LaBelle_Julia_lab10_LATE_FLU.ipynb crawford_melissa_macrawf2_lab10.ipynb: 0025 #rxID = 175 crawford_melissa_macrawf2_lab10.ipynb: 0097 #plt.gca().xaxis.set_major_formatter(dates.DateFormatter('%H:%M')) snyder_bradley_lab10.ipynb: 0097 #plt.gca().xaxis.set_major_formatter(dates.DateFormatter('%H:%M')) Maier_Christopher_Lab10_LATE.ipynb Hsu_HengWei_Lab10_FA2014.ipynb: 0104 rxID = 550 Hsu_HengWei_Lab10_FA2014.ipynb: 0110 ax.set_xlabel('East') Hsu_HengWei_Lab10_FA2014.ipynb: 0196 ax.set_zlabel('Up') Hsu_HengWei_Lab10_FA2014.ipynb: 0240 ax.set_ylabel('North') Ling_Wang-Jung_Lab10.ipynb: 0056 rxID = 172 Ling_Wang-Jung_Lab10.ipynb: 0255 rxID = 1162 Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0260 solutions = [] Shih_ChienTung_Lab10.ipynb: 0104 rxID = 550 de Paula Vasconcelos_Thiago_Lab10.ipynb: 0010 rxID = 901 de Paula Vasconcelos_Thiago_Lab10.ipynb: 0056 rxID = 172 de Paula Vasconcelos_Thiago_Lab10.ipynb: 0255 rxID = 1162 de Paula Vasconcelos_Thiago_Lab10.ipynb: 0263 rxID = 205 McLaughlin_Sean_Lab10.ipynb: 0070 ax = fig.add_subplot(111, projection='3d') McLaughlin_Sean_Lab10.ipynb: 0110 ax.set_xlabel('East') McLaughlin_Sean_Lab10.ipynb: 0196 ax.set_zlabel('Up') McLaughlin_Sean_Lab10.ipynb: 0240 ax.set_ylabel('North') snyder_bradley_lab10.ipynb: 0255 rxID = 1162 snyder_bradley_lab10.ipynb: 0263 rxID = 205 Tang_Yuhan_Lab10.ipynb: 0197 fig = plt.figure() Antonacci_Dominic_Lab10.ipynb: 0104 rxID = 550 Hsu_HengWei_Lab10_FA2014.ipynb Maier_Christopher_Lab10_LATE.ipynb: 0074 rxID = 550 Maier_Christopher_Lab10_LATE.ipynb: 0080 ax.set_xlabel('East') Maier_Christopher_Lab10_LATE.ipynb: 0144 ax.set_zlabel('Up') Maier_Christopher_Lab10_LATE.ipynb: 0176 ax.set_ylabel('North') Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0028 fig = pylab.figure() Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0032 pyplot.show() Shih_ChienTung_Lab10.ipynb: 0028 fig = pylab.figure() Shih_ChienTung_Lab10.ipynb: 0032 pyplot.show() Shih_ChienTung_Lab10.ipynb: 0036 ax = Axes3D(fig) Shih_ChienTung_Lab10.ipynb: 0074 rxID = 550 Vankayala_Anuraag_Lab10.ipynb: 0028 fig = pylab.figure() McLaughlin_Sean_Lab10.ipynb: 0080 ax.set_xlabel('East') McLaughlin_Sean_Lab10.ipynb: 0144 ax.set_zlabel('Up') McLaughlin_Sean_Lab10.ipynb: 0176 ax.set_ylabel('North') TsungHan_Lei_lab10.ipynb: 0028 fig = pylab.figure() TsungHan_Lei_lab10.ipynb: 0036 ax = Axes3D(fig) Antonacci_Dominic_Lab10.ipynb: 0074 rxID = 550 Ling_Wang-Jung_Lab10.ipynb Maier_Christopher_Lab10_LATE.ipynb: 0031 rxID = 172 Maier_Christopher_Lab10_LATE.ipynb: 0156 rxID = 1162 Wang_Xinao_lab10.ipynb: 0070 plt.show() Shih_ChienTung_Lab10.ipynb: 0039 ax.set_zlabel('up') Shih_ChienTung_Lab10.ipynb: 0091 ax.set_ylabel('north') Shih_ChienTung_Lab10.ipynb: 0140 ax.set_xlabel('east') Bai_Hongyang_Lab10.ipynb: 0135 for i in range(5): manual_devasia_lab10.ipynb: 0070 plt.show() de Paula Vasconcelos_Thiago_Lab10.ipynb: 0031 rxID = 172 de Paula Vasconcelos_Thiago_Lab10.ipynb: 0135 for i in range(5): de Paula Vasconcelos_Thiago_Lab10.ipynb: 0156 rxID = 1162 McLaughlin_Sean_Lab10.ipynb: 0070 plt.show() TsungHan_Lei_lab10.ipynb: 0070 plt.show() TsungHan_Lei_lab10.ipynb: 0135 for i in range(5): snyder_bradley_lab10.ipynb: 0156 rxID = 1162 Antonacci_Dominic_Lab10.ipynb: 0070 plt.show() Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb Maier_Christopher_Lab10_LATE.ipynb: 0195 solutions = [] Hsu_HengWei_Lab10_FA2014.ipynb: 0035 fig = pylab.figure() Hsu_HengWei_Lab10_FA2014.ipynb: 0043 pyplot.show() Wang_Hongru_Wang_Lab10.ipynb: 0052 i += 1 Wang_Hongru_Wang_Lab10.ipynb: 0146 return cls yi-luen_wu_ECE398BD_Lab10_FA2014.ipynb: 0076 y.append(lat_ref) yi-luen_wu_ECE398BD_Lab10_FA2014.ipynb: 0087 x = [] yi-luen_wu_ECE398BD_Lab10_FA2014.ipynb: 0097 y = [] yi-luen_wu_ECE398BD_Lab10_FA2014.ipynb: 