mapteksdk.data.cells module

Cell network data types.

Cell networks are objects which are defined by quadrilateral cell primitives. This module only contains the GridSurface class which represents a dense irregular cell network.

See also

mapteksdk.data.scans.Scan: Scans are also cell networks, however they are not included in this module due to their specialised nature.

class GridSurface(object_id=None, lock_type=LockType.READWRITE, major_dimension_count=None, minor_dimension_count=None, x_step=None, y_step=None, start=None, column_major=False)

Bases: Topology, PointProperties, CellProperties

A dense irregular cell network. In Eureka these are referred to as grid surfaces. They are generally more compact than Surfaces and calculations can be performed faster on them. However they cannot represent surfaces with disconnected parts and do not allow holes in the surface (except when the surface self-intersects).

The object will contain major_dimension_count * minor_dimension_count points which are used to define the cells. The structure contains (major_dimension_count - 1) * (minor_dimension_count - 1) cells - due to the gridded nature of the object adjacent cells share points. To make working with the gridded data structure easier, this object provides two dimensional versions of the point and cell properties. This allows these properties to be indexed based on the row and column of the cell in the grid.

The cell in the ith row and the jth column is defined as the quadrilateral between cell_points[i][j], cell_points[i + 1][j], cell_points[i + 1][j + 1] and cell_points[i][j + 1] For example, the zeroth cell is between the points cell_points[0][0], cell_points[0][1], cell_points[1][1] and cell_points[1][0]. Cell selection and cell visibility map the selection and visibility to the cells in the same way.

The constructor for grid surfaces can generate a regular grid (via the x_step and y_step parameters) in the X and Y direction. If this form of the constructor is used then only setting the Z values will create a consistent grid with no self-intersections. Use the start parameter to specify the start position of the grid.

Parameters

major_dimension_count (int) – The number of rows used to store the grid surface. Note that this will only correspond to the number of rows in the grid surface if the points are stored in row major order. This is ignored if opening an existing irregular grid surface.
minor_dimension_count (int) – The number of columns used to store the grid surface. Note that this will only correspond to the number of columns in the grid surface if the points are stored in row major order. This is ignored if opening an existing grid surface.
x_step (int) – If x_step, y_step or start are specified, the constructor will set the points to a regular grid using this as the size of each grid square in the X direction. If y_step is specified this should also be specified. Ignored when opening an existing grid surface. To make scripts run faster, only specify this argument if you intend to use the generated regular grid.
y_step (int) – If x_step, y_step or start are specified, the constructor will set the points to a regular grid using this as the size of each grid square in the Y direction. If x_step is specified this should also be specified. Ignored when opening an existing grid surface. To make scripts run faster, only specify this argument if you intend to use the generated regular grid.
start (array_like) – If x_step, y_step or start are specified, the constructor will set the points to a regular grid using this as the start point of the generated grid. The default is [0, 0, 0]. This should only be specified if x_step and y_step are specified. Ignored when opening an existing grid surface. To make scripts run faster, only specify this argument if you intend to use the generated regular grid.
column_major (bool) – If False (default) then the generated grid will be in row major order (X values change in rows, Y values in columns). If True the generated grid will be in column major order (Y values change in rows, X values in columns). This has no effect if x_step, y_step and start are not specified. Ignored when opening an existing grid surface.

Warning

GridSurfaces have no protection against self-intersecting cells or cells intersecting each other. This can cause unintuitive index to spatial relationships and holes in the surface.

Raises

ValueError – If major_dimension_count or minor_dimension_count are less than zero.
TypeError – If major_dimension_count or minor_dimension_count are not integers.

Examples

Creates a new grid surface using the grid constructor then sets the Z coordinates to be the sine of the X coordinate plus the Y coordinate. By using the grid constructor then setting only the Z coordinates, this ensures the resulting surface has no self-intersections and an intuitive index to spatial relationship.

>>> import math
>>> import numpy as np
>>> from mapteksdk.project import Project
>>> from mapteksdk.data import GridSurface
>>> project = Project()
>>> with project.new("surfaces/sin_x+y", GridSurface(
...         major_dimension_count=8, minor_dimension_count=8,
...         x_step=math.pi/4, y_step=math.pi/4)) as new_grid:
...     np.sin(new_grid.points[:, 1] + new_grid.points[:, 2],
...            out=new_grid.point_z)

If the X and Y information is already available or does not neatly conform to a grid, construction of the object will be faster if the X and Y step parameters are not specified. In the below example the X and Y coordinates are not regularly spaced (as is often the case for real world data) so it is more efficient to not specify the x_step and y_step parameters.

