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| 1 | """ |
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| 2 | Generate time series of nominated "gauges" read from project.gauge_filename. This |
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| 3 | is done by first running sww2csv_gauges on two different directories to make |
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| 4 | 'csv' files. Then running csv2timeseries_graphs detailing the two directories |
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| 5 | containing the csv file and produces one set of graphs in the 'output_dir' containing |
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| 6 | the details at the gauges for both these sww files. |
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| 7 | |
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| 8 | Note, this script will only work if pylab is installed on the platform |
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| 9 | |
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| 10 | """ |
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| 11 | |
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| 12 | from os import sep |
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| 13 | from anuga.abstract_2d_finite_volumes.util import sww2csv_gauges,csv2timeseries_graphs |
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| 14 | |
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| 15 | import project |
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| 16 | |
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| 17 | |
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| 18 | #timestamp='20080724_121200_run_trial_0.6_polyline_alpha0.1_kvanputt' |
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| 19 | #timestamp='20080724_161830_run_final_0.6_polyline_alpha0.1_kvanputt' |
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| 20 | timestamp1='20080815_103818_run_final_0_polyline_newExtent_kvanputt' |
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| 21 | timestamp2='20080815_103708_run_final_0.6_polyline_newExtent_kvanputt' |
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| 22 | |
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| 23 | timestamps = [timestamp1, timestamp2] |
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| 24 | for timestamp in timestamps: |
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| 25 | |
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| 26 | filename1=project.output_dir+timestamp+sep+project.scenario_name+'.sww' |
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| 27 | filename2=project.output_dir+timestamp+sep+'busselton_time_38340'+sep+project.scenario_name+'_time_38340_0.sww' |
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| 28 | |
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| 29 | filenames = [filename1, filename2] |
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| 30 | for filename in filenames: |
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| 31 | |
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| 32 | sww2csv_gauges(filename, |
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| 33 | project.gauges_dir_name, |
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| 34 | #project.gauges_dir_name2, |
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| 35 | quantities = ['stage','speed','depth','elevation'], |
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| 36 | verbose=True) |
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| 37 | |
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| 38 | |
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| 39 | |
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| 40 | |
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