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Merge pull request #166 from drjfloyd/master
Add script to plot experimental data
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| # script to plot gassification test data | ||
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| import math | ||
| import numpy as np | ||
| from matplotlib import pyplot as plt | ||
| import pandas as pd | ||
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| plt.ion() | ||
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| # plotting parameters | ||
| plt.rc('text', usetex=True) | ||
| plt.rc('font', family='serif') | ||
| plt.rc('lines', linewidth=1.5) | ||
| plt.rc('xtick', labelsize=18) | ||
| plt.rc('ytick', labelsize=18) | ||
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| dat = np.loadtxt('../PMMA/Validation_Data/NIST_Gasification_Apparatus/Black-Copper_q50_Temp.csv', skiprows=2, delimiter=',') | ||
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| t = dat[:,0] | ||
| T_back = dat[:,1] | ||
| Uc_back = dat[:,2] | ||
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| # mean and standard deviation | ||
| plt.plot( t, T_back, ls='-', color='black') | ||
| plt.fill_between(t, T_back - Uc_back, T_back + Uc_back,color='black', alpha=0.2) | ||
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| plt.xlabel(r"Time (s)", fontsize=20) | ||
| plt.ylabel(r"Back Surface Temperature (K)", fontsize=20) | ||
| plt.tight_layout() | ||
| plt.savefig("../PMMA/Validation_Data/NIST_Gasification_Apparatus/NIST_Gasification_Apparatus_Cu.pdf") | ||
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| dat = np.loadtxt('../PMMA/Validation_Data/NIST_Gasification_Apparatus/Black-Insulation_q50_Temp.csv', skiprows=2, delimiter=',') | ||
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| t = dat[:,0] | ||
| T_back_572 = dat[:,1] | ||
| T_back_1144 = dat[:,2] | ||
| T_back_1716 = dat[:,3] | ||
| Uc_back_572 = dat[:,4] | ||
| Uc_back_1144 = dat[:,5] | ||
| Uc_back_1716 = dat[:,6] | ||
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| plt.clf() | ||
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| plt.plot( t, T_back_572, ls='-', color='black', label='5.72 mm') | ||
| plt.fill_between(t, T_back_572 - Uc_back_572, T_back_572 + Uc_back_572,color='black', alpha=0.2) | ||
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| plt.plot( t, T_back_1144, ls='--', color='red', label='11.44 mm') | ||
| plt.fill_between(t, T_back_1144 - Uc_back_1144, T_back_1144 + Uc_back_1144,color='red', alpha=0.2) | ||
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| plt.plot( t, T_back_1716, ls=':', color='blue', label='17.76 mm') | ||
| plt.fill_between(t, T_back_1716 - Uc_back_1716, T_back_1716 + Uc_back_1716,color='blue', alpha=0.2) | ||
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| plt.legend(loc='lower right',title=r'Depth') | ||
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| plt.xlabel(r"Time (s)", fontsize=20) | ||
| plt.ylabel(r"Temperature (K)", fontsize=20) | ||
| plt.tight_layout() | ||
| plt.savefig("../PMMA/Validation_Data/NIST_Gasification_Apparatus/NIST_Gasification_Apparatus_Ins.pdf") | ||
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| dat1 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q25_Temp_R1.csv', skiprows=[1], delimiter=',') | ||
| dat2 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q25_Temp_R2.csv', skiprows=[1], delimiter=',') | ||
| dat3 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q25_Temp_R3.csv', skiprows=[1], delimiter=',') | ||
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| plt.clf() | ||
| plt.plot(dat1['Time'],dat1['T_back_1'], ls='-', color='black', label='R1') | ||
| plt.plot(dat1['Time'],dat1['T_back_2'], ls='-.', color='black') | ||
| plt.plot(dat2['Time'],dat2['T_back_1'], ls='-', color='red', label='R2') | ||
| plt.plot(dat2['Time'],dat2['T_back_2'], ls='-.', color='red') | ||
| plt.plot(dat3['Time'],dat3['T_back_1'], ls='-', color='blue', label='R3') | ||
| plt.plot(dat3['Time'],dat3['T_back_2'],ls='-.', color='blue') | ||
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| plt.legend(loc='lower right') | ||
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| plt.xlabel(r"Time (s)", fontsize=20) | ||
| plt.ylabel(r"PMMA Backside Temperature (K)", fontsize=20) | ||
| plt.tight_layout() | ||
