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39011c715146b11dc78400c6d738240f4775aa42..a61d3a239ea6378913b2015bc8d4d4f186ce6747 100644 GIT binary patch delta 49 xcmez5|H*%YArEJoWs<46Ws14sWGfyA1aEUQPdqE5(d5U1=NXMQZx*r_1pt>053K+I delta 49 xcmez5|H*%YArEI#qIqhPd7`o9WGfyA1aEUQPdqE5+2qH9=NZj5Zx*r_1puoy5L*BM diff --git a/.doctrees/sample_data/elevation_nl.doctree b/.doctrees/sample_data/elevation_nl.doctree index eee933dff0a5d767624e2323a17ffde774c9097d..8fedd81a506a9e8d1b5a75c7cfef364189ff8fef 100644 GIT binary patch delta 36 jcmaFr|I~kj4-aRWWwN1Ra%!UGso?vMJ@7W9X delta 36 jcmaFr|I~kj4-aQjqPekIvRP8fso?vMJ?$ZnI diff --git a/.doctrees/sample_data/provinces_nl.doctree b/.doctrees/sample_data/provinces_nl.doctree index 76a24313338d33f16b189f688e8fa35d0aceec58..7b5895612a491cd9d2b947000c488afc7f596930 100644 GIT binary patch delta 20 ccmdn(z1w@kH$Fy_$=~_TGn#BZ&i_Re0Av0MBme*a delta 20 ccmdn(z1w@kH$Fzw$=~_TGn#Hb&i_Re0AvseCIA2c diff --git a/.doctrees/sample_data/sg_execution_times.doctree b/.doctrees/sample_data/sg_execution_times.doctree index b57b18265285a95fdea8d62ec9316d37d0a4f322..415f31faf7cc1e34686555c8f5538208c8625d5e 100644 GIT binary patch delta 147 zcmdn#wbN@u855)FX46FX46FNf?@$ZMGH+VNpQWVPIi8rFBZSource code for xugrid.ugrid.ugrid1d
         import meshkernel as mk
 
         if self._meshkernel is None:
-            self._meshkernel = mk.MeshKernel(is_geographic=False)
+            self._meshkernel = mk.MeshKernel(projection=mk.ProjectionType.CARTESIAN)
             self._meshkernel.mesh1d_set(self.mesh)
         return self._meshkernel
 
diff --git a/_modules/xugrid/ugrid/ugrid2d.html b/_modules/xugrid/ugrid/ugrid2d.html
index 5b91060ee..a8f1140c9 100644
--- a/_modules/xugrid/ugrid/ugrid2d.html
+++ b/_modules/xugrid/ugrid/ugrid2d.html
@@ -1100,7 +1100,7 @@ 
Source code for xugrid.ugrid.ugrid2d
         import meshkernel as mk
 
         if self._meshkernel is None:
-            self._meshkernel = mk.MeshKernel(is_geographic=False)
+            self._meshkernel = mk.MeshKernel(projection=mk.ProjectionType.CARTESIAN)
             self._meshkernel.mesh2d_set(self.mesh)
         return self._meshkernel
 
diff --git a/_sources/examples-dev/sg_execution_times.rst.txt b/_sources/examples-dev/sg_execution_times.rst.txt
index e23d51e19..840dfb254 100644
--- a/_sources/examples-dev/sg_execution_times.rst.txt
+++ b/_sources/examples-dev/sg_execution_times.rst.txt
@@ -6,8 +6,8 @@
 
 Computation times
 =================
-**00:01.300** total execution time for **examples-dev** files:
+**00:01.285** total execution time for **examples-dev** files:
 
 +----------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples-dev_voronoi.py` (``voronoi.py``) | 00:01.300 | 0.0 MB |
+| :ref:`sphx_glr_examples-dev_voronoi.py` (``voronoi.py``) | 00:01.285 | 0.0 MB |
 +----------------------------------------------------------+-----------+--------+
diff --git a/_sources/examples-dev/voronoi.rst.txt b/_sources/examples-dev/voronoi.rst.txt
index d4455cabf..298119f1d 100644
--- a/_sources/examples-dev/voronoi.rst.txt
+++ b/_sources/examples-dev/voronoi.rst.txt
@@ -630,7 +630,7 @@ The figure shows:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.300 seconds)
+   **Total running time of the script:** (0 minutes 1.285 seconds)
 
