How to use the cligj.sequence_opt function in cligj

To help you get started, we’ve selected a few cligj examples, based on popular ways it is used in public projects.

Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.

github mapbox / cligj / tests / test_cli.py View on Github external
    @cligj.sequence_opt
    def cmd(sequence):
        click.echo("%s" % sequence)
github perrygeo / python-rasterstats / src / rasterstats / cli.py View on Github external
@cligj.sequence_opt
@cligj.use_rs_opt
def zonalstats(features, raster, all_touched, band, categorical,
               indent, info, nodata, prefix, stats, sequence, use_rs):
    '''zonalstats generates summary statistics of geospatial raster datasets
    based on vector features.

    The input arguments to zonalstats should be valid GeoJSON Features. (see cligj)

    The output GeoJSON will be mostly unchanged but have additional properties per feature
    describing the summary statistics (min, max, mean, etc.) of the underlying raster dataset.

    The raster is specified by the required -r/--raster argument.

    Example, calculate rainfall stats for each state and output to file:

    \b
github mapbox / geojson-quirks / geojson_quirks / scripts / cli.py View on Github external
@cligj.sequence_opt
@cligj.use_rs_opt
@click.option("--gather-properties", default=False, is_flag=True,
              help="any non-standard keys will be moved to Features.properties")
@click.option("--flatten", default=False, is_flag=True,
              help="flatten Feature.properties")
@click.option("--string-id", default=False, is_flag=True,
              help="casts the Feature.id (if exists) to a string")
@click.option("--add-id", default=False, is_flag=True,
              help="add an auto-incrementing integer as the Feature.id")
@click.option("--add-uuid", default=False, is_flag=True,
              help="add a unique string identifier as the Feature.id")
@click.option("--add-id-from-property", nargs=1, default=False,
              help="add a Feature.id from specified Feature.properties object")
@click.option("--override-id", default=False, is_flag=True,
              help="Allow options that manipulate Feature.id to overwrite")
@click.option("--type-first", default=False, is_flag=True,
github mapbox / supermercado / supermercado / scripts / cli.py View on Github external
@cligj.sequence_opt
@click.argument('zoom', type=int)
def burn(features, sequence, zoom):
    """
    Burn a stream of GeoJSONs into a output stream of the tiles they intersect for a given zoom.
    """
    features = [f for f in super_utils.filter_polygons(features)]

    tiles = burntiles.burn(features, zoom)
    for t in tiles:
        click.echo(t.tolist())
github mapbox / rasterio / rasterio / rio / rio.py View on Github external
@sequence_opt
@use_rs_opt
@geojson_type_collection_opt(True)
@geojson_type_feature_opt(False)
@geojson_type_bbox_opt(False)
@click.pass_context
def bounds(ctx, input, precision, indent, compact, projection, sequence,
        use_rs, geojson_type):
    """Write bounding boxes to stdout as GeoJSON for use with, e.g.,
    geojsonio

      $ rio bounds *.tif | geojsonio

    """
    import rasterio.warp
    verbosity = (ctx.obj and ctx.obj.get('verbosity')) or 1
    logger = logging.getLogger('rio')
github mapbox / rasterio / rasterio / rio / blocks.py View on Github external
@cligj.sequence_opt
@cligj.use_rs_opt
@click.option(
    '--bidx', type=click.INT, default=0,
    help="Index of the band that is the source of shapes.")
@click.pass_context
def blocks(
        ctx, input, output, precision, indent, compact, projection, sequence,
        use_rs, bidx):

    """Write dataset blocks as GeoJSON features.

    This command writes features describing a raster's internal blocks, which
    are used directly for raster I/O.  These features can be used to visualize
    how a windowed operation would operate using those blocks.

    Output features have two JSON encoded properties: block and window.  Block
github mapbox / rasterio / rasterio / rio / features.py View on Github external
@sequence_opt
@use_rs_opt
@geojson_type_feature_opt(True)
@geojson_type_bbox_opt(False)
@click.option('--band/--mask', default=True,
              help="Choose to extract from a band (the default) or a mask.")
@click.option('--bidx', 'bandidx', type=int, default=None,
              help="Index of the band or mask that is the source of shapes.")
@click.option('--sampling', type=int, default=1,
              help="Inverse of the sampling fraction; "
                   "a value of 10 decimates.")
@click.option('--with-nodata/--without-nodata', default=False,
              help="Include or do not include (the default) nodata regions.")
@click.option('--as-mask/--not-as-mask', default=False,
              help="Interpret a band as a mask and output only one class of "
                   "valid data shapes.")
@click.pass_context
github perrygeo / python-rasterstats / src / rasterstats / cli.py View on Github external
@cligj.sequence_opt
@cligj.use_rs_opt
def pointquery(features, raster, band, indent, nodata,
               interpolate, property_name, sequence, use_rs):
    """
    Queries the raster values at the points of the input GeoJSON Features.
    The raster values are added to the features properties and output as GeoJSON
    Feature Collection.

    If the Features are Points, the point geometery is used.
    For other Feauture types, all of the verticies of the geometry will be queried.
    For example, you can provide a linestring and get the profile along the line
    if the verticies are spaced properly.

    You can use either bilinear (default) or nearest neighbor interpolation.
    """
github mapbox / rasterio / rasterio / rio / features.py View on Github external
@sequence_opt
@use_rs_opt
@geojson_type_collection_opt(True)
@geojson_type_feature_opt(False)
@geojson_type_bbox_opt(False)
@click.pass_context
def bounds(ctx, input, precision, indent, compact, projection, dst_crs,
           sequence, use_rs, geojson_type):
    """Write bounding boxes to stdout as GeoJSON for use with, e.g.,
    geojsonio

      $ rio bounds *.tif | geojsonio
    
    If a destination crs is passed via dst_crs, it takes precedence over
    the projection parameter.
    """
    import rasterio.warp