rio_tiler.io.rasterio

rio_tiler.io.rasterio

rio_tiler.io.rasterio: rio-tiler reader built on top Rasterio

ImageReader

Bases: Reader

Non Geo Image Reader

maxzoom property

maxzoom

Return dataset maxzoom.

minzoom property

minzoom

Return dataset minzoom.

__attrs_post_init__

__attrs_post_init__()

Define _kwargs, open dataset and get info.

feature

feature(shape: Dict, indexes: Optional[Indexes] = None, expression: Optional[str] = None, max_size: Optional[int] = None, height: Optional[int] = None, width: Optional[int] = None, out_dtype: Optional[Union[str, dtype]] = None, resampling_method: RIOResampling = 'nearest', unscale: bool = False, post_process: Optional[Callable[[MaskedArray], MaskedArray]] = None) -> ImageData

Read part of an Image defined by a geojson feature.

part

part(bbox: BBox, indexes: Optional[Union[int, Sequence]] = None, expression: Optional[str] = None, max_size: Optional[int] = None, height: Optional[int] = None, width: Optional[int] = None, out_dtype: Optional[Union[str, dtype]] = None, resampling_method: RIOResampling = 'nearest', unscale: bool = False, post_process: Optional[Callable[[MaskedArray], MaskedArray]] = None) -> ImageData

Read part of an Image.

Parameters:

• bbox (tuple) –

  Output bounds (left, bottom, right, top).

• indexes (sequence of int or int, default: None ) –

  Band indexes.

• expression (str, default: None ) –

  rio-tiler expression (e.g. b1/b2+b3).

• max_size (int, default: None ) –

  Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio.

• height (int, default: None ) –

  Output height of the array.

• width (int, default: None ) –

  Output width of the array.

• resampling_method (RIOResampling, default: 'nearest' ) –

  RasterIO resampling algorithm. Defaults to nearest.

• unscale (bool, default: False ) –

  Apply 'scales' and 'offsets' on output data value. Defaults to False.

• post_process (callable, default: None ) –

  Function to apply on output data and mask values.

Returns:

• ImageData –

  rio_tiler.models.ImageData: ImageData instance with data, mask and input spatial info.

point

point(x: float, y: float, indexes: Optional[Indexes] = None, expression: Optional[str] = None, out_dtype: Optional[Union[str, dtype]] = None, resampling_method: RIOResampling = 'nearest', unscale: bool = False, post_process: Optional[Callable[[MaskedArray], MaskedArray]] = None) -> PointData

Read a pixel value from an Image.

Parameters:

• x (float) –

  X coordinate.

• y (float) –

  Y coordinate.

• indexes (sequence of int or int, default: None ) –

  Band indexes.

• expression (str, default: None ) –

  rio-tiler expression (e.g. b1/b2+b3).

• resampling_method (RIOResampling, default: 'nearest' ) –

  RasterIO resampling algorithm. Defaults to nearest.

• unscale (bool, default: False ) –

  Apply 'scales' and 'offsets' on output data value. Defaults to False.

• post_process (callable, default: None ) –

  Function to apply on output data and mask values.

Returns:

• PointData –

  PointData

tile

tile(tile_x: int, tile_y: int, tile_z: int, tilesize: int = 256, indexes: Optional[Indexes] = None, expression: Optional[str] = None, out_dtype: Optional[Union[str, dtype]] = None, resampling_method: RIOResampling = 'nearest', unscale: bool = False, post_process: Optional[Callable[[MaskedArray], MaskedArray]] = None) -> ImageData

Read a Web Map tile from an Image.

Parameters:

• tile_x (int) –

  Tile's horizontal index.

• tile_y (int) –

  Tile's vertical index.

• tile_z (int) –

  Tile's zoom level index.

• tilesize (int, default: 256 ) –

  Output image size. Defaults to 256.

• indexes (int or sequence of int, default: None ) –

  Band indexes.

• expression (str, default: None ) –

  rio-tiler expression (e.g. b1/b2+b3).

• resampling_method (RIOResampling, default: 'nearest' ) –

  RasterIO resampling algorithm. Defaults to nearest.

• unscale (bool, default: False ) –

  Apply 'scales' and 'offsets' on output data value. Defaults to False.

• post_process (callable, default: None ) –

  Function to apply on output data and mask values.

Returns:

• ImageData –

  rio_tiler.models.ImageData: ImageData instance with data, mask and tile spatial info.

