コード例 #1
0
ファイル: addpole.py プロジェクト: skosukhin/yago
def setup_parser(parser):
    mandatory_args = parser.add_argument_group('mandatory arguments')
    mandatory_args.add_argument('--input-file',
                                help='name of netcdf file that contains data '
                                'that need to be modified',
                                required=True)
    mandatory_args.add_argument('--output-file',
                                help='output filename',
                                required=True)
    mandatory_args.add_argument('--lat-name',
                                help='name of 1D netcdf variable that '
                                'contains latitudes',
                                required=True)

    parser.add_argument('--lon-name',
                        help='name of 1D netcdf variable that '
                        'contains longitudes')
    string_list_parser = ListParser()
    parser.add_argument('--var-names',
                        help='\'%s\'-separated list of names of netcdf '
                        'variables that will be extended and saved '
                        'to the output file; if the list is empty than '
                        'only lat/lon coordinates will be extended; if '
                        'a couple of variables contain vector field '
                        'components aligned with meridians and parallels '
                        'than they should appear as a single entry in '
                        'the list, joined with the symbol \'+\' '
                        '(e.g. uwnd+vwnd)' % string_list_parser.separator,
                        type=string_list_parser)
    parser.add_argument('--add',
                        help='the Pole to add (default: %(default)s)',
                        choices=['north', 'south', 'both'],
                        default='north')
コード例 #2
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ファイル: overlap.py プロジェクト: skosukhin/yago
def setup_parser(parser):
    list_parser = ListParser()
    parser.add_argument('--input-files', type=list_parser,
                        required=True)
    parser.add_argument('--output-file', required=True)
    parser.add_argument('--data-var-names', type=list_parser,
                        required=True)
コード例 #3
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def setup_parser(parser):
    parser.add_argument('--input-file', required=True)
    parser.add_argument('--output-file', required=True)
    parser.add_argument('--appended-file', required=True)

    parser.add_argument('--appended-var-names',
                        type=ListParser(),
                        required=True)
コード例 #4
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def setup_parser(parser):
    list_parser = ListParser()
    parser.add_argument('--input-file', required=True)
    parser.add_argument('--data-var-names', required=True, type=list_parser)
    parser.add_argument('--mask-file', required=True)
    parser.add_argument('--output-file', required=True)
    parser.add_argument('--backup-values', type=list_parser)
    parser.add_argument('--max-iter-count',
                        type=np.intp,
                        default=_DEFAULT_MAX_ITER_COUNT)
コード例 #5
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ファイル: rotate.py プロジェクト: skosukhin/yago
def setup_parser(parser):
    mandatory_args = parser.add_argument_group('mandatory arguments')
    mandatory_args.add_argument('--input-file',
                                help='name of netcdf file that contains '
                                     'vector fields that need to be rotated',
                                required=True)
    mandatory_args.add_argument('--output-file',
                                help='output filename',
                                required=True)

    string_list_parser = ListParser()
    mandatory_args.add_argument('--var-names',
                                help='\'%s\'-separated list of names of '
                                     'netcdf variables that will be rotated '
                                     'and/or saved to the output file; if a '
                                     'couple of variables contain vector '
                                     'field components than they should '
                                     'appear as a single entry in the list, '
                                     'joined with the symbol \'+\' '
                                     '(e.g. uwnd+vwnd); at least one vector '
                                     'field must be specified'
                                     % string_list_parser.separator,
                                type=string_list_parser,
                                required=True)
    mandatory_args.add_argument('--angle-name',
                                help='name of netcdf variable that contains '
                                     'angles of rotation',
                                required=True)
    mandatory_args.add_argument('--angle-units',
                                help='units of the angles of rotation',
                                choices=['rad', 'deg'],)

    parser.add_argument('--angle-file',
                        help='name of netcdf file that contains angles of '
                             'rotation; if the parameter is not specified then'
                             ' the angles are expected in the input file')
    parser.add_argument('--dim-names',
                        help='\'%s\'-separated list of names of netcdf '
                             'dimensions that define subfields of the input '
                             'fields that need to be rotated; the dimensions '
                             'must define the same shape as the angle '
                             'variable has; if the parameter is not specified '
                             'then the names of dimensions of the angle '
                             'variable are used to identify the rotated '
                             'subfields'
                             % string_list_parser.separator,
                        type=string_list_parser)
コード例 #6
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def setup_parser(parser):
    mandatory_args = parser.add_argument_group('mandatory arguments')
    mandatory_args.add_argument('--input-file',
                                help='name of netcdf file that contains data '
                                'that need to be projected',
                                required=True)
    mandatory_args.add_argument('--grid-file',
                                help='name of netcdf file that contains '
                                'projection description',
                                required=True)
    mandatory_args.add_argument('--output-file',
                                help='output filename',
                                required=True)
    mandatory_args.add_argument('--lat-name',
                                help='name of a netcdf variable that '
                                'contains latitudes',
                                required=True)
    mandatory_args.add_argument('--lon-name',
                                help='name of a netcdf variable that '
                                'contains longitudes',
                                required=True)

