diff --git a/.buildinfo b/.buildinfo index 0dba2af8d..73324e587 100644 --- a/.buildinfo +++ b/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 6a9b5732278562635a09cd81ea36394c +config: c404042242496ea521d13e5a27b3ee1c tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle index 4270b94bb..42f078d27 100644 Binary files a/.doctrees/environment.pickle and b/.doctrees/environment.pickle differ diff --git a/.doctrees/examples-dev/sg_execution_times.doctree b/.doctrees/examples-dev/sg_execution_times.doctree index 3dab2af2d..80c99ea21 100644 Binary files a/.doctrees/examples-dev/sg_execution_times.doctree and b/.doctrees/examples-dev/sg_execution_times.doctree differ diff --git a/.doctrees/examples-dev/voronoi.doctree b/.doctrees/examples-dev/voronoi.doctree index d30a75330..5fb1c25ca 100644 Binary files a/.doctrees/examples-dev/voronoi.doctree and b/.doctrees/examples-dev/voronoi.doctree differ diff --git a/.doctrees/examples/connectivity.doctree b/.doctrees/examples/connectivity.doctree index 1ba4f1e0b..4ea648d83 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a/.doctrees/sample_data/provinces_nl.doctree and b/.doctrees/sample_data/provinces_nl.doctree differ diff --git a/.doctrees/sample_data/sg_execution_times.doctree b/.doctrees/sample_data/sg_execution_times.doctree index 255c48dd3..0a4a5abab 100644 Binary files a/.doctrees/sample_data/sg_execution_times.doctree and b/.doctrees/sample_data/sg_execution_times.doctree differ diff --git a/_sources/examples-dev/sg_execution_times.rst.txt b/_sources/examples-dev/sg_execution_times.rst.txt index addbaa620..9fc391c06 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 ================= -**00:01.209** total execution time for **examples-dev** files: +**00:01.134** total execution time for **examples-dev** files: +----------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples-dev_voronoi.py` (``voronoi.py``) | 00:01.209 | 0.0 MB | +| :ref:`sphx_glr_examples-dev_voronoi.py` (``voronoi.py``) | 00:01.134 | 0.0 MB | +----------------------------------------------------------+-----------+--------+ diff --git a/_sources/examples-dev/voronoi.rst.txt b/_sources/examples-dev/voronoi.rst.txt index b2a9e25d0..21714bf9d 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 1.209 seconds) + **Total running time of the script:** (0 minutes 1.134 seconds) .. _sphx_glr_download_examples-dev_voronoi.py: diff --git a/_sources/examples/connectivity.rst.txt b/_sources/examples/connectivity.rst.txt index 9f3b1c4ad..4e789d353 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 - + @@ -477,7 +477,7 @@ interpolation. .. code-block:: none - + @@ -518,7 +518,7 @@ To illustrate, let's take a look at the connectivity matrix of the Xoxo grid. .. code-block:: none - + @@ -554,14 +554,14 @@ locality: .. code-block:: none - + .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 1.668 seconds) + **Total running time of the script:** (0 minutes 1.685 seconds) .. _sphx_glr_download_examples_connectivity.py: diff --git a/_sources/examples/overlap_regridder.rst.txt b/_sources/examples/overlap_regridder.rst.txt index 75e527c51..a32f88bb1 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 4.030 seconds) + **Total running time of the script:** (0 minutes 4.002 seconds) .. _sphx_glr_download_examples_overlap_regridder.py: diff --git a/_sources/examples/partitioning.rst.txt b/_sources/examples/partitioning.rst.txt index 757f5ffbd..8aada2c64 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 3.910 seconds) + **Total running time of the script:** (0 minutes 3.869 seconds) .. _sphx_glr_download_examples_partitioning.py: diff --git a/_sources/examples/plotting.rst.txt b/_sources/examples/plotting.rst.txt index e822c3b58..7c77f3c6b 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_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
       * 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
     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 11.556 seconds) + **Total running time of the script:** (0 minutes 11.336 seconds) .. _sphx_glr_download_examples_plotting.py: diff --git a/_sources/examples/quick_overview.rst.txt b/_sources/examples/quick_overview.rst.txt index 6854b5680..9a2f17e6b 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_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
       * 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
     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 0.554 seconds) + **Total running time of the script:** (0 minutes 0.562 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 b9d48fe0a..f2aac02a5 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 7.991 seconds) + **Total running time of the script:** (0 minutes 7.850 seconds) .. _sphx_glr_download_examples_regridder_overview.py: diff --git a/_sources/examples/selection.rst.txt b/_sources/examples/selection.rst.txt index c5706460a..9a0e58c1e 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 4.066 seconds) + **Total running time of the script:** (0 minutes 4.047 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 557523eab..c10b072c7 100644 --- a/_sources/examples/sg_execution_times.rst.txt +++ b/_sources/examples/sg_execution_times.rst.txt @@ -6,22 +6,22 @@ Computation times ================= -**00:49.563** total execution time for **examples** files: +**00:49.084** total execution time for **examples** files: +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_vector_conversion.py` (``vector_conversion.py``) | 00:15.788 | 0.0 MB | +| :ref:`sphx_glr_examples_vector_conversion.py` (``vector_conversion.py``) | 00:15.733 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_plotting.py` (``plotting.py``) | 00:11.556 | 0.0 MB | +| :ref:`sphx_glr_examples_plotting.py` (``plotting.py``) | 00:11.336 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_regridder_overview.py` (``regridder_overview.py``) | 00:07.991 | 0.0 MB | +| :ref:`sphx_glr_examples_regridder_overview.py` (``regridder_overview.py``) | 00:07.850 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_selection.py` (``selection.py``) | 00:04.066 | 0.0 MB | +| :ref:`sphx_glr_examples_selection.py` (``selection.py``) | 00:04.047 | 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``) | 00:04.002 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_partitioning.py` (``partitioning.py``) | 00:03.910 | 0.0 MB | +| :ref:`sphx_glr_examples_partitioning.py` (``partitioning.py``) | 00:03.869 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_connectivity.py` (``connectivity.py``) | 00:01.668 | 0.0 MB | +| :ref:`sphx_glr_examples_connectivity.py` (``connectivity.py``) | 00:01.685 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_quick_overview.py` (``quick_overview.py``) | 00:00.554 | 0.0 MB | +| :ref:`sphx_glr_examples_quick_overview.py` (``quick_overview.py``) | 00:00.562 | 0.0 MB | +----------------------------------------------------------------------------+-----------+--------+ diff --git a/_sources/examples/vector_conversion.rst.txt b/_sources/examples/vector_conversion.rst.txt index 55c97acf6..56d76a543 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 15.788 seconds) + **Total running time of the script:** (0 minutes 15.733 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 baa94949b..5b707208e 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 0.320 seconds) + **Total running time of the script:** (0 minutes 0.324 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 a1b8a6136..7125fbcc3 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 0.163 seconds) + **Total running time of the script:** (0 minutes 0.164 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 d44c6fa57..9cf985ec6 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 0.814 seconds) + **Total running time of the script:** (0 minutes 0.807 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 b5b37f92f..21247ca7d 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 0.071 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 177d1dbd2..0e29aeca2 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 ================= -**00:01.449** total execution time for **sample_data** files: +**00:01.433** total execution time for **sample_data** files: +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_elevation_nl.py` (``elevation_nl.py``) | 00:00.814 | 0.0 MB | +| :ref:`sphx_glr_sample_data_elevation_nl.py` (``elevation_nl.py``) | 00:00.807 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_adh_san_diego.py` (``adh_san_diego.py``) | 00:00.320 | 0.0 MB | +| :ref:`sphx_glr_sample_data_adh_san_diego.py` (``adh_san_diego.py``) | 00:00.324 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_sample_data_disk.py` (``disk.py``) | 00:00.163 | 0.0 MB | +| :ref:`sphx_glr_sample_data_disk.py` (``disk.py``) | 00:00.164 | 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``) | 00:00.071 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_sample_data_xoxo.py` (``xoxo.py``) | 00:00.067 | 0.0 MB | +---------------------------------------------------------------------+-----------+--------+ diff --git a/examples-dev/sg_execution_times.html b/examples-dev/sg_execution_times.html index cd62b201e..8b407181d 100644 --- a/examples-dev/sg_execution_times.html +++ b/examples-dev/sg_execution_times.html @@ -393,11 +393,11 @@

    Computation times#

    -

    00:01.209 total execution time for examples-dev files:

    +

    00:01.134 total execution time for examples-dev files:

    - + diff --git a/examples-dev/voronoi.html b/examples-dev/voronoi.html index e98419373..6b680832d 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 1.209 seconds)

    +

    Total running time of the script: (0 minutes 1.134 seconds)

     -connectivity
    <matplotlib.collections.PolyCollection object at 0x7faa17b51e90>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7f0eca82ac90>
 
    
 
    
 
    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 0x7faa17753550>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7f0ebe4db050>
 
    
 
    
 
    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 0x7faa0b4b6e50>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7f0ec93ef510>
 
    
 
    
 
@@ -543,7 +543,7 @@ 
    Connected Componentslabeled.ugrid.plot(cmap="RdBu")
    -connectivity
    <matplotlib.collections.PolyCollection object at 0x7faa0a504990>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7f0ebd68bc50>
 
    
 
    
 
@@ -555,7 +555,7 @@ 
    Centroidal Voronoi Tesselationxugrid.plot.line(voronoi_grid, color="black")
    -connectivity
    <matplotlib.collections.LineCollection object at 0x7faa15f78250>
+connectivity
    <matplotlib.collections.LineCollection object at 0x7f0ec938c350>
 
    
 
    
 
    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 0x7faa0b41a090>
+connectivity
    <matplotlib.collections.LineCollection object at 0x7f0ebe6d7f90>
 
    
 
    
 
@@ -592,7 +592,7 @@ 
    Triangulationxugrid.plot.line(triangulation, ax=ax1, color="black")
    -connectivity
    <matplotlib.collections.LineCollection object at 0x7faa0a4b8a90>
+connectivity
    <matplotlib.collections.LineCollection object at 0x7f0ebe265f90>
 
    
 
    
 
@@ -623,7 +623,7 @@ 
    Laplace interpolationuda.ugrid.plot.line(ax=ax, color="black")
    -connectivity
    <matplotlib.collections.LineCollection object at 0x7faa0a2110d0>
+connectivity
    <matplotlib.collections.LineCollection object at 0x7f0ec93eb950>
 
    
 
    
 
    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 0x7faa0b047910>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7f0ebe426e10>
 
    
 
    
 
    Laplace interpolation can also be used on the nodes of a grid.
@@ -647,7 +647,7 @@ 
    Laplace interpolationdisk_filled.ugrid.plot(ax=ax2)
    -connectivity
    <matplotlib.collections.PolyCollection object at 0x7faa0b299910>
+connectivity
    <matplotlib.collections.PolyCollection object at 0x7f0ebd271810>
 
    
 
    
 
@@ -665,7 +665,7 @@ 
    Reverse-Cuthill McKeeax.imshow(connectivity, cmap="Greys")
    -connectivity
    <matplotlib.image.AxesImage object at 0x7faa0a5b1f50>
+connectivity
    <matplotlib.image.AxesImage object at 0x7f0ebd663990>
 
    
 
    
 
    The bandwidth of this matrix is poor. Connections are all over the place: low
@@ -679,10 +679,10 @@ 
    Reverse-Cuthill McKeeax.imshow(connectivity, cmap="Greys")
    -connectivity
    <matplotlib.image.AxesImage object at 0x7faa163e0b10>
+connectivity
    <matplotlib.image.AxesImage object at 0x7f0ebd3d9a90>
 
    
 
    
-
    Total running time of the script: (0 minutes 1.668 seconds)
    
+
    Total running time of the script: (0 minutes 1.685 seconds)
    -overlap regridder
    <matplotlib.collections.LineCollection object at 0x7faa0b474a10>
+overlap regridder
    <matplotlib.collections.LineCollection object at 0x7f0ebe2b0050>
 
    
 
    
 
    
@@ -523,7 +523,7 @@ 
    Relative overlapresult.ugrid.plot()
    -overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7faa0b6c7cd0>
+overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7f0ebe8b8ad0>
 
    
 
    
 