>>> from mapteksdk.project import Project
>>> from mapteksdk.data import GridSurface
>>> project = Project()
>>> points = [[1.1, 1.15, 1.11], [1.98, 1.17, 1.08], [3.02, 1.13, 1.07],
...           [1.08, 1.99, 1.07], [2.01, 2.03, 1.37], [3.00, 2.11, 1.33],
...           [1.13, 3.08, 1.08], [2.00, 3.01, 0.99], [3.18, 3.07, 1.34]]
>>> with project.new("surfaces/noisy", GridSurface(
...         major_dimension_count=3, minor_dimension_count=3
...         )) as new_grid:
...     new_grid.points = points

property points

A 2D ndarray of points of the form: [[x1, y1, z1], [x2, y2, z2], …, [xN, yN, zN]] Where N is the number of points.

Raises: AttributeError – If attempting to set the points on an object which does not support setting points.

Examples

Create a new point set and set the points:

>>> from mapteksdk.project import Project
>>> from mapteksdk.data import PointSet
>>> project = Project()
... with project.new("cad/test_points", PointSet) as new_points:
...     new_points.points = [[0, 0, 0], [1, 0, 0], [1, 1, 0],
...                          [0, 1, 0], [0, 2, 2], [0, -1, 3]]

Print the second point from the point set defined above.

>>> from mapteksdk.project import Project
>>> from mapteksdk.data import PointSet
>>> project = Project()
>>> with project.read("cad/test_points") as read_points:
...     print(read_points.points[2])
[1., 1., 0.]

Then set the 2nd point to [1, 2, 3]:

>>> from mapteksdk.project import Project
>>> from mapteksdk.data import PointSet
>>> project = Project()
>>> with project.edit("cad/test_points") as edit_points:
...     edit_points.points[2] = [1, 2, 3]

Iterate over all of the points and print them.

>>> from mapteksdk.project import Project
>>> from mapteksdk.data import PointSet
>>> project = Project()
>>> with project.read("cad/test_points") as read_points:
>>>     for point in read_points.points:
>>>         print(point)
[0., 0., 0.]
[1., 0., 0.]
[1., 2., 3.]
[0., 1., 0.]
[0., 2., 2.]
[0., -1., 3.]

Print all points with y > 0 using numpy. Note that index has one element for each point which will be true if that point has y > 0 and false otherwise. This is then used to retrieve the points with y > 0.

>>> from mapteksdk.project import Project
>>> from mapteksdk.data import PointSet
>>> project = Project()
>>> with project.read("cad/test_points") as read_points:
...     index = read_points.points[:, 1] > 0
...     print(read_points.points[index])
[[1. 2. 3.]
 [0. 1. 0.]
 [0. 2. 2.]]

property id: ObjectID[GridSurface]

Object ID that uniquely references this object in the project.

Returns: The unique id of this object.
Return type: ObjectID

property cells_2d

The cells rearranged into rows and columns.

GridSurface.cells_2d[i][j] will return the cell in the ith row and jth column.

property cell_visibility_2d

The visibility of the cells reshaped to be a grid of size major_dimension_count - 1 by minor_dimension_count - 1.

Raises

ValueError – If assigned a value which is not major_dimension_count - 1 by minor_dimension_count - 1.
ValueError – If set using a value which cannot be converted to a bool.

Examples

Set all cells along the diagonal of the grid surface to be invisible, then print the cell visibility. The loop is bounded by the lower of the major and minor dimension counts, so it will work even for grid surfaces which are not squares.

>>> from mapteksdk.project import Project
>>> from mapteksdk.data import GridSurface
>>> project = Project()
>>> with project.new("surfaces/cell_visibility", GridSurface(
...         major_dimension_count=5, minor_dimension_count=5,
...         x_step=1, y_step=1)) as new_cells:
...     for i in range(min(new_cells.cell_visibility_2d.shape)):
...         new_cells.cell_visibility_2d[i][i] = False
...     print(new_cells.cell_visibility_2d)
[[False, True, True, True]
 [True, False, True, True]
 [True, True, False, True]
 [True, True, True, False]]

Note that when the object created in the previous example is viewed from above, the resulting cell visibility will be mirrored on the Y axis to what was printed. This is because ascending y will go up the screen, whereas the ascending rows are printed down the screen. i.e. The grid surface will have the following visibility:

>>> from mapteksdk.project import Project
>>> project = Project()
>>> with project.read("surfaces/cell_visibility") as read_cells:
...     print(read_cells.cell_visibility_2d[:, ::-1])
[[ True  True  True False]
 [ True  True False  True]
 [ True False  True  True]
 [False  True  True  True]]

Set a 2x2 area of cells to be invisible then print the resulting cell visibility.