0239 x.append(lon_ref) Shih_ChienTung_Lab10.ipynb: 0016 A = np.matrix(A) Shih_ChienTung_Lab10.ipynb: 0035 fig = pylab.figure() Shih_ChienTung_Lab10.ipynb: 0043 pyplot.show() Vankayala_Anuraag_Lab10.ipynb: 0035 fig = pylab.figure() Bai_Hongyang_Lab10.ipynb: 0236 D = [] TsungHan_Lei_lab10.ipynb: 0035 fig = pylab.figure() snyder_bradley_lab10.ipynb: 0226 print time Tang_Yuhan_Lab10.ipynb: 0016 A = np.matrix(A) Tang_Yuhan_Lab10.ipynb: 0146 return cls Antonacci_Dominic_Lab10.ipynb: 0074 for rxID in rxID_list: Wang_Hongru_Wang_Lab10.ipynb Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0085 i += 1 Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0145 return cls Deng_Fei_Lab10.ipynb: 0005 posix_time = rxdata['UT'][0] Deng_Fei_Lab10.ipynb: 0037 return lat, lon, deast, dnorth Deng_Fei_Lab10.ipynb: 0113 start_time = calendar.timegm(start_time.timetuple()) Deng_Fei_Lab10.ipynb: 0123 xlabel(x_label) Deng_Fei_Lab10.ipynb: 0131 end_time += 30 Deng_Fei_Lab10.ipynb: 0168 ax.axis([-4, 4, -4, 4]) Deng_Fei_Lab10.ipynb: 0184 start_time = end_time Deng_Fei_Lab10.ipynb: 0191 ax = fig.add_subplot(subp) Deng_Fei_Lab10.ipynb: 0210 ax.set_autoscale_on(False) Deng_Fei_Lab10.ipynb: 0217 ylabel(y_label) Bai_Hongyang_Lab10.ipynb: 0037 return lat, lon, deast, dnorth crawford_melissa_macrawf2_lab10.ipynb: 0150 print y crawford_melissa_macrawf2_lab10.ipynb: 0216 print x Li_Boyu_Lab10_FA2014.ipynb: 0037 return lat, lon, deast, dnorth Li_Boyu_Lab10_FA2014.ipynb: 0113 start_time = calendar.timegm(start_time.timetuple()) Li_Boyu_Lab10_FA2014.ipynb: 0123 xlabel(x_label) Li_Boyu_Lab10_FA2014.ipynb: 0131 end_time += 30 Li_Boyu_Lab10_FA2014.ipynb: 0168 ax.axis([-4, 4, -4, 4]) Li_Boyu_Lab10_FA2014.ipynb: 0184 start_time = end_time Li_Boyu_Lab10_FA2014.ipynb: 0191 ax = fig.add_subplot(subp) Li_Boyu_Lab10_FA2014.ipynb: 0210 ax.set_autoscale_on(False) Li_Boyu_Lab10_FA2014.ipynb: 0217 ylabel(y_label) McLaughlin_Sean_Lab10.ipynb: 0146 for i in xrange(10): snyder_bradley_lab10.ipynb: 0216 print x Tang_Yuhan_Lab10.ipynb: 0145 return cls yi-luen_wu_ECE398BD_Lab10_FA2014.ipynb Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0063 y.append(lat_ref) Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0078 x = [] Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0089 y = [] Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0230 x.append(lon_ref) Wang_Xinao_lab10.ipynb: 0001 plt.tight_layout() feddersen_matthew_lab10.ipynb: 0126 d = [] manual_devasia_lab10.ipynb: 0001 plt.tight_layout() Deng_Fei_Lab10.ipynb Wang_Hongru_Wang_Lab10.ipynb: 0006 posix_time = rxdata['UT'][0] Wang_Hongru_Wang_Lab10.ipynb: 0008 start_time = end_time Wang_Hongru_Wang_Lab10.ipynb: 0046 return lat, lon, deast, dnorth Wang_Hongru_Wang_Lab10.ipynb: 0052 ylabel(y_label) Wang_Hongru_Wang_Lab10.ipynb: 0063 end_time += 30 Wang_Hongru_Wang_Lab10.ipynb: 0123 start_time = calendar.timegm(start_time.timetuple()) Wang_Hongru_Wang_Lab10.ipynb: 0173 ax = fig.add_subplot(subp) Wang_Hongru_Wang_Lab10.ipynb: 0181 ax.axis([-4, 4, -4, 4]) Wang_Hongru_Wang_Lab10.ipynb: 0227 ax.set_autoscale_on(False) Wang_Hongru_Wang_Lab10.ipynb: 0251 xlabel(x_label) Vankayala_Anuraag_Lab10.ipynb: 0024 std_up = np.std(up) Vankayala_Anuraag_Lab10.ipynb: 0122 std_north = np.std(north) Bai_Hongyang_Lab10.ipynb: 0046 return lat, lon, deast, dnorth Bai_Hongyang_Lab10.ipynb: 0087 return east, north, up, t Li_Boyu_Lab10_FA2014.ipynb: 0008 start_time = end_time Li_Boyu_Lab10_FA2014.ipynb: 0014 if x_label: Li_Boyu_Lab10_FA2014.ipynb: 0015 east, north, up, t = getQueryData(rxID=rxID, tstart=tstart, tstop=tstop) Li_Boyu_Lab10_FA2014.ipynb: 0022 lat = rxdata['lat'][0] Li_Boyu_Lab10_FA2014.ipynb: 0024 std_up = np.std(up) Li_Boyu_Lab10_FA2014.ipynb: 0030 c = 2 * math.atan2(sqrt(a), sqrt(1 - a)) Li_Boyu_Lab10_FA2014.ipynb: 0031 for j in xrange(M): Li_Boyu_Lab10_FA2014.ipynb: 0033 T = np.transpose(np.matrix(t)) Li_Boyu_Lab10_FA2014.ipynb: 0046 return lat, lon, deast, dnorth Li_Boyu_Lab10_FA2014.ipynb: 0052 ylabel(y_label) Li_Boyu_Lab10_FA2014.ipynb: 0055 tt = [] Li_Boyu_Lab10_FA2014.ipynb: 0061 plot2D(fig=fig, x=t, y=up, rxID=rxID, subp=133, m='.