@@ -565,7 +565,7 @@ 
    Custom reductionsresult.ugrid.plot(vmin=-20, vmax=90, cmap="terrain")
    -overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7faa15f18050>
+overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7f0eca831750>
 
    
 
    
 
    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 0x7faa0a4a4590>
+overlap regridder
    <matplotlib.collections.PolyCollection object at 0x7f0eca833050>
 
    
 
    
-
    Total running time of the script: (0 minutes 4.030 seconds)
    
+
    Total running time of the script: (0 minutes 4.002 seconds)
    -partitioning
    <matplotlib.collections.PolyCollection object at 0x7faa0bf58c90>
+partitioning
    <matplotlib.collections.PolyCollection object at 0x7f0ebf129750>
 
    
 
    
 
    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 0x7faa1755f110>
+partitioning
    <matplotlib.collections.PolyCollection object at 0x7f0ebe853050>
 
    
 
    
 
    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 0x7faa17767110>
+partitioning
    <matplotlib.collections.PolyCollection object at 0x7f0ebf2fb050>
 
    
 
    
 
@@ -522,7 +522,7 @@ 
    Partitioning grids without datamerged_grid.plot()
    -partitioning
    <matplotlib.collections.LineCollection object at 0x7faa0a211e50>
+partitioning
    <matplotlib.collections.LineCollection object at 0x7f0ebd3f4690>
 
    
 
    
 
@@ -899,7 +899,7 @@ 
    Preserving orderTotal running time of the script: (0 minutes 3.910 seconds)
    
+
    Total running time of the script: (0 minutes 3.869 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 0x7faa0a21ee90>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7f0ebd3f6f50>
 
    
 
    
 
    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 0x7faa0a349e50>
+plotting
    <matplotlib.collections.LineCollection object at 0x7f0ebd710810>
 
    
 
    
 
    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 0x7faa0af99910>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7f0ebd3f5710>
 
    
 
    
 
    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 0x7faa0a353310>
+plotting
    <matplotlib.tri._tricontour.TriContourSet object at 0x7f0ec736ea10>
 
    
 
    
 
    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 0x7faa15f44610>
+plotting
    <matplotlib.collections.LineCollection object at 0x7f0ebe951990>
 
    
 
    
 
    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 0x7faa15f779d0>
+plotting
    <matplotlib.collections.PathCollection object at 0x7f0ebf22ba10>
 
    
 
    
 
    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 0x7faa0b5d6e50>
+plotting
    <mpl_toolkits.mplot3d.art3d.Poly3DCollection object at 0x7f0ebe5a6fd0>
 
    
 
    
 
@@ -1100,7 +1100,7 @@ 
    Additional Arguments
    ds["face_z"].ugrid.plot(cmap="RdBu", levels=8, yincrease=False)
    -plotting
    <matplotlib.collections.PolyCollection object at 0x7faa0a2ff110>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7f0ec93813d0>
 
    
 
    
 
@@ -1114,7 +1114,7 @@ 
    As a functionxugrid.plot.pcolormesh(grid, da)
    -plotting
    <matplotlib.collections.PolyCollection object at 0x7faa0b1bc810>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7f0ebe63d5d0>
 
    
 
    
 
@@ -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 0x7faa0b44d490>]
+node_x = 4.84e+05, node_y = 3.614e+06, node = 1000
    [<matplotlib.lines.Line2D object at 0x7f0ebe27fb90>]
 
    
 
    
-
    Total running time of the script: (0 minutes 11.556 seconds)
    
+
    Total running time of the script: (0 minutes 11.336 seconds)

    Centroid Voronoi Tesselation (CVT) (voronoi.py)

    00:01.209

    00:01.134

    0.0 MB
    - + - + - + - + - + - + - + - + diff --git a/examples/vector_conversion.html b/examples/vector_conversion.html index 83310756b..1110550ce 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 0x7faa1689ac50>
+vector conversion
    <matplotlib.collections.PolyCollection object at 0x7f0eca941810>
 
    
 
    
 
    
@@ -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 0x7faa0b5bd0d0>
+vector conversion
    <matplotlib.collections.PolyCollection object at 0x7f0ecaa41490>
 
    
 
    
 
    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 0x7faa168cf110>
+vector conversion
    <matplotlib.collections.PolyCollection object at 0x7f0ebe49b090>
 
    
 
    
 
    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 0x7faa0b404690>
+vector conversion
    <matplotlib.collections.PolyCollection object at 0x7f0ebe67ddd0>
 
    
 
    
 
@@ -1436,7 +1436,7 @@ 
    Snap to gridTotal running time of the script: (0 minutes 15.788 seconds)
    
+
    Total running time of the script: (0 minutes 15.733 seconds)
    -

    Total running time of the script: (0 minutes 0.085 seconds)

    +

    Total running time of the script: (0 minutes 0.071 seconds)

    Vector geometry conversion (vector_conversion.py)

    00:15.788

    00:15.733

    0.0 MB

    Plot unstructured mesh data (plotting.py)

    00:11.556

    00:11.336

    0.0 MB

    Regridding overview (regridder_overview.py)

    00:07.991

    00:07.850

    0.0 MB

    Select unstructured data (selection.py)

    00:04.066

    00:04.047

    0.0 MB

    OverlapRegridder (overlap_regridder.py)

    00:04.030

    00:04.002

    0.0 MB

    Partitioning (partitioning.py)

