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@@ -611,7 +611,7 @@ Dataset and calling the :py:meth:`UgridDataArray.ugrid.plot()` method. .. code-block:: none - + @@ -646,7 +646,7 @@ the edges results in a different kind of plot: .. code-block:: none - + @@ -688,7 +688,7 @@ We can put them side by side to illustrate the differences: .. code-block:: none - + @@ -718,7 +718,7 @@ filled contours for data associated with the face dimension: .. code-block:: none - + @@ -749,7 +749,7 @@ We can also overlay this data with the edges: .. code-block:: none - + @@ -824,7 +824,7 @@ All these (2D) plots are illustrated here for completeness' sake: .. code-block:: none - + @@ -857,7 +857,7 @@ The ``surface`` methods generate 3D surface plots: .. code-block:: none - + @@ -891,7 +891,7 @@ used: .. code-block:: none - + @@ -927,7 +927,7 @@ take an xarray DataArray and a xugrid grid as arguments. .. code-block:: none - + @@ -963,14 +963,14 @@ somewhere in the unstructured topology, and plot the resulting timeseries: .. code-block:: none - [] + [] .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 11.400 seconds) + **Total running time of the script:** (0 minutes 11.446 seconds) .. _sphx_glr_download_examples_plotting.py: diff --git a/_sources/examples/quick_overview.rst.txt b/_sources/examples/quick_overview.rst.txt index 9ba44a19d..6714ed32c 100644 --- a/_sources/examples/quick_overview.rst.txt +++ b/_sources/examples/quick_overview.rst.txt @@ -464,7 +464,7 @@ We'll start by fetching a dataset: elevation (node) float64 ... depth (time, node) float64 ... mesh2d int32 ... - face_node_connectivity (face, nmax_face) float64 ...


  • @@ -919,7 +919,7 @@ separate the variables: * node (node) int64 0 1 2 3 4 5 6 ... 9133 9134 9135 9136 9137 9138 9139 Data variables: elevation (node) float64 ... - depth (time, node) float64 ...


  • @@ -1361,7 +1361,7 @@ We can then grab one of the data variables as usual for xarray: Coordinates: node_x (node) float64 ... node_y (node) float64 ... - * node (node) int64 0 1 2 3 4 5 6 7 ... 9133 9134 9135 9136 9137 9138 9139 + * node (node) int64 0 1 2 3 4 5 6 7 ... 9133 9134 9135 9136 9137 9138 9139

    @@ -1771,7 +1771,7 @@ some data by hand here:
    <xarray.DataArray (mesh2d_nFaces: 2)>
         array([1., 2.])
         Coordinates:
    -      * mesh2d_nFaces  (mesh2d_nFaces) int64 0 1
    + * mesh2d_nFaces (mesh2d_nFaces) int64 0 1

    @@ -1809,7 +1809,7 @@ Plotting .. code-block:: none - + @@ -1860,7 +1860,7 @@ To select based on the topology, use the ``.ugrid`` attribute: .. code-block:: none - + @@ -2258,7 +2258,7 @@ Computation on DataArrays is unchanged from xarray:
    <xarray.DataArray (mesh2d_nFaces: 2)>
         array([11., 12.])
         Coordinates:
    -      * mesh2d_nFaces  (mesh2d_nFaces) int64 0 1
    + * mesh2d_nFaces (mesh2d_nFaces) int64 0 1

    @@ -2720,7 +2720,7 @@ Conversion from Geopandas is easy too: Coordinates: * mesh2d_nFaces (mesh2d_nFaces) int64 0 1 Data variables: - test (mesh2d_nFaces) float64 1.0 2.0 + test (mesh2d_nFaces) float64 1.0 2.0

