Finalise Graphing please?
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@ -2,7 +2,7 @@
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# Cal Wing - Oct 24
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# Cal Wing - Oct 24
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long_name: "Shot 7 (x2s5829) - Thin Probe Set (ST1, ST2 & ST3) - 2024-10-18\nProtruding ST1 & ST1, Flush ST3 (Only Gauge 1) - Low Pressure, 'Pure' Air Conditions"
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long_name: "Shot 7 (x2s5829) - Thin Probe Set (ST1, ST2 & ST3) - 2024-10-18\nProtruding ST1 & ST1, Flush ST3 (Only Gauge 1) - Low Pressure, 'Pure' Air Conditions"
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name: "Shot 6"
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name: "Shot 7"
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date: "2024-10-18"
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date: "2024-10-18"
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time: "15:58"
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time: "15:58"
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@ -28,11 +28,14 @@ canny-args:
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post_pres: 0.05
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post_pres: 0.05
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x2-canny:
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x2-canny:
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- sigma: 1
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- sigma: 2
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post_pres: 0.02
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post_pres: 0.03
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- sigma: 0.5
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- sigma: 1
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post_pres: 0.02
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post_pres: 0.2
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- sigma: 1
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post_pres: 0.05
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no-graph:
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no-graph:
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- "None"
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- "None"
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99
main.py
99
main.py
@ -184,13 +184,13 @@ def load_data(data_path: str, data={}) -> dict:
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for ch in dataInfo["probe-info"]["data-records"][data_locs.index("x2")]["channels"]:
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for ch in dataInfo["probe-info"]["data-records"][data_locs.index("x2")]["channels"]:
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if ch in dataInfo["probe-info"]["data-records"][data_locs.index("x2")]["scaler"]:
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if ch in dataInfo["probe-info"]["data-records"][data_locs.index("x2")]["scaler"]:
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# Get the channel index from its name
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# Get the channel index from its name
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chIndex = x2_channel_names.index(channel)
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chIndex = x2_channel_names.index(ch)
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# Calculate the average noise offset
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# Calculate the average noise offset
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avg_noise = x2_channels[chIndex][0:SAMPLES_TO_AVG].mean()
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avg_noise = x2_channels[chIndex][0:SAMPLES_TO_AVG].mean()
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# Save the channel data
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# Save the channel data
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data[x2_shot]["data"]["x2"][channel] = (x2_channels[chIndex][:] - avg_noise) * dataInfo["probe-info"]["data-records"][data_locs.index("x2")]["scaler"][ch]
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data[x2_shot]["data"]["x2"][ch] = (x2_channels[chIndex][:] - avg_noise) * dataInfo["probe-info"]["data-records"][data_locs.index("x2")]["scaler"][ch]
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#[TODO] This could be better
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#[TODO] This could be better
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#if "x2" in data_locs:
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#if "x2" in data_locs:
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@ -986,6 +986,91 @@ def genComboDataGraph(data: dict, showPlot: bool = False, doShockLabels:bool = F
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makeGraph(graphData, doProgramBlock=False, showPlot=showPlot, figSavePath=f"./images/combo-my-data.png")
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makeGraph(graphData, doProgramBlock=False, showPlot=showPlot, figSavePath=f"./images/combo-my-data.png")
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def genX2CompGraphs(gData: dict, showPlot: bool = True):
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graphData = {
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"title": f"Signal Comparison for {gData['info']['name']} ({gData['info']['shot-info']['name']})",
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"xLabel": "Time ($\\mu$s)",
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"yLabel": "Voltage Reading (V)",
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"grid": True,
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"figSize": (16, 6.8), #(9, 6.8), #(8,6.5),
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"ledgLoc": 'upper left',
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"yLim": (-1.5, 11),
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"plots": []
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}
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lims = []
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for label, d in [("1 [V]", "Gauge 1 - Scope"),("2 [V]", "Gauge 2 - Scope")]: #, ("4 [V]", "Gauge Trigger")]:
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graphData["plots"].append({
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"x": gData["time"]["scope"],
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"y": gData["data"]["scope"][label],
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"label": d,
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"args":{"zorder":1}
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})
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for label, d in [("st1", "Gauge 1 - X2 DAQ"),("st3", "Gauge 2 - X2 DAQ")]: #, ("4 [V]", "Gauge Trigger")]:
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graphData["plots"].append({
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"x": gData["time"]["x2"],