    00:03.910

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"titles": ["API Reference", "xugrid.BarycentricInterpolator", "xugrid.CentroidLocatorRegridder", "xugrid.OverlapRegridder", "xugrid.RelativeOverlapRegridder", "xugrid.Ugrid1d", "xugrid.Ugrid1d.assign_edge_coords", "xugrid.Ugrid1d.assign_node_coords", "xugrid.Ugrid1d.attrs", "xugrid.Ugrid1d.bounds", "xugrid.Ugrid1d.contract_vertices", "xugrid.Ugrid1d.copy", "xugrid.Ugrid1d.dimensions", "xugrid.Ugrid1d.edge_bounds", "xugrid.Ugrid1d.edge_coordinates", "xugrid.Ugrid1d.edge_dimension", "xugrid.Ugrid1d.edge_x", "xugrid.Ugrid1d.edge_y", "xugrid.Ugrid1d.from_dataset", "xugrid.Ugrid1d.from_geodataframe", "xugrid.Ugrid1d.from_meshkernel", "xugrid.Ugrid1d.from_shapely", "xugrid.Ugrid1d.isel", "xugrid.Ugrid1d.merge_partitions", "xugrid.Ugrid1d.mesh", "xugrid.Ugrid1d.meshkernel", "xugrid.Ugrid1d.n_edge", "xugrid.Ugrid1d.n_node", "xugrid.Ugrid1d.node_coordinates", "xugrid.Ugrid1d.node_dimension", "xugrid.Ugrid1d.node_edge_connectivity", "xugrid.Ugrid1d.node_node_connectivity", "xugrid.Ugrid1d.plot", "xugrid.Ugrid1d.reindex_like", "xugrid.Ugrid1d.rename", "xugrid.Ugrid1d.sel", "xugrid.Ugrid1d.set_crs", "xugrid.Ugrid1d.set_node_coords", "xugrid.Ugrid1d.to_crs", "xugrid.Ugrid1d.to_dataset", "xugrid.Ugrid1d.to_shapely", "xugrid.Ugrid1d.topological_sort_by_dfs", "xugrid.Ugrid1d.topology_dimension", "xugrid.Ugrid1d.topology_subset", "xugrid.Ugrid2d", "xugrid.Ugrid2d.area", "xugrid.Ugrid2d.assign_edge_coords", "xugrid.Ugrid2d.assign_face_coords", "xugrid.Ugrid2d.assign_node_coords", "xugrid.Ugrid2d.attrs", "xugrid.Ugrid2d.bounding_polygon", "xugrid.Ugrid2d.bounds", "xugrid.Ugrid2d.celltree", "xugrid.Ugrid2d.centroid_triangulation", "xugrid.Ugrid2d.centroids", "xugrid.Ugrid2d.circumcenters", "xugrid.Ugrid2d.compute_barycentric_weights", "xugrid.Ugrid2d.copy", "xugrid.Ugrid2d.dimensions", "xugrid.Ugrid2d.edge_bounds", "xugrid.Ugrid2d.edge_coordinates", "xugrid.Ugrid2d.edge_dimension", "xugrid.Ugrid2d.edge_node_connectivity", "xugrid.Ugrid2d.edge_x", "xugrid.Ugrid2d.edge_y", "xugrid.Ugrid2d.exterior_edges", "xugrid.Ugrid2d.exterior_faces", "xugrid.Ugrid2d.face_bounds", "xugrid.Ugrid2d.face_coordinates", "xugrid.Ugrid2d.face_dimension", "xugrid.Ugrid2d.face_edge_connectivity", "xugrid.Ugrid2d.face_face_connectivity", "xugrid.Ugrid2d.face_x", "xugrid.Ugrid2d.face_y", "xugrid.Ugrid2d.from_dataset", "xugrid.Ugrid2d.from_geodataframe", "xugrid.Ugrid2d.from_meshkernel", "xugrid.Ugrid2d.from_shapely", "xugrid.Ugrid2d.from_structured", "xugrid.Ugrid2d.from_structured_bounds", "xugrid.Ugrid2d.from_structured_intervals1d", "xugrid.Ugrid2d.from_structured_intervals2d", "xugrid.Ugrid2d.from_structured_multicoord", "xugrid.Ugrid2d.intersect_edges", "xugrid.Ugrid2d.intersect_line", "xugrid.Ugrid2d.intersect_linestring", "xugrid.Ugrid2d.isel", "xugrid.Ugrid2d.label_partitions", "xugrid.Ugrid2d.locate_bounding_box", "xugrid.Ugrid2d.locate_points", "xugrid.Ugrid2d.merge_partitions", "xugrid.Ugrid2d.mesh", "xugrid.Ugrid2d.meshkernel", "xugrid.Ugrid2d.n_edge", "xugrid.Ugrid2d.n_face", "xugrid.Ugrid2d.n_node", "xugrid.Ugrid2d.node_coordinates", "xugrid.Ugrid2d.node_dimension", "xugrid.Ugrid2d.node_edge_connectivity", "xugrid.Ugrid2d.node_face_connectivity", "xugrid.Ugrid2d.node_node_connectivity", "xugrid.Ugrid2d.partition", "xugrid.Ugrid2d.perimeter", "xugrid.Ugrid2d.plot", "xugrid.Ugrid2d.rasterize", "xugrid.Ugrid2d.rasterize_like", "xugrid.Ugrid2d.reindex_like", "xugrid.Ugrid2d.rename", "xugrid.Ugrid2d.reverse_cuthill_mckee", "xugrid.Ugrid2d.sel", "xugrid.Ugrid2d.sel_points", "xugrid.Ugrid2d.set_crs", "xugrid.Ugrid2d.set_node_coords", "xugrid.Ugrid2d.tesselate_centroidal_voronoi", "xugrid.Ugrid2d.tesselate_circumcenter_voronoi", "xugrid.Ugrid2d.to_crs", "xugrid.Ugrid2d.to_dataset", "xugrid.Ugrid2d.to_nonperiodic", "xugrid.Ugrid2d.to_periodic", "xugrid.Ugrid2d.to_shapely", "xugrid.Ugrid2d.topology_dimension", "xugrid.Ugrid2d.topology_subset", "xugrid.Ugrid2d.triangulate", "xugrid.Ugrid2d.triangulation", "xugrid.Ugrid2d.validate_edge_node_connectivity", "xugrid.Ugrid2d.voronoi_topology", "xugrid.UgridDataArray", "xugrid.UgridDataArray.from_structured", "xugrid.UgridDataArray.ugrid", "xugrid.UgridDataArrayAccessor", "xugrid.UgridDataArrayAccessor.assign_edge_coords", "xugrid.UgridDataArrayAccessor.assign_face_coords", "xugrid.UgridDataArrayAccessor.assign_node_coords", "xugrid.UgridDataArrayAccessor.binary_dilation", "xugrid.UgridDataArrayAccessor.binary_erosion", "xugrid.UgridDataArrayAccessor.bounds", "xugrid.UgridDataArrayAccessor.connected_components", "xugrid.UgridDataArrayAccessor.crs", "xugrid.UgridDataArrayAccessor.grids", "xugrid.UgridDataArrayAccessor.intersect_line", "xugrid.UgridDataArrayAccessor.intersect_linestring", "xugrid.UgridDataArrayAccessor.laplace_interpolate", "xugrid.UgridDataArrayAccessor.name", "xugrid.UgridDataArrayAccessor.names", "xugrid.UgridDataArrayAccessor.partition", "xugrid.UgridDataArrayAccessor.partition_by_label", "xugrid.UgridDataArrayAccessor.rasterize", "xugrid.UgridDataArrayAccessor.rasterize_like", "xugrid.UgridDataArrayAccessor.reindex_like", "xugrid.UgridDataArrayAccessor.rename", "xugrid.UgridDataArrayAccessor.reverse_cuthill_mckee", "xugrid.UgridDataArrayAccessor.sel", "xugrid.UgridDataArrayAccessor.sel_points", "xugrid.UgridDataArrayAccessor.set_crs", "xugrid.UgridDataArrayAccessor.set_node_coords", "xugrid.UgridDataArrayAccessor.to_crs", "xugrid.UgridDataArrayAccessor.to_dataset", "xugrid.UgridDataArrayAccessor.to_geodataframe", "xugrid.UgridDataArrayAccessor.to_netcdf", "xugrid.UgridDataArrayAccessor.to_nonperiodic", "xugrid.UgridDataArrayAccessor.to_periodic", "xugrid.UgridDataArrayAccessor.to_zarr", "xugrid.UgridDataArrayAccessor.topology", "xugrid.UgridDataArrayAccessor.total_bounds", "xugrid.UgridDataset", "xugrid.UgridDataset.from_geodataframe", "xugrid.UgridDataset.ugrid", "xugrid.UgridDatasetAccessor", "xugrid.UgridDatasetAccessor.assign_edge_coords", "xugrid.UgridDatasetAccessor.assign_face_coords", "xugrid.UgridDatasetAccessor.assign_node_coords", "xugrid.UgridDatasetAccessor.bounds", "xugrid.UgridDatasetAccessor.crs", "xugrid.UgridDatasetAccessor.grid", "xugrid.UgridDatasetAccessor.intersect_line", "xugrid.UgridDatasetAccessor.intersect_linestring", "xugrid.UgridDatasetAccessor.name", "xugrid.UgridDatasetAccessor.names", "xugrid.UgridDatasetAccessor.partition", "xugrid.UgridDatasetAccessor.partition_by_label", "xugrid.UgridDatasetAccessor.rasterize", "xugrid.UgridDatasetAccessor.rasterize_like", "xugrid.UgridDatasetAccessor.reindex_like", "xugrid.UgridDatasetAccessor.rename", "xugrid.UgridDatasetAccessor.sel", "xugrid.UgridDatasetAccessor.sel_points", "xugrid.UgridDatasetAccessor.set_crs", "xugrid.UgridDatasetAccessor.set_node_coords", "xugrid.UgridDatasetAccessor.to_crs", "xugrid.UgridDatasetAccessor.to_dataset", "xugrid.UgridDatasetAccessor.to_geodataframe", "xugrid.UgridDatasetAccessor.to_netcdf", 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231, 232, 233, 234, 235, 245], "its": [1, 117, 137, 159, 160, 192, 193, 203, 205, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 231, 232, 233, 235, 237, 246], "voronoi": [1, 53, 113, 114, 125, 223, 224, 225, 226, 247], "tessel": [1, 53, 113, 114, 125, 223, 224, 225, 226, 247], "comput": [1, 3, 4, 56, 83, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 230, 231, 234, 237, 247], "barycentr": [1, 56], "weight": [1, 2, 56, 141, 223, 230, 234], "can": [1, 3, 4, 5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 133, 134, 141, 153, 155, 186, 187, 188, 197, 203, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 224, 225, 227, 228, 229, 230, 231, 232, 233, 234, 235, 237, 242, 246, 247], "us": [1, 2, 3, 4, 5, 20, 36, 44, 76, 78, 82, 87, 88, 101, 111, 127, 128, 129, 133, 134, 141, 153, 166, 183, 186, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 223, 227, 228, 230, 231, 232, 233, 235, 237, 246, 247], "interpol": [1, 141, 223, 234, 247], "smoothli": [1, 223], "between": [1, 2, 33, 62, 106, 148, 182, 223, 227, 228, 230, 231, 234, 237], "valu": [1, 2, 3, 4, 22, 33, 36, 38, 43, 53, 80, 81, 84, 85, 86, 106, 111, 115, 117, 121, 133, 134, 135, 139, 140, 141, 148, 153, 155, 159, 163, 171, 174, 175, 182, 186, 188, 192, 196, 202, 203, 204, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 227, 228, 230, 231, 233, 234, 235, 237, 246], "associ": [1, 3, 4, 53, 124, 141, 149, 183, 223, 228, 231, 232, 235, 237, 246], "paramet": [1, 2, 3, 4, 5, 6, 7, 10, 18, 19, 20, 21, 22, 23, 32, 33, 35, 36, 37, 38, 40, 43, 44, 46, 47, 48, 56, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 101, 103, 104, 105, 106, 109, 110, 111, 112, 113, 114, 115, 117, 119, 121, 127, 133, 134, 139, 140, 141, 144, 145, 146, 147, 148, 149, 151, 152, 153, 154, 155, 156, 157, 159, 165, 174, 175, 178, 179, 180, 181, 182, 183, 185, 186, 187, 188, 189, 190, 192, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 227], "ugrid2d": [1, 2, 3, 4, 22, 148, 182, 202, 212, 213, 214, 215, 216, 217, 218, 219, 220, 223, 230, 231, 233, 234], "__init__": [1, 2, 3, 4, 5, 44, 126, 129, 164, 167, 197], "centroidlocatorregrid": 2, "regrid": [2, 3, 4, 223, 229, 230, 236, 247], "If": [2, 36, 111, 136, 141, 153, 157, 183, 186, 190, 202, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 230, 235], "exactli": [2, 33, 106, 118, 148, 182, 212, 213, 214, 215, 216, 217, 218, 219, 220, 227, 228, 230, 232, 237], "locat": [2, 56, 83, 88, 89, 203, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 232, 233, 237, 242, 246], "two": [2, 62, 84, 127, 139, 174, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228, 230, 232, 233, 235, 237, 245, 246], "either": [2, 38, 115, 155, 188, 203, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 224, 225, 228, 229, 235], "mai": [2, 22, 33, 38, 50, 86, 106, 110, 115, 141, 148, 152, 155, 182, 185, 188, 199, 203, 204, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 228, 231, 233, 235, 237, 246], "option": [2, 3, 4, 5, 20, 21, 22, 32, 36, 38, 43, 44, 76, 77, 78, 86, 103, 104, 111, 115, 121, 133, 134, 141, 153, 155, 156, 186, 187, 188, 189, 202, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227], "matrixcoo": 2, "str": [3, 4, 5, 18, 20, 22, 34, 35, 36, 37, 38, 40, 44, 74, 76, 78, 82, 86, 107, 109, 111, 112, 115, 119, 127, 135, 142, 143, 149, 153, 154, 155, 157, 162, 171, 176, 177, 183, 186, 187, 188, 190, 195, 198, 199, 200, 201, 202, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222], "callabl": [3, 4, 203, 205, 210], "mean": [3, 211, 223, 227, 228, 230, 234, 235, 237], "overlap": [3, 4, 223, 234, 237, 247], "store": [3, 4, 5, 18, 44, 74, 208, 209, 211, 230, 231, 233, 235, 238, 246], "area": [3, 4, 202, 223, 227, 230, 234, 237], "multipl": [3, 4, 199, 208, 209, 210, 211, 223, 231, 234, 235, 237], "wai": [3, 