    @@ -3116,13 +3116,13 @@ grid (nodes, faces, edges).
    <xarray.Dataset>
         Dimensions:        (mesh2d_nNodes: 217, mesh2d_nFaces: 384, mesh2d_nEdges: 600)
         Coordinates:
    +      * mesh2d_nEdges  (mesh2d_nEdges) int64 0 1 2 3 4 5 ... 594 595 596 597 598 599
           * mesh2d_nNodes  (mesh2d_nNodes) int64 0 1 2 3 4 5 ... 211 212 213 214 215 216
           * mesh2d_nFaces  (mesh2d_nFaces) int64 0 1 2 3 4 5 ... 378 379 380 381 382 383
    -      * mesh2d_nEdges  (mesh2d_nEdges) int64 0 1 2 3 4 5 ... 594 595 596 597 598 599
         Data variables:
             node_z         (mesh2d_nNodes) float64 1.933 2.091 1.875 ... 5.688 7.491
             face_z         (mesh2d_nFaces) float64 1.737 1.918 2.269 ... 5.408 6.424
    -        edge_z         (mesh2d_nEdges) float64 1.989 1.875 1.8 ... 3.929 4.909 6.544
    • mesh2d_nEdges
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=600, step=1, name='mesh2d_nEdges'))
    • mesh2d_nNodes
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=217, step=1, name='mesh2d_nNodes'))
    • mesh2d_nFaces
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=384, step=1, name='mesh2d_nFaces'))


  • @@ -3634,7 +3634,7 @@ a grid object:
    <xarray.Dataset>
         Dimensions:  ()
         Data variables:
    -        *empty*
    + *empty*

    @@ -4029,7 +4029,7 @@ We can then add variables one-by-one, as we might with an xarray Dataset: node_y (node) float64 ... * node (node) int64 0 1 2 3 4 5 6 ... 9133 9134 9135 9136 9137 9138 9139 Data variables: - elevation (node) float64 ... + elevation (node) float64 ...

    @@ -4434,7 +4434,7 @@ before writing. elevation (node) float64 ... depth (time, node) float64 ... Attributes: - Conventions: CF-1.9 UGRID-1.0
  • Conventions :
    CF-1.9 UGRID-1.0


  • @@ -4495,7 +4495,7 @@ before writing. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.566 seconds) + **Total running time of the script:** (0 minutes 0.585 seconds) .. _sphx_glr_download_examples_quick_overview.py: diff --git a/_sources/examples/regridder_overview.rst.txt b/_sources/examples/regridder_overview.rst.txt index 54ad30d30..1a2f8f307 100644 --- a/_sources/examples/regridder_overview.rst.txt +++ b/_sources/examples/regridder_overview.rst.txt @@ -79,7 +79,7 @@ elevation of the Netherlands. .. code-block:: none - + @@ -151,7 +151,7 @@ the centroids of the new grid fall. .. code-block:: none - + @@ -182,7 +182,7 @@ Rexgrid provides the CentroidLocatorRegridder for this: .. code-block:: none - + @@ -217,7 +217,7 @@ so large. Let's try the OverlapOverregridder instead. .. code-block:: none - + @@ -249,7 +249,7 @@ Let's try again, now with the minimum: .. code-block:: none - + @@ -280,7 +280,7 @@ Or the maximum: .. code-block:: none - + @@ -709,7 +709,7 @@ result. mesh2d_face_x (mesh2d_nFaces) float64 ... mesh2d_face_y (mesh2d_nFaces) float64 ... * layer (layer) int64 1 2 3 4 5 - * mesh2d_nFaces (mesh2d_nFaces) int64 0 1 2 3 4 ... 5243 5244 5245 5246 5247
    • mesh2d_face_x
      (mesh2d_nFaces)
      float64
      ...
      standard_name :
      projection_x_coordinate
      [5248 values with dtype=float64]
    • mesh2d_face_y
      (mesh2d_nFaces)
      float64
      ...
      standard_name :
      projection_y_coordinate
      [5248 values with dtype=float64]
    • layer
      (layer)
      int64
      1 2 3 4 5
      array([1, 2, 3, 4, 5])
    • mesh2d_nFaces
      (mesh2d_nFaces)
      int64
      0 1 2 3 4 ... 5244 5245 5246 5247
      array([   0,    1,    2, ..., 5245, 5246, 5247])
    • layer
      PandasIndex
      PandasIndex(Index([1, 2, 3, 4, 5], dtype='int64', name='layer'))
    • mesh2d_nFaces
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=5248, step=1, name='mesh2d_nFaces'))