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"y": gData["data"]["x2"][label],
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"label": d,
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"args":{"zorder":1}
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})
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for _, probe in enumerate(gData["info"]["probe-info"]["locations"]):
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if f"{probe}-g1" in gData["shock-point"]:
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graphData["plots"].append({
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"type": "axvLine",
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"x": gData["shock-point"][f"{probe}-g1"][1],#[i],
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"label": f"{probe}-Gauge 1 - Scope - Shock Point {gData['shock-point'][f'{probe}-g1'][1]:.2f}$\\mu$s",
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"colour": UQC["purple"].lighten(0.5),
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"args":{"zorder":2, "linestyle":"--", "alpha":0.5}
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})
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lims.append(gData["shock-point"][f"{probe}-g1"][1])
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if f"{probe}-g2" in gData["shock-point"]:
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graphData["plots"].append({
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"type": "axvLine",
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"x": gData["shock-point"][f"{probe}-g2"][1],#[i],
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"label": f"{probe}-Gauge 2 - Scope - Shock Point {gData['shock-point'][f'{probe}-g2'][1]:.2f}$\\mu$s",
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"colour": UQC["purple"].lighten(0.5),
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"args":{"zorder":2, "linestyle":":", "alpha":0.5}
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})
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lims.append(gData["shock-point"][f"{probe}-g2"][1])
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for _, probe in enumerate(gData["info"]["probe-info"]["locations"]):
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if f"{probe}-g1" in gData["shock-point"]["x2"]:
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graphData["plots"].append({
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"type": "axvLine",
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"x": gData["shock-point"]["x2"][f"{probe}-g1"][1],#[i],
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"label": f"{probe}-Gauge 1 - X2 DAQ - Shock Point {gData['shock-point'][f'{probe}-g1'][1]:.2f}$\\mu$s",
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"colour": UQC["dark_grey"],
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"args":{"zorder":2, "linestyle":"--", "alpha":0.5}
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})
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lims.append(gData["shock-point"]["x2"][f"{probe}-g1"][1])
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if f"{probe}-g2" in gData["shock-point"]["x2"]:
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graphData["plots"].append({
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"type": "axvLine",
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"x": gData["shock-point"]["x2"][f"{probe}-g2"][1],#[i],
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"label": f"{probe}-Gauge 2 - X2 DAQ - Shock Point {gData['shock-point'][f'{probe}-g2'][1]:.2f}$\\mu$s",
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"colour": UQC["dark_grey"],
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"args":{"zorder":2, "linestyle":":", "alpha":0.5}
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})
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lims.append(gData["shock-point"]["x2"][f"{probe}-g2"][1])
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if True and len(lims) > 1:
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OFFSET = 10 #if not forcePlots else 50
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graphData["xLim"] = (float(min(lims) - OFFSET), float(max(lims) + OFFSET))
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makeGraph(graphData, doProgramBlock=False, showPlot=showPlot, figSavePath=f"./images/signal_comp-{gData['info']['shot-info']['name']}.png")
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print("Loading Data")
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print("Loading Data")
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# My Shot Data
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# My Shot Data
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@ -997,9 +1082,9 @@ for dp in data_to_load:
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loaded_data = tuple(data.keys())
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loaded_data = tuple(data.keys())
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# Reference Data from Mragank
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# Reference Data from Mragank
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ref_data = {}
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#ref_data = {}
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for refShot in ref_data_to_load:
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#for refShot in ref_data_to_load:
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load_ref_data(refShot, f"./data/referance/{refShot}/{refShot}.tdms", ref_data)
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# load_ref_data(refShot, f"./data/referance/{refShot}/{refShot}.tdms", ref_data)
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print("Loaded Data")
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print("Loaded Data")
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@ -1019,6 +1104,10 @@ print("Graphing Data")
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#
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#
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#genComboDataGraph(combo_data, doShockLabels=True)
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#genComboDataGraph(combo_data, doShockLabels=True)
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genX2CompGraphs(data["x2s5831"], showPlot=False)
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genX2CompGraphs(data["x2s5832"], showPlot=False)
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# Reference Data
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# Reference Data
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#for shot in ref_data:
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#for shot in ref_data:
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# genRefGraph(ref_data[shot], showPlot=False, addShockInfo=False)
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# genRefGraph(ref_data[shot], showPlot=False, addShockInfo=False)
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