-', p_label='up', x_label='UT', y_label='Displacement [meters]') Li_Boyu_Lab10_FA2014.ipynb: 0063 end_time += 30 Li_Boyu_Lab10_FA2014.ipynb: 0069 Dt = np.transpose(D) Li_Boyu_Lab10_FA2014.ipynb: 0077 low = 5 - set1_n Li_Boyu_Lab10_FA2014.ipynb: 0084 std_mar10.append([std_east, std_north, std_up]) Li_Boyu_Lab10_FA2014.ipynb: 0087 return east, north, up, t Li_Boyu_Lab10_FA2014.ipynb: 0090 std_diff = abs(np.array(std_mar11[i]) - np.array(std_mar10[i])) Li_Boyu_Lab10_FA2014.ipynb: 0092 plot2D(fig=fig, x=north, y=up, rxID=rxID, subp=132, m='.', p_label='north-up',\ Li_Boyu_Lab10_FA2014.ipynb: 0111 std_mar11.append([std_east, std_north, std_up]) Li_Boyu_Lab10_FA2014.ipynb: 0112 def plot2D(fig, x, y, rxID, subp, m, p_label, x_label, y_label, auto=True): Li_Boyu_Lab10_FA2014.ipynb: 0114 d = [0] * M Li_Boyu_Lab10_FA2014.ipynb: 0120 if y_label: Li_Boyu_Lab10_FA2014.ipynb: 0122 std_north = np.std(north) Li_Boyu_Lab10_FA2014.ipynb: 0123 start_time = calendar.timegm(start_time.timetuple()) Li_Boyu_Lab10_FA2014.ipynb: 0134 end_time = start_time + 30 Li_Boyu_Lab10_FA2014.ipynb: 0139 print "Standard deviations for receiver %d:\n\teast: %f\n\tnorth: %f\n\tup: %f\n" % (rxID, std_east, std_north, std_up) Li_Boyu_Lab10_FA2014.ipynb: 0152 for i in xrange(M): Li_Boyu_Lab10_FA2014.ipynb: 0159 if not auto: Li_Boyu_Lab10_FA2014.ipynb: 0167 plot2D(fig=fig, x=east, y=north, rxID=rxID, subp=131, m='.', p_label='east-north',\ Li_Boyu_Lab10_FA2014.ipynb: 0169 plot(x, y, m, label=p_label) Li_Boyu_Lab10_FA2014.ipynb: 0173 ax = fig.add_subplot(subp) Li_Boyu_Lab10_FA2014.ipynb: 0174 lon = rxdata['lon'][0] Li_Boyu_Lab10_FA2014.ipynb: 0180 std_mar10 = [] Li_Boyu_Lab10_FA2014.ipynb: 0181 ax.axis([-4, 4, -4, 4]) Li_Boyu_Lab10_FA2014.ipynb: 0186 std_east = np.std(east) Li_Boyu_Lab10_FA2014.ipynb: 0188 if set1_n < 5: Li_Boyu_Lab10_FA2014.ipynb: 0189 std_mar11 = [] Li_Boyu_Lab10_FA2014.ipynb: 0193 D[i] = np.array([1.0, d[i]]) Li_Boyu_Lab10_FA2014.ipynb: 0194 t = [0] * M Li_Boyu_Lab10_FA2014.ipynb: 0196 for i in xrange(len(std_mar10)): Li_Boyu_Lab10_FA2014.ipynb: 0207 low = 1 Li_Boyu_Lab10_FA2014.ipynb: 0211 def getQueryData(rxID, tstart, tstop): Li_Boyu_Lab10_FA2014.ipynb: 0212 plot2D(fig=fig, x=t, y=east, rxID=rxID, subp=131, m='.-', p_label='east', x_label=None, y_label='Displacement [meters]') Li_Boyu_Lab10_FA2014.ipynb: 0218 print "receiver %d:\n\teast std difference = %f\n\tnorth std difference = %f\n\tup std difference = %f\n" % \ Li_Boyu_Lab10_FA2014.ipynb: 0227 ax.set_autoscale_on(False) Li_Boyu_Lab10_FA2014.ipynb: 0229 plot2D(fig=fig, x=up, y=east, rxID=rxID, subp=133, m='.', p_label='up-east',\ Li_Boyu_Lab10_FA2014.ipynb: 0235 set1_n = np.random.randint(low=low, high=high, size=1)[0] Li_Boyu_Lab10_FA2014.ipynb: 0250 # 2-D Scatter Plot Li_Boyu_Lab10_FA2014.ipynb: 0251 xlabel(x_label) Li_Boyu_Lab10_FA2014.ipynb: 0256 D = np.matrix(D) Li_Boyu_Lab10_FA2014.ipynb: 0258 plot2D(fig=fig, x=t, y=north, rxID=rxID, subp=132, m='.