 
 .. _sphx_glr_download_examples-dev_voronoi.py:
diff --git a/_sources/examples/connectivity.rst.txt b/_sources/examples/connectivity.rst.txt
index 351a3b9f4..abe0ae142 100644
--- a/_sources/examples/connectivity.rst.txt
+++ b/_sources/examples/connectivity.rst.txt
@@ -129,7 +129,7 @@ By default, the border value for binary erosion is set to ``False`` (equal to
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -165,7 +165,7 @@ start by setting a single value in the center of the grid to ``True``.
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -200,7 +200,7 @@ alternative border value:
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -238,7 +238,7 @@ analyse connected parts of the mesh.
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -272,7 +272,7 @@ Tesselation.
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -316,7 +316,7 @@ the original.
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -355,7 +355,7 @@ We can break down one of the Voronoi tesselations from above into triangles:
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -409,7 +409,7 @@ the upper and lower parts:
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -439,7 +439,7 @@ We can now use Laplace interpolation to fill the gaps in the grid.
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -480,7 +480,7 @@ To illustrate, let's take a look at the connectivity matrix of the Xoxo grid.
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -516,14 +516,14 @@ locality:
  .. code-block:: none
 
 
-    
+    
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.296 seconds)
+   **Total running time of the script:** (0 minutes 1.295 seconds)
 
 
 .. _sphx_glr_download_examples_connectivity.py:
diff --git a/_sources/examples/overlap_regridder.rst.txt b/_sources/examples/overlap_regridder.rst.txt
index 5c1042c35..95dbd8c3d 100644
--- a/_sources/examples/overlap_regridder.rst.txt
+++ b/_sources/examples/overlap_regridder.rst.txt
@@ -112,7 +112,7 @@ some bathymetry) of the Netherlands, and a coarser target grid.
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -202,7 +202,7 @@ conservative methods, such as conductance:
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -280,7 +280,7 @@ To use our custom method, we provide at initialization of the OverlapRegridder:
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -320,7 +320,7 @@ function can deal with NaN values! -- hence ``nanpercentile`` rather than
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -331,7 +331,7 @@ function can deal with NaN values! -- hence ``nanpercentile`` rather than
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.992 seconds)
+   **Total running time of the script:** (0 minutes 4.030 seconds)
 
 
 .. _sphx_glr_download_examples_overlap_regridder.py:
diff --git a/_sources/examples/partitioning.rst.txt b/_sources/examples/partitioning.rst.txt
index a870a5697..7bc164ab3 100644
--- a/_sources/examples/partitioning.rst.txt
+++ b/_sources/examples/partitioning.rst.txt
@@ -76,7 +76,7 @@ into several parts.
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -145,7 +145,7 @@ We can easily plot this data to visualize the partitions:
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -213,7 +213,7 @@ merge these partitions back into one whole for post-processing:
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -275,7 +275,7 @@ data:
  .. code-block:: none
 
 
-    
+    
 
 
 
@@ -667,7 +667,7 @@ Note that partioning and merging does not preserve order!
     
<xarray.DataArray 'elevation' (mesh2d_nFaces: 5248)>
     array([False, False, False, ..., False, False, False])
     Coordinates:
-      * mesh2d_nFaces  (mesh2d_nFaces) int64 0 1 2 3 4 ... 5243 5244 5245 5246 5247

+      * mesh2d_nFaces  (mesh2d_nFaces) int64 0 1 2 3 4 ... 5243 5244 5245 5246 5247


@@ -1066,9 +1066,9 @@ original topology. ``reindex_like`` looks at the coordinates of both Coordinates: 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_nFaces (mesh2d_nFaces) int64 0 1 2 3 4 ... 5243 5244 5245 5246 5247 + * mesh2d_nFaces (mesh2d_nFaces) int64 0 1 2 3 4 ... 5243 5244 5245 5246 5247