4, 230, 231, 232, 233, 234, 235, 237, 242], "aggreg": [3, 4, 223, 234], "current": [3, 4, 38, 115, 155, 188, 196, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 233, 234, 242], "support": [3, 4, 208, 209, 223, 232, 233, 234], "harmonic_mean": [3, 230], "geometric_mean": [3, 223, 230], "sum": [3, 230], "minimum": [3, 223, 230, 234], "maximum": [3, 33, 106, 141, 148, 182, 230, 234], "mode": [3, 223, 230], "median": [3, 230], "max_overlap": [3, 4, 230], "custom": [3, 4, 209, 247], "function": [3, 4, 141, 158, 161, 191, 194, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 220, 223, 227, 228, 229, 230, 231, 233, 235, 237, 242, 247], "thei": [3, 4, 110, 127, 152, 185, 203, 205, 206, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 227, 232, 233, 246], "compil": [3, 4, 230], "numba": [3, 4, 223, 230], "see": [3, 4, 109, 151, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 234, 237], "user": [3, 4, 210], "guid": [3, 4, 233], "default": [3, 4, 5, 20, 33, 34, 36, 44, 76, 106, 107, 111, 113, 114, 127, 133, 134, 141, 148, 153, 156, 157, 182, 186, 189, 190, 202, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 228, 232, 234, 235, 237, 242], "first_order_conserv": 4, "unlik": 4, "overlapregridd": [4, 223, 229, 236, 247], "intersect": [4, 83, 84, 85, 139, 140, 174, 175, 203, 205, 210, 223, 227, 228, 230, 235, 237], "divid": [4, 210, 231], "total": [4, 223, 226, 227, 228, 230, 231, 232, 233, 234, 235, 236, 237, 239, 240, 241, 243, 244, 245], "requir": [4, 5, 44, 53, 141, 157, 190, 210, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228, 230, 231, 233, 235, 246], "e": [4, 5, 44, 53, 65, 66, 78, 109, 151, 204, 207, 208, 209, 210, 211, 220, 222, 223, 227, 228, 230, 231, 234, 235, 237, 246], "g": [4, 5, 44, 53, 78, 204, 207, 208, 209, 210, 211, 220, 222, 223, 227, 228, 230, 231, 234, 235, 237, 246], "first": [4, 83, 141, 203, 205, 210, 227, 230, 233, 235, 242, 246], "order": [4, 33, 41, 106, 148, 157, 182, 190, 203, 209, 223, 227, 230, 247], "conser": 4, "node_x": [5, 20, 37, 44, 76, 112, 123, 154, 187, 233], "ndarrai": [5, 10, 13, 14, 21, 22, 28, 40, 41, 43, 44, 45, 53, 54, 56, 59, 60, 62, 65, 66, 67, 68, 77, 79, 80, 81, 83, 86, 88, 89, 96, 102, 104, 105, 110, 119, 121, 124, 125, 145, 152, 179, 185, 221, 227], "node_i": [5, 20, 37, 44, 76, 112, 123, 154, 187, 233], "fill_valu": [5, 44, 203, 204, 205, 227, 233], "int": [5, 26, 27, 36, 38, 44, 87, 93, 94, 95, 101, 111, 115, 133, 134, 141, 144, 153, 155, 178, 186, 188, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 227], "edge_node_connect": [5, 44, 124, 198, 223, 227, 228, 233], "none": [5, 18, 20, 21, 22, 36, 38, 39, 44, 74, 76, 77, 78, 86, 104, 108, 109, 111, 115, 116, 117, 118, 127, 133, 134, 137, 151, 153, 155, 157, 164, 172, 184, 186, 187, 188, 190, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 233, 235, 237], "name": [5, 15, 20, 29, 34, 37, 44, 61, 69, 76, 78, 82, 84, 85, 97, 107, 110, 112, 127, 135, 137, 148, 149, 154, 157, 162, 171, 172, 174, 175, 182, 183, 185, 186, 187, 188, 190, 195, 197, 198, 199, 200, 201, 202, 203, 205, 206, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 231, 232, 233, 234, 235, 237], "network1d": [5, 20], "index": [5, 22, 31, 35, 43, 44, 71, 86, 100, 109, 110, 121, 151, 152, 185, 203, 205, 208, 209, 210, 223, 227, 228, 230, 231, 232, 233, 234, 237, 246, 247], "dict": [5, 22, 35, 43, 44, 86, 109, 121, 135, 137, 162, 171, 172, 183, 195, 198, 199, 200, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 233], "project": [5, 20, 36, 37, 38, 44, 76, 111, 112, 115, 153, 155, 186, 188, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 232, 237], "bool": [5, 20, 22, 34, 35, 36, 37, 39, 43, 44, 76, 86, 88, 107, 109, 111, 112, 113, 114, 116, 121, 124, 133, 134, 141, 153, 156, 186, 189, 202, 204, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 228], "true": [5, 20, 22, 37, 43, 44, 76, 86, 112, 113, 114, 121, 141, 204, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 223, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 246], "cr": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188, 196, 223, 237], "ani": [5, 20, 21, 44, 76, 77, 203, 204, 205, 207, 210, 211, 222, 223, 231, 232, 234, 235, 246], "attr": [5, 44, 203, 205, 210, 223], "topolog": [5, 41, 44, 227, 228, 232, 233], "1": [5, 42, 80, 81, 133, 134, 141, 151, 202, 203, 204, 205, 207, 208, 209, 210, 221, 222, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 245, 246], "d": [5, 44, 197, 204, 210, 228, 232, 233], "collect": [5, 140, 175, 210, 221, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 246], "connect": [5, 30, 31, 53, 62, 70, 71, 98, 99, 100, 108, 125, 136, 141, 150, 197, 200, 220, 223, 227, 229, 233, 236, 237, 246, 247], "line": [5, 32, 38, 84, 103, 115, 139, 155, 157, 174, 188, 190, 202, 221, 223, 227, 228, 232, 234, 237, 241, 245, 246, 247], "element": [5, 42, 120, 227, 246], "river": 5, "network": [5, 10, 246], "float": [5, 9, 33, 44, 51, 53, 54, 56, 68, 83, 84, 88, 89, 104, 105, 106, 109, 110, 117, 125, 139, 141, 146, 147, 148, 151, 152, 159, 174, 180, 181, 182, 185, 192, 202, 204, 212, 213, 214, 215, 216, 217, 218, 219, 221, 222, 227, 230], "integ": [5, 10, 22, 35, 41, 43, 44, 53, 56, 62, 65, 66, 83, 86, 87, 89, 101, 104, 105, 109, 121, 123, 125, 144, 145, 178, 179, 203, 212, 213, 214, 215, 216, 217, 218, 219, 221, 223, 227, 228, 230, 246], "string": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 183, 186, 188, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219], "xr": [5, 6, 7, 18, 22, 44, 46, 47, 48, 74, 78, 82, 84, 85, 86, 109, 110, 117, 118, 127, 139, 140, 146, 147, 151, 152, 158, 161, 174, 175, 180, 181, 185, 191, 194, 203, 204, 205, 207, 209, 210, 221, 222, 223, 228, 233, 234], "when": [5, 36, 44, 111, 153, 186, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 227, 230, 233, 234, 237], "map": [5, 44, 135, 162, 171, 183, 195, 203, 204, 205, 207, 212, 213, 214, 215, 216, 217, 218, 219, 222, 233, 235], "ugrid": [5, 14, 16, 17, 18, 20, 22, 26, 27, 36, 38, 40, 44, 60, 63, 64, 74, 76, 78, 82, 86, 93, 95, 109, 111, 115, 119, 124, 127, 129, 138, 142, 143, 149, 151, 153, 155, 156, 158, 161, 162, 165, 173, 176, 177, 183, 186, 188, 189, 191, 194, 195, 197, 198, 199, 200, 206, 223, 227, 228, 230, 231, 232, 234, 235, 237, 238, 239, 240, 241, 246], "role": [5, 44, 199, 201, 233], "variabl": [5, 34, 44, 107, 156, 158, 161, 189, 191, 194, 197, 198, 199, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 222, 223, 230, 232, 233, 237, 242], "face_x": [5, 44], "mesh2d_face_lon": [5, 44], "whether": [5, 20, 22, 43, 44, 76, 86, 121, 124, 141, 156, 189, 196, 208, 209, 210, 211, 223, 235], "longitud": [5, 20, 44, 76, 223], "latitud": [5, 20, 44, 76, 223], "x": [5, 14, 16, 20, 28, 35, 37, 44, 54, 55, 60, 63, 68, 72, 76, 78, 79, 80, 81, 82, 83, 84, 85, 96, 104, 105, 109, 110, 112, 117, 127, 139, 146, 147, 151, 152, 154, 159, 174, 175, 180, 181, 184, 185, 187, 192, 199, 203, 204, 205, 207, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227, 228, 230, 232, 233, 234, 235, 237, 238, 241, 246], "y": [5, 14, 17, 20, 28, 35, 37, 44, 54, 55, 60, 64, 68, 73, 76, 78, 79, 80, 81, 82, 83, 84, 85, 96, 104, 105, 109, 110, 112, 118, 127, 139, 146, 147, 151, 152, 154, 174, 175, 180, 181, 184, 185, 187, 199, 203, 204, 205, 207, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227, 228, 230, 232, 233, 234, 235, 237, 238, 241, 246], "coordin": [5, 6, 7, 14, 16, 17, 20, 21, 28, 33, 36, 37, 38, 44, 46, 47, 48, 60, 63, 64, 72, 73, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 96, 104, 105, 106, 109, 110, 111, 112, 115, 118, 127, 130, 131, 132, 135, 137, 139, 140, 147, 148, 149, 151, 152, 153, 154, 155, 158, 161, 163, 168, 169, 170, 171, 172, 174, 175, 181, 182, 183, 185, 186, 187, 188, 191, 194, 196, 200, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 228, 231, 232, 233, 234, 235, 237, 246], "write": [5, 20, 44, 76, 158, 161, 191, 194, 208, 209, 223, 231, 247], "appropri": [5, 20, 44, 76, 165, 208, 209, 223, 234], "standard_nam": [5, 20, 44, 76, 233, 234, 235], "refer": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 137, 141, 153, 155, 172, 186, 188, 196, 203, 204, 205, 207, 208, 209, 210, 211, 222, 223, 237, 246, 247], "system": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 137, 153, 155, 172, 186, 188, 196, 204, 207, 208, 209, 211, 222, 223, 237, 242], "geometri": [5, 20, 21, 36, 38, 40, 44, 76, 77, 85, 111, 115, 119, 153, 155, 157, 186, 188, 190, 202, 221, 223, 229, 233, 235, 236, 246, 247], "anyth": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "accept": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188, 208, 209, 211, 223], "pyproj": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 137, 153, 155, 172, 186, 188], "from_user_input": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "author": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "eg": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "epsg": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188, 237], "4326": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188, 237], "wkt": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "topologi": [5, 10, 14, 16, 17, 18, 19, 20, 21, 22, 26, 27, 33, 36, 40, 43, 44, 53, 60, 63, 64, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 93, 94, 95, 101, 104, 106, 110, 111, 113, 114, 119, 121, 122, 123, 125, 128, 129, 138, 142, 143, 148, 149, 153, 156, 157, 165, 166, 173, 174, 175, 176, 177, 182, 183, 185, 186, 187, 188, 189, 190, 197, 199, 200, 206, 212, 213, 214, 215, 216, 217, 218, 219, 220, 223, 231, 232, 233, 234, 235, 237, 238, 240, 245, 246], "should": [5, 44, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 227, 235, 237, 247], "togeth": [5, 44, 203, 205, 210, 212, 213, 214, 215, 216, 217, 218, 219, 237], "updat": [5, 44, 149, 183, 202, 223], "instead": [5, 44, 141, 203, 205, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 232, 234, 235], "A": [5, 44, 52, 137, 172, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 223, 227, 228, 230, 233, 234, 235, 237, 246], "entri": [5, 44], "ignor": [5, 44, 110, 152, 185, 203, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228], "given": [5, 37, 44, 112, 136, 144, 154, 178, 187, 204, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 222, 228, 231, 235], "explicitli": [5, 44, 210, 246], "obj": [6, 7, 22, 33, 35, 37, 46, 47, 48, 84, 85, 86, 106, 109, 110, 112, 117, 118, 126, 129, 139, 148, 164, 167, 174, 182, 203, 223, 228, 232], "assign": [6, 7, 46, 47, 48, 130, 131, 132, 168, 169, 170, 203, 231], "return": [6, 7, 9, 10, 13, 18, 19, 20, 22, 23, 24, 25, 30, 31, 33, 35, 40, 41, 43, 46, 47, 48, 51, 52, 53, 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209, 210, 211, 220, 223, 228, 230, 231, 232, 234, 235, 237, 246], "origin": [6, 7, 