])
slines = sorted(lines)
if not list(slines) == list(lines):
self.p.set_parameter(
["StateReadout", "threshold_list", slines])
lines = slines
self.number_lines = len(lines)
self.lines = [
self.ax.axvline(line, lw=3, color="r") for line in lines
]
self.n_thresholds = QtWidgets.QSpinBox()
self.n_thresholds.setValue(len(lines))
self.n_thresholds.setMinimum(1)
self.n_thresholds.setMaximum(10)
self.curr_threshold = QtWidgets.QSpinBox()
self.curr_threshold.setValue(1)
self.curr_threshold.setMinimum(1)
self.curr_threshold.setMaximum(len(lines))
layout.addWidget(self.mpl_toolbar, 0, 0)
layout.addWidget(QtWidgets.QLabel("no. thresholds: "), 0, 1)
layout.addWidget(self.n_thresholds, 0, 2)
layout.addWidget(QtWidgets.QLabel("select threshold: "), 0, 3)
layout.addWidget(self.curr_threshold, 0, 4)
layout.addWidget(self.canvas, 1, 0, 1, 5)
self.main_widget.setLayout(layout)
if self.cxn:
self.cxn.disconnect()
def connect_GUI(self):
self.canvas.mpl_connect("button_press_event", self.on_click)
if self.n_thresholds:
self.n_thresholds.valueChanged.connect(self.n_thresholds_changed)
if self.curr_threshold:
self.curr_threshold.valueChanged.connect(
self.curr_threshold_changed)
@inlineCallbacks
def n_thresholds_changed(self, val):
p = yield self.acxn.get_server("ParameterVault")
self.curr_threshold.setMaximum(int(val))
diff = val - self.number_lines
self.number_lines = val
if diff < 0:
for _ in range(abs(diff)):
l = self.lines.pop()
l.remove()
del l
self.canvas.draw()
tlist = yield p.get_parameter(["StateReadout", "threshold_list"])
tlist = tlist[:diff]
yield p.set_parameter(["StateReadout", "threshold_list", tlist])
if diff > 0:
for _ in range(diff):
tlist = yield p.get_parameter(
["StateReadout", "threshold_list"])
maxt = max(tlist)
tlist = np.append(tlist, maxt + 2)
self.lines.append(self.ax.axvline(maxt + 2, lw=3, color="r"))
yield p.set_parameter(
["StateReadout", "threshold_list", tlist])
self.canvas.draw()
def curr_threshold_changed(self, val):
self.current_line = int(val) - 1
@inlineCallbacks
def on_click(self, event):
p = yield self.acxn.get_server("ParameterVault")
if type(event.button) == int and not event.xdata is None:
xval = int(round(event.xdata))
idx = self.current_line
tlist = yield p.get_parameter(["StateReadout", "threshold_list"])
tlist = tlist
tlist[idx] = xval
if idx > 0:
if tlist[idx - 1] >= tlist[idx]:
return
if idx < len(tlist) - 1:
if tlist[idx] >= tlist[idx + 1]:
return
yield p.set_parameter(["StateReadout", "threshold_list", tlist])
class PulseSequenceVisualizer(QtWidgets.QDockWidget):
def __init__(self):
QtWidgets.QDockWidget.__init__(self, "Pulse Sequence")
self.setObjectName("PulseSequenceDock")
self.setFeatures(QtWidgets.QDockWidget.NoDockWidgetFeatures)
# Initialize
self.last_seq_data = None
self.last_plot = None
self.subscribed = False
self.current_box = None
self.mpl_connection = None
self.main_widget = QtWidgets.QWidget()
self.setWidget(self.main_widget)
self.create_layout()
self.connect_asyncio_server()
def connect_asyncio_server(self):
self.loop = asyncio.get_event_loop()
self.asyncio_server = Server(
{
"pulse_sequence_visualizer":
PulseSequenceVisualizerServer(self),
"simulation_logger": simulation_logger