@@ -1470,9 +1470,9 @@ reorder the data after merging. Coordinates: 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_nFaces (mesh2d_nFaces) int64 0 1 2 3 4 ... 5243 5244 5245 5246 5247 + * mesh2d_nFaces (mesh2d_nFaces) int64 0 1 2 3 4 ... 5243 5244 5245 5246 5247

@@ -1489,7 +1489,7 @@ partitions. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 3.926 seconds) + **Total running time of the script:** (0 minutes 3.877 seconds) .. _sphx_glr_download_examples_partitioning.py: diff --git a/_sources/examples/plotting.rst.txt b/_sources/examples/plotting.rst.txt index 1c122c3a1..7fd88f5c3 100644 --- a/_sources/examples/plotting.rst.txt +++ b/_sources/examples/plotting.rst.txt @@ -450,13 +450,13 @@ faces. 
<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'))


    • @@ -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 11.262 seconds) + **Total running time of the script:** (0 minutes 11.482 seconds) .. _sphx_glr_download_examples_plotting.py: diff --git a/_sources/examples/quick_overview.rst.txt b/_sources/examples/quick_overview.rst.txt index 15d268fa7..5f133958a 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 0.627 seconds) + **Total running time of the script:** (0 minutes 0.549 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 48960c5d2..1b5966151 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 8.085 seconds) + **Total running time of the script:** (0 minutes 8.151 seconds) .. _sphx_glr_download_examples_regridder_overview.py: diff --git a/_sources/examples/selection.rst.txt b/_sources/examples/selection.rst.txt index 264ae8f07..e012b8ca9 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 4.074 seconds) + **Total running time of the script:** (0 minutes 3.940 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 d574a5169..048e5a099 100644 --- a/_sources/examples/sg_execution_times.rst.txt +++ b/_sources/examples/sg_execution_times.rst.txt @@ -6,22 +6,22 @@ Computation times ================= -**00:49.182** total execution time for **examples** files: +**00:49.551** total execution time for **examples** files: +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_vector_conversion.py` (``vector_conversion.py``) | 00:15.920 | 0.0 MB | +| :ref:`sphx_glr_examples_vector_conversion.py` (``vector_conversion.py``) | 00:16.228 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_plotting.py` (``plotting.py``) | 00:11.262 | 0.0 MB | +| :ref:`sphx_glr_examples_plotting.py` (``plotting.py``) | 00:11.482 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_regridder_overview.py` (``regridder_overview.py``) | 00:08.085 | 0.0 MB | +| :ref:`sphx_glr_examples_regridder_overview.py` (``regridder_overview.py``) | 00:08.151 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_selection.py` (``selection.py``) | 00:04.074 | 0.0 MB | +| :ref:`sphx_glr_examples_overlap_regridder.py` (``overlap_regridder.py``) | 00:04.030 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_overlap_regridder.py` (``overlap_regridder.py``) | 00:03.992 | 0.0 MB | +| :ref:`sphx_glr_examples_selection.py` (``selection.py``) | 00:03.940 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_partitioning.py` (``partitioning.py``) | 00:03.926 | 0.0 MB | +| :ref:`sphx_glr_examples_partitioning.py` (``partitioning.py``) | 00:03.877 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_connectivity.py` (``connectivity.py``) | 00:01.296 | 0.0 MB | +| :ref:`sphx_glr_examples_connectivity.py` (``connectivity.py``) | 00:01.295 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_quick_overview.py` (``quick_overview.py``) | 00:00.627 | 0.0 MB | +| :ref:`sphx_glr_examples_quick_overview.py` (``quick_overview.py``) | 00:00.549 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ diff --git a/_sources/examples/vector_conversion.rst.txt b/_sources/examples/vector_conversion.rst.txt index caddb033a..1a13a659e 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 15.920 seconds) + **Total running time of the script:** (0 minutes 16.228 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 8f99fcb1f..e6c0ee02f 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 0.315 seconds) + **Total running time of the script:** (0 minutes 0.317 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 71e3a778a..62daa0e62 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 0.166 seconds) + **Total running time of the script:** (0 minutes 0.162 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 3a59a78c3..c9c98f817 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 - [] + [] diff --git a/_sources/sample_data/provinces_nl.rst.txt b/_sources/sample_data/provinces_nl.rst.txt index b5b37f92f..de579e06a 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 0.085 seconds) + **Total running time of the script:** (0 minutes 0.084 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 520b1805f..f754cbd08 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 ================= -**00:01.429** total execution time for **sample_data** files: +**00:01.425** total execution time for **sample_data** files: +---------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_sample_data_elevation_nl.py` (``elevation_nl.py``) | 00:00.796 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_adh_san_diego.py` (``adh_san_diego.py``) | 00:00.315 | 0.0 MB | +| :ref:`sphx_glr_sample_data_adh_san_diego.py` (``adh_san_diego.py``) | 00:00.317 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_disk.py` (``disk.py``) | 00:00.166 | 0.0 MB | +| :ref:`sphx_glr_sample_data_disk.py` (``disk.py``) | 00:00.162 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_provinces_nl.py` (``provinces_nl.py``) | 00:00.085 | 0.0 MB | +| :ref:`sphx_glr_sample_data_provinces_nl.py` (``provinces_nl.py``) | 00:00.084 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_xoxo.py` (``xoxo.py``) | 00:00.067 | 0.0 MB | +| :ref:`sphx_glr_sample_data_xoxo.py` (``xoxo.py``) | 00:00.066 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ diff --git a/_sources/sample_data/xoxo.rst.txt b/_sources/sample_data/xoxo.rst.txt index 5a6a96c33..c5ae9468f 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 0.067 seconds) + **Total running time of the script:** (0 minutes 0.066 seconds) .. _sphx_glr_download_sample_data_xoxo.py: diff --git a/examples-dev/sg_execution_times.html b/examples-dev/sg_execution_times.html index 8787b6da8..7a5814a3f 100644 --- a/examples-dev/sg_execution_times.html +++ b/examples-dev/sg_execution_times.html @@ -393,11 +393,11 @@