46, 47, 48, 123, 130, 131, 132, 168, 169, 170, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 230, 231, 234, 237], "addit": [6, 7, 32, 46, 47, 48, 103, 130, 131, 132, 168, 169, 170, 203, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 234, 247], "type": [6, 7, 9, 10, 13, 18, 19, 20, 23, 24, 25, 30, 31, 33, 40, 41, 42, 46, 47, 48, 51, 54, 59, 62, 65, 66, 67, 68, 70, 71, 74, 75, 76, 77, 78, 79, 82, 84, 85, 87, 88, 89, 90, 91, 92, 98, 99, 100, 101, 106, 108, 110, 113, 114, 119, 120, 122, 124, 126, 127, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 144, 145, 146, 147, 148, 150, 151, 152, 156, 157, 159, 160, 162, 164, 165, 167, 168, 169, 170, 172, 173, 174, 175, 178, 179, 180, 181, 182, 185, 189, 190, 192, 193, 195, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 223, 235, 237, 247], "same": [6, 7, 46, 47, 48, 136, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227, 230, 232, 233, 234, 237, 246], "properti": [8, 9, 12, 13, 14, 15, 16, 17, 24, 25, 26, 27, 28, 29, 30, 31, 42, 45, 49, 51, 52, 53, 54, 55, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 102, 120, 123, 125, 128, 135, 137, 138, 142, 143, 162, 163, 166, 171, 172, 173, 176, 177, 195, 196, 198, 199, 200, 201, 223], "tupl": [9, 35, 51, 56, 104, 105, 123, 135, 163, 171, 196, 199, 204, 207, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 222], "xmin": [9, 51, 88, 104, 230, 234, 237], "ymin": [9, 51, 88, 104, 230, 234, 237], "xmax": [9, 51, 88, 104, 117, 159, 192, 230, 234, 237], "ymax": [9, 51, 88, 104, 230, 234, 237], "indic": [10, 31, 71, 100, 203, 205, 210, 223, 228, 230, 246], "simplifi": 10, "remov": [10, 23, 90, 208, 209, 211, 223, 227, 228], "list": [10, 138, 143, 144, 145, 157, 177, 178, 179, 190, 197, 199, 201, 203, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 228, 232, 246], "np": [10, 13, 21, 22, 41, 59, 67, 77, 79, 80, 81, 86, 124, 141, 145, 179, 202, 203, 204, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 227, 228, 230, 231, 233, 234, 235, 239], "contract": 10, "creat": [11, 20, 24, 25, 34, 43, 57, 76, 78, 79, 80, 81, 82, 91, 92, 107, 113, 114, 117, 121, 127, 141, 159, 192, 204, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 223, 230, 232, 234, 235, 237, 247], "deepcopi": [11, 57], "numpi": [13, 59, 67, 208, 209, 211, 227, 228, 230, 231, 233, 234, 235, 239, 246], "arrai": [13, 21, 35, 41, 43, 53, 59, 65, 66, 67, 77, 104, 105, 109, 110, 121, 123, 125, 133, 134, 151, 157, 190, 200, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227, 230, 231, 233, 234, 235, 237, 246, 247], "column": [13, 31, 38, 59, 67, 71, 79, 80, 81, 100, 115, 155, 188, 202, 212, 213, 214, 215, 216, 217, 218, 219, 221, 228, 237, 246], "minx": [13, 59, 67, 135, 163, 171, 196], "mini": [13, 59, 67, 135, 163, 171, 196], "maxx": [13, 59, 67, 135, 163, 171, 196], "maxi": [13, 59, 67, 135, 163, 171, 196], "describ": [13, 53, 59, 67, 125, 223, 228, 246], "bound": [13, 50, 59, 67, 79, 88, 104, 110, 152, 185, 196, 208, 209, 223, 228, 230, 232, 234, 246], "shape": [13, 21, 40, 50, 53, 54, 56, 59, 62, 67, 68, 77, 79, 80, 81, 83, 85, 88, 89, 104, 105, 110, 119, 125, 133, 134, 140, 152, 175, 185, 203, 204, 207, 221, 222, 223, 227, 228, 235, 237, 240, 246], "n_edg": [13, 59, 62, 83, 227, 228, 246], "4": [13, 59, 67, 203, 204, 205, 207, 222, 228, 230, 231, 232, 233, 234, 235, 237, 246], "dimens": [15, 22, 29, 35, 40, 43, 61, 69, 83, 86, 97, 108, 109, 119, 121, 127, 148, 149, 157, 182, 183, 190, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 223, 232, 233, 234, 235, 237], "classmethod": [18, 19, 20, 74, 75, 76], "extract": [18, 74, 223, 228, 232], "1d": [18, 20, 35, 43, 53, 65, 66, 78, 79, 80, 82, 104, 105, 109, 110, 121, 123, 125, 133, 134, 151, 210, 233, 235], "inform": [18, 74, 156, 189, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228, 232, 246, 247], "contain": [18, 31, 50, 71, 74, 79, 100, 123, 124, 135, 137, 163, 171, 172, 173, 176, 183, 187, 196, 198, 203, 205, 208, 209, 210, 211, 220, 221, 223, 230, 232, 233, 234, 237, 239, 240, 241, 243, 246], "accord": [18, 34, 74, 107, 157, 190, 208, 209, 210, 211, 233, 238, 246], "convent": [18, 34, 74, 107, 208, 209, 211, 233, 238, 246], "ugrid1dadapt": [18, 74], "geodatafram": [19, 75, 157, 165, 190, 202, 220, 221, 223, 233, 243, 247], "geopanda": [19, 75, 157, 165, 190, 202, 223, 237, 243, 247], "linestr": [19, 21, 40, 85, 119, 140, 175, 221, 223, 235, 237], "mesh": [20, 32, 44, 76, 87, 101, 103, 144, 178, 202, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 229, 233, 234, 236, 237, 246, 247], "meshkernel": [20, 24, 76, 91, 223], "mesh1d": [20, 24], "mesh2d": [20, 44, 76, 91, 197, 233], "static": [21, 23, 77, 78, 79, 80, 81, 82, 90, 127, 165, 239], "return_index": [22, 43, 86, 121, 223], "fals": [22, 34, 36, 39, 43, 86, 107, 111, 113, 114, 116, 121, 124, 133, 134, 141, 153, 156, 186, 189, 202, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 231, 232, 237, 239, 240, 246], "indexers_kwarg": [22, 86], "select": [22, 35, 84, 85, 86, 109, 110, 151, 152, 185, 223, 229, 231, 232, 236, 247], "base": [22, 31, 35, 71, 79, 80, 81, 86, 100, 204, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 230, 233, 234, 235, 242, 247], "alwai": [22, 86, 109, 151, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 235, 237, 246], "result": [22, 86, 109, 113, 114, 151, 157, 158, 161, 190, 191, 194, 203, 205, 206, 208, 210, 211, 220, 223, 227, 228, 230, 231, 232, 234, 235, 237], "valid": [22, 86, 124, 211, 223, 227, 230, 235, 237], "invalid": [22, 86, 124, 223, 235], "incomplet": [22, 86], "error": [22, 86, 124, 208, 209, 211, 223, 230, 232, 235], "case": [22, 82, 86, 141, 203, 208, 209, 220, 223, 227, 230, 231, 232, 235, 237], "node_index": [22, 43, 86, 121], "edge_index": [22, 43, 65, 83, 86, 121], "dictionari": [22, 43, 86, 121, 137, 172, 199, 200, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223], "kei": [22, 43, 86, 121, 208, 209, 210, 223], "respect": [22, 43, 86, 121, 223, 246], "onli": [22, 23, 33, 43, 55, 86, 90, 106, 121, 148, 182, 183, 187, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 223, 227, 228, 230, 233, 234, 235, 237, 246], "sequenc": [23, 84, 90, 139, 164, 167, 174, 203, 205, 206, 210, 212, 213, 214, 215, 216, 217, 218, 219], "merg": [23, 90, 203, 206, 210, 223, 233, 237, 247], "partit": [23, 87, 90, 145, 179, 206, 223, 227, 229, 236, 247], "singl": [23, 90, 127, 173, 176, 183, 187, 205, 206, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 228, 230, 231, 235, 237], "whole": [23, 90, 196, 231, 233], "duplic": [23, 90, 124], "includ": [23, 50, 82, 90, 138, 143, 157, 190, 203, 208, 209, 210, 221, 223, 227, 228, 230, 235, 237, 243, 246], "onc": [23, 90, 210, 227, 230, 232, 233, 237], "subsequ": [23, 90], "befor": [23, 90, 204, 210, 214, 223, 227, 232, 233, 246], "mk": [24, 25, 91, 92], "need": [24, 25, 52, 91, 92, 210, 227, 234, 242], "instanc": [25, 92], "number": [26, 27, 87, 93, 94, 95, 101, 136, 141, 144, 178, 205, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228, 230, 231, 233, 234, 237, 246], "vertic": [27, 28, 41, 53, 95, 96, 125, 223, 227, 228, 233, 237], "csr_matrix": [30, 31, 44, 70, 71, 98, 99, 100, 125, 228], "adjac": [31, 71, 100, 246], "matrix": [31, 71, 100, 108, 141, 150, 223, 228, 246], "csr": [31, 71, 100, 223], "format": [31, 71, 100, 208, 209, 211, 223, 233, 246], "row": [31, 71, 79, 80, 81, 100, 212, 213, 214, 215, 216, 217, 218, 219, 228, 237, 246], "0": [31, 33, 71, 100, 106, 109, 141, 148, 151, 182, 202, 203, 204, 205, 207, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 243, 244, 245, 246], "form": [31, 71, 100, 208, 209, 210, 211, 223, 228, 232, 234, 235, 237, 246], "kwarg": [32, 103, 158, 161, 191, 194, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 227], "keyword": [32, 103, 204, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223], "argument": [32, 103, 158, 161, 183, 191, 194, 202, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 230, 235, 247], "matplotlib": [32, 103, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 245], "pyplot": [32, 103, 212, 213, 214, 227, 228, 230, 231, 232, 234, 235, 237, 238, 239, 240, 241, 245], "toler": [33, 106, 141, 148, 182, 223], "conform": [33, 106, 148, 182], "match": [33, 106, 118, 148, 182, 196, 203, 206, 208, 209, 210, 211], "must": [33, 38, 106, 115, 118, 127, 148, 155, 157, 182, 188, 190, 203, 205, 206, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 230, 237], "equival": [33, 106, 148, 182, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 231, 235, 237], "differ": [33, 38, 83, 106, 113, 114, 115, 148, 155, 182, 188, 203, 205, 210, 223, 227, 228, 230, 231, 232, 233, 237, 246], "distanc": [33, 84, 85, 106, 141, 148, 174, 175, 182, 223], "inexact": [33, 106, 148, 182], "reindex": [33, 106, 148, 182], "return_name_dict": [34, 107], "slice": [35, 109, 151, 203, 210, 230, 233, 234, 235], "as_ugrid": [35, 109], "coord": [35, 109, 203, 204, 205, 207, 210, 222, 234], "allow_overrid": [36, 111, 153, 186], "set": [36, 37, 38, 111, 112, 113, 114, 115, 137, 141, 153, 154, 155, 172, 186, 187, 188, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 228, 231, 232, 237, 242, 246], "note": [36, 111, 118, 141, 153, 186, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 227, 231, 233, 234, 237], "underli": [36, 111, 153, 186, 204, 207, 208, 209, 222, 232, 235], "transform": [36, 38, 111, 115, 153, 155, 186, 188], "To": [36, 111, 113, 114, 124, 127, 153, 186, 197, 228, 230, 231, 232, 233, 234, 235], "to_cr": [36, 111, 153, 186, 223, 237], "specifi": [36, 38, 111, 115, 153, 155, 186, 188, 203, 204, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 246], "code": [36, 38, 111, 115, 153, 155, 186, 188, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 243, 245], "alreadi": [36, 111, 153, 186, 203, 210, 211, 223, 245], "ha": [36, 38, 111, 115, 141, 153, 155, 157, 186, 188, 190, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 232, 235, 246], "allow": [36, 111, 141, 153, 186, 220, 223, 232], "replac": [36, 111, 153, 186, 208, 209, 211, 223, 227], "exist": [36, 111, 153, 186, 203, 208, 209, 211, 223, 227, 235], "even": [36, 111, 153, 186, 209, 210, 223, 246], "both": [36, 111, 153, 186, 203, 205, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 231, 246], "equal": [36, 109, 111, 118, 141, 151, 153, 186, 203, 205, 208, 209, 210, 211, 223, 228, 230], "them": [37, 112, 154, 187, 200, 205, 208, 209, 210, 211, 227, 228, 231, 232, 233, 242], "activ": [38, 115, 155, 188, 208, 209, 223], "output": [38, 115, 155, 188, 207, 222, 228, 231, 239], "point": [38, 40, 56, 84, 89, 109, 110, 115, 119, 139, 151, 152, 155, 157, 174, 185, 188, 190, 202, 223, 228, 232, 237, 246, 247], "notion": [38, 115, 155, 188], "cell": [38, 79, 113, 114, 115, 155, 188, 202, 220, 221, 223, 227, 228, 230, 231, 