Rev | Line | |
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[5066] | 1 | """ |
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| 2 | Generate time series of nominated "gauges" |
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| 3 | Note, this script will only work if pylab is installed on the platform |
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| 4 | |
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| 5 | Inputs: |
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| 6 | |
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| 7 | production dirs: dictionary of production directories with a |
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| 8 | association to that simulation run, eg high tide, |
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| 9 | magnitude, etc. |
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| 10 | |
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| 11 | Outputs: |
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| 12 | |
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| 13 | * figures stored in same directory as sww file |
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| 14 | * time series data stored in csv files in same directory as sww file |
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| 15 | * elevation at nominated gauges (elev_output) |
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| 16 | """ |
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| 17 | |
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| 18 | from os import getcwd, sep, altsep, mkdir, access, F_OK, remove |
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| 19 | from anuga.abstract_2d_finite_volumes.util import sww2timeseries |
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| 20 | |
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| 21 | # nominate directory location of sww file with associated attribute |
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| 22 | production_dirs = {'': 'gradual_lgflat'} |
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| 23 | |
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| 24 | # Generate figures |
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| 25 | swwfiles = {} |
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| 26 | for label_id in production_dirs.keys(): |
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| 27 | file_loc = label_id |
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| 28 | swwfile = file_loc + 'gradual_lgflat'+'.sww' |
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| 29 | swwfiles[swwfile] = label_id |
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| 30 | print 'hello', swwfile |
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| 31 | texname, elev_output = sww2timeseries(swwfiles, |
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| 32 | sep+'d'+sep+'cit'+sep+'1'+sep+'cit'+sep+'natural_hazard_impacts'+sep+'inundation'+sep+'sandpits'+sep+'jbrowning'+sep+'anuga'+sep+'anuga_work'+sep+'development'+sep+'idealised_bathymetry_study'+sep+'final_models'+sep+'general'+sep+'gauges_lgflat.csv', |
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| 33 | production_dirs, |
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| 34 | report = False, |
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| 35 | reportname = '', |
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| 36 | plot_quantity = ['stage', 'speed'], |
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| 37 | generate_fig = False, |
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| 38 | surface = False, |
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| 39 | time_min = None, |
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| 40 | time_max = None, |
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| 41 | #time_unit = 'secs', |
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| 42 | title_on = True, |
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| 43 | verbose = True) |
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| 44 | |
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| 45 | |
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