    Computation times#

    -

    00:01.300 total execution time for examples-dev files:

    +

    00:01.285 total execution time for examples-dev files:

    - + diff --git a/examples-dev/voronoi.html b/examples-dev/voronoi.html index 864ac45f9..f22786449 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 1.300 seconds)

    +

    Total running time of the script: (0 minutes 1.285 seconds)

     -connectivity
    <matplotlib.collections.PolyCollection object at 0x7fba7ef2f590>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7ff9b5ff4f10>
 
    
 
    
 
    By default, the border value for binary dilation is also set to
@@ -514,7 +514,7 @@ 
    Binary erosion and dilationuda.ugrid.plot()
    -connectivity
    <matplotlib.collections.PolyCollection object at 0x7fba72d6ba90>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7ff9b626c4d0>
 
    
 
    
 
    Now let’s run two dilations: one with the default border, and one with the
@@ -527,7 +527,7 @@ 
    Binary erosion and dilationiter1_boundary.ugrid.plot(ax=ax1)
    -connectivity
    <matplotlib.collections.PolyCollection object at 0x7fba7eb59690>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7ff9b5e1eb10>
 
    
 
    
 
@@ -543,7 +543,7 @@ 
    Connected Componentslabeled.ugrid.plot(cmap="RdBu")
    -connectivity
    <matplotlib.collections.PolyCollection object at 0x7fba73efb750>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7ff9b62de410>
 
    
 
    
 
@@ -555,7 +555,7 @@ 
    Centroidal Voronoi Tesselationxugrid.plot.line(voronoi_grid, color="black")
    -connectivity
    <matplotlib.collections.LineCollection object at 0x7fba80194a10>
+connectivity
    <matplotlib.collections.LineCollection object at 0x7ff9c232cb10>
 
    
 
    
 
