Class: QgsMesh3DDataBlock¶
A block of 3d stacked mesh data related N faces defined on base mesh frame.
Data are implicitly shared, so the class can be quickly copied std.numeric_limits<double>.quiet_NaN() represents NODATA value
Note
The API is considered EXPERIMENTAL and can be changed without a notice
Note
In QGIS 3.34 this class was renamed from QgsMesh3dDataBlock to QgsMesh3DDataBlock. The old QgsMesh3dDataBlock name
remains available in PyQGIS for compatibility.
Added in version 3.12.
- class qgis.core.QgsMesh3DDataBlock[source]¶
Bases:
object- __init__()
Constructs an invalid block
- __init__(other: QgsMesh3DDataBlock)
- Parameters:
other (QgsMesh3DDataBlock)
- __init__(count: int, isVector: bool)
Constructs a new block for count faces
- Parameters:
count (int)
isVector (bool)
- count(self) int[source]¶
Number of 2d faces for which the volume data is stored in the block
- Return type:
int
- faceToVolumeIndex(self) List[int]¶
Returns the indexing between faces and volumes
- Return type:
List[int]
- firstVolumeIndex(self) int[source]¶
Index of the first volume stored in the buffer (absolute)
- Return type:
int
- lastVolumeIndex(self) int[source]¶
Index of the last volume stored in the buffer (absolute)
- Return type:
int
- setFaceToVolumeIndex(self, faceToVolumeIndex: Iterable[int])[source]¶
Sets the indexing between faces and volumes
- Parameters:
faceToVolumeIndex (Iterable[int])
- setValues(self, doubleBuffer: Iterable[float])[source]¶
Sets the values at volume centers
For vector datasets the number of values is doubled (x1, y1, x2, y2, … )
- Parameters:
doubleBuffer (Iterable[float])
- setVerticalLevels(self, verticalLevels: Iterable[float])[source]¶
Sets the vertical levels height
- Parameters:
verticalLevels (Iterable[float])
- setVerticalLevelsCount(self, verticalLevelsCount: Iterable[int])[source]¶
Sets the vertical level counts
- Parameters:
verticalLevelsCount (Iterable[int])
- value(self, volumeIndex: int) QgsMeshDatasetValue[source]¶
Returns the value at volume centers
- Parameters:
volumeIndex (int) – volume index relative to
firstVolumeIndex()- Return type:
- Returns:
value (scalar or vector)
- values(self) List[float]¶
Returns the values at volume centers
For vector datasets the number of values is doubled (x1, y1, x2, y2, … )
- Return type:
List[float]