-', p_label='north', x_label=None, y_label='Displacement [meters]') Li_Boyu_Lab10_FA2014.ipynb: 0268 fig = figure(figsize=(15,5)) Li_Boyu_Lab10_FA2014.ipynb: 0274 D = np.zeros((M, 2), dtype='float64') Li_Boyu_Lab10_FA2014.ipynb: 0275 set2_n = np.random.randint(low=low, high=high, size=1)[0] feddersen_matthew_lab10.ipynb: 0024 std_up = np.std(up) feddersen_matthew_lab10.ipynb: 0122 std_north = np.std(north) feddersen_matthew_lab10.ipynb: 0186 std_east = np.std(east) manual_devasia_lab10.ipynb: 0012 receiver_list = [172, 901, 1162, 205] Survila_Kornelijus_Lab10_KINDALATE.ipynb: 0268 fig = figure(figsize=(15,5)) snyder_bradley_lab10.ipynb: 0097 count += 1 Tang_Yuhan_Lab10.ipynb: 0024 std_up = np.std(up) Tang_Yuhan_Lab10.ipynb: 0071 figure(figsize=(20,5)) Tang_Yuhan_Lab10.ipynb: 0122 std_north = np.std(north) Wang_Xinao_lab10.ipynb Ling_Wang-Jung_Lab10.ipynb: 0091 plt.show() yi-luen_wu_ECE398BD_Lab10_FA2014.ipynb: 0001 plt.tight_layout() manual_devasia_lab10.ipynb: 0001 plt.tight_layout() manual_devasia_lab10.ipynb: 0029 plt.subplot(131) manual_devasia_lab10.ipynb: 0061 plt.xlabel('UT') manual_devasia_lab10.ipynb: 0091 plt.show() manual_devasia_lab10.ipynb: 0100 plt.figure(figsize=(15,2)) manual_devasia_lab10.ipynb: 0129 plt.ylabel('Displacement [meters]') manual_devasia_lab10.ipynb: 0142 plt.subplot(133) manual_devasia_lab10.ipynb: 0164 plt.subplot(132) manual_devasia_lab10.ipynb: 0171 plt.legend(loc='best') McLaughlin_Sean_Lab10.ipynb: 0091 plt.show() TsungHan_Lei_lab10.ipynb: 0091 plt.show() Antonacci_Dominic_Lab10.ipynb: 0091 plt.show() Shih_ChienTung_Lab10.ipynb Maier_Christopher_Lab10_LATE.ipynb: 0086 rxID = 550 Hsu_HengWei_Lab10_FA2014.ipynb: 0032 pyplot.show() Hsu_HengWei_Lab10_FA2014.ipynb: 0035 ax = Axes3D(fig) Hsu_HengWei_Lab10_FA2014.ipynb: 0086 rxID = 550 Hsu_HengWei_Lab10_FA2014.ipynb: 0174 fig = pylab.figure() Ling_Wang-Jung_Lab10.ipynb: 0054 ax.set_zlabel('up') Ling_Wang-Jung_Lab10.ipynb: 0156 ax.set_ylabel('north') Ling_Wang-Jung_Lab10.ipynb: 0179 ax.set_xlabel('east') Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0010 A = np.matrix(A) Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0032 pyplot.show() Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0174 fig = pylab.figure() Vankayala_Anuraag_Lab10.ipynb: 0174 fig = pylab.figure() Bai_Hongyang_Lab10.ipynb: 0059 for i in range(4): Vashistha_siddhant_lab10.ipynb: 0026 rxID = [172, 901, 1162, 205] Vashistha_siddhant_lab10.ipynb: 0152 for i in rxID: Vashistha_siddhant_lab10.ipynb: 0182 rxdata = GEONET.get_rx_data(i, tstart, tstop) TsungHan_Lei_lab10.ipynb: 0035 ax = Axes3D(fig) TsungHan_Lei_lab10.ipynb: 0059 for i in range(4): TsungHan_Lei_lab10.ipynb: 0174 fig = pylab.figure() Tang_Yuhan_Lab10.ipynb: 0010 A = np.matrix(A) Tang_Yuhan_Lab10.ipynb: 0090 test = [] Antonacci_Dominic_Lab10.ipynb: 0086 rxID = 550 Vankayala_Anuraag_Lab10.ipynb Hsu_HengWei_Lab10_FA2014.ipynb: 0023 fig = pylab.figure() Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0023 fig = pylab.figure() Deng_Fei_Lab10.ipynb: 0013 std_up = np.std(up) Deng_Fei_Lab10.ipynb: 0082 std_north = np.std(north) Shih_ChienTung_Lab10.ipynb: 0023 fig = pylab.figure() Bai_Hongyang_Lab10.ipynb: 0062 rxdata = GEONET.get_rx_data(each, tstart, tstop) Li_Boyu_Lab10_FA2014.ipynb: 0013 std_up = np.std(up) Li_Boyu_Lab10_FA2014.ipynb: 0082 std_north = np.std(north) feddersen_matthew_lab10.ipynb: 0013 std_up = np.std(up) feddersen_matthew_lab10.ipynb: 0082 std_north = np.std(north) TsungHan_Lei_lab10.ipynb: 0023 fig = pylab.figure() Tang_Yuhan_Lab10.ipynb: 0013 std_up = np.std(up) Tang_Yuhan_Lab10.ipynb: 0082 std_north = np.std(north) Bai_Hongyang_Lab10.ipynb Ling_Wang-Jung_Lab10.ipynb: 0224 for i in range(5): Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0281 D = [] Wang_Hongru_Wang_Lab10.ipynb: 0050 return lat, lon, deast, dnorth Deng_Fei_Lab10.ipynb: 0050 return lat, lon, deast, dnorth Deng_Fei_Lab10.ipynb: 0096 return east, north, up, t Shih_ChienTung_Lab10.ipynb: 0078 for i in range(4): Vankayala_Anuraag_Lab10.ipynb: 0105 rxdata = GEONET.get_rx_data(each, tstart, tstop) Li_Boyu_Lab10_FA2014.ipynb: 0010 return result Li_Boyu_Lab10_FA2014.ipynb: 0050 return