    There are two alternative flavors to consider. We can fully ignore the
@@ -576,7 +576,7 @@ 
    Centroidal Voronoi Tesselationxugrid.plot.line(convex_exterior, ax=ax1, color="black")
    -connectivity
    <matplotlib.collections.LineCollection object at 0x7fba738c1350>
+connectivity
    <matplotlib.collections.LineCollection object at 0x7ff9b618f950>
 
    
 
    
 
@@ -592,7 +592,7 @@ 
    Triangulationxugrid.plot.line(triangulation, ax=ax1, color="black")
    -connectivity
    <matplotlib.collections.LineCollection object at 0x7fba73ed4f50>
+connectivity
    <matplotlib.collections.LineCollection object at 0x7ff9b5c15090>
 
    
 
    
 
@@ -623,7 +623,7 @@ 
    Laplace interpolationuda.ugrid.plot.line(ax=ax, color="black")
    -connectivity
    <matplotlib.collections.LineCollection object at 0x7fba736d2c10>
+connectivity
    <matplotlib.collections.LineCollection object at 0x7ff9b579c090>
 
    
 
    
 
    We can now use Laplace interpolation to fill the gaps in the grid.
    
@@ -631,7 +631,7 @@ 
    Laplace interpolationfilled.ugrid.plot(cmap="gist_rainbow", vmin=2.5, vmax=7.5)
    -connectivity
    <matplotlib.collections.PolyCollection object at 0x7fba73949450>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7ff9b5a0add0>
 
    
 
    
 
@@ -649,7 +649,7 @@ 
    Reverse-Cuthill McKeeax.imshow(connectivity, cmap="Greys")
    -connectivity
    <matplotlib.image.AxesImage object at 0x7fba73fe2e90>
+connectivity
    <matplotlib.image.AxesImage object at 0x7ff9b4df3090>
 
    
 
    
 
    The bandwidth of this matrix is poor. Connections are all over the place: low
@@ -663,10 +663,10 @@ 
    Reverse-Cuthill McKeeax.imshow(connectivity, cmap="Greys")
    -connectivity
    <matplotlib.image.AxesImage object at 0x7fba7393a350>
+connectivity
    <matplotlib.image.AxesImage object at 0x7ff9b60d3090>
 
    
 
    
-
    Total running time of the script: (0 minutes 1.296 seconds)
    
+
    Total running time of the script: (0 minutes 1.295 seconds)
    -overlap regridder
    <matplotlib.collections.LineCollection object at 0x7fba737a1e90>
+overlap regridder
    <matplotlib.collections.LineCollection object at 0x7ff9b5a87910>
 
    
 
    
 
    
@@ -523,7 +523,7 @@ 
    Relative overlapresult.ugrid.plot()
    -overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7fba7cbd9b50>
+overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7ff9c0dfeb10>
 
    
 
    
 
@@ -565,7 +565,7 @@ 
    Custom reductionsresult.ugrid.plot(vmin=-20, vmax=90, cmap="terrain")
    -overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7fba72d10c50>
+overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7ff9b626c5d0>
 
    
 
    
 
    Not every reduction uses the weights argument. For example, computing an
@@ -582,10 +582,10 @@ 
    Custom reductionsresult.ugrid.plot(vmin=-20, vmax=90, cmap="terrain")
    -overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7fba801763d0>
+overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7ff9b4ddbe10>
 
    
 
    
-
    Total running time of the script: (0 minutes 3.992 seconds)
    
+
    Total running time of the script: (0 minutes 4.030 seconds)
    -partitioning
    <matplotlib.collections.PolyCollection object at 0x7fba74a63a10>
+partitioning
    <matplotlib.collections.PolyCollection object at 0x7ff9b6df9d10>
 
    
 
    
 
    Let’s start by dividing the grid into four parts:
    
@@ -476,7 +476,7 @@ 
    Partition the gridlabels.ugrid.plot()
    -partitioning
    <matplotlib.collections.PolyCollection object at 0x7fba73c5c7d0>
+partitioning
    <matplotlib.collections.PolyCollection object at 0x7ff9b63be190>
 
    
 
    
 
    Not quite the twelve provinces of the Netherlands!
    