| plt.savefig("../PMMA/Validation_Data/NIST_Gasification_Apparatus/NIST_Gasification_Apparatus_25T.pdf") | ||
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| dat1 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_Mass_R3.csv', skiprows=[1], delimiter=',') | ||
| dat2 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_Mass_R4.csv', skiprows=[1], delimiter=',') | ||
| dat3 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_Mass_R5.csv', skiprows=[1], delimiter=',') | ||
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| plt.clf() | ||
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| plt.plot(dat1['Time'],dat1['Mass'], ls='-', color='black', label='R1') | ||
| plt.plot(dat2['Time'],dat2['Mass'], ls='-.', color='red', label='R2') | ||
| plt.plot(dat3['Time'],dat3['Mass'], ls=':', color='blue', label='R3') | ||
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| plt.legend(loc='upper right') | ||
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| plt.xlabel(r"Time (s)", fontsize=20) | ||
| plt.ylabel(r"Sample Mass (g)", fontsize=20) | ||
| plt.tight_layout() | ||
| plt.savefig("../PMMA/Validation_Data/NIST_Gasification_Apparatus/NIST_Gasification_Apparatus_50M.pdf") | ||
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| dat1 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_MLR_R3.csv', skiprows=[1], delimiter=',') | ||
| dat2 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_MLR_R4.csv', skiprows=[1], delimiter=',') | ||
| dat3 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_MLR_R5.csv', skiprows=[1], delimiter=',') | ||
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| plt.clf() | ||
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| plt.plot(dat1['Time'],dat1['MLR'], ls='-', color='black', label='R1') | ||
| plt.plot(dat2['Time'],dat2['MLR'], ls='-.', color='red', label='R2') | ||
| plt.plot(dat3['Time'],dat3['MLR'], ls=':', color='blue', label='R3') | ||
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| plt.legend(loc='upper right') | ||
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| plt.xlabel(r"Time (s)", fontsize=20) | ||
| plt.ylabel(r"Mass Loss Rate (g/(m$^2$~s))", fontsize=20) | ||
| plt.tight_layout() | ||
| plt.savefig("../PMMA/Validation_Data/NIST_Gasification_Apparatus/NIST_Gasification_Apparatus_50MLR.pdf") | ||
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| dat1 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_Temp_R1.csv', skiprows=[1], delimiter=',') | ||
| dat2 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_Temp_R2.csv', skiprows=[1], delimiter=',') | ||
| dat3 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_Temp_R3.csv', skiprows=[1], delimiter=',') | ||
| dat4 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_Temp_R4.csv', skiprows=[1], delimiter=',') | ||
| dat5 = pd.read_csv('../PMMA/Validation_Data/NIST_Gasification_Apparatus/MaCFP-PMMA_Gasification_q50_Temp_R5.csv', skiprows=[1], delimiter=',') | ||
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| plt.clf() | ||
| plt.plot(dat1['Time'],dat1['T_back_1'], ls='-', color='black', label='R1') | ||
| plt.plot(dat1['Time'],dat1['T_back_2'], ls='-.', color='black') | ||
| plt.plot(dat1['Time'],dat1['T_back_3'], ls=':', color='black') | ||
| plt.plot(dat2['Time'],dat2['T_back_1'], ls='-', color='red', label='R2') | ||
| plt.plot(dat2['Time'],dat2['T_back_2'], ls='-.', color='red') | ||
| plt.plot(dat2['Time'],dat2['T_back_3'], ls=':', color='red') | ||
| plt.plot(dat3['Time'],dat3['T_back_1'], ls='-', color='blue', label='R3') | ||
| plt.plot(dat3['Time'],dat3['T_back_2'], ls='-.', color='blue') | ||
| plt.plot(dat3['Time'],dat3['T_back_3'], ls=':', color='blue') | ||
| plt.plot(dat4['Time'],dat4['T_back_1'], ls='-', color='green', label='R4') | ||
| plt.plot(dat4['Time'],dat4['T_back_2'], ls='-.', color='green') | ||
| plt.plot(dat5['Time'],dat5['T_back_1'], ls='-', color='purple', label='R5') | ||
| plt.plot(dat5['Time'],dat5['T_back_2'], ls='-.', color='purple') | ||
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| plt.legend(loc='lower right') | ||
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| plt.xlabel(r"Time (s)", fontsize=20) | ||
| plt.ylabel(r"PMMA Backside Temperature (K)", fontsize=20) | ||
| plt.tight_layout() | ||
| plt.savefig("../PMMA/Validation_Data/NIST_Gasification_Apparatus/NIST_Gasification_Apparatus_50T.pdf") |