  • @@ -1151,7 +1151,7 @@ all additional dimensions. -45.92794405, -39.50867478]]) Coordinates: * layer (layer) int64 1 2 3 4 5 - * mesh2d_nFaces (mesh2d_nFaces) int64 0 1 2 3 4 5 6 ... 91 92 93 94 95 96 97
    • layer
      PandasIndex
      PandasIndex(Index([1, 2, 3, 4, 5], dtype='int64', name='layer'))
    • mesh2d_nFaces
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=98, step=1, name='mesh2d_nFaces'))


  • @@ -1233,7 +1233,7 @@ and the aggregated mean. .. code-block:: none - [, , , , ] + [, , , , ] @@ -1270,7 +1270,7 @@ To illustrate, we will zoom in to a part of the Netherlands. .. code-block:: none - + @@ -1323,7 +1323,7 @@ the triangles. .. code-block:: none - + @@ -1364,7 +1364,7 @@ the regridders work for any collection of (convex) faces. .. code-block:: none - + @@ -1400,7 +1400,7 @@ is kept the same. .. code-block:: none - + @@ -1416,7 +1416,7 @@ is kept the same. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 8.130 seconds) + **Total running time of the script:** (0 minutes 8.105 seconds) .. _sphx_glr_download_examples_regridder_overview.py: diff --git a/_sources/examples/selection.rst.txt b/_sources/examples/selection.rst.txt index 0dba83f94..59b0823a9 100644 --- a/_sources/examples/selection.rst.txt +++ b/_sources/examples/selection.rst.txt @@ -85,7 +85,7 @@ elevation of the Netherlands. .. code-block:: none - + @@ -130,7 +130,7 @@ A subset of the unstructured grid is returned by using slices without a step: .. code-block:: none - + @@ -161,7 +161,7 @@ In such a case the entire grid is returned. .. code-block:: none - + @@ -196,7 +196,7 @@ This means we can easily select along a single dimension: .. code-block:: none - + @@ -226,7 +226,7 @@ Or, using ``None`` if we only care about the start: .. code-block:: none - + @@ -660,7 +660,7 @@ Two values will select a point: mesh2d_x (mesh2d_nFaces) float64 1.5e+05 mesh2d_y (mesh2d_nFaces) float64 4.63e+05 Attributes: - unit: m NAP + unit: m NAP

    @@ -1066,7 +1066,7 @@ of six points: mesh2d_x (mesh2d_nFaces) float64 1.25e+05 1.5e+05 ... 1.5e+05 1.75e+05 mesh2d_y (mesh2d_nFaces) float64 4e+05 4e+05 ... 4.65e+05 4.65e+05 Attributes: - unit: m NAP + unit: m NAP

    @@ -1472,7 +1472,7 @@ To select points without broadcasting, use ``.ugrid.sel_points`` instead: mesh2d_x (mesh2d_nFaces) float64 1.25e+05 1.5e+05 1.75e+05 mesh2d_y (mesh2d_nFaces) float64 4e+05 4.3e+05 4.65e+05 Attributes: - unit: m NAP + unit: m NAP

    @@ -1876,9 +1876,9 @@ We can sample points along a line as well by providing slices **with** a step: mesh2d_x (mesh2d_nFaces) float64 1e+05 1.1e+05 ... 1.8e+05 1.9e+05 mesh2d_y (mesh2d_nFaces) float64 4.65e+05 4.65e+05 ... 4.65e+05 Attributes: - unit: m NAP + unit: m NAP