lat, lon, deast, dnorth Li_Boyu_Lab10_FA2014.ipynb: 0096 return east, north, up, t manual_devasia_lab10.ipynb: 0010 return result de Paula Vasconcelos_Thiago_Lab10.ipynb: 0224 for i in range(5): Survila_Kornelijus_Lab10_KINDALATE.ipynb: 0021 scatter(east, north) Survila_Kornelijus_Lab10_KINDALATE.ipynb: 0253 scatter(north, up) McLaughlin_Sean_Lab10.ipynb: 0070 tbefore = tafter TsungHan_Lei_lab10.ipynb: 0078 for i in range(4): TsungHan_Lei_lab10.ipynb: 0224 for i in range(5): Tang_Yuhan_Lab10.ipynb: 0211 sec = 0 crawford_melissa_macrawf2_lab10.ipynb LaBelle_Julia_lab10_LATE_FLU.ipynb: 0026 #rxID = 175 LaBelle_Julia_lab10_LATE_FLU.ipynb: 0109 #plt.gca().xaxis.set_major_formatter(dates.DateFormatter('%H:%M')) Wang_Hongru_Wang_Lab10.ipynb: 0051 print x Wang_Hongru_Wang_Lab10.ipynb: 0055 print y manual_devasia_lab10.ipynb: 0006 print '' Vashistha_siddhant_lab10.ipynb: 0017 plot(east, up , '.', label = 'east vs up') Vashistha_siddhant_lab10.ipynb: 0246 plot(north, up, '.', label = 'north vs up') Mao_Chengfeng_Lab10.ipynb: 0006 print '' snyder_bradley_lab10.ipynb: 0051 print x snyder_bradley_lab10.ipynb: 0109 #plt.gca().xaxis.set_major_formatter(dates.DateFormatter('%H:%M')) Li_Boyu_Lab10_FA2014.ipynb Wang_Hongru_Wang_Lab10.ipynb: 0046 return lat, lon, deast, dnorth Wang_Hongru_Wang_Lab10.ipynb: 0048 ylabel(y_label) Wang_Hongru_Wang_Lab10.ipynb: 0127 start_time = calendar.timegm(start_time.timetuple()) Wang_Hongru_Wang_Lab10.ipynb: 0180 ax = fig.add_subplot(subp) Wang_Hongru_Wang_Lab10.ipynb: 0190 ax.axis([-4, 4, -4, 4]) Wang_Hongru_Wang_Lab10.ipynb: 0239 ax.set_autoscale_on(False) Wang_Hongru_Wang_Lab10.ipynb: 0260 xlabel(x_label) Wang_Hongru_Wang_Lab10.ipynb: 0270 start_time = end_time Wang_Hongru_Wang_Lab10.ipynb: 0275 end_time += 30 Deng_Fei_Lab10.ipynb: 0008 end_time = start_time + 30 Deng_Fei_Lab10.ipynb: 0014 if x_label: Deng_Fei_Lab10.ipynb: 0015 east, north, up, t = getQueryData(rxID=rxID, tstart=tstart, tstop=tstop) Deng_Fei_Lab10.ipynb: 0021 lat = rxdata['lat'][0] Deng_Fei_Lab10.ipynb: 0025 std_up = np.std(up) Deng_Fei_Lab10.ipynb: 0028 c = 2 * math.atan2(sqrt(a), sqrt(1 - a)) Deng_Fei_Lab10.ipynb: 0029 for j in xrange(M): Deng_Fei_Lab10.ipynb: 0031 T = np.transpose(np.matrix(t)) Deng_Fei_Lab10.ipynb: 0036 t = [0] * M Deng_Fei_Lab10.ipynb: 0046 return lat, lon, deast, dnorth Deng_Fei_Lab10.ipynb: 0048 ylabel(y_label) Deng_Fei_Lab10.ipynb: 0051 tt = [] Deng_Fei_Lab10.ipynb: 0068 Dt = np.transpose(D) Deng_Fei_Lab10.ipynb: 0075 low = 5 - set1_n Deng_Fei_Lab10.ipynb: 0082 std_mar10.append([std_east, std_north, std_up]) Deng_Fei_Lab10.ipynb: 0085 return east, north, up, t Deng_Fei_Lab10.ipynb: 0090 std_diff = abs(np.array(std_mar11[i]) - np.array(std_mar10[i])) Deng_Fei_Lab10.ipynb: 0093 plot2D(fig=fig, x=north, y=up, rxID=rxID, subp=132, m='.', p_label='north-up',\ Deng_Fei_Lab10.ipynb: 0102 plot2D(fig=fig, x=t, y=up, rxID=rxID, subp=133, m='.-', p_label='up', x_label='UT', y_label='Displacement [meters]') Deng_Fei_Lab10.ipynb: 0113 std_mar11.append([std_east, std_north, std_up]) Deng_Fei_Lab10.ipynb: 0114 def plot2D(fig, x, y, rxID, subp, m, p_label, x_label, y_label, auto=True): Deng_Fei_Lab10.ipynb: 0115 d = [0] * M Deng_Fei_Lab10.ipynb: 0123 if y_label: Deng_Fei_Lab10.ipynb: 0125 std_north = np.std(north) Deng_Fei_Lab10.ipynb: 0127 start_time = calendar.timegm(start_time.timetuple()) Deng_Fei_Lab10.ipynb: 0143 print "Standard deviations for receiver %d:\n\teast: %f\n\tnorth: %f\n\tup: %f\n" % (rxID, std_east, std_north, std_up) Deng_Fei_Lab10.ipynb: 0155 for i in xrange(M): Deng_Fei_Lab10.ipynb: 0161 if not auto: Deng_Fei_Lab10.ipynb: 0168 lon = rxdata['lon'][0] Deng_Fei_Lab10.ipynb: 0171 plot2D(fig=fig, x=east, y=north, rxID=rxID, subp=131, m='.', p_label='east-north',\ Deng_Fei_Lab10.ipynb: 0173 plot(x, y, m, label=p_label) Deng_Fei_Lab10.ipynb: 0180 ax = fig.add_subplot(subp) Deng_Fei_Lab10.ipynb: 0183 std_mar10 = [] Deng_Fei_Lab10.ipynb: 0190 ax.axis([-4, 4, -4, 4]) Deng_Fei_Lab10.ipynb: 0196 std_east = np.std(east) Deng_Fei_Lab10.ipynb: 0198 if set1_n < 5: Deng_Fei_Lab10.ipynb: 0199 std_mar11 = [] Deng_Fei_Lab10.ipynb: 0203 D[i] = np.array([1.0, d[i]]) Deng_Fei_Lab10.ipynb: 0207 for i in xrange(len(std_mar10)): Deng_Fei_Lab10.ipynb: 0220 low = 1 Deng_Fei_Lab10.ipynb: 0224 def getQueryData(rxID, tstart, tstop): Deng_Fei_Lab10.ipynb: 0225 plot2D(fig=fig, x=t, y=east, rxID=rxID, subp=131, m='.-', p_label='east', x_label=None, y_label='Displacement [meters]') Deng_Fei_Lab10.ipynb: 0231 print "receiver %d:\n\teast std difference = %f\n\tnorth std difference = %f\n\tup std difference = %f\n" % \ Deng_Fei_Lab10.ipynb: 0239 ax.set_autoscale_on(False) Deng_Fei_Lab10.ipynb: 0241 plot2D(fig=fig, x=up, y=east, rxID=rxID, subp=133, m='.', p_label='up-east',\ Deng_Fei_Lab10.ipynb: 0248 set1_n = np.random.randint(low=low, high=high, size=1)[0] Deng_Fei_Lab10.ipynb: 0259 # 2-D Scatter Plot Deng_Fei_Lab10.ipynb: 0260 xlabel(x_label) Deng_Fei_Lab10.ipynb: 0264 D = np.matrix(D) Deng_Fei_Lab10.ipynb: 0267 plot2D(fig=fig, x=t, y=north, rxID=rxID, subp=132, m='.-', p_label='north', x_label=None, y_label='Displacement [meters]') Deng_Fei_Lab10.ipynb: 0270 start_time = end_time Deng_Fei_Lab10.ipynb: 0275 end_time += 30 Deng_Fei_Lab10.ipynb: 0277 fig = figure(figsize=(15,5)) Deng_Fei_Lab10.ipynb: 0285 D = np.zeros((M, 2), dtype='float64') Deng_Fei_Lab10.ipynb: 0286 set2_n = np.random.randint(low=low, high=high, size=1)[0] Vankayala_Anuraag_Lab10.ipynb: 0025 std_up = np.std(up) Vankayala_Anuraag_Lab10.ipynb: 0125 std_north = np.std(north) Bai_Hongyang_Lab10.ipynb: 0012 return result Bai_Hongyang_Lab10.ipynb: 0046 return lat, lon, deast, dnorth Bai_Hongyang_Lab10.ipynb: 0085 return east, north, up, t feddersen_matthew_lab10.ipynb: 0025 std_up = np.std(up) feddersen_matthew_lab10.ipynb: 0125 std_north = np.std(north) feddersen_matthew_lab10.ipynb: 0196 std_east = np.std(east) manual_devasia_lab10.ipynb: 0012 return result Survila_Kornelijus_Lab10_KINDALATE.ipynb: 0277 fig = figure(figsize=(15,5)) Tang_Yuhan_Lab10.ipynb: 0025 std_up = np.std(up) Tang_Yuhan_Lab10.ipynb: 0125 std_north = np.std(north) Tang_Yuhan_Lab10.ipynb: 0140 counter = 0 feddersen_matthew_lab10.ipynb yi-luen_wu_ECE398BD_Lab10_FA2014.ipynb: 0121 d = [] Deng_Fei_Lab10.ipynb: 0020 std_east = np.std(east) Deng_Fei_Lab10.ipynb: 0022 std_up = np.std(up) Deng_Fei_Lab10.ipynb: 0097 std_north = np.std(north) Vankayala_Anuraag_Lab10.ipynb: 0022 std_up = np.std(up) Vankayala_Anuraag_Lab10.ipynb: 0097 std_north = np.std(north) Li_Boyu_Lab10_FA2014.ipynb: 0020 std_east = np.std(east) Li_Boyu_Lab10_FA2014.ipynb: 0022 std_up = np.std(up) Li_Boyu_Lab10_FA2014.ipynb: 0097 std_north = np.std(north) Tang_Yuhan_Lab10.ipynb: 0022 std_up = np.std(up) Tang_Yuhan_Lab10.ipynb: 0097 std_north = np.std(north) Gleason_Cole_Lab10_LATE.ipynb manual_devasia_lab10.ipynb: 0088 %matplotlib inline Survila_Kornelijus_Lab10_KINDALATE.ipynb: 0112 show() McLaughlin_Sean_Lab10.ipynb: 0088 %matplotlib inline Antonacci_Dominic_Lab10.ipynb: 0125 ax.scatter(east, north, up) Lab10_CheatDetect.ipynb manual_devasia_lab10.ipynb Ling_Wang-Jung_Lab10.ipynb: 0108 plt.show() yi-luen_wu_ECE398BD_Lab10_FA2014.ipynb: 0001 plt.tight_layout() Deng_Fei_Lab10.ipynb: 0010 receiver_list = [172, 901, 1162, 205] Wang_Xinao_lab10.ipynb: 0001 plt.tight_layout() Wang_Xinao_lab10.ipynb: 0032 plt.subplot(131) Wang_Xinao_lab10.ipynb: 0070 plt.xlabel('UT') Wang_Xinao_lab10.ipynb: 0108 plt.show() Wang_Xinao_lab10.ipynb: 0115 plt.figure(figsize=(15,2)) Wang_Xinao_lab10.ipynb: 