Layer#

class rforge.library.containers.layer.Layer(array: ndarray[int32] | None = None, bounds: Dict[str, float | int] | None = None, crs: str | None = None, driver: str | None = None, no_data: int | float | None = None, transform: Tuple[float, float, float, float, float, float] | None = None, units: str | None = None)[source]#

Represents a data layer in a geospatial dataset.

_array#

The array data of the layer.

Type:: Optional[np.ndarray[np.int32]]

_bounds#

The spatial bounds of the layer.

Type:: Optional[Dict[str, float]]

_crs#

The coordinate reference system (CRS) of the layer.

Type:: Optional[str]

_driver#

The driver used for data storage.

Type:: Optional[str]

_no_data#

The value representing no data in the layer.

Type:: Optional[Union[int, float]]

_transform#

Affine transformation parameters.

Type:: Optional[Tuple[float, float, float, float, float, float]]

_units#

The units of the layer data.

Type:: Optional[str]

__init__()[source]#: Initializes a Layer instance.

__eq__()[source]#: Checks equality between two Layer instances or a Layer and a numpy array.

__str__()[source]#: Returns a string representation of the layer attributes.

import_layer()[source]#: Imports layer data from a file.

array()#: Getter and setter for the layer array data.

bounds()#: Getter and setter for the spatial bounds.

crs()#: Getter and setter for the CRS.

driver()#: Getter and setter for the driver.

no_data()#: Getter and setter for the no_data value.

transform()#: Getter and setter for the affine transformation parameters.

units()#: Getter and setter for the units.

resolution()#: Computes the resolution of the layer.

width()#: Computes the width of the layer.

height()#: Computes the height of the layer.

count()#: Computes the number of bands in the layer.

mean()#: Computes the mean value(s) of the layer data.

median()#: Computes the median value(s) of the layer data.

min()#: Computes the minimum value(s) of the layer data.

max()#: Computes the maximum value(s) of the layer data.

std_dev()#: Computes the standard deviation value(s) of the layer data.

property array: ndarray[int32] | None#

property bounds: Dict[str, float] | None#

property count: int#

property crs: str | None#

property driver: str | None#

property height: int#

import_layer(path: str, id: int = 1, scale: int | None = None)[source]#

property max: float | int | list[int | float] | None#

property mean: float | int | list[int | float] | None#

property median: float | int | list[int | float] | None#

property min: float | int | list[int | float] | None#

property no_data: int | float | None#

property resolution: float#

property std_dev: float | int | list[int | float] | None#

property transform: Tuple[float, float, float, float, float, float] | None#

property units: str | None#

property width: int#