Avoid num_of_peaks intermediate
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11e1a6b60c
@ -135,7 +135,7 @@ def create():
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append_upload_button.on_change("value", append_upload_button_callback)
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def _update_table():
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num_of_peaks = [scan.get("num_of_peaks", 0) for scan in det_data["scan"].values()]
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num_of_peaks = [len(scan.get("peak_indexes", [])) for scan in det_data["scan"].values()]
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fit_ok = [(1 if "fit" in scan else 0) for scan in det_data["scan"].values()]
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scan_table_source.data.update(peaks=num_of_peaks, fit=fit_ok)
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@ -148,7 +148,7 @@ def create():
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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 = scan.get("num_of_peaks")
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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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peak_indexes = scan["peak_indexes"]
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if len(peak_indexes) == 1:
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@ -288,7 +288,6 @@ def create():
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if new is not None and not peak_pos_textinput_lock:
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scan = _get_selected_scan()
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scan["num_of_peaks"] = 1
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peak_ind = (np.abs(scan["om"] - float(new))).argmin()
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scan["peak_indexes"] = np.array([peak_ind], dtype=np.int64)
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scan["peak_heights"] = np.array([scan["smooth_peaks"][peak_ind]])
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@ -29,11 +29,6 @@ def ccl_findpeaks(
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window_size - window size for savgol filter, must be odd positive integer
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poly_order = order of the polynomial used in savgol filter, must be positive integer smaller than
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window_size returns: dictionary with following structure:
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D{M34{ 'num_of_peaks': 1, #num of peaks
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'peak_indexes': [20], # index of peaks in omega array
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'peak_heights': [90.], # height of the peaks (if data vere smoothed
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its the heigh of the peaks in smoothed data)
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"""
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if not 0 <= int_threshold <= 1:
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int_threshold = 0.8
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@ -75,7 +70,6 @@ def ccl_findpeaks(
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peaks, properties = sc.signal.find_peaks(
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smooth_peaks, height=int_threshold * max(smooth_peaks), prominence=prominence
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)
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scan["num_of_peaks"] = len(peaks)
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scan["peak_indexes"] = peaks
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scan["peak_heights"] = properties["peak_heights"]
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scan["smooth_peaks"] = smooth_peaks # smoothed curve
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