}, None, True)
self.task = self.loop.create_task(
self.asyncio_server.start("::1", 3289))
def create_layout(self):
# Creates GUI layout
layout = QtGui.QVBoxLayout()
plot_layout = self.create_plot_layout()
layout.addLayout(plot_layout)
self.main_widget.setLayout(layout)
def create_plot_layout(self):
# Creates empty matplotlib plot layout
layout = QtGui.QVBoxLayout()
self.fig = Figure()
self.canvas = FigureCanvas(self.fig)
self.canvas.setParent(self)
self.axes = self.fig.add_subplot(111)
self.axes.legend(loc='best')
self.mpl_toolbar = NavigationToolbar(self.canvas, self)
self.axes.set_title('Most Recent Pulse Sequence', fontsize=22)
self.axes.set_xlabel('Time (ms)')
self.fig.tight_layout()
# Create an empty an invisible annotation, which will be moved around and set to visible later when needed
self.annot = self.axes.annotate("",
xy=(0, 0),
xytext=(-0.5, 0.5),
textcoords="offset points",
bbox=dict(boxstyle="round", fc="w"),
horizontalalignment='center',
multialignment='left',
verticalalignment='center')
self.annot.get_bbox_patch().set_alpha(0.8)
self.annot.set_visible(False)
# Add the canvas to the GUI widget.
layout.addWidget(self.mpl_toolbar)
layout.addWidget(self.canvas)
return layout
def on_new_seq(self, dds, ttl, channels, signal_time):
# Temporary stop tracking mouse movement
if self.mpl_connection:
self.canvas.mpl_disconnect(self.mpl_connection)
self.last_seq_data = {'DDS': dds, 'TTL': ttl, 'channels': channels}
# Create SequenceAnalyzer object instance
self.sequence = SequenceAnalyzer(ttl, dds, channels)
# Clear the plot of all drawn objects
self.clear_plot()
# Call the SequenceAnalyzer object's create_full_plot method to draw the plot on the GUI's axes.
self.sequence.create_full_plot(self.axes)
self.axes.set_title('Most Recent Pulse Sequence, ' +
time.strftime('%Y-%m-%d %H:%M:%S', signal_time))
# Draw and reconnect to mouse hover events
self.canvas.draw_idle()
self.mpl_connection = self.canvas.mpl_connect("motion_notify_event",
self.hover)
def clear_plot(self):
# Remove all lines, boxes, and annotations, except for the hover annotation
for child in self.axes.get_children():
if isinstance(child,
(matplotlib.lines.Line2D, matplotlib.text.Annotation,
matplotlib.collections.PolyCollection)):
if child is not self.annot:
child.remove()
def format_starttime(self, t):
# Function for formatting times in the hover annotation
if round(1e6 * t) < 1000:
return '{:.1f} $\mu$s'.format(1e6 * t)
else:
return '{:.3f} ms'.format(1e3 * t)
def format_duration(self, t):
# Function for formatting times in the hover annotation
if round(1e6 * t) < 1000:
return '%#.4g $\mu$s' % (1e6 * t)
else:
return '%#.4g ms' % (1e3 * t)
def update_annot(self, dds_box):
# This function updates the text of the hover annotation.
drawx = 1e3 * (dds_box.starttime() + dds_box.duration() / 2.0)
drawy = dds_box.offset + dds_box.scale / 2.0
self.annot.xy = (drawx, drawy)
text = '{0}\nStart: {1}\nDuration: {2}\n{3:.4f} MHz\n{4:.2f} amp w/att'.format(
dds_box.channel, self.format_starttime(dds_box.starttime()),
self.format_duration(dds_box.duration()), dds_box.frequency(),
dds_box.amplitude())
self.annot.set_text(text)
def hover(self, event):