>>> from mapteksdk.project import Project
>>> from mapteksdk.data import GridSurface
>>> project = Project()
>>> with project.new("surfaces/cell_visibility_2", GridSurface(
...         major_dimension_count=5, minor_dimension_count=5,
...         x_step=1, y_step=1)) as new_cells:
...     new_cells.cell_visibility_2d[1:3, 1:3] = [[False, False],
...                                               [False, False]]
[[True, True, True, True]
 [True, False, False, True]
 [True, False, False, True]
 [True, True, True, True]]

property cell_selection_2d

The selection of the cells reshaped in a grid of size: major_dimension_count - 1 by minor_dimension_count - 1

Raises

ValueError – If set to a value which is not major_dimension_count - 1 by minor_dimension_count - 1.
ValueError – If set using a value which cannot be converted to a bool.

property cell_points

A view of points reshaped to follow the underlying grid structure of the surface. This means that for the cell in row i and column j, the points which define the four corners of the cell are: cell_points[i][j], cell_points[i+1][j], cell_points[i+1, j+1] and cell_points[i][j+1].

As this is a view of the points, any changes made to points will be reflected in cell_points and vice versa.

Raises

ValueError – If there are not exactly major_dimension_count * minor_dimension_count points in the object. This will cause the reshape operation to fail. Calling save() will trim/pad the points to be the correct size.
ValueError – If set using a string which cannot be converted to a float.
ValueError – If set to a value which cannot be broadcast to the right shape.
TypeError – If set using a value which cannot be converted to a float.

See also

mapteksdk.data.primitives.PointProperties.points: Flat array access to points.

property cell_point_colours

A view of the point_colours reshaped to be major_dimension_count by minor_dimension_count.

Raises

ValueError – If set using a string which cannot be converted to an integer.
ValueError – If set to a value which cannot be broadcast to the right shape.
TypeError – If set to a value which cannot be converted to an integer.

See also

mapteksdk.data.primitives.PointProperties.point_colours: Flat array access to point colours.

attribute_names()

Returns a list containing the names of all object-level attributes. Use this to iterate over the object attributes.

Returns: List containing the attribute names.
Return type: list

Examples

Iterate over all object attributes of the object stared at “target” and print their values.

>>> from mapteksdk.project import Project
>>> project = Project()
>>> with project.read("target") as read_object:
...     for name in read_object.attribute_names():
...         print(name, ":", read_object.get_attribute(name))

property cell_attributes

Access custom cell attributes. These are arrays of values of the same type with one value for each cell.

Use Object.cell_attributes[attribute_name] to access a cell attribute called attribute_name. See PrimitiveAttributes for valid operations on cell attributes.

Returns: Access to the cell attributes.
Return type: PrimitiveAttributes
Raises: ValueError – If the type of the attribute is not supported.

property cell_count

The number of cells in the cell network.

By default this is equal to the (major_dimension_count - 1) x (minor_dimension_count - 1), however subclasses may override this function to return different values.

property cell_point_count

The number of points in the cell network, including invalid points for which point properties are not stored. This is equal to: major_dimension_count * minor_dimension_count.

If the object contains invalid points, then cell_point_count > point_count.

See also

mapteksdk.data.primitives.PointProperties.point_count: The count of valid points in the object.

property cell_point_visibility

A view of the point_visibility reshaped to be major_dimension_count by minor_dimension_count.

Raises

ValueError – If set using a value which cannot be converted to a bool.
ValueError – If set to a value which cannot be broadcast to the right shape.

See also

mapteksdk.data.primitives.PointProperties.point_visibility: Flat array access to point visibility.

property cell_selection

The selection of the cells as a flat array.

This array will contain cell_count booleans - one for each cell. True indicates the cell is selected and False indicates the cell is not selected.

Notes

If set to an array which is too large, the excess values will be ignored. If set to an array which is too small, this will be padded with False.

property cell_visibility

The visibility of the cells as a flat array.