@@ -501,7 +501,7 @@ 
    Merging partitionsmerged.ugrid.plot(vmin=-20, vmax=90, cmap="terrain")
    -partitioning
    <matplotlib.collections.PolyCollection object at 0x7fba80181b90>
+partitioning
    <matplotlib.collections.PolyCollection object at 0x7ff9b57b2cd0>
 
    
 
    
 
@@ -522,7 +522,7 @@ 
    Partitioning grids without datamerged_grid.plot()
    -partitioning
    <matplotlib.collections.LineCollection object at 0x7fba72d69590>
+partitioning
    <matplotlib.collections.LineCollection object at 0x7ff9b5fae990>
 
    
 
    
 
@@ -899,7 +899,7 @@ 
    Preserving orderTotal running time of the script: (0 minutes 3.926 seconds)
    
+
    Total running time of the script: (0 minutes 3.877 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
    <matplotlib.collections.PolyCollection object at 0x7fba72d6bb10>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7ff9b4e2d110>
 
    
 
    
 
    Like Xarray, the axes and the colorbar are labeled automatically using the
@@ -980,7 +980,7 @@ 
    UgridDataArray
    ds["edge_z"].ugrid.plot()
    -plotting
    <matplotlib.collections.LineCollection object at 0x7fba74040b90>
+plotting
    <matplotlib.collections.LineCollection object at 0x7ff9b6280710>
 
    
 
    
 
    The method called by default depends on the type of the data:
    
@@ -1009,7 +1009,7 @@ 
    UgridDataArrayds["node_z"].ugrid.plot(ax=ax2)
    -plotting
    <matplotlib.collections.PolyCollection object at 0x7fba80188050>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7ff9b62ef7d0>
 
    
 
    
 
    We can also exactly control the type of plot we want. For example, to plot
@@ -1017,7 +1017,7 @@ 
    UgridDataArray
    ds["face_z"].ugrid.plot.contourf()
    -plotting
    <matplotlib.tri._tricontour.TriContourSet object at 0x7fba802943d0>
+plotting
    <matplotlib.tri._tricontour.TriContourSet object at 0x7ff9c2408450>
 
    
 
    
 
    We can also overlay this data with the edges:
    
@@ -1026,7 +1026,7 @@ 
    UgridDataArrayds["face_z"].ugrid.plot.line(color="black")
    -plotting
    <matplotlib.collections.LineCollection object at 0x7fba736f2c10>
+plotting
    <matplotlib.collections.LineCollection object at 0x7ff9c24d1cd0>
 
    
 
    
 
    In general, there has to be data associated with the mesh topology before a
@@ -1077,7 +1077,7 @@ 
    Other types of plotds["node_z"].ugrid.plot.scatter(ax=axes[4, 2])
    -plotting
    <matplotlib.collections.PathCollection object at 0x7fba7cb23150>
+plotting
    <matplotlib.collections.PathCollection object at 0x7ff9b6176910>
 
    
 
    
 
    The surface methods generate 3D surface plots:
    
@@ -1088,7 +1088,7 @@ 
    Other types of plotds["node_z"].ugrid.plot.surface(ax=ax1)
    -plotting
    <mpl_toolkits.mplot3d.art3d.Poly3DCollection object at 0x7fba74087a10>
+plotting
    <mpl_toolkits.mplot3d.art3d.Poly3DCollection object at 0x7ff9b4e39c90>
 
    
 
    
 
@@ -1100,7 +1100,7 @@ 
    Additional Arguments
    ds["face_z"].ugrid.plot(cmap="RdBu", levels=8, yincrease=False)
    -plotting
    <matplotlib.collections.PolyCollection object at 0x7fba73e40690>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7ff9c11dc610>
 
    
 
    
 
@@ -1114,7 +1114,7 @@ 
    As a functionxugrid.plot.pcolormesh(grid, da)
    -plotting
    <matplotlib.collections.PolyCollection object at 0x7fba73925f50>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7ff9b5ddabd0>
 
    
 
    
 
