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39
README.md
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39
README.md
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@ -0,0 +1,39 @@
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# Ionization Probe Analysis Code
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> Written by Cal Wing (<c.wing@uq.net.au> - 45811953) in 2024 for his Thesis
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## Installation
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Run `pip install -r requirements.txt` or equivilient for your envoroment.
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## Running
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Run `main.py` it will then generate all the output graphs and put them in (a git untracked) folder called `./images`.
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By default all data graphs will be generated - you need to change the functions called at the end in the `if '__name__ == '__main__':` section.
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## `./data` Explanation
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I like YAML files to store information. All the data shot folders have a file call `_info.yaml` this file contained all the info about the shot so that when it would load & be graphed it would be correct.
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I hope the values are self explanatory but they may not - sorry
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## Changes to [canny_shock_finder.py](./canny_shock_finder.py)
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Basically I hacked in an extra argument `print_func`, that is used to override the `print` function in the file. It assumes its either a callable reference (like print, the default) or None (it then uses a no-operation function to silence all output)
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I also removed the error catching around lines ~497 so the function blindly continues if it can't graph.
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I also enabled grid lines on the graphs.
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The UQ colours being used on the graphs is due to some funky ~~abuse~~ *utlitly* I built into my [`makeGraph`](#makegraph) library.
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## MakeGraph
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> This refers to the [makeGraph.py](./makeGraph.py) file/version *in this code base*, I would not trust the exact specifics for versions found elsewhere, but the general gist is the same.
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A *long* time ago I wrote a wrapper for matplotlib that has expanded into a formatting tool. The crux of it is that I can throw a dictionary at the `makeGraph` function and it will do all the hard work for me.
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There are a few fun things that loading the lib will do - like overriding the default colour cyclers to use only the UQ colours - so if your going to liberate / adapt it be wary.
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All the graphing done in the [`main.py`](./main.py) uses makeGraph, its not the most scary thing in the world as its basically ~~AI~~ *a big if conditional*.
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@ -15,7 +15,7 @@ Chris James (c.james4@uq.edu.au) - 04/07/17
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# Amened by Cal Wing to make the function not print
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# Amened by Cal Wing to make the function not print
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VERSION_STRING = "17-Oct-2024"
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VERSION_STRING = "20-Oct-2024"
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def canny_shock_finder(time_list, pressure_list, sigma = 4, derivative_threshold = 0.001, auto_derivative = False, post_suppression_threshold = 0.05,
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def canny_shock_finder(time_list, pressure_list, sigma = 4, derivative_threshold = 0.001, auto_derivative = False, post_suppression_threshold = 0.05,
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post_shock_pressure = None, start_time = None, find_second_peak = None, plot = True, plot_scale_factor = None,
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post_shock_pressure = None, start_time = None, find_second_peak = None, plot = True, plot_scale_factor = None,
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@ -116,6 +116,8 @@ def canny_shock_finder(time_list, pressure_list, sigma = 4, derivative_threshold
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:param plot_time_scale: See plot_time_unit above. These two inputs allow the results plot to be in a different
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:param plot_time_scale: See plot_time_unit above. These two inputs allow the results plot to be in a different
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time unit to the original data. The user must specify this scale to connect the original and plotted
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time unit to the original data. The user must specify this scale to connect the original and plotted
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time units. Defaults to 1.0 (so no change if time units are seconds).
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time units. Defaults to 1.0 (so no change if time units are seconds).
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:param print_func: Callable Reference to call when print is called in this function. Defaults to 'print' but if 'None'
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is passed it uses a no-operation function to silence all output.
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"""
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"""
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# Make the function silent / have print overridable
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# Make the function silent / have print overridable
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@ -56,7 +56,7 @@ probe-info:
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- 2
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- 2
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locations: # In order of pulse
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locations: # In order of pulse
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- "st2"
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- "st2"
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- "st3"
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# - "st3"
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data-records:
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data-records:
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- type: "scope"
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- type: "scope"
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115
main.py
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main.py
@ -29,22 +29,6 @@ CANNY_TIME_OFFSET = 50 #us
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with open(TUNNEL_INFO_FILE, 'r') as file:
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with open(TUNNEL_INFO_FILE, 'r') as file:
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TUNNEL_INFO = yaml.safe_load(file)
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TUNNEL_INFO = yaml.safe_load(file)
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data_to_load = [
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"x2s5823",
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"x2s5824",
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"x2s5827",
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"x2s5829",
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"x2s5830",
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"x2s5831",
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"x2s5832"
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]
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ref_data_to_load = [
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"x2s5820",
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"x2s5821",
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"x2s5822"
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]
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# ==== Uncerts ====
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# ==== Uncerts ====
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# Taken from DOI: 10.1007/s00193-017-0763-3 (Implementation of a state-to-state analytical framework for the calculation of expansion tube flow properties)
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# Taken from DOI: 10.1007/s00193-017-0763-3 (Implementation of a state-to-state analytical framework for the calculation of expansion tube flow properties)
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@ -319,7 +303,7 @@ def load_data(data_path: str, data={}) -> dict:
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for i, probe in enumerate(dataInfo["probe-info"]["locations"]):
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for i, probe in enumerate(dataInfo["probe-info"]["locations"]):
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# Get the canny-args
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# Get the canny-args
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cArgs = dataInfo["canny-args"]
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cArgs = dataInfo["canny-args"]
