GeoEco.Datasets.Virtual.MaskedGrid

class GeoEco.Datasets.Virtual.MaskedGrid(grid, masks, operators, values, unscaledNoDataValue=None, scaledNoDataValue=None)

Bases: Grid

A Grid that sets cells of another Grid to NoData according to one or more Grids representing masks.

Parameters:

• grid (Grid) – Grid to mask.

• masks (list of Grid) – list of one or more Grids that are the masks. Each of the masks must have the same coordinates as grid. For a given cell of grid, the NoDataValue will be returned if any of the corresponding cells in the masks is masked. To determine if a cell of a given mask is masked, the cell is compared to the corresponding value in values using the corresponding operator in operators. Minimum length꞉ 1.

• operators (list of str) –

  List of comparison operations that should be performed, one for Grid in masks and value in values. The possible operators are:

  • = or == - the mask cell is equal to the value. For this operator, float('nan') (the floating point “not a number” value) is considered equal to itself. This is contrary to normal practice in Python programming, but is convenient for masking.

  • != or <> - the mask cell is not equal to the value. As above, float('nan') is considered equal to itself, so a “not equal” comparison of float('nan') to itself is false.

  • < - the mask cell is less than the value.

  • <= - the mask cell is less or equal to than the value.

  • > - the mask cell is greater than the value.

  • >= - the mask cell is greater or equal to than the value.

  • any - any of the bits of the value that are 1 are also 1 for the mask. Only applicable for integer-valued masks and values.

  • all - all of the bits of the value that are 1 are also 1 for the mask. Only applicable for integer-valued masks and values.

  Minimum length꞉ 1. Must have the same length as masks.

• values (list of object) – List of values to which masks should be compared, one for each Grid in masks and operator in operators. Minimum length꞉ 1. Must have the same length as masks.

• unscaledNoDataValue (object, optional) – int or float or single-valued numpy array giving the unscaled NoData value to use when a cell of grid is considered masked. You should provide a value when grid does not have an UnscaledNoDataValue. Ignored grid.UnscaledNoDataValue does not return None.

• scaledNoDataValue (object, optional) – int or float or single-valued numpy array giving the scaled NoData value to use when a cell of grid is considered masked. You should provide a value when grid does not have a NoDataValue and grid.DataIsScaled is True. Ignored if grid.DataIsScaled is False or grid.NoDataValue does not return None.

Returns:

MaskedGrid instance.

Return type:

MaskedGrid

Properties

property CenterCoords

(object) Coordinates of the grid cell centers, indexed using the 1-character dimension of interest and optionally a range to retrieve a numpy.ndarray of coordinates (e.g. CenterCoords['x', 0:4]) or an integer to retrieve a float for a single coordinate (e.g. CenterCoords['x', 10]). Coordinates for the t dimension are returned as datetime instances. Read only.

property CoordDependencies

(tuple of str) Same length as Dimensions. Dimensions that each dimension depends on for determining its coordinates. None for dimensions that have a constant coordinate increment. Read only.

property CoordIncrements

(tuple of float) Same length as Dimensions. Coordinate increment for each dimension. None for dimensions that do not have a constant coordinate increment. Read only.

property Data

(object) This grid’s data, indexable using slices (e.g. grid.Data[:, 5:10, -10:]) or integers (e.g. grid.Data[0,1,-2]) or both in combination. Strides and negative indexes are supported in the traditional manner. If the grid is writable, Data can be assigned to write values to the grid, e.g. grid.Data[0,1] = 5 or grid.Data[:,:] = numpy.zeros(grid.Shape). Returns and accepts numpy.ndarray, float, and int. Read only.

property DataIsScaled

(bool) If True, the underlying raw data are stored as the UnscaledDataType to save storage space and then transformed by a scaling equation on the fly when they are returned by Data. The raw data can be accessed with UnscaledData. If False, the raw data are returned as is, with no transformation needed, and UnscaledDataType and DataType are the same, and UnscaledData returns the same values as Data. Read only.

property DataType

(str) Numeric data type of the grid, after the scaling function (if any) has been applied to the raw data. numpy.ndarrays returned by Data have this type. Read only. Allowed values꞉ 'int8', 'uint8', 'int16', 'uint16', 'int32', 'uint32', 'float32', 'float64'. Case sensitive.

property Dimensions

(str) Dimensions of this grid. Read only. Allowed values꞉ 'yx', 'zyx', 'tyx', 'tzyx'. Case sensitive.