    @@ -2284,7 +2284,7 @@ Two slices with a step results in broadcasting: mesh2d_x (mesh2d_nFaces) float64 1e+05 1.1e+05 ... 1.8e+05 1.9e+05 mesh2d_y (mesh2d_nFaces) float64 4e+05 4e+05 4e+05 ... 4.9e+05 4.9e+05 Attributes: - unit: m NAP
  • unit :
    m NAP


  • @@ -2738,15 +2738,15 @@ As well as a slice with a step and multiple values: mesh2d_x (mesh2d_nFaces) float64 1e+05 1.1e+05 ... 1.8e+05 1.9e+05 mesh2d_y (mesh2d_nFaces) float64 4e+05 4e+05 4e+05 ... 4.3e+05 4.3e+05 Attributes: - unit: m NAP
  • unit :
    m NAP


  • @@ -2930,7 +2930,7 @@ thousands faces: .. code-block:: none - + @@ -2952,7 +2952,7 @@ face dimension for 2D topologies. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 4.034 seconds) + **Total running time of the script:** (0 minutes 4.063 seconds) .. _sphx_glr_download_examples_selection.py: diff --git a/_sources/examples/sg_execution_times.rst.txt b/_sources/examples/sg_execution_times.rst.txt index 5d0a7879f..a4d9c22db 100644 --- a/_sources/examples/sg_execution_times.rst.txt +++ b/_sources/examples/sg_execution_times.rst.txt @@ -6,22 +6,22 @@ Computation times ================= -**00:49.785** total execution time for **examples** files: +**00:49.836** total execution time for **examples** files: +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_vector_conversion.py` (``vector_conversion.py``) | 00:16.050 | 0.0 MB | +| :ref:`sphx_glr_examples_vector_conversion.py` (``vector_conversion.py``) | 00:15.937 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_plotting.py` (``plotting.py``) | 00:11.400 | 0.0 MB | +| :ref:`sphx_glr_examples_plotting.py` (``plotting.py``) | 00:11.446 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_regridder_overview.py` (``regridder_overview.py``) | 00:08.130 | 0.0 MB | +| :ref:`sphx_glr_examples_regridder_overview.py` (``regridder_overview.py``) | 00:08.105 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_overlap_regridder.py` (``overlap_regridder.py``) | 00:04.047 | 0.0 MB | +| :ref:`sphx_glr_examples_selection.py` (``selection.py``) | 00:04.063 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_selection.py` (``selection.py``) | 00:04.034 | 0.0 MB | +| :ref:`sphx_glr_examples_overlap_regridder.py` (``overlap_regridder.py``) | 00:04.036 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_partitioning.py` (``partitioning.py``) | 00:03.951 | 0.0 MB | +| :ref:`sphx_glr_examples_partitioning.py` (``partitioning.py``) | 00:03.944 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_connectivity.py` (``connectivity.py``) | 00:01.608 | 0.0 MB | +| :ref:`sphx_glr_examples_connectivity.py` (``connectivity.py``) | 00:01.719 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_quick_overview.py` (``quick_overview.py``) | 00:00.566 | 0.0 MB | +| :ref:`sphx_glr_examples_quick_overview.py` (``quick_overview.py``) | 00:00.585 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ diff --git a/_sources/examples/vector_conversion.rst.txt b/_sources/examples/vector_conversion.rst.txt index 8966d1690..cfd83479f 100644 --- a/_sources/examples/vector_conversion.rst.txt +++ b/_sources/examples/vector_conversion.rst.txt @@ -73,7 +73,7 @@ We'll once again use the surface elevation data example. .. code-block:: none - + @@ -518,9 +518,9 @@ GeoDataFrame. Data variables: elevation (mesh2d_nFaces) float32 1.17 9.81 54.04 ... 0.28 -15.83 -0.45 mesh2d_face_x (mesh2d_nFaces) float64 2.388e+04 1.86e+05 ... 3.03e+04 - mesh2d_face_y (mesh2d_nFaces) float64 3.648e+05 4.171e+05 ... 3.964e+05 + mesh2d_face_y (mesh2d_nFaces) float64 3.648e+05 4.171e+05 ... 3.964e+05