# This function is called when the mouse moves
# It updates the hover annotation if necessary.
(self.last_mouse_x, self.last_mouse_y) = (event.x, event.y)
vis = self.annot.get_visible()
if event.inaxes == self.axes:
for dds_box in self.sequence.dds_boxes:
if dds_box.box.contains(event)[0]:
if dds_box is not self.current_box:
self.current_box = dds_box
self.update_annot(dds_box)
self.annot.set_visible(True)
self.canvas.draw_idle()
break
else:
self.current_box = None
if vis:
self.annot.set_visible(False)
self.canvas.draw_idle()
else:
self.current_box = None
def closeEvent(self, event):
self.loop.create_task(self.asyncio_server.stop())
super(PulseSequenceVisualizer, self).closeEvent(event)
def main(extra_args=None):
logging.getLogger(name).info("Launching controller %s", name)
def get_argparser():
parser = argparse.ArgumentParser(
description="Generic controller for {}".format(name))
group = parser.add_argument_group(name)
group.add_argument(
"--id",
required=True,
type=str,
help=
"VISA id to connect to. This Controller will obtain an exclusive lock.",
)
group.add_argument(
"--simulation",
action="store_true",
help=
"Run this controller in simulation mode. ID will be ignored but is still required.",
)
common_args.simple_network_args(parser, default_port)
common_args.verbosity_args(parser)
return parser
args = get_argparser().parse_args(extra_args)
common_args.init_logger_from_args(args)
driver_obj = driver_class(None,
id=args.id,
simulation=args.simulation,
**driver_kwargs)
loop = asyncio.get_event_loop()
# Start an ARTIQ server for this device.
#
# Allow parallel connections so that functions which don't touch the
# serial device can be done simultaneously: functions which do are
# protected by @with_lock.
server = Server(
{name: driver_obj},
description="An automatically generated server for {}".format(
driver_class.__name__),
builtin_terminate=True,
allow_parallel=True,
)
loop.run_until_complete(
server.start(
host=common_args.bind_address_from_args(args),
port=args.port,
))
try:
loop.run_until_complete(server.wait_terminate())
finally:
try:
loop.run_until_complete(server.stop())
finally:
# Close the VISA connection after the server has shutdown
driver_obj.close()
loop.close()
class CameraReadoutDock(QtWidgets.QDockWidget):
def __init__(self, acxn):
QtWidgets.QDockWidget.__init__(self, "Camera Readout")
self.acxn = acxn
self.setObjectName("CameraReadoutHistogram")
self.setFeatures(QtWidgets.QDockWidget.DockWidgetMovable
| QtWidgets.QDockWidget.DockWidgetFloatable)
self.image = None
self.image_region = None
self.run_time = None
self.main_widget = QtWidgets.QWidget()
self.setWidget(self.main_widget)
self.make_GUI()
self.connect_GUI()
self.connect_asyncio_server()
def connect_asyncio_server(self):
self.loop = asyncio.get_event_loop()
self.asyncio_server = Server(
{"camera_reference_image": self.RemotePlotting(self)}, None, True)
self.task = self.loop.create_task(
self.asyncio_server.start("::1", 3288))
class RemotePlotting:
def __init__(self, plt):
self.plt = plt
def plot(self, image, image_region, run_time=None):
self.plt.image = image
self.plt.image_region = image_region
if run_time is None:
self.run_time = dt.now().strftime("%Y%m%d_%H%M.%S")
try:
cxn = labrad.connect()
p = cxn.parametervault
except:
logger.error("Couldn't connect to parametervault",
exc_info=True)
N = int(p.get_parameter("IonsOnCamera", "ion_number"))
x_axis = np.arange(image_region[2], image_region[3] + 1,
image_region[0])
y_axis = np.arange(image_region[4], image_region[5] + 1,
image_region[1])
