Live plotting alternative to quantify

src/qibolab/calibration/live.py

@@ -0,0 +1,44 @@
+import dash
+from dash.dependencies import Output, Input
+from dash import dcc
+from dash import html
+import plotly.graph_objs as go
+import numpy as np
+from qibolab.paths import qibolab_folder
+
+# data = np.load("./buffer.npy")
+# X = data[0]
+# Y = data[1]
+# print(X)
+# print(Y)
+
+app = dash.Dash(__name__)
+
+def live_plotting(path):
+    #path = qibolab_folder / 'calibration' / 'data' / 'buffer.npy'
+    print(path)
+    app.layout = html.Div([dcc.Graph(id = 'live-graph', animate = True), dcc.Interval(id = 'graph-update', interval = 1000, n_intervals = 0),])
+    @app.callback(Output('live-graph', 'figure'), [Input('graph-update', 'n_intervals')])
+
+    def update_graph_scatter(n):
+        df = np.load(path)
+        X = df[0]
+        Y = df[1]
+
+        if len(df) == 2:
+            data = go.Scatter(x=X,y=Y,name='Scatter',mode= 'lines+markers')
+
+        elif len(df) == 3:
+            Z = df[2]
+            data = go.Heatmap(x=X,y=Y,z=Z,name='Scatter')
+
+        else:
+            raise ValueError("Not plottable")
+
+        return {'data': [data], 'layout' : go.Layout(xaxis=dict(range=[min(X),max(X)]),yaxis = dict(range = [min(Y),max(Y)]),)}
+
+def start_server(path):
+    live_plotting(path)
+    app.run_server()
+
+

src/qibolab/calibration/utils.py

@@ -2,10 +2,8 @@
 from qibolab.paths import qibolab_folder
 from quantify_core.measurement import MeasurementControl
 import numpy as np
-import yaml
 import matplotlib.pyplot as plt
 import pathlib
-import datetime
 
 script_folder = pathlib.Path(__file__).parent
 
@@ -88,6 +86,12 @@ def create_measurement_control(name, debug=True):
         return mc, None, None
     # TODO: be able to choose which windows are opened and remember their sizes and dimensions
 
+def start_live_plotting(path):
+    import threading
+    import qibolab.calibration.live as lp
+    dash = threading.Thread(target=lp.start_server, args=(path,))
+    dash.setDaemon(True)
+    dash.start()
 
 def classify(point: complex, mean_gnd, mean_exc):
         import math