    @@ -582,7 +582,7 @@ burn into the grid. .. code-block:: none - + @@ -978,9 +978,9 @@ we want to compute the average surface elevation per province: Coordinates: * id (id) float64 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 Attributes: - unit: m NAP
    • id
      (id)
      float64
      0.0 1.0 2.0 3.0 ... 9.0 10.0 11.0
      array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.])
    • id
      PandasIndex
      PandasIndex(Index([0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], dtype='float64', name='id'))
  • unit :
    m NAP


  • @@ -1087,7 +1087,7 @@ We can also use such "masks" to e.g. modify specific parts of the grid data: .. code-block:: none - + @@ -1233,7 +1233,7 @@ burn operation. .. code-block:: none - + @@ -1342,7 +1342,7 @@ compare to the grid faces. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 16.050 seconds) + **Total running time of the script:** (0 minutes 15.937 seconds) .. _sphx_glr_download_examples_vector_conversion.py: diff --git a/_sources/sample_data/adh_san_diego.rst.txt b/_sources/sample_data/adh_san_diego.rst.txt index 945d92c25..d085e6674 100644 --- a/_sources/sample_data/adh_san_diego.rst.txt +++ b/_sources/sample_data/adh_san_diego.rst.txt @@ -41,7 +41,7 @@ It contains a static dataset (bed elevation) and a time varying dataset .. code-block:: none - + @@ -71,7 +71,7 @@ It contains a static dataset (bed elevation) and a time varying dataset .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.326 seconds) + **Total running time of the script:** (0 minutes 0.295 seconds) .. _sphx_glr_download_sample_data_adh_san_diego.py: diff --git a/_sources/sample_data/disk.rst.txt b/_sources/sample_data/disk.rst.txt index fcb65771c..f5107feee 100644 --- a/_sources/sample_data/disk.rst.txt +++ b/_sources/sample_data/disk.rst.txt @@ -39,7 +39,7 @@ of a disk. It contains data on the nodes, faces, and edges. .. code-block:: none - + @@ -68,7 +68,7 @@ of a disk. It contains data on the nodes, faces, and edges. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.168 seconds) + **Total running time of the script:** (0 minutes 0.136 seconds) .. _sphx_glr_download_sample_data_disk.py: diff --git a/_sources/sample_data/elevation_nl.rst.txt b/_sources/sample_data/elevation_nl.rst.txt index 4d4d22298..46b540a77 100644 --- a/_sources/sample_data/elevation_nl.rst.txt +++ b/_sources/sample_data/elevation_nl.rst.txt @@ -39,7 +39,7 @@ of the Netherlands. .. code-block:: none - [] + [] @@ -67,7 +67,7 @@ of the Netherlands. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.813 seconds) + **Total running time of the script:** (0 minutes 0.742 seconds) .. _sphx_glr_download_sample_data_elevation_nl.py: diff --git a/_sources/sample_data/provinces_nl.rst.txt b/_sources/sample_data/provinces_nl.rst.txt index 550fc36c0..24dc8a7a7 100644 --- a/_sources/sample_data/provinces_nl.rst.txt +++ b/_sources/sample_data/provinces_nl.rst.txt @@ -58,7 +58,7 @@ Netherlands, including water, presented as geopandas GeoDataFrame. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.086 seconds) + **Total running time of the script:** (0 minutes 0.070 seconds) .. _sphx_glr_download_sample_data_provinces_nl.py: diff --git a/_sources/sample_data/sg_execution_times.rst.txt b/_sources/sample_data/sg_execution_times.rst.txt index 2c98f1aaa..7ae46efb0 100644 --- a/_sources/sample_data/sg_execution_times.rst.txt +++ b/_sources/sample_data/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:01.461** total execution time for **sample_data** files: +**00:01.295** total execution time for **sample_data** files: +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_elevation_nl.py` (``elevation_nl.py``) | 00:00.813 | 0.0 MB | +| :ref:`sphx_glr_sample_data_elevation_nl.py` (``elevation_nl.py``) | 00:00.742 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_adh_san_diego.py` (``adh_san_diego.py``) | 00:00.326 | 0.0 MB | +| :ref:`sphx_glr_sample_data_adh_san_diego.py` (``adh_san_diego.py``) | 00:00.295 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_disk.py` (``disk.py``) | 00:00.168 | 0.0 MB | +| :ref:`sphx_glr_sample_data_disk.py` (``disk.py``) | 00:00.136 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_provinces_nl.py` (``provinces_nl.py``) | 00:00.086 | 0.0 MB | +| :ref:`sphx_glr_sample_data_provinces_nl.py` (``provinces_nl.py``) | 00:00.070 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_xoxo.py` (``xoxo.py``) | 00:00.068 | 0.0 MB | +| :ref:`sphx_glr_sample_data_xoxo.py` (``xoxo.py``) | 00:00.052 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ diff --git a/_sources/sample_data/xoxo.rst.txt b/_sources/sample_data/xoxo.rst.txt index fe336d553..748598118 100644 --- a/_sources/sample_data/xoxo.rst.txt +++ b/_sources/sample_data/xoxo.rst.txt @@ -55,7 +55,7 @@ directory if it's not there already. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.068 seconds) + **Total running time of the script:** (0 minutes 0.052 seconds) .. _sphx_glr_download_sample_data_xoxo.py: diff --git a/api/xugrid.Ugrid1d.html b/api/xugrid.Ugrid1d.html index 228d67168..f96d1d0ad 100644 --- a/api/xugrid.Ugrid1d.html +++ b/api/xugrid.Ugrid1d.html @@ -821,30 +821,36 @@