xx, yy = np.meshgrid(x_axis, y_axis)
fitter = ion_state_detector(N)
result, params = fitter.guess_parameters_and_fit(xx, yy, image)
p.set_parameter("IonsOnCamera", "fit_background_level",
params["background_level"].value)
p.set_parameter("IonsOnCamera", "fit_amplitude",
params["amplitude"].value)
p.set_parameter("IonsOnCamera", "fit_rotation_angle",
params["rotation_angle"].value)
p.set_parameter("IonsOnCamera", "fit_center_horizontal",
params["center_x"].value)
p.set_parameter("IonsOnCamera", "fit_center_vertical",
params["center_y"].value)
p.set_parameter("IonsOnCamera", "fit_spacing",
params["spacing"].value)
p.set_parameter("IonsOnCamera", "fit_sigma", params["sigma"].value)
self.plt.ax.clear()
with suppress(Exception):
self.plt.cb.remove()
I = self.plt.ax.imshow(image,
cmap="cividis",
interpolation="spline16",
extent=[
x_axis.min(),
x_axis.max(),
y_axis.max(),
y_axis.min()
])
self.plt.cb = self.plt.fig.colorbar(I, fraction=0.046, pad=0.04)
x_axis_fit = np.linspace(x_axis.min(), x_axis.max(),
x_axis.size * 10)
y_axis_fit = np.linspace(y_axis.min(), y_axis.max(),
y_axis.size * 10)
xx, yy = np.meshgrid(x_axis_fit, y_axis_fit)
fit = fitter.ion_model(params, xx, yy)
self.plt.ax.contour(x_axis_fit,
y_axis_fit,
fit,
3,
colors=[(1., .49, 0., .75)])
if result is not None:
# print(lmfit.fit_report(result, show_correl=False))
results_text = lmfit.fit_report(result, show_correl=False)
param_results = results_text.split("\n")[-7:]
for i, param_result in enumerate(param_results):
param_result = param_result.split("(")[0]
param_result = param_result.replace(" +/- ", "(")[:-1]
param_result = param_result.split(".")
param_result1 = param_result[1].split("(")
param_result[1] = param_result1[0][:3] + "("
try:
param_result[2] = param_result[2][:3]
except IndexError:
pass
param_result = ".".join(param_result)
param_result += ")"
param_results[i] = param_result
results_text = "\n".join(param_results)
results_text += "\n chi_red = {:.2f}".format(result.redchi)
results_text += "\n runtime = " + str(self.run_time)
self.plt.ax.annotate(results_text, (0.5, 0.75),
xycoords="axes fraction",
color=(1., .49, 0., 1.))
self.plt.canvas.draw()
self.plt.ax.relim()
self.plt.ax.autoscale(enable=True, axis="both")
cxn.disconnect()
def enable_button(self):
self.plt.reference_image_button.setDisabled(False)
def closeEvent(self, event):
self.task.cancel()
self.loop.create_task(self.asyncio_server.stop())
super(CameraReadoutDock, self).closeEvent(event)
def make_GUI(self):
layout = QtWidgets.QGridLayout()
self.fig = Figure(figsize=(10, 10), tight_layout=True)
self.fig.patch.set_facecolor((.97, .96, .96))
self.canvas = FigureCanvasQTAgg(self.fig)
self.canvas.setParent(self)
# self.canvas.setMinimumSize(800, 800)
self.ax = self.fig.add_subplot(111)
self.ax.set_facecolor((.97, .96, .96))
self.ax.tick_params(top=False,
bottom=False,
left=False,
right=False,
labeltop=True,
labelbottom=True,
labelleft=True,
labelright=False)
self.mpl_toolbar = NavigationToolbar2QT(self.canvas, self)
self.canvas.setSizePolicy(QtWidgets.QSizePolicy.Expanding,
QtWidgets.QSizePolicy.Expanding)
self.ax.tick_params(axis="both", direction="in")
self.reference_image_button = QtWidgets.QPushButton("reference image")
try:
cxn = labrad.connect()
p = cxn.parametervault
except:
pass
accessed_params = set()
parameters = p.get_parameter_names("IonsOnCamera")
for parameter in parameters:
accessed_params.update({"IonsOnCamera." + parameter})
d_accessed_parameter_editor = ParameterEditorDock(
acxn=None, name="Camera Options", accessed_params=accessed_params)
