Example #1
0
parser.add_argument(
    "-fp",
    '--full_path',
    action="store_true",
    help='provides full path to program: used if run as script')

args = parser.parse_args()

#read in WPAK data file
ncfile = args.DataPath
df = EcoFOCI_netCDF(ncfile)
global_atts = df.get_global_atts()
vars_dic = df.get_vars()
ncdata = df.ncreadfile_dic()
df.close()
nctime = get_UDUNITS(EPIC2Datetime(ncdata['time'], ncdata['time2']),
                     'days since 0001-1-1') + 1.0

# filter data to convert 1e35 -> np.nan
for keynames in ncdata.keys():
    if keynames not in [
            'time', 'time2', 'lat', 'lon', 'latitude', 'longitude', 'depth',
            'dep'
    ]:
        ncdata[keynames][np.where(ncdata[keynames][:, 0, 0, 0] >= 1e30), 0, 0,
                         0] = np.nan

p1 = TimeseriesWPAK(stylesheet='seaborn-poster', labelsize=16)
try:
    t1 = p1.add_title(mooringid=global_atts['MOORING'],
                      lat=ncdata['lat'][0],
                      lon=ncdata['lon'][0],
            def set_year_odd(x):
                if x.year % 2 == 0:
                    return x.replace(year=2000)
                elif x.year % 2 == 1:
                    return x.replace(year=1999)

            if nctime[0].year % 2 == 0:
                nctime = [set_year_even(x) for x in nctime]
                start_year = 'Even'
            elif nctime[0].year % 2 == 1:
                nctime = [set_year_odd(x) for x in nctime]
                start_year = 'Odd'
            #nctime = get_UDUNITS(nctime,'days since 0001-01-01') + 1.
        else:
            nctime = get_UDUNITS(
                EPIC2Datetime(ncdata['time'], ncdata['time2']),
                'days since 0001-01-01') + 1.

        #find and replace missing values with nans so they don't plot
        try:
            ncdata[plot_var][np.where(ncdata[plot_var] > 1e30)] = np.nan
            try:
                label_thin = label_thin + [label[ind]]
            except TypeError:
                label_thin = label_thin + ['']

        except KeyError:
            pass

        #Plot data
        #plt.hold(True)
    featureType=''

if args.operation in ['CF','CF Convert','CF_Convert']:
    #generates near file
    if args.is2D:

        df = EcoFOCI_netCDF( args.sourcefile )
        global_atts = df.get_global_atts()
        vars_dic = df.get_vars()
        ncdata = df.ncreadfile_dic()

        #Convert two word EPIC time to python datetime.datetime representation and then format for CF standards
        dt_from_epic =  EPIC2Datetime(ncdata['time'], ncdata['time2'])
        if args.time_since_str:
            time_since_str = " ".join(args.time_since_str)
            CF_time = get_UDUNITS(dt_from_epic,time_since_str)
        else:
            time_since_str = 'days since 1900-01-01'
            CF_time = get_UDUNITS(dt_from_epic,time_since_str)

        try:
            History=global_atts['History']
        except:
            History=''
        
        ###build/copy attributes and fill if empty
        try:
            data_cmnt = global_atts['DATA_CMNT']
        except:
            data_cmnt = ''