    xugrid.Ugrid1d

    is_geographic

    -

    mesh

    +

    max_connectivity_dimensions

    +

    + +

    mesh

    Create if needed, and return meshkernel Mesh1d object.

    -

    meshkernel

    +

    meshkernel

    Create if needed, and return meshkernel MeshKernel instance.

    -

    n_edge

    +

    n_edge

    Number of edges in the UGRID topology

    -

    n_node

    +

    n_node

    Number of nodes (vertices) in the UGRID topology

    -

    node_coordinates

    +

    node_coordinates

    Coordinates (x, y) of the nodes (vertices)

    -

    node_dimension

    +

    node_dimension

    Name of node dimension

    -

    node_edge_connectivity

    +

    node_edge_connectivity

    Node to edge connectivity.

    -

    node_node_connectivity

    +

    node_node_connectivity

    Node to node connectivity.

    +

    sizes

    +

    +

    topology_dimension

    1

    diff --git a/api/xugrid.Ugrid2d.html b/api/xugrid.Ugrid2d.html index 916ba0bd6..0ac8f9d7d 100644 --- a/api/xugrid.Ugrid2d.html +++ b/api/xugrid.Ugrid2d.html @@ -935,6 +935,12 @@

    xugrid.Ugrid2d

    is_geographic

    +

    max_connectivity_dimensions

    +

    + +

    max_face_node_dimension

    +

    +

    mesh

    Create if needed, and return meshkernel Mesh2d object.

    @@ -974,13 +980,16 @@

    xugrid.Ugrid2d

    perimeter

    Perimeter length of every face.

    -

    topology_dimension

    +

    sizes

    +

    + +

    topology_dimension

    2

    -

    triangulation

    +

    triangulation

    Triangulation of the UGRID2D topology.

    -

    voronoi_topology

    +

    voronoi_topology

    Centroidal Voronoi tesselation of this UGRID2D topology.

    diff --git a/changelog.html b/changelog.html index 9836be82d..ad41ab8fc 100644 --- a/changelog.html +++ b/changelog.html @@ -666,6 +666,8 @@

    Fixed#< copies).