d_accessed_parameter_editor.setFeatures(
QtGui.QDockWidget.NoDockWidgetFeatures)
d_accessed_parameter_editor.setTitleBarWidget(QtGui.QWidget())
d_accessed_parameter_editor.table.setMaximumWidth(390)
layout.addWidget(self.mpl_toolbar, 0, 0, 1, 1)
layout.addWidget(self.reference_image_button, 0, 2, 1, 1)
layout.addWidget(d_accessed_parameter_editor, 1, 0, 1, 1)
layout.addWidget(self.canvas, 1, 1, 1, 2)
self.main_widget.setLayout(layout)
def connect_GUI(self):
self.scheduler = Client("::1", 3251, "master_schedule")
self.reference_image_button.clicked.connect(self.get_reference_image)
def get_reference_image(self):
self.reference_image_button.setDisabled(True)
expid = {
"arguments": {},
"class_name": "ReferenceImage",
"file": "misc/reference_image.py",
"log_level": 30,
"repo_rev": None,
"priority": 2
}
self.scheduler.submit("main", expid, 2)
def save_state(self):
return {
"image": self.image,
"image_region": self.image_region,
"run_time": self.run_time
}
def restore_state(self, state):
if state["image"] is not None and state["image_region"] is not None:
r = self.RemotePlotting(self)
r.plot(state["image"],
state["image_region"],
run_time=state["run_time"])
class rcgDock(QDockWidgetCloseDetect):
def __init__(self, main_window):
QDockWidgetCloseDetect.__init__(self, "Real Complicated Grapher")
self.setObjectName("RCG")
self.main_window = main_window
self.is_closed = False
self.main_window.addDockWidget(QtCore.Qt.TopDockWidgetArea, self)
self.setFeatures(QtWidgets.QDockWidget.DockWidgetMovable)
self.setFloating(True)
self.rcg = RCG()
self.setWidget(self.rcg)
self.setTitleBarWidget(QtWidgets.QMainWindow())
self.top_level_changed()
self.connect_server()
def top_level_changed(self):
if self.isFloating():
self.setWindowFlags(QtCore.Qt.CustomizeWindowHint
| QtCore.Qt.Window
| QtCore.Qt.WindowMinimizeButtonHint
| QtCore.Qt.WindowMaximizeButtonHint
| QtCore.Qt.WindowCloseButtonHint)
def connect_server(self):
self.loop = asyncio.get_event_loop()
self.server = Server({"rcg": self.RemotePlotting(self.rcg)}, None,
True)
self.task = self.loop.create_task(
self.server.start(conf.host, conf.port))
def closeEvent(self, event):
self.is_closed = True
self.task.cancel()
self.loop.create_task(self.server.stop())
super(rcgDock, self).closeEvent(event)
class RemotePlotting:
def __init__(self, rcg):
self.rcg = rcg
def echo(self, mssg):
return mssg
def get_tab_index_from_name(self, name):
return self.rcg.tabs[name]
def plot(self,
x,
y,
tab_name="Current",
plot_name=None,
plot_title="new_plot",
append=False,
file_=None,
range_guess=None):
if plot_name is None:
# need to clean this up
for tab, graph_configs in conf.tab_configs:
for gc in graph_configs:
if gc.name == tab_name:
plot_name = tab_name
tab_name = tab
break
idx = self.rcg.tabs[tab_name]
if type(x) is np.ndarray:
x = x[~np.isnan(x)]
if type(y) is np.ndarray:
y = y[~np.isnan(y)]
if (plot_title
in self.rcg.widget(idx).gw_dict[plot_name].items.keys()
and not append):
i = 1
while True:
try_plot_title = plot_title + str(i)
if try_plot_title not in self.rcg.widget(
idx).gw_dict[plot_name].items.keys():
plot_title = try_plot_title
break
else:
i += 1
try:
self.rcg.widget(idx).gw_dict[plot_name].add_plot_item(
plot_title,
x,
y,
append=append,
file_=file_,
range_guess=range_guess)
except AttributeError:
# curve not currently displayed on graph
return
def plot_from_file(self, file_, tab_name="Current", plot_name=None):
if plot_name is None:
plot_name = tab_name
idx = self.rcg.tabs[tab_name]
self.rcg.widget(idx).gw_dict[plot_name].upload_curve(file_=file_)