LocalTileMatrixSet

Fake TMS for non-geo image.

_ul

_ul(*tile: Tile) -> Coords

Return the upper left coordinate of the (x, y, z) tile.

xy_bounds

xy_bounds(*tile: Tile) -> BoundingBox

Return the bounding box of the (x, y, z) tile

Reader

Bases: BaseReader

Rasterio Reader.

Attributes:

• input (str) –

  dataset path.

• dataset (DatasetReader or DatasetWriter or WarpedVRT) –

  Rasterio dataset.

• tms (TileMatrixSet) –

  TileMatrixSet grid definition. Defaults to WebMercatorQuad.

• colormap (dict) –

  Overwrite internal colormap.

• options (dict) –

  Options to forward to low-level reader methods.

Examples:

>>> with Reader(src_path) as src:
    src.tile(...)

>>> # Set global options
    with Reader(src_path, options={"unscale": True, "nodata": 0}) as src:
        src.tile(...)

>>> with rasterio.open(src_path) as src_dst:
        with WarpedVRT(src_dst, ...) as vrt_dst:
            with Reader(None, dataset=vrt_dst) as src:
                src.tile(...)

>>> with rasterio.open(src_path) as src_dst:
        with Reader(None, dataset=src_dst) as src:
            src.tile(...)

maxzoom property

maxzoom

Return dataset maxzoom.

minzoom property

minzoom

Return dataset minzoom.

__attrs_post_init__

__attrs_post_init__()

Define _kwargs, open dataset and get info.

__exit__

__exit__(exc_type, exc_value, traceback)

Support using with Context Managers.

_get_colormap

_get_colormap()

Retrieve the internal colormap.

close

close()

Close rasterio dataset.

feature

feature(shape: Dict, dst_crs: Optional[CRS] = None, shape_crs: CRS = WGS84_CRS, indexes: Optional[Indexes] = None, expression: Optional[str] = None, max_size: Optional[int] = None, height: Optional[int] = None, width: Optional[int] = None, buffer: Optional[NumType] = None, **kwargs: Any) -> ImageData

Read part of a Dataset defined by a geojson feature.

Parameters:

• shape (dict) –

  Valid GeoJSON feature.

• dst_crs (CRS, default: None ) –

  Overwrite target coordinate reference system.

• shape_crs (CRS, default: WGS84_CRS ) –

  Input geojson coordinate reference system. Defaults to epsg:4326.

• indexes (sequence of int or int, default: None ) –

  Band indexes.

• expression (str, default: None ) –

  rio-tiler expression (e.g. b1/b2+b3).

• max_size (int, default: None ) –

  Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio.

• height (int, default: None ) –

  Output height of the array.

• width (int, default: None ) –

  Output width of the array.

• buffer (int or float, default: None ) –

  Buffer on each side of the given aoi. It must be a multiple of 0.5. Output image size will be expanded to output imagesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258).

• kwargs (optional, default: {} ) –

  Options to forward to the Reader.part method.

Returns:

• ImageData –

  rio_tiler.models.ImageData: ImageData instance with data, mask and input spatial info.

info

info() -> Info

Return Dataset info.

part

part(bbox: BBox, dst_crs: Optional[CRS] = None, bounds_crs: CRS = WGS84_CRS, indexes: Optional[Union[int, Sequence]] = None, expression: Optional[str] = None, max_size: Optional[int] = None, height: Optional[int] = None, width: Optional[int] = None, buffer: Optional[float] = None, **kwargs: Any) -> ImageData

Read part of a Dataset.

Parameters:

• bbox (tuple) –

  Output bounds (left, bottom, right, top) in target crs ("dst_crs").

• dst_crs (CRS, default: None ) –

  Overwrite target coordinate reference system.

• bounds_crs (CRS, default: WGS84_CRS ) –

  Bounds Coordinate Reference System. Defaults to epsg:4326.

• indexes (sequence of int or int, default: None ) –

  Band indexes.

• expression (str, default: None ) –

  rio-tiler expression (e.g. b1/b2+b3).

• max_size (int, default: None ) –

  Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio.

• height (int, default: None ) –

  Output height of the array.

• width (int, default: None ) –

  Output width of the array.

• buffer (float, default: None ) –

  Buffer on each side of the given aoi. It must be a multiple of 0.5. Output image size will be expanded to output imagesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258).