    string_list_parser = ListParser()
    parser.add_argument('--var-names',
                        help='\'%s\'-separated list of names of netcdf '
                        'variables that will be projected and/or saved '
                        'to the output file; if the list is empty than '
                        'only lat/lon coordinates will be projected; if '
                        'a couple of variables contain vector field '
                        'components aligned with meridians and parallels '
                        'than they should appear as a single entry in '
                        'the list, joined with the symbol \'+\' '
                        '(e.g. uwnd+vwnd)' % string_list_parser.separator,
                        type=string_list_parser)
    parser.add_argument('--x-name',
                        help='name to be given to the netcdf variable that '
                        'contains x-coordinates of the applied '
                        'projection',
                        default=names.DIMVAR_X)
    parser.add_argument('--y-name',
                        help='name to be given to the netcdf variable that '
                        'contains y-coordinates of the applied '
                        'projection',
                        default=names.DIMVAR_Y)
コード例 #7
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def setup_parser(parser):
    mandatory_args = parser.add_argument_group('mandatory arguments')
    mandatory_args.add_argument('--input-file',
                                help='name of netcdf file that contains '
                                     'fields that need to be interpolated',
                                required=True)
    mandatory_args.add_argument('--output-file',
                                help='output filename',
                                required=True)
    mandatory_args.add_argument('--weight-file',
                                help='name of netcdf file that interpolation '
                                     'weights will be read from',
                                required=True)
    list_parser = ListParser()
    mandatory_args.add_argument('--var-names',
                                help='\'%s\'-separated list of names of '
                                     'netcdf variables that need to be '
                                     'interpolated'
                                     % list_parser.separator,
                                type=list_parser)
コード例 #8
0
ファイル: gengrid.py プロジェクト: skosukhin/yago
def setup_parser(parser):
    mandatory_args = parser.add_argument_group('mandatory arguments')
    mandatory_args.add_argument('--proj-name',
                                help='name of projection to be used for grid '
                                'generation',
                                choices=projections.keys(),
                                required=True)
    mandatory_args.add_argument('--orig-lat',
                                help='latitude (in degrees) of the projection '
                                'center',
                                type=np.float64,
                                required=True)
    mandatory_args.add_argument('--orig-lon',
                                help='longitude (in degrees) of the '
                                'projection center',
                                type=np.float64,
                                required=True)
    mandatory_args.add_argument('--x-start',
                                help='x-coordinate (in meters) of the first '
                                'grid point (after false easting)',
                                type=np.float64,
                                required=True)
    mandatory_args.add_argument('--x-count',
                                help='number of grid points along x-axis',
                                type=parse_pos_intp,
                                required=True)
    mandatory_args.add_argument('--x-step',
                                help='distance (in meters) between two '
                                'consecutive grid points along x-axis',
                                type=parse_pos_float,
                                required=True)
    mandatory_args.add_argument('--y-start',
                                help='y-coordinate (in meters) of the first '
                                'grid point (after false northing)',
                                type=np.float64,
                                required=True)
    mandatory_args.add_argument('--y-count',
                                help='number of grid points along y-axis',
                                type=parse_pos_intp,
                                required=True)
    mandatory_args.add_argument('--y-step',
                                help='distance (in meters) between two '
                                'consecutive grid points along y-axis',
                                type=parse_pos_float,
                                required=True)
    mandatory_args.add_argument('--output-file',
                                help='output filename',
                                required=True)

