Changeset 5426
- Timestamp:
- Jun 25, 2008, 9:27:56 AM (15 years ago)
- Location:
- anuga_work/development/Hinwood_2008
- Files:
-
- 3 edited
Legend:
- Unmodified
- Added
- Removed
-
anuga_work/development/Hinwood_2008/plot.py
r5413 r5426 5 5 from os import sep 6 6 import project 7 from time import localtime, strftime 7 8 8 9 def plot_compare_csv(location_sim, file_sim, location_exp, file_exp, … … 83 84 from scenarios import scenarios 84 85 outputdir_tag = "_good_tri_area_0.01_A" 85 #scenarios = [scenarios[0]] # !!!!!!!!!!!!!!!!!!!!!! 86 #scenarios = scenarios[1] # !!!!!!!!!!!!!!!!!!!!!! 87 scenarios = [scenarios[5]] # !!!!!!!!!!!!!!!!!!!!!! 86 88 # Supported formats: emf, eps, pdf, png, ps, raw, rgba, svg, svgz. 87 89 plot_type = ".pdf" … … 99 101 save_as_list, 100 102 run_data['gauge_x']): 103 time_date = strftime('plot date: %d/%m/%Y Time: %H:%M:%S', 104 localtime()) 101 105 plot_title = "Scenario: " + outputdir_name + "\n" + \ 102 "X Gauge (m):" + str(gauge) 106 "X Gauge (m):" + str(gauge) + " " + time_date 107 103 108 print "Doing ", plot_title 104 109 plot_compare_csv(location_sim=loc_sim, -
anuga_work/development/Hinwood_2008/run_dam.py
r5413 r5426 250 250 251 251 from scenarios import scenarios 252 253 run_type = 5 254 for run_data in [scenarios[0]]: 252 253 254 #4 is 0.01 5 is 0.001 255 run_type = 4 256 for run_data in [scenarios[5]]: 255 257 main( run_data['scenario_id'] + '_boundary.tsm' , run_data, 256 258 run_type = run_type, -
anuga_work/development/Hinwood_2008/slope.py
r5413 r5426 6 6 import project 7 7 #from scipy import arange 8 from Numeric import arange 8 9 from Numeric import arange, array, zeros, Float 10 from pylab import meshgrid, cm, contourf, contour, ion, plot, xlabel, \ 11 ylabel, close, legend, savefig, title, figure ,colorbar, show #, cbar 9 12 10 13 from anuga.fit_interpolate.interpolate import interpolate_sww2csv 14 from anuga.shallow_water.data_manager import csv2dict 11 15 16 def load_depths(slope_file): 17 #slope, _ = csv2dict(file_sim) 18 19 # Read the depth file 20 dfid = open(slope_file) 21 lines = dfid.readlines() 22 dfid.close() 12 23 13 #------------------------------------------------------------- 14 if __name__ == "__main__": 15 """ 16 """ 24 title = lines.pop(0) 25 n_time = len(lines) 26 n_sensors = len(lines[0].split(','))-1 # -1 to remove time 27 dtimes = zeros(n_time, Float) #Time 28 depths = zeros(n_time, Float) # 29 sensors = zeros((n_time,n_sensors), Float) 30 depth_locations = title.split(',') #(',') 31 depth_locations.pop(0) # remove 'time' 32 # !!!! -3 assumes a 33 depths = [float(j.split(':')[0]) for j in depth_locations] 34 35 for i, line in enumerate(lines): 36 fields = line.split(',') #(',') 37 fields = [float(j) for j in fields] 38 dtimes[i] = fields[0] 39 sensors[i] = fields[1:] # 1: to remove time 40 41 #print "dtimes",dtimes 42 #print "depths", depths 43 #print "sensors", sensors 44 return dtimes, depths, sensors 45 46 def load_slopes(slope_file): 47 times, depths, sensors = load_depths(slope_file) 48 n_slope_locations = len(depths)-1 49 n_time = len(times) 50 slope_locations = zeros(n_slope_locations, Float) # 51 slopes = zeros((n_time,n_slope_locations), Float) 52 53 # An array of the sensor spacing values 54 delta_depths = zeros(n_slope_locations, Float) 55 56 for i in arange(n_slope_locations): 57 slope_locations[i] = (depths[i+1] + depths[i+1])/2. 58 delta_depths[i] = (depths[i+1] - depths[i]) 59 60 for j in arange(n_time): 61 for i in arange(n_slope_locations): 62 slopes[j,i] = (sensors[j,i+1] - sensors[j,i])/delta_depths[i] 63 64 return times, slope_locations, slopes 65 66 def graph_slopes(slope_file): 67 origin = 'lower' 68 times, slope_locations, slopes = load_slopes(slope_file) 69 X, Y = meshgrid(times, slope_locations) 70 #print "X", times 71 #print "Y", slope_locations 72 #print "slopes", slopes 73 CS = contourf(slope_locations, times, slopes, 10, # [-1, -0.1, 0, 0.1], 74 #alpha=0.5, 75 cmap=cm.bone, 76 origin=origin) 77 78 #CS2 = contour(slope_locations, times, slopes, CS.levels[::2], 79 # colors = 'r', 80 # origin=origin, 81 # hold='on') 82 83 title('slope') 84 xlabel('x location') 85 ylabel('Time, seconds') 86 87 # Make a colorbar for the ContourSet returned by the contourf call. 88 cbar = colorbar(CS) 89 cbar.ax.set_ylabel('verbosity coefficient') 90 # Add the contour line levels to the colorbar 91 #cbar.add_lines(CS2) 92 93 figure() 94 show() 95 96 def auto_graph_slopes(): 17 97 from scenarios import scenarios 18 98 19 99 outputdir_tag = "_good_tri_area_0.01_A" 20 scenarios = [scenarios[1]] # !!!!!!!!!!!!!!!!!!!!!! 100 scenarios = [scenarios[1]] # !!!!!!!!!!!!!!!!!!!!!! 101 for run_data in scenarios: 102 id = run_data['scenario_id'] 103 outputdir_name = id + outputdir_tag 104 pro_instance = project.Project(['data','flumes','Hinwood_2008'], 105 outputdir_name=outputdir_name) 106 end = id + ".csv" 107 slope_file = pro_instance.outputdir + "slope_depth_" + end 108 graph_slopes(slope_file) 109 110 def gauges_for_slope(): 111 from scenarios import scenarios 112 113 outputdir_tag = "_good_tri_area_0.01_A" 114 scenarios = [scenarios[1]] # !!!!!!!!!!!!!!!!!!!!!! 115 dx = 0.001 21 116 for run_data in scenarios: 22 117 point_x = arange(run_data['start_slope_x'], 23 118 run_data['finish_slope_x'], 24 0.01).tolist()119 dx).tolist() 25 120 flume_y_middle = 0.5 26 121 points = [] … … 36 131 interpolate_sww2csv(pro_instance.outputdir + basename +".sww", 37 132 points, 38 pro_instance.outputdir + " depth_" + end,39 pro_instance.outputdir + " velocity_x_" + end,40 pro_instance.outputdir + " velocity_y_" + end)133 pro_instance.outputdir + "slope_depth_" + end, 134 pro_instance.outputdir + "slope_velocity_x_" + end, 135 pro_instance.outputdir + "slope_velocity_y_" + end) 41 136 42 137 138 43 139 140 #------------------------------------------------------------- 141 if __name__ == "__main__": 142 """ 143 """ 144 auto_graph_slopes() 145
Note: See TracChangeset
for help on using the changeset viewer.