234, 237, 246], "segment": [38, 115, 140, 155, 175, 188, 221, 235, 237], "join": [38, 115, 155, 188, 203, 205, 210], "assum": [38, 78, 82, 115, 127, 155, 188, 208, 209, 211, 227], "geodes": [38, 115, 155, 188], "cross": [38, 115, 155, 188, 238, 246], "datelin": [38, 115, 155, 188], "boundari": [38, 79, 115, 117, 118, 141, 155, 159, 160, 188, 192, 193, 220, 228, 237, 246], "have": [38, 115, 136, 155, 188, 203, 205, 207, 208, 209, 210, 211, 222, 223, 227, 228, 237], "undesir": [38, 115, 155, 188], "behavior": [38, 115, 155, 188, 208, 209, 235], "optional_attribut": [39, 116, 156, 189, 223], "dim": [40, 119, 157, 203, 204, 205, 207, 222, 228, 233, 234], "sorted_vertic": 41, "highest": [42, 120], "dimension": [42, 120, 127, 210, 212, 213, 214, 215, 216, 217, 218, 219, 232, 234, 235], "geometr": [42, 120, 228, 230, 246], "subset": [43, 121, 223, 230, 233, 247], "face_node_connect": [44, 53, 123, 124, 125, 198, 223, 227, 228, 233, 246], "coo_matrix": 44, "2": [44, 53, 54, 56, 62, 68, 79, 83, 89, 120, 125, 203, 204, 205, 207, 210, 211, 221, 222, 227, 228, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 246], "polygon": [50, 75, 77, 119, 122, 157, 190, 202, 223, 228, 232, 233, 243, 246, 247], "construct": [50, 233], "hole": [50, 228], "initi": [52, 223, 230, 233], "spatial": [52, 127, 227, 232, 235, 237], "lookup": 52, "triangul": [53, 212, 213, 214, 215, 216, 217, 218, 219, 227, 230, 233, 234, 237, 241, 247], "contour": [53, 213, 214, 215, 216, 217, 218, 219, 223, 232], "take": [53, 147, 181, 208, 209, 223, 227, 228, 230, 232, 234, 235], "triangl": [53, 122, 123, 227, 228, 230, 233, 234, 237, 246], "n_centroid": [53, 125], "n_triangl": [53, 227], "3": [53, 203, 204, 205, 207, 211, 222, 227, 228, 231, 232, 233, 234, 235, 237, 240, 246], "face_index": [53, 56, 66, 83, 86, 88, 89, 104, 105, 121, 125, 227], "n_face": [54, 67, 68, 88, 228, 246], "circument": 55, "work": [55, 118, 183, 211, 223, 230, 234, 235, 237, 238], "fulli": [55, 208, 228, 237], "triangular": [55, 223, 227, 230, 234, 235, 237], "vertex": [56, 83, 223, 227, 228, 233, 246], "n_point": [56, 89, 110, 152, 185], "n_max_nod": 56, "consist": [62, 138, 143, 203, 220, 223, 228, 237, 245, 246], "get": [65, 66, 197, 198, 199, 200, 201, 223, 230, 233, 234, 238], "exterior": [65, 66, 113, 114, 223, 227, 228, 235, 237, 246], "unshar": 66, "deriv": [71, 228, 246], "share": [71, 117, 159, 160, 192, 193, 206, 220, 221, 223, 233, 237], "axi": [78, 82, 203, 212, 213, 214, 215, 216, 217, 218, 219, 227, 232, 235], "align": [78, 82, 117, 118, 203, 205, 210, 235], "rectilinear": [78, 82], "from_structured_multicoord": [78, 223], "approxim": [78, 82, 223], "curvilinear": [78, 82, 127, 223], "rotat": [78, 82, 127, 223], "x_bound": [79, 223], "y_bound": [79, 223], "lower": [79, 227, 228, 237], "upper": [79, 227, 228], "each": [79, 140, 141, 145, 175, 179, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 222, 231, 234, 235, 237, 246], "m": [79, 80, 81, 223, 235, 237], "n": [79, 80, 81, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 223, 227, 233], "x_interv": [80, 81], "y_interv": [80, 81], "interv": [80, 81, 212, 213, 214, 215, 216, 217, 218, 219, 223], "from_structur": [82, 223], "most": [82, 205, 227, 234, 246], "raster": [82, 105, 147, 181, 214, 223, 247], "second": [83, 208, 209, 211, 221, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 243, 245], "start": [83, 84, 139, 174, 227, 228, 230, 231, 232, 233, 234, 235, 237], "end": [83, 84, 139, 174, 208, 209, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 243, 245], "third": [83, 210, 227], "reres": 83, "n_intersect": 83, "fetch": [84, 85, 139, 174, 233], "pair": [84, 139, 174, 228, 232, 246], "design": [84, 139, 174, 208], "prefix": [84, 85, 110, 174, 175, 185, 223], "spatium": [84, 85, 174, 175], "n_part": [87, 101, 144, 178, 231], "labesl": 87, "meti": [87, 101, 231], "karypislab": [87, 101], "util": [87, 101, 223, 231, 235, 237], "pymeti": [87, 101, 231], "python": [87, 101, 208, 209, 223, 224, 225, 227, 228, 229, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 243, 245, 246], "bind": [87, 101, 231], "induc": [87, 101], "part": [87, 101, 124, 144, 151, 178, 223, 227, 228, 230, 231, 234, 237, 245, 246], "partition_label": 87, "box": [88, 223], "invert": [99, 227], "length": [102, 139, 140, 223, 233], "resolut": [104, 146, 147, 180, 181, 214], "sampl": [104, 105, 146, 147, 180, 181, 223, 234, 235, 238, 247], "space": [104, 146, 147, 180, 181, 212, 213, 214, 215, 216, 217, 218, 219, 227, 246], "four": [104, 109, 151, 231, 246], 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189, 190, 192, 193, 211, 220, 223, 233, 234, 237], "grid": [0, 1, 2, 5, 6, 7, 13, 18, 20, 22, 23, 34, 37, 44, 46, 47, 48, 50, 52, 55, 59, 67, 74, 76, 78, 79, 82, 84, 85, 86, 87, 90, 101, 104, 105, 107, 110, 112, 117, 118, 124, 126, 129, 130, 131, 132, 135, 137, 139, 140, 141, 144, 145, 146, 147, 151, 152, 154, 157, 159, 160, 163, 164, 167, 168, 169, 170, 171, 172, 174, 175, 178, 179, 180, 181, 185, 186, 187, 188, 190, 192, 193, 196, 202, 214, 221, 223, 228, 230, 232, 233, 238, 245, 246, 247], "data": [0, 5, 6, 7, 31, 44, 46, 47, 48, 53, 71, 78, 82, 100, 124, 130, 131, 132, 139, 141, 156, 157, 168, 169, 170, 174, 180, 181, 189, 190, 198, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 227, 228, 229, 230, 234, 236, 237, 238, 239, 240, 241, 243, 245, 246, 247], "from": [0, 5, 6, 7, 18, 20, 23, 44, 46, 47, 48, 71, 74, 76, 78, 79, 80, 81, 82, 90, 99, 104, 117, 124, 127, 130, 131, 132, 135, 141, 147, 159, 162, 168, 169, 170, 171, 181, 183, 192, 195, 199, 200, 203, 204, 205, 206, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 223, 227, 228, 230, 231, 232, 234, 235, 246, 247], "one": [0, 127, 157, 173, 176, 190, 204, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 223, 228, 231, 233, 234, 235, 237, 246], "anoth": [0, 33, 106, 148, 182, 208, 209, 221, 223, 231, 234, 246], "tool": [0, 232, 234, 235], "2d": [0, 74, 76, 78, 81, 82, 180, 181, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 228, 232, 233, 234, 235, 238, 246], "3d": [0, 232, 234], "structur": [0, 52, 78, 79, 80, 81, 82, 127, 210, 223, 228, 232, 234, 235, 238, 246], "repres": [0, 31, 71, 83, 100, 137, 172, 208, 209, 211, 234, 235, 237, 246], "object": [0, 5, 6, 7, 20, 21, 24, 37, 38, 40, 44, 46, 47, 48, 76, 77, 91, 112, 115, 119, 130, 131, 132, 137, 147, 148, 151, 154, 155, 168, 169, 170, 172, 181, 182, 187, 188, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 228, 230, 231, 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155, 186, 187, 188, 197, 203, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 224, 225, 227, 228, 229, 230, 231, 232, 233, 234, 235, 237, 242, 246, 247], "us": [1, 2, 3, 4, 5, 20, 36, 44, 76, 78, 82, 87, 88, 101, 111, 127, 128, 129, 133, 134, 141, 153, 166, 183, 186, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 223, 227, 228, 230, 231, 232, 233, 235, 237, 246, 247], "interpol": [1, 141, 223, 234, 247], "smoothli": [1, 223], "between": [1, 2, 33, 62, 106, 148, 182, 223, 227, 228, 230, 231, 234, 237], "valu": [1, 2, 3, 4, 22, 33, 36, 38, 43, 53, 80, 81, 84, 85, 86, 106, 111, 115, 117, 121, 133, 134, 135, 139, 140, 141, 148, 153, 155, 159, 163, 171, 174, 175, 182, 186, 188, 192, 196, 202, 203, 204, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 227, 228, 230, 231, 233, 234, 235, 237, 246], "associ": [1, 3, 4, 53, 124, 141, 149, 183, 223, 228, 231, 232, 235, 237, 246], "paramet": [1, 2, 3, 4, 5, 6, 7, 10, 18, 19, 20, 21, 22, 23, 32, 33, 35, 36, 37, 38, 40, 43, 44, 46, 47, 48, 56, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 101, 103, 104, 105, 106, 109, 110, 111, 112, 113, 114, 115, 117, 119, 121, 127, 133, 134, 139, 140, 141, 144, 145, 146, 147, 148, 149, 151, 152, 153, 154, 155, 156, 157, 159, 165, 174, 175, 178, 179, 180, 181, 182, 183, 185, 186, 187, 188, 189, 190, 192, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 227], "ugrid2d": [1, 2, 3, 4, 22, 148, 182, 202, 212, 213, 214, 215, 216, 217, 218, 219, 220, 223, 230, 231, 233, 234], "__init__": [1, 2, 3, 4, 5, 44, 126, 129, 164, 167, 197], "centroidlocatorregrid": 2, "regrid": [2, 3, 4, 223, 229, 230, 236, 247], "If": [2, 36, 111, 136, 141, 153, 157, 183, 186, 190, 202, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 230, 235], "exactli": [2, 33, 106, 118, 148, 182, 212, 213, 214, 215, 216, 217, 218, 219, 220, 227, 228, 230, 232, 237], "locat": [2, 56, 83, 88, 89, 203, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 232, 233, 237, 242, 246], "two": [2, 62, 84, 127, 139, 174, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228, 230, 232, 233, 235, 237, 245, 246], "either": [2, 38, 115, 155, 188, 203, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 224, 225, 228, 229, 235], "mai": [2, 22, 33, 38, 50, 86, 106, 110, 115, 141, 148, 152, 155, 182, 185, 188, 199, 203, 204, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 228, 231, 233, 235, 237, 246], "option": [2, 3, 4, 5, 20, 21, 22, 32, 36, 38, 43, 44, 76, 77, 78, 86, 103, 104, 111, 115, 121, 133, 134, 141, 153, 155, 156, 186, 187, 188, 189, 202, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227], "matrixcoo": 2, "str": [3, 4, 5, 18, 20, 22, 34, 35, 36, 37, 38, 40, 44, 74, 76, 78, 82, 86, 107, 109, 111, 112, 115, 119, 127, 135, 142, 143, 149, 153, 154, 155, 157, 162, 171, 176, 177, 183, 186, 187, 188, 190, 195, 198, 199, 200, 201, 202, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222], "callabl": [3, 4, 203, 205, 210], "mean": [3, 211, 223, 227, 228, 230, 234, 235, 237], "overlap": [3, 4, 223, 234, 237, 247], "store": [3, 4, 5, 18, 44, 74, 208, 209, 211, 230, 231, 233, 235, 238, 246], "area": [3, 4, 202, 223, 227, 230, 234, 237], "multipl": [3, 4, 199, 208, 209, 210, 211, 223, 231, 234, 235, 237], "wai": [3, 4, 230, 231, 232, 233, 234, 235, 237, 242], "aggreg": [3, 4, 223, 234], "current": [3, 4, 38, 115, 155, 188, 196, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 233, 234, 242], "support": [3, 4, 208, 209, 223, 232, 233, 234], "harmonic_mean": [3, 230], "geometric_mean": [3, 223, 230], "sum": [3, 230], "minimum": [3, 223, 230, 234], "maximum": [3, 33, 106, 141, 148, 182, 230, 234], "mode": [3, 223, 230], "median": [3, 230], "max_overlap": [3, 4, 230], "custom": [3, 4, 209, 247], "function": [3, 4, 141, 158, 161, 191, 194, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 220, 223, 227, 228, 229, 230, 231, 233, 235, 237, 242, 247], "thei": [3, 4, 110, 127, 152, 185, 203, 205, 206, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 227, 232, 233, 246], "compil": [3, 4, 230], "numba": [3, 4, 223, 230], "see": [3, 4, 109, 151, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 234, 237], "user": [3, 4, 210], "guid": [3, 4, 233], "default": [3, 4, 5, 20, 33, 34, 36, 44, 