    float_list_parser = ListParser(np.float64)
    true_scale_help = '\'%s\'-separated list of projection\'s latitudes (in ' \
                      'degrees) of true scale; number of values in the list ' \
                      'depend on the projection to be used; if the list is ' \
                      'empty than the default values that depend on the ' \
                      'projection are used (default: %%(default)s)' \
                      % float_list_parser.separator
    parser.add_argument('--true-scale-lats',
                        help=true_scale_help,
                        type=float_list_parser,
                        default=[])
    parser.add_argument('--earth-radius',
                        help='earth radius (in meters) to be used for '
                        'projection (default: %(default)s)',
                        type=np.float64,
                        default=_DEFAULT_EARTH_RADIUS)
    parser.add_argument('--adjust-angle',
                        help='optional angle of rotation for grid adjustment '
                        '(default: %(default)s)',
                        type=np.float64,
                        default=np.float64(0.0))
    parser.add_argument('--easting',
                        help='value added to all x-coordinates '
                        '(false easting)',
                        type=np.float64,
                        default=np.float64(0))
    parser.add_argument('--northing',
                        help='value added to all y-coordinates '
                        '(false northing)',
                        type=np.float64,
                        default=np.float64(0))
コード例 #9
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def setup_parser(parser):
    mandatory_args = parser.add_argument_group('mandatory arguments')
    mandatory_args.add_argument('--input-file',
                                help='name of the input netcdf file',
                                required=True)
    mandatory_args.add_argument('--output-file',
                                help='name of the output netcdf file',
                                required=True)
    string_list_parser = ListParser()
    mandatory_args.add_argument('--var-names',
                                help='\'%s\'-separated list of names of '
                                'netcdf variables that will be saved to '
                                'the output file' %
                                string_list_parser.separator,
                                type=string_list_parser,
                                action=AddToSetAction,
                                required=True)
    operation_args = parser.add_argument_group('operations')
    string_slice_parser = PairParser(None, parse_slice)
    operation_args.add_argument('--slice',
                                help='\'%s\'-separated pair of strings where '
                                'the first string is a name of a netcdf '
                                'dimension and the second one is a '
                                'python style slicing string that will '
                                'be applied to select a subset of values '
                                'along the dimension (e.g. if '
                                'dimension\'s name is \'lat\' and all '
                                'but last values along this dimension '
                                'are required than the value of this '
                                'argument should be \'lat::-1\'); this '
                                'argument can be specified multiple '
                                'times to slice multiple dimensions' %
                                string_slice_parser.separator,
                                type=string_slice_parser,
                                action=AddToDictAction,
                                dest='slice_dict')
    int_list_parser = ListParser(np.intp, ',')
    string_int_list_parser = PairParser(None, int_list_parser)
    operation_args.add_argument(
        '--exclude-indices',
        help='\'%s\'-separated pair of strings where '
        'the first string is a name of a netcdf '
        'dimension and the second one is a '
        '\'%s\'-separated list of indices '
        '(starting from 0) that will NOT be '
        'saved to the output file; this argument '
        'can be specified multiple times to '
        'exclude indices from multiple dimensions' %
        (string_int_list_parser.separator, int_list_parser.separator),
        type=string_int_list_parser,
        action=AddToDictAction,
        dest='exclude_dict')
    string_int_parser = PairParser(None, np.int64)
    operation_args.add_argument('--min-val',
                                help='\'%s\'-separated pair of a string and a '
                                'value, where the string is a common '
                                'name for a netcdf dimension and a 1D '
                                'netcdf variable specified along this '
                                'dimension, and the value is the minimum '
                                'threshold for the variable\'s values '
                                'that will be saved to the output '
                                '(indices that correspond to the values '
                                'that are less than the threshold will '
                                'be excluded from the dimension); this '
                                'argument can be specified multiple '
                                'times to exclude indices from multiple '
                                'dimensions' % string_int_parser.separator,
                                type=string_int_parser,
                                action=AddToDictAction,
                                dest='min_dict')
    operation_args.add_argument('--max-val',
                                help='\'%s\'-separated pair of a string and a '
                                'value, where the string is a common '
                                'name for a netcdf dimension and a 1D '
                                'netcdf variable specified along this '
                                'dimension, and the value is the maximum '
                                'threshold for the variable\'s values '
                                'that will be saved to the output '
                                '(indices that correspond to the values '
                                'that are greater than the threshold '
                                'will be excluded from the dimension); '
                                'this argument can be specified multiple '
                                'times to exclude indices from multiple '
                                'dimensions' % string_int_parser.separator,
                                type=string_int_parser,
                                action=AddToDictAction,
                                dest='max_dict')
    time_parser = DateTimeParser()
    help_substring = time_parser.fmt.replace('%', '%%')
    string_time_parser = PairParser(None, time_parser)
    operation_args.add_argument('--min-time',
                                help='\'%s\'-separated pair of a string and a '
                                'timestamp in the format \'%s\', where '
                                'the string is a common name for a '
                                'netcdf dimension and a 1D netcdf '
                                'variable specified along this '
                                'dimension, and the timestamp is the '
                                'minimum threshold for the variable\'s '
                                'values that will be saved to the output '
                                '(indices that correspond to the values '
                                'that are less than the threshold will '
                                'be excluded from the dimension); this '
                                'argument can be specified multiple '
                                'times to exclude indices from multiple '
                                'dimensions' %
                                (string_time_parser.separator, help_substring),
                                type=string_time_parser,
                                action=AddToDictAction,
                                dest='min_dict')
    operation_args.add_argument('--max-time',
                                help='\'%s\'-separated pair of a string and a '
                                'timestamp in the format \'%s\', where '
                                'the string is a common name for a '
                                'netcdf dimension and a 1D netcdf '
                                'variable specified along this '
                                'dimension, and the timestamp is the '
                                'maximum threshold for the variable\'s '
                                'values that will be saved to the output '
                                '(indices that correspond to the values '
                                'that are greater than the threshold '
                                'will be excluded from the dimension); '
                                'this argument can be specified multiple '
                                'times to exclude indices from multiple '
                                'dimensions' %
                                (string_time_parser.separator, help_substring),
                                type=string_time_parser,
                                action=AddToDictAction,
                                dest='max_dict')