@@ -1128,10 +1128,10 @@ 
    Xarray DataArray plotsdepth.isel(node=1000).plot()
    -node_x = 4.84e+05, node_y = 3.614e+06, node = 1000
    [<matplotlib.lines.Line2D object at 0x7fba7374a6d0>]
+node_x = 4.84e+05, node_y = 3.614e+06, node = 1000
    [<matplotlib.lines.Line2D object at 0x7ff9b5e06410>]
 
    
 
    
-
    Total running time of the script: (0 minutes 11.262 seconds)
    
+
    Total running time of the script: (0 minutes 11.482 seconds)

    Centroid Voronoi Tesselation (CVT) (voronoi.py)

    00:01.300

    00:01.285

    0.0 MB
    - + - + - + - - + + - - + + - + - + - + diff --git a/examples/vector_conversion.html b/examples/vector_conversion.html index c09e7b3e7..6000cfa3f 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 0x7fba740cef50>
+vector conversion
    <matplotlib.collections.PolyCollection object at 0x7ff9b4e16c90>
 
    
 
    
 
    
@@ -859,9 +859,9 @@ 
    Conversion from GeoDataFrame
@@ -897,7 +897,7 @@ 
    “Rasterizing”, or “burning” vector geometriesburned.ugrid.plot()
    -vector conversion
    <matplotlib.collections.PolyCollection object at 0x7fba7efc2b10>
+vector conversion
    <matplotlib.collections.PolyCollection object at 0x7ff9b5d89450>
 
    
 
    
 
    This makes it very easy to classify and group data. Let’s say
@@ -1277,9 +1277,9 @@ 
    “Rasterizing”, or “burning” vector geometries
    • 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
    <matplotlib.collections.PolyCollection object at 0x7fba7ef79d90>
+vector conversion
    <matplotlib.collections.PolyCollection object at 0x7ff9b58dc610>
 
    
 
    
 
    Note that all_touched=True is less suitable when differently valued
@@ -1379,7 +1379,7 @@ 
    “Rasterizing”, or “burning” vector geometriesburned.ugrid.plot()
    -vector conversion
    <matplotlib.collections.PolyCollection object at 0x7fba73973810>
+vector conversion
    <matplotlib.collections.PolyCollection object at 0x7ff9c2354610>
 
    
 
    
 
@@ -1436,7 +1436,7 @@ 
    Snap to gridTotal running time of the script: (0 minutes 15.920 seconds)
    
+
    Total running time of the script: (0 minutes 16.228 seconds)

    Vector geometry conversion (vector_conversion.py)

    00:15.920

    00:16.228

    0.0 MB

    Plot unstructured mesh data (plotting.py)

    00:11.262

    00:11.482

    0.0 MB

    Regridding overview (regridder_overview.py)

    00:08.085

    00:08.151

    0.0 MB

    Select unstructured data (selection.py)

    00:04.074

    OverlapRegridder (overlap_regridder.py)

    00:04.030

    0.0 MB

    OverlapRegridder (overlap_regridder.py)

    00:03.992

    Select unstructured data (selection.py)

    00:03.940

    0.0 MB

    Partitioning (partitioning.py)

    00:03.926

    00:03.877

    0.0 MB

    Connectivity (connectivity.py)

    00:01.296

    00:01.295

    0.0 MB

    Quick overview (quick_overview.py)

    00:00.627

    00:00.549

    0.0 MB
    @@ -401,19 +401,19 @@ - + - + - + - + diff --git a/sample_data/xoxo.html b/sample_data/xoxo.html index 5f8eb0908..51b615cbc 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 0.067 seconds)

    +

    Total running time of the script: (0 minutes 0.066 seconds)

    Elevation NL (elevation_nl.py)

    0.0 MB

    ADH San Diego (adh_san_diego.py)

    00:00.315

    00:00.317

    0.0 MB

    Disk (disk.py)

    00:00.166

    00:00.162

    0.0 MB

    Pronvinces NL (provinces_nl.py)

    00:00.085

    00:00.084

    0.0 MB

    Xoxo (xoxo.py)

    00:00.067

    00:00.066

    0.0 MB