rasterio._base module

Numpy-free base classes.

class rasterio._base.DatasetBase

Bases: object

Dataset base class

block_shapes

bounds

closed

colorinterp

count

crs

descriptions

files

gcps

rpcs

indexes

mask_flag_enums

meta

nodata

nodatavals

profile

res

subdatasets

transform

units

compression

Compression algorithm’s short name

Type

str

driver

Format driver used to open the dataset

Type

str

interleaving

‘pixel’ or ‘band’

Type

str

kwds

Stored creation option tags

Type

dict

mode

Access mode

Type

str

name

Remote or local dataset name

Type

str

options

Copy of opening options

Type

dict

photometric

Photometric interpretation’s short name

Type

str

block_shapes

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).

Returns

Return type

list

block_size()

Returns the size in bytes of a particular block

Only useful for TIFF formatted datasets.

Parameters

• bidx (int) – Band index, starting with 1.

• i (int) – Row index of the block, starting with 0.

• j (int) – Column index of the block, starting with 0.

Returns

Return type

int

block_window()

Returns the window for a particular block

Parameters

• bidx (int) – Band index, starting with 1.

• i (int) – Row index of the block, starting with 0.

• j (int) – Column index of the block, starting with 0.

Returns

Return type

Window

block_windows()

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 2 window 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 2 window at the center of a 1800 x 3600 image requires reading 2 rows, or 7200 pixels just to get the target 4. The same image with internal 256 x 256 blocks 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 512 with 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))

Parameters

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.

Yields

block, window

bounds

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()

Compute an integer checksum for the stored band

Parameters

• bidx (int) – The band’s index (1-indexed).

• window (tuple, optional) – A window of the band. Default is the entire extent of the band.

Returns

Return type

An int.

close()

Close the dataset

closed

Test if the dataset is closed

Returns

Return type

bool

colorinterp

Returns a sequence of ColorInterp.<enum> representing color interpretation in band order.

To set color interpretation, provide a sequence of ColorInterp.<enum>:

import rasterio from rasterio.enums import ColorInterp

with rasterio.open(‘rgba.tif’, ‘r+’) as src:

src.colorinterp = (

ColorInterp.red, ColorInterp.green, ColorInterp.blue, ColorInterp.alpha)

Returns

Return type

tuple

colormap()

Returns a dict containing the colormap for a band or None.

compression

count

The number of raster bands in the dataset

Returns

Return type

int

crs

The dataset’s coordinate reference system

In setting this property, the value may be a CRS object or an EPSG:nnnn or WKT string.

Returns

Return type

CRS

descriptions

Descriptions for each dataset band

To set descriptions, one for each band is required.

Returns

Return type

list of str

driver

dtypes

The data types of each band in index order

Returns

Return type

list of str

files

Returns a sequence of files associated with the dataset.

Returns

Return type

tuple

gcps

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()

Get GCPs and their associated CRS.

get_nodatavals()

get_tag_item()

Returns tag item value

Parameters

• ns (str) – The key for the metadata item to fetch.

• dm (str) – The domain to fetch for.

• bidx (int) – Band index, starting with 1.

• ovr (int) – Overview level

Returns

Return type

str

get_transform()

Returns a GDAL geotransform in its native form.

height

indexes

The 1-based indexes of each band in the dataset

For a 3-band dataset, this property will be [1, 2, 3].

Returns

Return type

list of int

interleaving

is_tiled

lnglat()

mask_flag_enums

Sets of flags describing the sources of band masks.

all_valid: There are no invalid pixels, all mask values will be

255. 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”).

Returns

One list of rasterio.enums.MaskFlags members per band.

Return type

list [, list*]

Examples

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[0]
>>> rasterio.enums.MaskFlags.nodata in band1_flags
True
>>> rasterio.enums.MaskFlags.alpha in band1_flags
False

meta

The basic metadata of this dataset.

mode

name

nodata

The dataset’s single nodata value

Notes

May be set.

Returns

Return type

float

nodatavals

Nodata values for each band

Notes

This may not be set.

Returns

Return type

list of float

offsets

Raster offset for each dataset band

To set offsets, one for each band is required.

Returns

Return type

list of float

options

overviews()

photometric

profile

Basic metadata and creation options of this dataset.

May be passed as keyword arguments to rasterio.open() to create a clone of this dataset.

read_crs()

Return the GDAL dataset’s stored CRS

read_transform()

Return the stored GDAL GeoTransform

res

Returns the (width, height) of pixels in the units of its coordinate reference system.

rpcs

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.

scales

Raster scale for each dataset band

To set scales, one for each band is required.

Returns

Return type

list of float

shape

start()

Start the dataset’s life cycle

stop()

Close the GDAL dataset handle

subdatasets

Sequence of subdatasets

tag_namespaces()

Get a list of the dataset’s metadata domains.

Returned items may be passed as ns to the tags method.

Parameters

• int (bidx) – Can be used to select a specific band, otherwise the dataset’s general metadata domains are returned.

• optional – Can be used to select a specific band, otherwise the dataset’s general metadata domains are returned.

Returns

Return type

list of str

tags()

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.

transform

The dataset’s georeferencing transformation matrix

This transform maps pixel row/column coordinates to coordinates in the dataset’s coordinate reference system.

Returns

Return type

Affine

units

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.

Returns

Return type

list of str

Type

A list of str

width

write_transform()

rasterio._base.check_gdal_version()

Return True if the major and minor versions match.

rasterio._base.driver_can_create()

Return True if the driver has CREATE capability

rasterio._base.driver_can_create_copy()

Return True if the driver has CREATE_COPY capability

rasterio._base.driver_supports_mode()

Return True if the driver supports the mode

rasterio._base.gdal_version()

Return the version as a major.minor.patchlevel string.

rasterio._base.get_dataset_driver()

Return the name of the driver that opens a dataset

Parameters

path (rasterio.path.Path or str) – A remote or local dataset path.

Returns

Return type

str