This array will contain cell_count booleans - one for each cell. True indicates the cell is visible and False indicates the cell is invisible.

Notes

If set to an array which is too large, the excess values will be ignored. If set to an array which is too small, this will be padded with True.

property cells

This property maps the cells to the points used to define the cells. Use this to refer to the points which define the four corners of a cell.

This is a numpy array of shape (n, 4) where n is the cell count. If cells[i] is [a, b, c, d] then the four corner points of the ith cell are points[a], points[b], points[c] and points[d].

Notes

Sparse cell objects (such as Scans) may contain cells with point indices of -1. These represent invalid points.

Examples

This example creates a GridSurface object with 3 rows and 3 columns of points and prints the cells. Then it prints the four points which define the first cell (index 0).

>>> from mapteksdk.project import Project
>>> from mapteksdk.data import GridSurface
>>> project = Project()
>>> with project.new("surfaces/small_square", GridSurface(
...         major_dimension_count=3, minor_dimension_count=3,
...         x_step=0.1, y_step=0.1)) as small_square:
...     print("Cells:")
...     print(small_square.cells)
...     print("The points which define the first cell are:")
...     for index in small_square.cells[0]:
...         print(f"Point {index}:", small_square.points[index])
Cells:
[[0 3 4 1]
 [1 4 5 2]
 [3 6 7 4]
 [4 7 8 5]]
The points which define the first cell are:
Point 0: [0. 0. 0.]
Point 3: [0.3 0.  0. ]
Point 4: [0.  0.1 0. ]
Point 1: [0.1 0.  0. ]

close(): Closes the object and saves the changes to the Project, preventing any further changes.

property coordinate_system: CoordinateSystem | None

The coordinate system the points of this object are in.

Warning

Setting this property does not change the points. This is only a label stating the coordinate system the points are in.

Notes

If the object has no coordinate system, this will be None.

Changes are done directly in the project and will not be undone if an error occurs.

Examples

Creating an edge network and setting the coordinate system to be WGS84. Note that setting the coordinate system does not change the points. It is only stating which coordinate system the points are in.

>>> from pyproj import CRS
>>> from mapteksdk.project import Project
>>> from mapteksdk.data import Polygon
>>> project = Project()
>>> with project.new("cad/rectangle", Polygon) as new_edges:
...     # Coordinates are in the form [longitude, latitude]
...     new_edges.points = [[112, 9], [112, 44], [154, 44], [154, 9]]
...     new_edges.coordinate_system = CRS.from_epsg(4326)

Often a standard map projection is not convenient or accurate for a given application. In such cases a local transform can be provided to allow coordinates to be specified in a more convenient system. The below example defines a local transform where the origin is translated 1.2 degrees north and 2.1 degree east, points are scaled to be twice as far from the horizontal origin and the coordinates are rotated 45 degrees clockwise about the horizontal_origin. Note that the points of the polygon are specified in the coordinate system after the local transform has been applied.

>>> import math
>>> from pyproj import CRS
>>> from mapteksdk.project import Project
>>> from mapteksdk.data import Polygon, CoordinateSystem, LocalTransform
>>> project = Project()
>>> transform = LocalTransform(
...     horizontal_origin = [1.2, 2.1],
...     horizontal_scale_factor = 2,
...     horizontal_rotation = math.pi / 4)
>>> system = CoordinateSystem(CRS.from_epsg(20249), transform)
>>> with project.new("cad/rectangle_transform", Polygon) as new_edges:
...     new_edges.points = [[112, 9], [112, 44], [154, 44], [154, 9]]
...     new_edges.coordinate_system = system

See also

mapteksdk.data.coordinate_systems.CoordinateSystem: Allows for a coordinate system to be defined with an optional local transform.

property created_date: datetime

The date and time (in UTC) of when this object was created.

Returns: The date and time the object was created. 0:0:0 1/1/1970 if the operation failed.
Return type: datetime.datetime

delete_all_attributes()

Delete all object attributes attached to an object.

This only deletes object attributes and has no effect on PrimitiveAttributes.

Raises: RuntimeError – If all attributes cannot be deleted.

delete_attribute(attribute)

Deletes a single object-level attribute.

Deleting a non-existent object attribute will not raise an error.

Parameters: attribute (str) – Name of attribute to delete.
Returns: True if the object attribute existed and was deleted; False if the object attribute did not exist.
Return type: bool
Raises: RuntimeError – If the attribute cannot be deleted.

delete_cell_attribute(attribute_name)

Delete a cell attribute by name.