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doCannyPlot = x2_shot == "x2s5829" and probe == "st2" and False
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doCannyPlot = False # x2_shot == "x2s5829" and probe == "st2" # This condition was used to generate some graphs
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plotValues = {
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plotValues = {
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"plot_title": f"Canny Shock Finding Result for {x2_shot} - ST2 Gauge 1",
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"plot_title": f"Canny Shock Finding Result for {x2_shot} - ST2 Gauge 1",
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"plot_time_unit": "$\\mu$s",
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"plot_time_unit": "$\\mu$s",
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@ -1082,7 +1066,7 @@ def genX2CompGraphs(gData: dict, showPlot: bool = True):
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graphData["plots"].append({
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graphData["plots"].append({
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"type": "axvLine",
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"type": "axvLine",
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"x": gData["shock-point"]["x2"][f"{probe}-g1"][1],#[i],
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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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"label": f"{probe}-Gauge 1 - X2 DAQ - Shock Point {gData['shock-point']["x2"][f'{probe}-g1'][1]:.2f}$\\mu$s",
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"colour": UQC["dark_grey"],
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"colour": UQC["dark_grey"],
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"args":{"zorder":2, "linestyle":"--", "alpha":0.5}
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"args":{"zorder":2, "linestyle":"--", "alpha":0.5}
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})
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})
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graphData["plots"].append({
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graphData["plots"].append({
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"type": "axvLine",
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"type": "axvLine",
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"x": gData["shock-point"]["x2"][f"{probe}-g2"][1],#[i],
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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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"label": f"{probe}-Gauge 2 - X2 DAQ - Shock Point {gData['shock-point']["x2"][f'{probe}-g2'][1]:.2f}$\\mu$s",
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"colour": UQC["dark_grey"],
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"colour": UQC["dark_grey"],
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"args":{"zorder":2, "linestyle":":", "alpha":0.5}
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"args":{"zorder":2, "linestyle":":", "alpha":0.5}
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})
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})
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@ -1116,52 +1100,67 @@ def genX2CompGraphs(gData: dict, showPlot: bool = True):
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pass
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pass
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print("Loading Data")
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if __name__ == "__main__":
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data_to_load = [
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"x2s5823",
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"x2s5824",
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"x2s5827",
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"x2s5829",
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"x2s5830",
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"x2s5831",
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"x2s5832"
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]
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# My Shot Data
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ref_data_to_load = [
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data = {}
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"x2s5820",
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for dp in data_to_load:
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"x2s5821",
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pdp = f"{DATA_PATH}/{dp}/"
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"x2s5822"
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load_data(pdp, data)
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]
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loaded_data = tuple(data.keys())
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print("Loading Data")
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# Reference Data from Mragank
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# My Shot Data
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ref_data = {}
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data = {}
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for refShot in ref_data_to_load:
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for dp in data_to_load:
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load_ref_data(refShot, f"./data/referance/{refShot}/{refShot}.tdms", ref_data)
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pdp = f"{DATA_PATH}/{dp}/"
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load_data(pdp, data)
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print("Loaded Data")
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loaded_data = tuple(data.keys())
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# Reference Data from Mragank
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ref_data = {}
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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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print("Loaded Data")
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print("Graphing Data")
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# General Shot Graphing
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for shot in loaded_data:
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#print(data[shot]['info']['long_name'].rsplit("\n", 1)[-1])
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genGraph(data[shot], showPlot=False, addShockInfo=False)
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genGraph(data[shot], showPlot=False, forcePlots=True)
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combo_data = data.copy()
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combo_data.pop(loaded_data[-2])
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combo_data.pop(loaded_data[-1])
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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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print("Graphing Data")
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# Reference 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, forcePlots=True)
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# General Shot Graphing
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genComboRefGraph(ref_data, doShockLabels=True)
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for shot in loaded_data:
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genComboRefGraph(ref_data, ref_data[ref_data_to_load[0]]["info"]["pcb-refs"], addShockInfo=True)
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#print(data[shot]['info']['long_name'].rsplit("\n", 1)[-1])
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genGraph(data[shot], showPlot=False, addShockInfo=False)
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genGraph(data[shot], showPlot=False, forcePlots=True)
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combo_data = data.copy()
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combo_data.pop(loaded_data[-2])
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combo_data.pop(loaded_data[-1])
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genComboDataGraph(combo_data, doShockLabels=True)
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genX2CompGraphs(data["x2s5831"], showPlot=False)
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# This forces matplotlib to hang until I tell it to close all windows
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genX2CompGraphs(data["x2s5832"], showPlot=False)
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pltKeyClose()
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print("Done")
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# Reference 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, forcePlots=True)
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genComboRefGraph(ref_data, doShockLabels=True)
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genComboRefGraph(ref_data, ref_data[ref_data_to_load[0]]["info"]["pcb-refs"], addShockInfo=True)
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# This forces matplotlib to hang until I tell it to close all windows
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pltKeyClose()
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print("Done")
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