  • Fixed bug in xugrid.Ugrid1d.merge_partitions(), which caused ValueError: indexes must be provided for attrs.

  • +
  • xugrid.merge_partitions() merges partitions with grids not contained in +other partitions.

  • @@ -679,6 +681,11 @@

    Added#< UGRID topologies from “intervals”: the (M + 1, N + 1) vertex coordinates for N faces.

  • xugrid.UgridDataArrayAccessor.from_structured() now takes x and y arguments to specify which coordinates to use as the UGRID x and y coordinates.

  • +
  • xugrid.UgridDataset.sizes as an alternative to xugrid.UgridDataset.dimensions

  • +
  • xugrid.Ugrid2d.max_face_node_dimension which returns the dimension +name designating nodes per face.

  • +
  • xugrid.AbstractUgrid.max_connectivity_dimensions which returns all +maximum connectivity dimensions and their corresponding size.

  • @@ -686,6 +693,8 @@

    Changed#<

    diff --git a/examples-dev/sg_execution_times.html b/examples-dev/sg_execution_times.html index 32c0f9483..3b1cacd57 100644 --- a/examples-dev/sg_execution_times.html +++ b/examples-dev/sg_execution_times.html @@ -393,11 +393,11 @@

    Computation times#

    -

    00:01.347 total execution time for examples-dev files:

    +

    00:01.146 total execution time for examples-dev files:

    - + diff --git a/examples-dev/voronoi.html b/examples-dev/voronoi.html index d5a021e23..5345e1cd3 100644 --- a/examples-dev/voronoi.html +++ b/examples-dev/voronoi.html @@ -798,7 +798,7 @@

    Infinite rays
    (-1.5, 1.5)
     
    -

    Total running time of the script: (0 minutes 1.347 seconds)

    +

    Total running time of the script: (0 minutes 1.146 seconds)

    -connectivity -connectivity -connectivity -connectivity -connectivity -connectivity -connectivity -connectivity -connectivity -connectivity -connectivity -connectivity
    <matplotlib.image.AxesImage object at 0x7fa3cad86010>
    +connectivity
    <matplotlib.image.AxesImage object at 0x7f9d45f64810>
     
    -

    Total running time of the script: (0 minutes 1.608 seconds)

    +

    Total running time of the script: (0 minutes 1.719 seconds)

    -overlap regridder
    <matplotlib.collections.LineCollection object at 0x7fa3c9f03cd0>
    +overlap regridder
    <matplotlib.collections.LineCollection object at 0x7f9d3a73bd10>
     
    @@ -523,7 +523,7 @@

    Relative overlapresult.ugrid.plot()

    -overlap regridder -overlap regridder -overlap regridder -partitioning -partitioning -partitioning -partitioning
    <matplotlib.collections.LineCollection object at 0x7fa3ca015dd0>
    +partitioning
    <matplotlib.collections.LineCollection object at 0x7f9d39c455d0>
     
    @@ -899,7 +899,7 @@

    Preserving orderTotal running time of the script: (0 minutes 3.951 seconds)

    +

    Total running time of the script: (0 minutes 3.944 seconds)

    • mesh2d_nEdges
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=600, step=1, name='mesh2d_nEdges'))
    • mesh2d_nNodes
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=217, step=1, name='mesh2d_nNodes'))
    • mesh2d_nFaces
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=384, step=1, name='mesh2d_nFaces'))


  • @@ -968,7 +968,7 @@

    UgridDataArrayuda.ugrid.plot() -plotting
    -plotting -plotting
    -plotting -plotting -plotting -plotting
    -plotting -plotting -node_x = 4.84e+05, node_y = 3.614e+06, node = 1000
    [<matplotlib.lines.Line2D object at 0x7fa3caa7b950>]
    +node_x = 4.84e+05, node_y = 3.614e+06, node = 1000
    [<matplotlib.lines.Line2D object at 0x7f9d3a73ec50>]
     