This is equivalent to: cell_attributes.delete_attribute(attribute_name)

Parameters

attribute_name (str) – The name of attribute

Raises

Exception – If the object is opened in read-only mode.
ValueError – If the primitive type is not supported.

delete_point_attribute(attribute_name)

Delete a point attribute by name.

This is equivalent to: point_attributes.delete_attribute(attribute_name)

Parameters

attribute_name (str) – The name of attribute

Raises

Exception – If the object is opened in read-only mode.
ValueError – If the primitive type is not supported.

dissociate_raster(raster)

Removes the raster from the object.

This is done directly on the Project and will not be undone if an error occurs.

Parameters: raster (Raster | ObjectID[Raster]) – The raster to dissociate.
Returns: True if the raster was successfully dissociated from the object, False if the raster was not associated with the object.
Return type: bool
Raises: TypeError – If raster is not a Raster.

Notes

This only removes the association between the Raster and the object, it does not clear the registration information from the Raster.

Examples

Dissociate the first raster found on a picked object.

>>> from mapteksdk.project import Project
>>> from mapteksdk import operations
>>> project = Project()
>>> oid = operations.object_pick(
...     support_label="Pick an object to remove a raster from.")
... with project.edit(oid) as data_object:
...     report = f"There were no raster to remove from {oid.path}"
...     for index in data_object.rasters:
...         data_object.dissociate_raster(data_object.rasters[index])
...         report = f"Removed raster {index} from {oid.path}"
...         break
... # Now that the raster is dissociated and the object is closed,
... # the raster can be associated with a different object.
... operations.write_report("Remove Raster", report)

property extent: Extent: The axes aligned bounding extent of the object.

get_attribute(name)

Returns the value for the attribute with the specified name.

Parameters: name (str) – The name of the object attribute to get the value for.
Returns: The value of the object attribute name. For dtype = datetime.datetime this is an integer representing the number of milliseconds since 1st Jan 1970. For dtype = datetime.date this is a tuple of the form: (year, month, day).
Return type: ObjectAttributeTypes
Raises: KeyError – If there is no object attribute called name.

Warning

In the future this function may be changed to return datetime.datetime and datetime.date objects instead of the current representation for object attributes of type datetime.datetime or datetime.date.

get_attribute_type(name)

Returns the type of the attribute with the specified name.

Parameters: name (str) – Name of the attribute whose type should be returned.
Returns: The type of the object attribute name.
Return type: ObjectAttributeDataTypes
Raises: KeyError – If there is no object attribute called name.

get_colour_map()

Return the ID of the colour map object currently associated with this object.

Returns: The ID of the colour map object or null object ID if there is no colour map.
Return type: ObjectID

property lock_type: LockType

Indicates whether operating in read-only or read-write mode.

Returns: The type of lock on this object. This will be LockType.ReadWrite if the object is open for editing and LockType.Read if the object is open for reading.
Return type: LockType

property major_dimension_count

The major dimension count of the Cell Network.

If the inheriting object is stored in row major order, then this will correspond to the row count. If stored in column major order then this will correspond to the column count.

property minor_dimension_count

The major dimension count of the Cell Network.

If the inheriting object is stored in row major order, then this will correspond to the column count. If stored in column major order then this will correspond to the row count.

property modified_date: datetime

The date and time (in UTC) of when this object was last modified.

Returns: The date and time this object was last modified. 0:0:0 1/1/1970 if the operation failed.
Return type: datetime.datetime

property point_attributes

Access the custom point attributes. These are arrays of values of the same type with one value for each point.

Use Object.point_attributes[attribute_name] to access the point attribute called attribute_name. See PrimitiveAttributes for valid operations on point attributes.

Returns: Access to the point attributes.
Return type: PrimitiveAttributes
Raises: ValueError – If the type of the attribute is not supported.

property point_colours

The colours of the points, represented as a 2d ndarray of RGBA colours. When setting the colour you may use RGB or greyscale colours instead of RGBA colours. The array has one colour for each point. Object.point_colours[i] returns the colour of Object.points[i].

Notes

When the point colours are set, if there are more colours than points then the excess colours are silently ignored. If there are fewer colours than points then uncoloured points are coloured green. If only a single colour is specified, instead of padding with green all of the points are coloured with that colour. i.e.: object.point_colours = [[Red, Green, Blue]] will set all points to be the colour [Red, Green, Blue].

property point_count: The number of points in the object.

property point_selection

A 1D ndarray representing the point selection.