0148 plt.ylabel('Displacement [meters]') Wang_Xinao_lab10.ipynb: 0169 plt.subplot(133) Wang_Xinao_lab10.ipynb: 0200 plt.subplot(132) Wang_Xinao_lab10.ipynb: 0214 plt.legend(loc='best') Bai_Hongyang_Lab10.ipynb: 0009 return result crawford_melissa_macrawf2_lab10.ipynb: 0005 print '' Li_Boyu_Lab10_FA2014.ipynb: 0009 return result Gleason_Cole_Lab10_LATE.ipynb: 0078 %matplotlib inline McLaughlin_Sean_Lab10.ipynb: 0078 %matplotlib inline McLaughlin_Sean_Lab10.ipynb: 0108 plt.show() Mao_Chengfeng_Lab10.ipynb: 0005 print '' Mao_Chengfeng_Lab10.ipynb: 0092 dlon = lon2 - lon1 Mao_Chengfeng_Lab10.ipynb: 0101 a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2 Mao_Chengfeng_Lab10.ipynb: 0109 c = 2 * asin(sqrt(a)) Mao_Chengfeng_Lab10.ipynb: 0120 lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2]) Mao_Chengfeng_Lab10.ipynb: 0176 dlat = lat2 - lat1 Mao_Chengfeng_Lab10.ipynb: 0213 # 6367 km is the radius of the Earth TsungHan_Lei_lab10.ipynb: 0108 plt.show() Tang_Yuhan_Lab10.ipynb: 0172 deast = dlon * 111.0e3 * np.cos(lat) Antonacci_Dominic_Lab10.ipynb: 0108 plt.show() de Paula Vasconcelos_Thiago_Lab10.ipynb Maier_Christopher_Lab10_LATE.ipynb: 0053 rxID = 172 Maier_Christopher_Lab10_LATE.ipynb: 0054 rxID = 901 Maier_Christopher_Lab10_LATE.ipynb: 0242 rxID = 1162 Maier_Christopher_Lab10_LATE.ipynb: 0248 rxID = 205 Ling_Wang-Jung_Lab10.ipynb: 0053 rxID = 172 Ling_Wang-Jung_Lab10.ipynb: 0204 for i in range(5): Ling_Wang-Jung_Lab10.ipynb: 0242 rxID = 1162 Bai_Hongyang_Lab10.ipynb: 0204 for i in range(5): kabaghe_chuma_lab10.ipynb: 0020 xlabel('north displacement [meters]') kabaghe_chuma_lab10.ipynb: 0245 ylabel('east displacement [meters]') TsungHan_Lei_lab10.ipynb: 0204 for i in range(5): snyder_bradley_lab10.ipynb: 0242 rxID = 1162 snyder_bradley_lab10.ipynb: 0248 rxID = 205 Vashistha_siddhant_lab10.ipynb Shih_ChienTung_Lab10.ipynb: 0061 rxID = [172, 901, 1162, 205] Shih_ChienTung_Lab10.ipynb: 0153 for i in rxID: Shih_ChienTung_Lab10.ipynb: 0190 rxdata = GEONET.get_rx_data(i, tstart, tstop) crawford_melissa_macrawf2_lab10.ipynb: 0016 plot(east, up , '.', label = 'east vs up') crawford_melissa_macrawf2_lab10.ipynb: 0201 plot(north, up, '.', label = 'north vs up') Survila_Kornelijus_Lab10_KINDALATE.ipynb Deng_Fei_Lab10.ipynb: 0236 fig = figure(figsize=(15,5)) Bai_Hongyang_Lab10.ipynb: 0018 scatter(east, north) Bai_Hongyang_Lab10.ipynb: 0215 scatter(north, up) Li_Boyu_Lab10_FA2014.ipynb: 0236 fig = figure(figsize=(15,5)) Gleason_Cole_Lab10_LATE.ipynb: 0104 show() McLaughlin_Sean_Lab10.ipynb Maier_Christopher_Lab10_LATE.ipynb: 0056 ax = fig.add_subplot(111, projection='3d') Maier_Christopher_Lab10_LATE.ipynb: 0085 ax.set_xlabel('East') Maier_Christopher_Lab10_LATE.ipynb: 0154 ax.set_zlabel('Up') Maier_Christopher_Lab10_LATE.ipynb: 0184 ax.set_ylabel('North') Hsu_HengWei_Lab10_FA2014.ipynb: 0085 ax.set_xlabel('East') Hsu_HengWei_Lab10_FA2014.ipynb: 0154 ax.set_zlabel('Up') Hsu_HengWei_Lab10_FA2014.ipynb: 0184 ax.set_ylabel('North') Ling_Wang-Jung_Lab10.ipynb: 0091 plt.show() Wang_Hongru_Wang_Lab10.ipynb: 0168 for i in xrange(10): Wang_Xinao_lab10.ipynb: 0091 plt.show() Bai_Hongyang_Lab10.ipynb: 0051 tbefore = tafter Gleason_Cole_Lab10_LATE.ipynb: 0066 %matplotlib inline manual_devasia_lab10.ipynb: 0066 %matplotlib inline manual_devasia_lab10.ipynb: 0091 plt.show() TsungHan_Lei_lab10.ipynb: 0091 plt.show() Antonacci_Dominic_Lab10.ipynb: 0091 plt.show() kabaghe_chuma_lab10.ipynb de Paula Vasconcelos_Thiago_Lab10.ipynb: 0020 xlabel('north displacement [meters]') de Paula Vasconcelos_Thiago_Lab10.ipynb: 0248 ylabel('east displacement [meters]') Mao_Chengfeng_Lab10.ipynb crawford_melissa_macrawf2_lab10.ipynb: 0005 print '' manual_devasia_lab10.ipynb: 0005 print '' manual_devasia_lab10.ipynb: 