76, 106, 107, 111, 113, 114, 127, 133, 134, 141, 148, 153, 156, 157, 182, 186, 189, 190, 202, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 228, 232, 234, 235, 237, 242], "first_order_conserv": 4, "unlik": 4, "overlapregridd": [4, 223, 229, 236, 247], "intersect": [4, 83, 84, 85, 139, 140, 174, 175, 203, 205, 210, 223, 227, 228, 230, 235, 237], "divid": [4, 210, 231], "total": [4, 223, 226, 227, 228, 230, 231, 232, 233, 234, 235, 236, 237, 239, 240, 241, 243, 244, 245], "requir": [4, 5, 44, 53, 141, 157, 190, 210, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228, 230, 231, 233, 235, 246], "e": [4, 5, 44, 53, 65, 66, 78, 109, 151, 204, 207, 208, 209, 210, 211, 220, 222, 223, 227, 228, 230, 231, 234, 235, 237, 246], "g": [4, 5, 44, 53, 78, 204, 207, 208, 209, 210, 211, 220, 222, 223, 227, 228, 230, 231, 234, 235, 237, 246], "first": [4, 83, 141, 203, 205, 210, 227, 230, 233, 235, 242, 246], "order": [4, 33, 41, 106, 148, 157, 182, 190, 203, 209, 223, 227, 230, 247], "conser": 4, "node_x": [5, 20, 37, 44, 76, 112, 123, 154, 187, 233], "ndarrai": [5, 10, 13, 14, 21, 22, 28, 40, 41, 43, 44, 45, 53, 54, 56, 59, 60, 62, 65, 66, 67, 68, 77, 79, 80, 81, 83, 86, 88, 89, 96, 102, 104, 105, 110, 119, 121, 124, 125, 145, 152, 179, 185, 221, 227], "node_i": [5, 20, 37, 44, 76, 112, 123, 154, 187, 233], "fill_valu": [5, 44, 203, 204, 205, 227, 233], "int": [5, 26, 27, 36, 38, 44, 87, 93, 94, 95, 101, 111, 115, 133, 134, 141, 144, 153, 155, 178, 186, 188, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 227], "edge_node_connect": [5, 44, 124, 198, 223, 227, 228, 233], "none": [5, 18, 20, 21, 22, 36, 38, 39, 44, 74, 76, 77, 78, 86, 104, 108, 109, 111, 115, 116, 117, 118, 127, 133, 134, 137, 151, 153, 155, 157, 164, 172, 184, 186, 187, 188, 190, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 233, 235, 237], "name": [5, 15, 20, 29, 34, 37, 44, 61, 69, 76, 78, 82, 84, 85, 97, 107, 110, 112, 127, 135, 137, 148, 149, 154, 157, 162, 171, 172, 174, 175, 182, 183, 185, 186, 187, 188, 190, 195, 197, 198, 199, 200, 201, 202, 203, 205, 206, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 231, 232, 233, 234, 235, 237], "network1d": [5, 20], "index": [5, 22, 31, 35, 43, 44, 71, 86, 100, 109, 110, 121, 151, 152, 185, 203, 205, 208, 209, 210, 223, 227, 228, 230, 231, 232, 233, 234, 237, 246, 247], "dict": [5, 22, 35, 43, 44, 86, 109, 121, 135, 137, 162, 171, 172, 183, 195, 198, 199, 200, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 233], "project": [5, 20, 36, 37, 38, 44, 76, 111, 112, 115, 153, 155, 186, 188, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 232, 237], "bool": [5, 20, 22, 34, 35, 36, 37, 39, 43, 44, 76, 86, 88, 107, 109, 111, 112, 113, 114, 116, 121, 124, 133, 134, 141, 153, 156, 186, 189, 202, 204, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 228], "true": [5, 20, 22, 37, 43, 44, 76, 86, 112, 113, 114, 121, 141, 204, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 223, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 246], "cr": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188, 196, 223, 237], "ani": [5, 20, 21, 44, 76, 77, 203, 204, 205, 207, 210, 211, 222, 223, 231, 232, 234, 235, 246], "attr": [5, 44, 203, 205, 210, 223], "topolog": [5, 41, 44, 227, 228, 232, 233], "1": [5, 42, 80, 81, 133, 134, 141, 151, 202, 203, 204, 205, 207, 208, 209, 210, 221, 222, 227, 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44, 76, 77, 111, 115, 153, 155, 183, 186, 188, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219], "xr": [5, 6, 7, 18, 22, 44, 46, 47, 48, 74, 78, 82, 84, 85, 86, 109, 110, 117, 118, 127, 139, 140, 146, 147, 151, 152, 158, 161, 174, 175, 180, 181, 185, 191, 194, 203, 204, 205, 207, 209, 210, 221, 222, 223, 228, 233, 234], "when": [5, 36, 44, 111, 153, 186, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 227, 230, 233, 234, 237], "map": [5, 44, 135, 162, 171, 183, 195, 203, 204, 205, 207, 212, 213, 214, 215, 216, 217, 218, 219, 222, 233, 235], "ugrid": [5, 14, 16, 17, 18, 20, 22, 26, 27, 36, 38, 40, 44, 60, 63, 64, 74, 76, 78, 82, 86, 93, 95, 109, 111, 115, 119, 124, 127, 129, 138, 142, 143, 149, 151, 153, 155, 156, 158, 161, 162, 165, 173, 176, 177, 183, 186, 188, 189, 191, 194, 195, 197, 198, 199, 200, 206, 223, 227, 228, 230, 231, 232, 234, 235, 237, 238, 239, 240, 241, 246], "role": [5, 44, 199, 201, 233], "variabl": [5, 34, 44, 107, 156, 158, 161, 189, 191, 194, 197, 198, 199, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 222, 223, 230, 232, 233, 237, 242], "face_x": [5, 44], "mesh2d_face_lon": [5, 44], "whether": [5, 20, 22, 43, 44, 76, 86, 121, 124, 141, 156, 189, 196, 208, 209, 210, 211, 223, 235], "longitud": [5, 20, 44, 76, 223], "latitud": [5, 20, 44, 76, 223], "x": [5, 14, 16, 20, 28, 35, 37, 44, 54, 55, 60, 63, 68, 72, 76, 78, 79, 80, 81, 82, 83, 84, 85, 96, 104, 105, 109, 110, 112, 117, 127, 139, 146, 147, 151, 152, 154, 159, 174, 175, 180, 181, 184, 185, 187, 192, 199, 203, 204, 205, 207, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227, 228, 230, 232, 233, 234, 235, 237, 238, 241, 246], "y": [5, 14, 17, 20, 28, 35, 37, 44, 54, 55, 60, 64, 68, 73, 76, 78, 79, 80, 81, 82, 83, 84, 85, 96, 104, 105, 109, 110, 112, 118, 127, 139, 146, 147, 151, 152, 154, 174, 175, 180, 181, 184, 185, 187, 199, 203, 204, 205, 207, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227, 228, 230, 232, 233, 234, 235, 237, 238, 241, 246], "coordin": [5, 6, 7, 14, 16, 17, 20, 21, 28, 33, 36, 37, 38, 44, 46, 47, 48, 60, 63, 64, 72, 73, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 96, 104, 105, 106, 109, 110, 111, 112, 115, 118, 127, 130, 131, 132, 135, 137, 139, 140, 147, 148, 149, 151, 152, 153, 154, 155, 158, 161, 163, 168, 169, 170, 171, 172, 174, 175, 181, 182, 183, 185, 186, 187, 188, 191, 194, 196, 200, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 228, 231, 232, 233, 234, 235, 237, 246], "write": [5, 20, 44, 76, 158, 161, 191, 194, 208, 209, 223, 231, 247], "appropri": [5, 20, 44, 76, 165, 208, 209, 223, 234], "standard_nam": [5, 20, 44, 76, 233, 234, 235], "refer": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 137, 141, 153, 155, 172, 186, 188, 196, 203, 204, 205, 207, 208, 209, 210, 211, 222, 223, 237, 246, 247], "system": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 137, 153, 155, 172, 186, 188, 196, 204, 207, 208, 209, 211, 222, 223, 237, 242], "geometri": [5, 20, 21, 36, 38, 40, 44, 76, 77, 85, 111, 115, 119, 153, 155, 157, 186, 188, 190, 202, 221, 223, 229, 233, 235, 236, 246, 247], "anyth": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "accept": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188, 208, 209, 211, 223], "pyproj": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 137, 153, 155, 172, 186, 188], "from_user_input": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "author": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "eg": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "epsg": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188, 237], "4326": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188, 237], "wkt": [5, 20, 21, 36, 38, 44, 76, 77, 111, 115, 153, 155, 186, 188], "topologi": [5, 10, 14, 16, 17, 18, 19, 20, 21, 22, 26, 27, 33, 36, 40, 43, 44, 53, 60, 63, 64, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 93, 94, 95, 101, 104, 106, 110, 111, 113, 114, 119, 121, 122, 123, 125, 128, 129, 138, 142, 143, 148, 149, 153, 156, 157, 165, 166, 173, 174, 175, 176, 177, 182, 183, 185, 186, 187, 188, 189, 190, 197, 199, 200, 206, 212, 213, 214, 215, 216, 217, 218, 219, 220, 223, 231, 232, 233, 234, 235, 237, 238, 240, 245, 246], "should": [5, 44, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 227, 235, 237, 247], "togeth": [5, 44, 203, 205, 210, 212, 213, 214, 215, 216, 217, 218, 219, 237], "updat": [5, 44, 149, 183, 202, 223], "instead": [5, 44, 141, 203, 205, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 232, 234, 235], "A": [5, 44, 52, 137, 172, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 223, 227, 228, 230, 233, 234, 235, 237, 246], "entri": [5, 44], "ignor": [5, 44, 110, 152, 185, 203, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228], "given": [5, 37, 44, 112, 136, 144, 154, 178, 187, 204, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 222, 228, 231, 235], "explicitli": [5, 44, 210, 246], "obj": [6, 7, 22, 33, 35, 37, 46, 47, 48, 84, 85, 86, 106, 109, 110, 112, 117, 118, 126, 129, 139, 148, 164, 167, 174, 182, 203, 223, 228, 232], "assign": [6, 7, 46, 47, 48, 130, 131, 132, 168, 169, 170, 203, 231], "return": [6, 7, 9, 10, 13, 18, 19, 20, 22, 23, 24, 25, 30, 31, 33, 35, 40, 41, 43, 46, 47, 48, 51, 52, 53, 54, 56, 59, 62, 65, 66, 67, 68, 69, 70, 71, 74, 75, 76, 77, 78, 79, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 94, 98, 99, 100, 101, 104, 105, 106, 108, 109, 110, 113, 114, 117, 118, 119, 121, 122, 123, 124, 125, 127, 130, 131, 132, 133, 134, 136, 137, 139, 140, 141, 144, 145, 146, 147, 148, 150, 151, 152, 156, 157, 159, 160, 163, 165, 168, 169, 170, 172, 173, 174, 175, 176, 178, 179, 180, 181, 182, 185, 189, 190, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 227, 228, 230, 231, 234, 235], "new": [6, 7, 34, 36, 38, 43, 46, 47, 48, 107, 111, 115, 121, 130, 131, 132, 140, 149, 151, 153, 155, 168, 169, 170, 175, 183, 186, 188, 203, 204, 207, 208, 209, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227, 231, 234, 237], "all": [6, 7, 10, 34, 38, 46, 47, 48, 65, 66, 107, 115, 130, 131, 132, 136, 155, 157, 158, 161, 168, 169, 170, 177, 180, 181, 186, 188, 190, 191, 194, 202, 203, 205, 206, 208, 209, 210, 211, 220, 223, 228, 230, 231, 232, 234, 235, 237, 246], "origin": [6, 7, 46, 47, 48, 123, 130, 131, 132, 168, 169, 170, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 230, 231, 234, 237], "addit": [6, 7, 32, 46, 47, 48, 103, 130, 131, 132, 168, 169, 170, 203, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 234, 247], "type": [6, 7, 9, 10, 13, 18, 19, 20, 23, 24, 25, 30, 31, 33, 40, 41, 42, 46, 47, 48, 51, 54, 59, 62, 65, 66, 67, 68, 70, 71, 74, 75, 76, 77, 78, 79, 82, 84, 85, 87, 88, 89, 90, 91, 92, 98, 99, 100, 101, 106, 108, 110, 113, 114, 119, 120, 122, 124, 126, 127, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 144, 145, 146, 147, 148, 150, 151, 152, 156, 157, 159, 160, 162, 164, 165, 167, 168, 169, 170, 172, 173, 174, 175, 178, 179, 180, 181, 182, 185, 189, 190, 192, 193, 195, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 223, 235, 237, 247], "same": [6, 7, 46, 47, 48, 136, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227, 230, 232, 233, 234, 237, 246], "properti": [8, 9, 12, 13, 14, 15, 16, 17, 24, 25, 26, 27, 28, 29, 30, 31, 42, 45, 49, 51, 52, 53, 54, 55, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 102, 120, 123, 125, 128, 135, 137, 138, 142, 143, 162, 163, 166, 171, 172, 173, 176, 177, 195, 196, 198, 199, 200, 201, 223], "tupl": [9, 35, 51, 56, 104, 105, 123, 135, 163, 171, 196, 199, 204, 207, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 222], "xmin": [9, 51, 88, 104, 230, 234, 237], "ymin": [9, 51, 88, 104, 230, 234, 237], "xmax": [9, 51, 88, 104, 117, 159, 192, 230, 234, 237], "ymax": [9, 51, 88, 104, 230, 234, 237], "indic": [10, 31, 71, 100, 203, 205, 210, 223, 228, 230, 246], "simplifi": 10, "remov": [10, 23, 90, 208, 209, 211, 223, 227, 228], "list": [10, 138, 143, 144, 145, 157, 177, 178, 179, 190, 197, 199, 201, 203, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 228, 232, 246], "np": [10, 13, 21, 22, 41, 59, 67, 77, 79, 80, 81, 86, 124, 141, 145, 179, 202, 203, 204, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 227, 228, 230, 231, 233, 234, 235, 239], "contract": 10, "creat": [11, 20, 24, 25, 34, 43, 57, 76, 78, 79, 80, 81, 82, 91, 92, 107, 113, 114, 117, 121, 127, 141, 159, 192, 204, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 223, 230, 232, 234, 235, 237, 247], "deepcopi": [11, 57], "numpi": [13, 59, 67, 208, 209, 211, 227, 228, 230, 231, 233, 234, 235, 239, 246], "arrai": [13, 21, 35, 41, 43, 53, 59, 65, 66, 67, 77, 104, 105, 109, 110, 121, 123, 125, 133, 134, 151, 157, 190, 200, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 227, 230, 231, 233, 234, 235, 237, 246, 247], "column": [13, 31, 38, 59, 67, 71, 79, 80, 81, 100, 115, 155, 188, 202, 212, 213, 214, 215, 216, 217, 218, 219, 221, 228, 237, 246], "minx": [13, 59, 67, 135, 163, 171, 196], "mini": [13, 59, 67, 135, 163, 171, 196], "maxx": [13, 59, 67, 135, 163, 171, 196], "maxi": [13, 59, 67, 135, 163, 171, 196], "describ": [13, 53, 59, 67, 125, 223, 228, 246], "bound": [13, 50, 59, 67, 79, 88, 104, 110, 152, 185, 196, 208, 209, 223, 228, 230, 232, 234, 246], "shape": [13, 21, 40, 50, 53, 54, 56, 59, 62, 67, 68, 77, 79, 80, 81, 83, 85, 88, 89, 104, 105, 110, 119, 125, 133, 134, 140, 152, 175, 185, 203, 204, 207, 221, 222, 223, 227, 228, 235, 237, 240, 246], "n_edg": [13, 59, 62, 83, 227, 228, 246], "4": [13, 59, 67, 203, 204, 205, 207, 222, 228, 230, 231, 232, 233, 234, 235, 237, 246], "dimens": [15, 22, 29, 35, 40, 43, 61, 69, 83, 86, 97, 108, 109, 119, 121, 127, 148, 149, 157, 182, 183, 190, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 223, 232, 233, 234, 235, 237], "classmethod": [18, 19, 20, 74, 75, 76], "extract": [18, 74, 223, 228, 232], "1d": [18, 20, 35, 43, 53, 65, 66, 78, 79, 80, 82, 104, 105, 109, 110, 121, 123, 125, 133, 134, 151, 210, 233, 235], "inform": [18, 74, 156, 189, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228, 232, 246, 247], "contain": [18, 31, 50, 71, 74, 79, 100, 123, 124, 135, 137, 163, 171, 172, 173, 176, 183, 187, 196, 198, 203, 205, 208, 209, 210, 211, 220, 221, 223, 230, 232, 233, 234, 237, 239, 240, 241, 243, 246], "accord": [18, 34, 74, 107, 157, 190, 208, 209, 210, 211, 233, 238, 246], "convent": [18, 34, 74, 107, 208, 209, 211, 233, 238, 246], "ugrid1dadapt": [18, 74], "geodatafram": [19, 75, 157, 165, 190, 202, 220, 221, 223, 233, 243, 247], "geopanda": [19, 75, 157, 165, 190, 202, 223, 237, 243, 247], "linestr": [19, 21, 40, 85, 119, 140, 175, 221, 223, 235, 237], "mesh": [20, 32, 44, 76, 87, 101, 103, 144, 178, 202, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 229, 233, 234, 236, 237, 246, 247], "meshkernel": [20, 24, 76, 91, 223], "mesh1d": [20, 24], "mesh2d": [20, 44, 76, 91, 197, 233], "static": [21, 23, 77, 78, 79, 80, 81, 82, 90, 127, 165, 239], "return_index": [22, 43, 86, 121, 223], "fals": [22, 34, 36, 39, 43, 86, 107, 111, 113, 114, 116, 121, 124, 133, 134, 141, 153, 156, 186, 189, 202, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 231, 232, 237, 239, 240, 246], "indexers_kwarg": [22, 86], "select": [22, 35, 84, 85, 86, 109, 110, 151, 152, 185, 223, 229, 231, 232, 236, 247], "base": [22, 31, 35, 71, 79, 80, 81, 86, 100, 204, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 230, 233, 234, 235, 242, 247], "alwai": [22, 86, 109, 151, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 235, 237, 246], "result": [22, 86, 109, 113, 114, 151, 157, 158, 161, 190, 191, 194, 203, 205, 206, 208, 210, 211, 220, 223, 227, 228, 230, 231, 232, 234, 235, 237], "valid": [22, 86, 124, 211, 223, 227, 230, 235, 237], "invalid": [22, 86, 124, 223, 235], "incomplet": [22, 86], "error": [22, 86, 124, 208, 209, 211, 223, 230, 232, 235], "case": [22, 82, 86, 141, 203, 208, 209, 220, 223, 227, 230, 231, 232, 235, 237], "node_index": [22, 43, 86, 121], "edge_index": [22, 43, 65, 83, 86, 121], "dictionari": [22, 43, 86, 121, 137, 172, 199, 200, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223], "kei": [22, 43, 86, 121, 208, 209, 210, 223], "respect": [22, 43, 86, 121, 223, 246], "onli": [22, 23, 33, 43, 55, 86, 90, 106, 121, 148, 182, 183, 187, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 223, 227, 228, 230, 233, 234, 235, 237, 246], "sequenc": [23, 84, 90, 139, 164, 167, 174, 203, 205, 206, 210, 212, 213, 214, 215, 216, 217, 218, 219], "merg": [23, 90, 203, 206, 210, 223, 233, 237, 247], "partit": [23, 87, 90, 145, 179, 206, 223, 227, 229, 236, 247], "singl": [23, 90, 127, 173, 176, 183, 187, 205, 206, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 228, 230, 231, 235, 237], "whole": [23, 90, 196, 231, 233], "duplic": [23, 90, 124], "includ": [23, 50, 82, 90, 138, 143, 157, 190, 203, 208, 209, 210, 221, 223, 227, 228, 230, 235, 237, 243, 246], "onc": [23, 90, 210, 227, 230, 232, 233, 237], "subsequ": [23, 90], "befor": [23, 90, 204, 210, 214, 223, 227, 232, 233, 246], "mk": [24, 25, 91, 92], "need": [24, 25, 52, 91, 92, 210, 227, 234, 242], "instanc": [25, 92], "number": [26, 27, 87, 93, 94, 95, 101, 136, 141, 144, 178, 205, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 227, 228, 230, 231, 233, 234, 237, 246], "vertic": [27, 28, 41, 53, 95, 96, 125, 223, 227, 228, 233, 237], "csr_matrix": [30, 31, 44, 70, 71, 98, 99, 100, 125, 228], "adjac": [31, 71, 100, 246], "matrix": [31, 71, 100, 108, 141, 150, 223, 228, 246], "csr": [31, 71, 100, 223], "format": [31, 71, 100, 208, 209, 211, 223, 233, 246], "row": [31, 71, 79, 80, 81, 100, 212, 213, 214, 215, 216, 217, 218, 219, 228, 237, 246], "0": [31, 33, 71, 100, 106, 109, 141, 148, 151, 182, 202, 203, 204, 205, 207, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 243, 244, 245, 246], "form": [31, 71, 100, 208, 209, 210, 211, 223, 228, 232, 234, 235, 237, 246], "kwarg": [32, 103, 158, 161, 191, 194, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 227], "keyword": [32, 103, 204, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223], "argument": [32, 103, 158, 161, 183, 191, 194, 202, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 230, 235, 247], "matplotlib": [32, 103, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 245], "pyplot": [32, 103, 212, 213, 214, 227, 228, 230, 231, 232, 234, 235, 237, 238, 239, 240, 241, 245], "toler": [33, 106, 141, 148, 182, 223], "conform": [33, 106, 148, 182], "match": [33, 106, 118, 148, 182, 196, 203, 206, 208, 209, 210, 211], "must": [33, 38, 106, 115, 118, 127, 148, 155, 157, 182, 188, 190, 203, 205, 206, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 230, 237], "equival": [33, 106, 148, 182, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 231, 235, 237], "differ": [33, 38, 83, 106, 113, 114, 115, 148, 155, 182, 188, 203, 205, 210, 223, 227, 228, 230, 231, 232, 233, 237, 246], "distanc": [33, 84, 85, 106, 141, 148, 174, 175, 182, 223], "inexact": [33, 106, 148, 182], "reindex": [33, 106, 148, 182], "return_name_dict": [34, 107], "slice": [35, 109, 151, 203, 210, 230, 233, 234, 235], "as_ugrid": [35, 109], "coord": [35, 109, 203, 204, 205, 207, 210, 222, 234], "allow_overrid": [36, 111, 153, 186], "set": [36, 37, 38, 111, 112, 113, 114, 115, 137, 141, 153, 154, 155, 172, 186, 187, 188, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 228, 231, 232, 237, 242, 246], "note": [36, 111, 118, 141, 153, 186, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 227, 231, 233, 234, 237], "underli": [36, 111, 153, 186, 204, 207, 208, 209, 222, 232, 235], "transform": [36, 38, 111, 115, 153, 155, 186, 188], "To": [36, 111, 113, 114, 124, 127, 153, 186, 197, 228, 230, 231, 232, 233, 234, 235], "to_cr": [36, 111, 153, 186, 223, 237], "specifi": [36, 38, 111, 115, 153, 155, 186, 188, 203, 204, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 222, 223, 246], "code": [36, 38, 111, 115, 153, 155, 186, 188, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 243, 245], "alreadi": [36, 111, 153, 186, 203, 210, 211, 223, 245], "ha": [36, 38, 111, 115, 141, 153, 155, 157, 186, 188, 190, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 232, 235, 246], "allow": [36, 111, 141, 153, 186, 220, 223, 232], "replac": [36, 111, 153, 186, 208, 209, 211, 223, 227], "exist": [36, 111, 153, 186, 203, 208, 209, 211, 223, 227, 235], "even": [36, 111, 153, 186, 209, 210, 223, 246], "both": [36, 111, 153, 186, 203, 205, 210, 212, 213, 214, 215, 216, 217, 218, 219, 223, 227, 228, 231, 246], "equal": [36, 109, 111, 118, 141, 151, 153, 186, 203, 205, 208, 209, 210, 211, 223, 228, 230], "them": [37, 112, 154, 187, 200, 205, 208, 209, 210, 211, 227, 228, 231, 232, 233, 242], "activ": [38, 115, 155, 188, 208, 209, 223], "output": [38, 115, 155, 188, 207, 222, 228, 231, 239], "point": [38, 40, 56, 84, 89, 109, 110, 115, 119, 139, 151, 152, 155, 157, 174, 185, 188, 190, 202, 223, 228, 232, 237, 246, 247], "notion": [38, 115, 155, 188], "cell": [38, 79, 113, 114, 115, 155, 188, 202, 220, 221, 223, 227, 228, 230, 231, 234, 237, 246], "segment": [38, 115, 140, 155, 175, 188, 221, 235, 237], "join": [38, 115, 155, 188, 203, 205, 210], "assum": [38, 78, 82, 115, 127, 155, 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"pcolormesh() (in module xugrid.plot)": [[216, "xugrid.plot.pcolormesh"]], "scatter() (in module xugrid.plot)": [[217, "xugrid.plot.scatter"]], "surface() (in module xugrid.plot)": [[218, "xugrid.plot.surface"]], "tripcolor() (in module xugrid.plot)": [[219, "xugrid.plot.tripcolor"]], "polygonize() (in module xugrid)": [[220, "xugrid.polygonize"]], "snap_to_grid() (in module xugrid)": [[221, "xugrid.snap_to_grid"]], "zeros_like() (in module xugrid)": [[222, "xugrid.zeros_like"]]}}) \ No newline at end of file

    Elevation NL (elevation_nl.py)

    00:00.814

    00:00.807

    0.0 MB

    ADH San Diego (adh_san_diego.py)

    00:00.320

    00:00.324

    0.0 MB

    Disk (disk.py)

    00:00.163

    00:00.164

    0.0 MB

    Pronvinces NL (provinces_nl.py)

    00:00.085

    00:00.071

    0.0 MB

    Xoxo (xoxo.py)