    -

    Total running time of the script: (0 minutes 11.400 seconds)

    +

    Total running time of the script: (0 minutes 11.446 seconds)

    Centroid Voronoi Tesselation (CVT) (voronoi.py)

    00:01.347

    00:01.146

    0.0 MB

    - + - + - + - - + + - - + + - + - + - + diff --git a/examples/vector_conversion.html b/examples/vector_conversion.html index 4c9e34030..fa9b23524 100644 --- a/examples/vector_conversion.html +++ b/examples/vector_conversion.html @@ -448,7 +448,7 @@ uda.ugrid.plot(vmin=-20,vmax=90,cmap="terrain") -vector conversion
    <matplotlib.collections.PolyCollection object at 0x7fa3cbea5250>
    +vector conversion
    <matplotlib.collections.PolyCollection object at 0x7f9d3afbab50>
     
    @@ -859,9 +859,9 @@

    Conversion from GeoDataFrame @@ -897,7 +897,7 @@

    “Rasterizing”, or “burning” vector geometriesburned.ugrid.plot()

    -vector conversion
    • id
      (id)
      float64
      0.0 1.0 2.0 3.0 ... 9.0 10.0 11.0
      array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.])
    • id
      PandasIndex
      PandasIndex(Index([0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], dtype='float64', name='id'))
  • unit :
    m NAP


  • This is a convenient way to create masks for specific regions:

    @@ -1319,7 +1319,7 @@

    “Rasterizing”, or “burning” vector geometriesmodified.ugrid.plot(vmin=-20, vmax=90, cmap="terrain") -vector conversion -vector conversion
    <matplotlib.collections.PolyCollection object at 0x7fa3cab8d6d0>
    +vector conversion
    <matplotlib.collections.PolyCollection object at 0x7f9d3b05b810>
     
    @@ -1436,7 +1436,7 @@

    Snap to gridTotal running time of the script: (0 minutes 16.050 seconds)

    +

    Total running time of the script: (0 minutes 15.937 seconds)

    -

    Total running time of the script: (0 minutes 0.086 seconds)

    +

    Total running time of the script: (0 minutes 0.070 seconds)

    Vector geometry conversion (vector_conversion.py)

    00:16.050

    00:15.937

    0.0 MB

    Plot unstructured mesh data (plotting.py)

    00:11.400

    00:11.446

    0.0 MB

    Regridding overview (regridder_overview.py)

    00:08.130

    00:08.105

    0.0 MB

    OverlapRegridder (overlap_regridder.py)

    00:04.047

    Select unstructured data (selection.py)

    00:04.063

    0.0 MB

    Select unstructured data (selection.py)

    00:04.034

    OverlapRegridder (overlap_regridder.py)

    00:04.036

    0.0 MB

    Partitioning (partitioning.py)

    00:03.951

    00:03.944

    0.0 MB

    Connectivity (connectivity.py)

    00:01.608

    00:01.719

    0.0 MB

    Quick overview (quick_overview.py)

    00:00.566

    00:00.585

    0.0 MB

    - + - + - + - + - + diff --git a/sample_data/xoxo.html b/sample_data/xoxo.html index b60b111b4..ba5ece407 100644 --- a/sample_data/xoxo.html +++ b/sample_data/xoxo.html @@ -449,7 +449,7 @@ ax.set_aspect(1) -

    Total running time of the script: (0 minutes 0.068 seconds)

    +

    Total running time of the script: (0 minutes 0.052 seconds)

    Elevation NL (elevation_nl.py)

    00:00.813

    00:00.742

    0.0 MB

    ADH San Diego (adh_san_diego.py)

    00:00.326

    00:00.295

    0.0 MB

    Disk (disk.py)

    00:00.168

    00:00.136

    0.0 MB

    Pronvinces NL (provinces_nl.py)

    00:00.086

    00:00.070

    0.0 MB

    Xoxo (xoxo.py)

    00:00.068

    00:00.052

    0.0 MB

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