If Object.point_selection[i] = True then Object.point[i] is selected. Object.point_selection[i] = False then Object.point[i] is not selected.

property point_visibility

A 1D ndarray representing the visibility of points.

Object.point_visibility[i] is true if Object.point[i] is visible. It will be False if the point is invisible.

Object.point_visibility[i] = False will make Object.point[i] invisible.

property point_z

The Z coordinates of the points.

Raises

ValueError – If set using a string which cannot be converted to a float.
ValueError – If set to a value which cannot be broadcast to the right shape.
TypeError – If set using a value which cannot be converted to a float.

property rasters: dict[int, ObjectID[Raster]]

A dictionary of raster indices and Object IDs of the raster images currently associated with this object.

The keys are the raster ids and the values are the Object IDs of the associated rasters. Note that all raster ids are integers however they may not be consecutive - for example, an object may have raster ids 0, 1, 5 and 200.

Notes

Rasters with higher indices appear on top of rasters with lower indices. The maximum possible raster id is 255.

Removing a raster from this dictionary will not remove the raster association from the object. Use dissociate_raster to do this.

Examples

Iterate over all rasters on an object and invert the colours. Note that this will fail if there is no object at the path “target” and it will do nothing if no rasters are associated with the target.

>>> from mapteksdk.project import Project
>>> project = Project()
>>> with project.read("target") as read_object:
...     for raster in read_object.rasters.values():
...         with project.edit(raster) as edit_raster:
...             edit_raster.pixels[:, :3] = 255 - edit_raster.pixels[:, :3]

save_cell_attribute(attribute_name, data)

Create and/or edit the values of the call attribute attribute_name.

This is equivalent to Object.cell_attributes[attribute_name] = data.

Parameters

attribute_name (str) – The name of attribute
data (array_like) – An array_like of length cell_count containing the values for attribute_name.

Raises

Exception – If the object is opened in read-only mode.
ValueError – If the type of the attribute is not supported.

save_point_attribute(attribute_name, data)

Create and/or edit the values of the point attribute attribute_name.

This is equivalent to Object.point_attributes[attribute_name] = data.

Parameters

attribute_name (str) – The name of attribute
data (array_like) – An array_like of length point_count containing the values for attribute_name.

Raises

Exception – If the object is opened in read-only mode.
ValueError – If the type of the attribute is not supported.

set_attribute(name, dtype, data)

Sets the value for the object attribute with the specified name.

This will overwrite any existing attribute with the specified name.

Parameters

name – The name of the object attribute for which the value should be set.
dtype – The type of data to assign to the attribute. This should be a type from the ctypes module or datetime.datetime or datetime.date. Passing bool is equivalent to passing ctypes.c_bool. Passing str is equivalent to passing ctypes.c_char_p. Passing int is equivalent to passing ctypes.c_int16. Passing float is equivalent to passing ctypes.c_double.
data – The value to assign to object attribute name. For dtype = datetime.datetime this can either be a datetime object or timestamp which will be passed directly to datetime.utcfromtimestamp(). For dtype = datetime.date this can either be a date object or a tuple of the form: (year, month, day).

Raises

ValueError – If dtype is an unsupported type.
TypeError – If value is an inappropriate type for object attribute name.
RuntimeError – If a different error occurs.

Warning

Object attributes are saved separately from the object itself - any changes made by this function (assuming it does not raise an error) will be saved even if save() is not called (for example, due to an error being raised by another function).

Examples

Create an object attribute on an object at “target” and then read its value.

>>> import ctypes
>>> from mapteksdk.project import Project
>>> project = Project()
>>> with project.edit("target") as edit_object:
...     edit_object.set_attribute("count", ctypes.c_int16, 0)
... with project.read("target") as read_object:
...     print(read_object.get_attribute("count"))
0

property cell_point_selection

A view of the point_selection reshaped to be major_dimension_count by minor_dimension_count.

Raises

ValueError – If set using a value which cannot be converted to a bool.
ValueError – If set to a value which cannot be broadcast to the right shape.

See also

mapteksdk.data.primitives.PointProperties.point_selection: Flat array access to point selection.

classmethod static_type()

Return the type of a topology as stored in a Project.

This can be used for determining if the type of an object is topology.

save()

Save the changes made to the object.

Generally a user does not need to call this function because it is called automatically at the end of a with block using Project.new() or Project.edit().