Support other than omega scanning variables
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@ -186,20 +186,23 @@ def create():
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nonlocal peak_pos_textinput_lock
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nonlocal peak_pos_textinput_lock
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peak_pos_textinput_lock = True
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peak_pos_textinput_lock = True
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y = scan["Counts"]
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scan_motor = scan["scan_motor"]
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x = scan["omega"]
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y = scan["Counts"]
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x = scan[scan_motor]
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plot.axis[0].axis_label = scan_motor
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plot_scatter_source.data.update(x=x, y=y, y_upper=y + np.sqrt(y), y_lower=y - np.sqrt(y))
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plot_scatter_source.data.update(x=x, y=y, y_upper=y + np.sqrt(y), y_lower=y - np.sqrt(y))
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num_of_peaks = len(scan.get("peak_indexes", []))
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num_of_peaks = len(scan.get("peak_indexes", []))
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if num_of_peaks is not None and num_of_peaks > 0:
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if num_of_peaks is not None and num_of_peaks > 0:
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peak_indexes = scan["peak_indexes"]
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peak_indexes = scan["peak_indexes"]
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if len(peak_indexes) == 1:
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if len(peak_indexes) == 1:
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peak_pos_textinput.value = str(scan["omega"][peak_indexes[0]])
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peak_pos_textinput.value = str(scan[scan_motor][peak_indexes[0]])
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else:
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else:
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peak_pos_textinput.value = str([scan["omega"][ind] for ind in peak_indexes])
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peak_pos_textinput.value = str([scan[scan_motor][ind] for ind in peak_indexes])
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plot_peak_source.data.update(x=scan["omega"][peak_indexes], y=scan["peak_heights"])
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plot_peak_source.data.update(x=scan[scan_motor][peak_indexes], y=scan["peak_heights"])
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plot_line_smooth_source.data.update(x=x, y=scan["smooth_peaks"])
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plot_line_smooth_source.data.update(x=x, y=scan["smooth_peaks"])
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else:
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else:
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peak_pos_textinput.value = None
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peak_pos_textinput.value = None
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@ -255,7 +258,7 @@ def create():
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plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=470, plot_width=700)
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plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=470, plot_width=700)
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plot.add_layout(LinearAxis(axis_label="Counts"), place="left")
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plot.add_layout(LinearAxis(axis_label="Counts"), place="left")
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plot.add_layout(LinearAxis(axis_label="Omega"), place="below")
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plot.add_layout(LinearAxis(axis_label="Scan motor"), place="below")
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plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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@ -201,9 +201,12 @@ def create():
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nonlocal peak_pos_textinput_lock
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nonlocal peak_pos_textinput_lock
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peak_pos_textinput_lock = True
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peak_pos_textinput_lock = True
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y = scan["Counts"]
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scan_motor = scan["scan_motor"]
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x = scan["omega"]
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y = scan["Counts"]
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x = scan[scan_motor]
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plot.axis[0].axis_label = scan_motor
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plot_scatter_source.data.update(x=x, y=y, y_upper=y + np.sqrt(y), y_lower=y - np.sqrt(y))
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plot_scatter_source.data.update(x=x, y=y, y_upper=y + np.sqrt(y), y_lower=y - np.sqrt(y))
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num_of_peaks = len(scan.get("peak_indexes", []))
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num_of_peaks = len(scan.get("peak_indexes", []))
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@ -275,12 +278,19 @@ def create():
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par = []
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par = []
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for s, p in enumerate(scan_table_source.data["param"]):
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for s, p in enumerate(scan_table_source.data["param"]):
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if p:
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if p:
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xs.append(np.array(det_data[s]["omega"]))
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scan = det_data[s]
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x.extend(det_data[s]["omega"])
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scan_motor = scan["scan_motor"]
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ys.append(np.array(det_data[s]["Counts"]))
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xs.append(scan[scan_motor])
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y.extend([float(p)] * len(det_data[s]["omega"]))
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x.extend(scan[scan_motor])
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ys.append(scan["Counts"])
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y.extend([float(p)] * len(scan[scan_motor]))
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param.append(float(p))
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param.append(float(p))
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par.extend(det_data[s]["Counts"])
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par.extend(scan["Counts"])
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if det_data:
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scan_motor = det_data[0]["scan_motor"]
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ov_plot.axis[0].axis_label = scan_motor
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ov_param_plot.axis[0].axis_label = scan_motor
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ov_plot_mline_source.data.update(xs=xs, ys=ys, param=param, color=color_palette(len(xs)))
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ov_plot_mline_source.data.update(xs=xs, ys=ys, param=param, color=color_palette(len(xs)))
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ov_param_plot_scatter_source.data.update(x=x, y=y, param=par)
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ov_param_plot_scatter_source.data.update(x=x, y=y, param=par)
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@ -289,7 +299,7 @@ def create():
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plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=450, plot_width=700)
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plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=450, plot_width=700)
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plot.add_layout(LinearAxis(axis_label="Counts"), place="left")
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plot.add_layout(LinearAxis(axis_label="Counts"), place="left")
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plot.add_layout(LinearAxis(axis_label="Omega"), place="below")
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plot.add_layout(LinearAxis(axis_label="Scan motor"), place="below")
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plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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@ -329,7 +339,7 @@ def create():
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ov_plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=400, plot_width=700)
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ov_plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=400, plot_width=700)
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ov_plot.add_layout(LinearAxis(axis_label="Counts"), place="left")
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ov_plot.add_layout(LinearAxis(axis_label="Counts"), place="left")
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ov_plot.add_layout(LinearAxis(axis_label="Omega"), place="below")
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ov_plot.add_layout(LinearAxis(axis_label="Scan motor"), place="below")
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ov_plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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ov_plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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ov_plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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ov_plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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@ -346,7 +356,7 @@ def create():
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)
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)
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ov_param_plot.add_layout(LinearAxis(axis_label="Param"), place="left")
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ov_param_plot.add_layout(LinearAxis(axis_label="Param"), place="left")
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ov_param_plot.add_layout(LinearAxis(axis_label="Omega"), place="below")
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ov_param_plot.add_layout(LinearAxis(axis_label="Scan motor"), place="below")
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ov_param_plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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ov_param_plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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ov_param_plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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ov_param_plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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@ -208,6 +208,15 @@ def parse_1D(fileobj, data_type):
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s["omega"] = s["om"]
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s["omega"] = s["om"]
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del s["om"]
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del s["om"]
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# "tt" -> "temp"
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elif s["scan_motor"] == "tt":
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s["scan_motor"] = "temp"
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s["temp"] = s["tt"]
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del s["tt"]
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# "mf" stays "mf"
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# "phi" stays "phi"
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s["h"] = s["k"] = s["l"] = float("nan")
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s["h"] = s["k"] = s["l"] = float("nan")
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for param in ("mf", "temp"):
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for param in ("mf", "temp"):
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