Numpy-free base classes.
- class rasterio._base.DatasetBase
Dataset base class
An ordered list of block shapes for each bands
Shapes are tuples and have the same ordering as the dataset’s shape: (count of image rows, count of image columns).
- Return type:
- block_size(bidx, i, j)
Returns the size in bytes of a particular block
Only useful for TIFF formatted datasets.
- block_window(bidx, i, j)
Returns the window for a particular block
Iterator over a band’s blocks and their windows
The primary use of this method is to obtain windows to pass to read() for highly efficient access to raster block data.
The positional parameter bidx takes the index (starting at 1) of the desired band. This iterator yields blocks “left to right” and “top to bottom” and is similar to Python’s
enumerate()in that the first element is the block index and the second is the dataset window.
Blocks are built-in to a dataset and describe how pixels are grouped within each band and provide a mechanism for efficient I/O. A window is a range of pixels within a single band defined by row start, row stop, column start, and column stop. For example,
((0, 2), (0, 2))defines a
2 x 2window at the upper left corner of a raster band. Blocks are referenced by an
(i, j)tuple where
(0, 0)would be a band’s upper left block.
Raster I/O is performed at the block level, so accessing a window spanning multiple rows in a striped raster requires reading each row. Accessing a
2 x 2window at the center of a
1800 x 3600image requires reading 2 rows, or 7200 pixels just to get the target 4. The same image with internal
256 x 256blocks would require reading at least 1 block (if the window entire window falls within a single block) and at most 4 blocks, or at least 512 pixels and at most 2048.
Given an image that is
512 x 512with blocks that are
256 x 256, its blocks and windows would look like:
Blocks: 0 256 512 0 +--------+--------+ | | | | (0, 0) | (0, 1) | | | | 256 +--------+--------+ | | | | (1, 0) | (1, 1) | | | | 512 +--------+--------+ Windows: UL: ((0, 256), (0, 256)) UR: ((0, 256), (256, 512)) LL: ((256, 512), (0, 256)) LR: ((256, 512), (256, 512))
bidx (int, optional) – The band index (using 1-based indexing) from which to extract windows. A value less than 1 uses the first band if all bands have homogeneous windows and raises an exception otherwise.
Returns the lower left and upper right bounds of the dataset in the units of its coordinate reference system.
The returned value is a tuple: (lower left x, lower left y, upper right x, upper right y)
- checksum(bidx, window=None)
Compute an integer checksum for the stored band
Close the dataset and unwind attached exit stack.
Returns a dict containing the colormap for a band.
bidx (int) – Index of the band whose colormap will be returned. Band index starts at 1.
Mapping of color index value (starting at 0) to RGBA color as a 4-element tuple.
- Return type:
The dataset’s coordinate reference system
In setting this property, the value may be a CRS object or an EPSG:nnnn or WKT string.
- Return type:
Descriptions for each dataset band
To set descriptions, one for each band is required.
ground control points and their coordinate reference system.
This property is a 2-tuple, or pair: (gcps, crs).
- gcpslist of GroundControlPoint
Zero or more ground control points.
- crs: CRS
The coordinate reference system of the ground control points.
Get GCPs and their associated CRS.
- get_tag_item(ns, dm=None, bidx=0, ovr=None)
Returns tag item value
Returns a GDAL geotransform in its native form.
The 1-based indexes of each band in the dataset
For a 3-band dataset, this property will be
[1, 2, 3].
Sets of flags describing the sources of band masks.
all_valid (There are no invalid pixels, all mask values will be) –
When used this will normally be the only flag set.
per_dataset (The mask band is shared between all bands on the) – dataset.
alpha (The mask band is actually an alpha band and may have) – values other than 0 and 255.
nodata (Indicates the mask is actually being generated from) – nodata values (mutually exclusive of “alpha”).
One list of rasterio.enums.MaskFlags members per band.
- Return type:
list [, list*]
For a 3 band dataset that has masks derived from nodata values:
>>> dataset.mask_flag_enums ([<MaskFlags.nodata: 8>], [<MaskFlags.nodata: 8>], [<MaskFlags.nodata: 8>]) >>> band1_flags = dataset.mask_flag_enums >>> rasterio.enums.MaskFlags.nodata in band1_flags True >>> rasterio.enums.MaskFlags.alpha in band1_flags False
The basic metadata of this dataset.
Raster offset for each dataset band
To set offsets, one for each band is required.
Basic metadata and creation options of this dataset.
May be passed as keyword arguments to rasterio.open() to create a clone of this dataset.
Return the GDAL dataset’s stored CRS
Return the stored GDAL GeoTransform
Returns the (width, height) of pixels in the units of its coordinate reference system.
Rational polynomial coefficients mapping between pixel and geodetic coordinates.
This property is a dict-like object.
rpcs : RPC instance containing coefficients. Empty if dataset does not have any metadata in the “RPC” domain.
Raster scale for each dataset band
To set scales, one for each band is required.
Start the dataset’s life cycle
Close the GDAL dataset handle
Sequence of subdatasets
Get a list of the dataset’s metadata domains.
Returned items may be passed as ns to the tags method.
Returns a dict containing copies of the dataset or band’s tags.
Tags are pairs of key and value strings. Tags belong to namespaces. The standard namespaces are: default (None) and ‘IMAGE_STRUCTURE’. Applications can create their own additional namespaces.
The optional bidx argument can be used to select the tags of a specific band. The optional ns argument can be used to select a namespace other than the default.
The dataset’s georeferencing transformation matrix
This transform maps pixel row/column coordinates to coordinates in the dataset’s coordinate reference system.
- Return type:
one units string for each dataset band
Possible values include ‘meters’ or ‘degC’. See the Pint project for a suggested list of units.
To set units, one for each band is required.
Return True if the driver has CREATE capability
Return True if the driver has CREATE_COPY capability
- rasterio._base.driver_supports_mode(drivername, creation_mode)
Return True if the driver supports the mode