0090 a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2 manual_devasia_lab10.ipynb: 0105 lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2]) manual_devasia_lab10.ipynb: 0135 dlon = lon2 - lon1 manual_devasia_lab10.ipynb: 0153 # 6367 km is the radius of the Earth manual_devasia_lab10.ipynb: 0154 dlat = lat2 - lat1 manual_devasia_lab10.ipynb: 0173 c = 2 * asin(sqrt(a)) TsungHan_Lei_lab10.ipynb: 0167 lon_list.append(lon_ref) TsungHan_Lei_lab10.ipynb: 0174 lat_list.append(lat_ref) TsungHan_Lei_lab10.ipynb Hsu_HengWei_Lab10_FA2014.ipynb: 0036 fig = pylab.figure() Hsu_HengWei_Lab10_FA2014.ipynb: 0049 ax = Axes3D(fig) Ling_Wang-Jung_Lab10.ipynb: 0112 plt.show() Ling_Wang-Jung_Lab10.ipynb: 0193 for i in range(5): Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0036 fig = pylab.figure() Wang_Xinao_lab10.ipynb: 0112 plt.show() Shih_ChienTung_Lab10.ipynb: 0036 fig = pylab.figure() Shih_ChienTung_Lab10.ipynb: 0049 ax = Axes3D(fig) Shih_ChienTung_Lab10.ipynb: 0075 for i in range(4): Vankayala_Anuraag_Lab10.ipynb: 0036 fig = pylab.figure() Bai_Hongyang_Lab10.ipynb: 0075 for i in range(4): Bai_Hongyang_Lab10.ipynb: 0193 for i in range(5): manual_devasia_lab10.ipynb: 0112 plt.show() de Paula Vasconcelos_Thiago_Lab10.ipynb: 0193 for i in range(5): McLaughlin_Sean_Lab10.ipynb: 0112 plt.show() Mao_Chengfeng_Lab10.ipynb: 0175 lon_list.append(lon_ref) Mao_Chengfeng_Lab10.ipynb: 0185 lat_list.append(lat_ref) Antonacci_Dominic_Lab10.ipynb: 0112 plt.show() snyder_bradley_lab10.ipynb LaBelle_Julia_lab10_LATE_FLU.ipynb: 0079 #plt.gca().xaxis.set_major_formatter(dates.DateFormatter('%H:%M')) Maier_Christopher_Lab10_LATE.ipynb: 0211 rxID = 1162 Maier_Christopher_Lab10_LATE.ipynb: 0219 rxID = 205 Ling_Wang-Jung_Lab10.ipynb: 0211 rxID = 1162 Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0222 print time Wang_Hongru_Wang_Lab10.ipynb: 0201 print x Deng_Fei_Lab10.ipynb: 0046 count += 1 crawford_melissa_macrawf2_lab10.ipynb: 0079 #plt.gca().xaxis.set_major_formatter(dates.DateFormatter('%H:%M')) crawford_melissa_macrawf2_lab10.ipynb: 0201 print x de Paula Vasconcelos_Thiago_Lab10.ipynb: 0211 rxID = 1162 de Paula Vasconcelos_Thiago_Lab10.ipynb: 0219 rxID = 205 Tang_Yuhan_Lab10.ipynb Maier_Christopher_Lab10_LATE.ipynb: 0198 fig = plt.figure() Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0014 A = np.matrix(A) Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0162 return cls Wang_Hongru_Wang_Lab10.ipynb: 0162 return cls Deng_Fei_Lab10.ipynb: 0022 std_up = np.std(up) Deng_Fei_Lab10.ipynb: 0069 figure(figsize=(20,5)) Deng_Fei_Lab10.ipynb: 0126 std_north = np.std(north) Shih_ChienTung_Lab10.ipynb: 0014 A = np.matrix(A) Shih_ChienTung_Lab10.ipynb: 0103 test = [] Vankayala_Anuraag_Lab10.ipynb: 0022 std_up = np.std(up) Vankayala_Anuraag_Lab10.ipynb: 0126 std_north = np.std(north) Bai_Hongyang_Lab10.ipynb: 0100 sec = 0 Li_Boyu_Lab10_FA2014.ipynb: 0022 std_up = np.std(up) Li_Boyu_Lab10_FA2014.ipynb: 0126 std_north = np.std(north) Li_Boyu_Lab10_FA2014.ipynb: 0140 counter = 0 feddersen_matthew_lab10.ipynb: 0022 std_up = np.std(up) feddersen_matthew_lab10.ipynb: 0126 std_north = np.std(north) manual_devasia_lab10.ipynb: 0180 deast = dlon * 111.0e3 * np.cos(lat) Antonacci_Dominic_Lab10.ipynb Maier_Christopher_Lab10_LATE.ipynb: 0078 rxID = 550 Hsu_HengWei_Lab10_FA2014.ipynb: 0078 rxID = 550 Ling_Wang-Jung_Lab10.ipynb: 0091 plt.show() Dandala_Kris_Lab10_FA2014_kris_dandala.ipynb: 0062 for rxID in rxID_list: Wang_Xinao_lab10.ipynb: 0091 plt.show() Shih_ChienTung_Lab10.ipynb: 0078 rxID = 550 Gleason_Cole_Lab10_LATE.ipynb: 0104 ax.scatter(east, north, up) manual_devasia_lab10.ipynb: 0091 plt.show() McLaughlin_Sean_Lab10.ipynb: 0091 plt.show() TsungHan_Lei_lab10.ipynb: 0091 plt.show()