• kwargs (optional, default: {} ) –

  Options to forward to the rio_tiler.reader.part function.

Returns:

• ImageData –

  rio_tiler.models.ImageData: ImageData instance with data, mask and input spatial info.

point

point(lon: float, lat: float, coord_crs: CRS = WGS84_CRS, indexes: Optional[Indexes] = None, expression: Optional[str] = None, **kwargs: Any) -> PointData

Read a pixel value from a Dataset.

Parameters:

• lon (float) –

  Longitude.

• lat (float) –

  Latitude.

• coord_crs (CRS, default: WGS84_CRS ) –

  Coordinate Reference System of the input coords. Defaults to epsg:4326.

• indexes (sequence of int or int, default: None ) –

  Band indexes.

• expression (str, default: None ) –

  rio-tiler expression (e.g. b1/b2+b3).

• kwargs (optional, default: {} ) –

  Options to forward to the rio_tiler.reader.point function.

Returns:

• PointData –

  PointData

preview

preview(indexes: Optional[Indexes] = None, expression: Optional[str] = None, max_size: int = 1024, height: Optional[int] = None, width: Optional[int] = None, **kwargs: Any) -> ImageData

Return a preview of a Dataset.

Parameters:

• indexes (sequence of int or int, default: None ) –

  Band indexes.

• expression (str, default: None ) –

  rio-tiler expression (e.g. b1/b2+b3).

• max_size (int, default: 1024 ) –

  Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024.

• height (int, default: None ) –

  Output height of the array.

• width (int, default: None ) –

  Output width of the array.

• kwargs (optional, default: {} ) –

  Options to forward to the self.read method.

Returns:

• ImageData –

  rio_tiler.models.ImageData: ImageData instance with data, mask and input spatial info.

read

read(indexes: Optional[Indexes] = None, expression: Optional[str] = None, **kwargs: Any) -> ImageData

Read the Dataset.

Parameters:

• indexes (sequence of int or int, default: None ) –

  Band indexes.

• expression (str, default: None ) –

  rio-tiler expression (e.g. b1/b2+b3).

• kwargs (optional, default: {} ) –

  Options to forward to the rio_tiler.reader.read function.

Returns:

• ImageData –

  rio_tiler.models.ImageData: ImageData instance with data, mask and input spatial info.

statistics

statistics(categorical: bool = False, categories: Optional[List[float]] = None, percentiles: Optional[List[int]] = None, hist_options: Optional[Dict] = None, max_size: int = 1024, indexes: Optional[Indexes] = None, expression: Optional[str] = None, **kwargs: Any) -> Dict[str, BandStatistics]

Return bands statistics from a dataset.

Parameters:

• categorical (bool, default: False ) –

  treat input data as categorical data. Defaults to False.

• categories (list of numbers, default: None ) –

  list of categories to return value for.

• percentiles (list of numbers, default: None ) –

  list of percentile values to calculate. Defaults to [2, 98].

• hist_options (dict, default: None ) –

  Options to forward to numpy.histogram function.

• max_size (int, default: 1024 ) –

  Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024.

• kwargs (optional, default: {} ) –

  Options to forward to self.read.

Returns:

• Dict[str, BandStatistics] –

  Dict[str, rio_tiler.models.BandStatistics]: bands statistics.

tile

tile(tile_x: int, tile_y: int, tile_z: int, tilesize: int = 256, indexes: Optional[Indexes] = None, expression: Optional[str] = None, buffer: Optional[float] = None, **kwargs: Any) -> ImageData

Read a Web Map tile from a Dataset.

Parameters:

• tile_x (int) –

  Tile's horizontal index.

• tile_y (int) –

  Tile's vertical index.

• tile_z (int) –

  Tile's zoom level index.

• tilesize (int, default: 256 ) –

  Output image size. Defaults to 256.

• indexes (int or sequence of int, default: None ) –

  Band indexes.

• expression (str, default: None ) –

  rio-tiler expression (e.g. b1/b2+b3).

• buffer (float, default: None ) –

  Buffer on each side of the given tile. It must be a multiple of 0.5. Output tilesize will be expanded to tilesize + 2 * tile_buffer (e.g 0.5 = 257x257, 1.0 = 258x258).

• kwargs (optional, default: {} ) –

  Options to forward to the Reader.part method.

Returns:

• ImageData –

  rio_tiler.models.ImageData: ImageData instance with data, mask and tile spatial info.