130 lines
5.6 KiB
Python
130 lines
5.6 KiB
Python
# ENGG4900 Graph Generators
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# Cal Wing 2023
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import os
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import pandas as pd
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import matplotlib.pyplot as plt
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from makeGraph import makeGraph, UQ_COLOURS as UQC
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DATA_FILE_PATH = ".\\data\\AERO4450-Group-10-Data-Analysis-v2.xls"
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actualData = pd.read_excel(DATA_FILE_PATH, sheet_name="Actual Data")
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actualGraphData = pd.read_excel(DATA_FILE_PATH, sheet_name="Actual Data Graphs")
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calibrationData = pd.read_excel(DATA_FILE_PATH, sheet_name="Calibration Data")
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calibrationGraphData = pd.read_excel(DATA_FILE_PATH, sheet_name="Calibration Data Graphs")
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def makeActualDataGraph(testRun):
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cols = [f"Unnamed: {3 + testRun*5}", f"Unnamed: {4+ testRun*5}"]
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data = actualData[cols].rename(columns = {cols[0]:'Time', cols[1]:'Strain'})
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data = data[5:505].astype({"Time":"int", "Strain":"float"})
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data1 = data[0::2]
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data2 = data[1::2]
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return data1, data2
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def makeCalibrationDataGraph(testRun):
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cols = [f"Unnamed: {3 + testRun*5}", f"Unnamed: {2 + testRun*5}"]
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data = calibrationData[cols].rename(columns = {cols[0]:'Time', cols[1]:'Strain'})
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#Blah not all test runs start at the same point
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blah = 1 if testRun in [0, 4] else 0
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data = (data[5:505])[blah::2].astype({"Time":"int", "Strain":"float"})
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return data
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if __name__ == "__main__":
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if not os.path.isdir("./images"):
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os.mkdir("./images")
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# Actual Data
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for i in [0,1]:
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graphData = {
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"figTitle": f"Strain over Time (Runs {i+1} to {i+4})",
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"figTitleFontSize": 16,
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"figSize": (8,8), #Yay America, this is in inches :/ # Note: cm = 1/2.54
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"plotDim": (2,2),
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"subPlots":[]
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}
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for ii in range(i*4, 4 + i*4):
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data1, data2 = makeActualDataGraph(ii)
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newPlot = {
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"title": f"Run {ii+1}",
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"xLabel": "Time (ms) - Δt = 10ms",
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"yLabel": "Strain (ε)" if ii % 2 == 0 else "",
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"plots": [
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#{"type": "text", "text": "Δt = 10ms", "x":0.99, "y":0.03, "align":("bottom", "right")},
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{"type":"scatter", "x": data1["Time"], "y": data1["Strain"], "args":{"s":10, "zorder":2}, "label":"Upper", "colour": UQC["purple"]},
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{"type":"scatter", "x": data2["Time"], "y": data2["Strain"], "args":{"s":10, "zorder":1}, "label":"Lower", "colour": UQC["dark_grey"]},
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{"type":"plot", "x": data1["Time"], "y": data1["Strain"], "args":{"zorder":0, "alpha":0.25}, "colour": UQC["purple"]},
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{"type":"plot", "x": data2["Time"], "y": data2["Strain"], "args":{"zorder":0, "alpha":0.25}, "colour": UQC["dark_grey"]},
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]
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}
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graphData["subPlots"].append(newPlot)
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#fig, _ = makeGraph(graphData, showPlot=False)
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#fig.savefig(f"./images/actualData_Runs_{i+1}-_{i+4}.png")
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# Initial test Data
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data1, data2 = makeActualDataGraph(8)
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graphData = {
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"title": f"Initial Test Data\n\"Run 0\"",
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"xLabel": "Time (ms) - Δt = 10ms",
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"yLabel": "Strain (ε)",
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"plots":[
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{"type":"scatter", "x": data1["Time"], "y": data1["Strain"], "args":{"s":10, "zorder":2}, "label":"Upper", "colour": UQC["purple"]},
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{"type":"scatter", "x": data2["Time"], "y": data2["Strain"], "args":{"s":10, "zorder":1}, "label":"Lower", "colour": UQC["dark_grey"]},
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{"type":"plot", "x": data1["Time"], "y": data1["Strain"], "args":{"zorder":0, "alpha":0.25}, "colour": UQC["purple"]},
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{"type":"plot", "x": data2["Time"], "y": data2["Strain"], "args":{"zorder":0, "alpha":0.25}, "colour": UQC["dark_grey"]},
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]
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}
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#fig, _ = makeGraph(graphData)
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#fig.savefig("./images/initTestData.png")
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# Calibration Data
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# Average Data
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cols = [f"force stuff", f"Unnamed: 25"]
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data = calibrationGraphData[cols].rename(columns = {cols[0]:'Strain', cols[1]:'Force'})
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data = data[2:8].astype({"Strain":"float", "Force":"float"})
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avgStrainGraphData = {
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"title": f"Force vs Average Strain",
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"xLabel": "Average Strain (ε)",
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"yLabel": "Weight (N)",
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"plots":[
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{"type":"scatter", "x": data["Strain"], "y": data["Force"], "args":{"s":10, "zorder":2}, "label":"Average Strain", "colour": UQC["purple"]},
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{"type":"plot", "label": "Approximation: y(x) = 0.196722x", "x": data["Strain"], "y": data["Strain"]*0.196722, "args":{"zorder":0, "alpha":0.5}, "colour": UQC["dark_grey"]}
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]
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}
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#fig, _ = makeGraph(avgStrainGraphData)
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#fig.savefig("./images/AverageCaliStrain.png")
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# Actual Data
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for i in [0,1]:
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graphData = {
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"figTitle": f"Calibration Data\nStrain over Time (Runs {i+1} to {i+4})",
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"figTitleFontSize": 16,
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"figSize": (8,8), #Yay America, this is in inches :/ # Note: cm = 1/2.54
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"plotDim": (2,2),
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"subPlots":[]
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}
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for ii in range(i*4, 4 + i*3):
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data = makeCalibrationDataGraph(ii)
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newPlot = {
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"title": f"Run {ii+1} - {(ii+1)*50}g",
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"xLabel": "Time (ms) - Δt = 10ms",
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"yLabel": "Strain (ε)" if ii % 2 == 0 else "",
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"plots": [
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{"type":"scatter", "x": data["Time"], "y": data["Strain"], "args":{"s":10, "zorder":2}, "colour": UQC["light_purple"]}
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]
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}
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graphData["subPlots"].append(newPlot)
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if bool(i): graphData["subPlots"].append(avgStrainGraphData)
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fig, _ = makeGraph(graphData, showPlot=False)
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fig.savefig(f"./images/calibData_Runs_{i+1}-_{i+(4 if i != 0 else 3)}.png")
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plt.show() |