property DisplayName

(str) Informal name of this object, suitable to be displayed to the user. Read only. Minimum length꞉ 1.

property MaxCoords

(object) Maximum coordinate value for each cell (i.e., the coordinates of the cells’ right edges), indexed using the 1-character dimension of interest and optionally a range to retrieve a numpy.ndarray of coordinates (e.g. MaxCoords['x', 0:4]) or an integer to retrieve a float for a single coordinate (e.g. MaxCoords['x', 10]). Coordinates for the t dimension are returned as datetime instances. Read only.

property MinCoords

(object) Minimum coordinate value for each cell (i.e., the coordinates of the cells’ left edges), indexed using the 1-character dimension of interest and optionally a range to retrieve a numpy.ndarray of coordinates (e.g. MinCoords['x', 0:4]) or an integer to retrieve a float for a single coordinate (e.g. MinCoords['x', 10]). Coordinates for the t dimension are returned as datetime instances. Read only.

property NoDataValue

(object or None) int, float, or single-element numpy array giving the value that indicates that cells of Data should be interpreted as having no data (these are also known as missing, NA, or NULL cells), or None if all cells must have data. Read only.

property ParentCollection

(DatasetCollection or None) Parent DatasetCollection that this object is part of (if any). Read only.

property Shape

(tuple of int) Same length as Dimensions. Length (number of grid cells) of each dimension. Read only.

property TCountPerSemiRegularPeriod

(int or None) Number of time slices per semi-regular period (i.e. per year). None if the grid’s dimensions do not contain a t coordinate or the t coordinate is not semi-regular. Read only.

property TIncrementUnit

(str or None) Unit of the t coordinate. None if the grid’s dimensions do not contain a t coordinate. Read only. Allowed values꞉ 'year', 'month', 'day', 'hour', 'minute', 'second'. Case sensitive.

property TSemiRegularity

(str or None) Type of semi-regularity used for the t coordinate. None if the grid’s dimensions do not contain a t coordinate or the t coordinate is not semi-regular. Read only. Allowed values꞉ 'annual'. Case sensitive.

property UnscaledData

(object) This grid’s data underlying raw data, before it has been transformed by a scaling equation. UnscaledData is indexable using slices (e.g. grid.UnscaledData[:, 5:10, -10:]) or integers (e.g. grid.UnscaledData[0,1,-2]) or both in combination. Strides and negative indexes are supported in the traditional manner. If the grid is writable, UnscaledData can be assigned to write values to the grid, e.g. grid.UnscaledData[0,1] = 5 or grid.UnscaledData[:,:] = numpy.zeros(grid.Shape). Returns and accepts numpy.ndarray, float, and int. Read only.

property UnscaledDataType

(str) Numeric data type of the grid’s raw data, before it has been transformed by a scaling equation. numpy.ndarrays returned by UnscaledData have this type. If no transformation is needed (DataIsScaled is False), then UnscaledDataType and ScaledDataType are the same, and UnscaledData returns the same values as Data. Read only. Allowed values꞉ 'int8', 'uint8', 'int16', 'uint16', 'int32', 'uint32', 'float32', 'float64'. Case sensitive.

property UnscaledNoDataValue

(object or None) int or float value that indicates that cells of UnscaledData should be interpreted as having no data (these are also known as missing, NA, or NULL cells), or None if all cells must have data. Read only.

Methods

Close	Closes any open files or connections associated with this object and releases any other resources allocated to access it.
ConvertSpatialReference	Converts a spatial reference from one format to another, such as an OGC WKT string to a Proj4 string.
DeleteLazyPropertyValue	Deletes the lazy property with the specified name.
GetAllQueryableAttributes	Returns a list of all queryable attributes.
GetIndicesForCoords	Given a tuple or list of coordinates, returns a list of int indices into Data for the cell that contains the coordinates.
GetLazyPropertyValue	Returns the value of the lazy property with the specified name.
GetQueryableAttribute	Returns the queryable attribute with the specified name.
GetQueryableAttributeValue	Returns the value of the queryable attribute with the specified name.
GetQueryableAttributesWithDataType	Returns a list queryable attributes having the specified data type.
GetSpatialReference	Returns the spatial reference of this dataset.
HasLazyPropertyValue	Returns True if the specified lazy property has a value.
SetLazyPropertyValue	Sets the lazy property with the specified name to the specified value.
SetSpatialReference	Sets the spatial reference of this dataset.
TestCapability	Tests whether a capability is supported by this class or an instance of it.
numpy_equal_nan