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@@ -612,7 +612,7 @@ Dataset and calling the :py:meth:`UgridDataArray.ugrid.plot()` method. .. code-block:: none - + @@ -647,7 +647,7 @@ the edges results in a different kind of plot: .. code-block:: none - + @@ -689,7 +689,7 @@ We can put them side by side to illustrate the differences: .. code-block:: none - + @@ -719,7 +719,7 @@ filled contours for data associated with the face dimension: .. code-block:: none - + @@ -750,7 +750,7 @@ We can also overlay this data with the edges: .. code-block:: none - + @@ -825,7 +825,7 @@ All these (2D) plots are illustrated here for completeness' sake: .. code-block:: none - + @@ -858,7 +858,7 @@ The ``surface`` methods generate 3D surface plots: .. code-block:: none - + @@ -892,7 +892,7 @@ used: .. code-block:: none - + @@ -928,7 +928,7 @@ take an xarray DataArray and a xugrid grid as arguments. .. code-block:: none - + @@ -964,14 +964,14 @@ 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 12.022 seconds) + **Total running time of the script:** (0 minutes 12.005 seconds) .. _sphx_glr_download_examples_plotting.py: diff --git a/_sources/examples/quick_overview.rst.txt b/_sources/examples/quick_overview.rst.txt index 9183c24f9..da53c70f1 100644 --- a/_sources/examples/quick_overview.rst.txt +++ b/_sources/examples/quick_overview.rst.txt @@ -465,7 +465,7 @@ We'll start by fetching a dataset: elevation (node) float64 73kB ... depth (time, node) float64 4MB ... mesh2d int32 4B ... - face_node_connectivity (face, nmax_face) float64 405kB ...


    • @@ -921,7 +921,7 @@ separate the variables: * node (node) int64 73kB 0 1 2 3 4 5 6 ... 9134 9135 9136 9137 9138 9139 Data variables: elevation (node) float64 73kB ... - depth (time, node) float64 4MB ...


    • @@ -1364,7 +1364,7 @@ We can then grab one of the data variables as usual for xarray: Coordinates: node_x (node) float64 73kB ... node_y (node) float64 73kB ... - * node (node) int64 73kB 0 1 2 3 4 5 6 ... 9134 9135 9136 9137 9138 9139 + * node (node) int64 73kB 0 1 2 3 4 5 6 ... 9134 9135 9136 9137 9138 9139

    @@ -1775,7 +1775,7 @@ some data by hand here: 
    <xarray.DataArray (mesh2d_nFaces: 2)> Size: 16B
     array([1., 2.])
     Coordinates:
-      * mesh2d_nFaces  (mesh2d_nFaces) int64 16B 0 1
    + * mesh2d_nFaces (mesh2d_nFaces) int64 16B 0 1

    @@ -1813,7 +1813,7 @@ Plotting .. code-block:: none - + @@ -1864,7 +1864,7 @@ To select based on the topology, use the ``.ugrid`` attribute: .. code-block:: none - + @@ -2263,7 +2263,7 @@ Computation on DataArrays is unchanged from xarray: 
    <xarray.DataArray (mesh2d_nFaces: 2)> Size: 16B
     array([11., 12.])
     Coordinates:
-      * mesh2d_nFaces  (mesh2d_nFaces) int64 16B 0 1
    + * mesh2d_nFaces (mesh2d_nFaces) int64 16B 0 1

    @@ -2726,7 +2726,7 @@ Conversion from Geopandas is easy too: Coordinates: * mesh2d_nFaces (mesh2d_nFaces) int64 16B 0 1 Data variables: - test (mesh2d_nFaces) float64 16B 1.0 2.0 + test (mesh2d_nFaces) float64 16B 1.0 2.0

    @@ -3123,13 +3123,13 @@ grid (nodes, faces, edges). 
    <xarray.Dataset> Size: 19kB
     Dimensions:        (mesh2d_nNodes: 217, mesh2d_nFaces: 384, mesh2d_nEdges: 600)
     Coordinates:
-      * mesh2d_nFaces  (mesh2d_nFaces) int64 3kB 0 1 2 3 4 5 ... 379 380 381 382 383
       * mesh2d_nNodes  (mesh2d_nNodes) int64 2kB 0 1 2 3 4 5 ... 212 213 214 215 216
       * mesh2d_nEdges  (mesh2d_nEdges) int64 5kB 0 1 2 3 4 5 ... 595 596 597 598 599
+      * mesh2d_nFaces  (mesh2d_nFaces) int64 3kB 0 1 2 3 4 5 ... 379 380 381 382 383
     Data variables:
         node_z         (mesh2d_nNodes) float64 2kB 1.933 2.091 1.875 ... 5.688 7.491
         face_z         (mesh2d_nFaces) float64 3kB 1.737 1.918 2.269 ... 5.408 6.424
-        edge_z         (mesh2d_nEdges) float64 5kB 1.989 1.875 1.8 ... 4.909 6.544
    • mesh2d_nNodes
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=217, step=1, name='mesh2d_nNodes'))
    • mesh2d_nEdges
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=600, step=1, name='mesh2d_nEdges'))
    • mesh2d_nFaces
      PandasIndex
      PandasIndex(RangeIndex(start=0, stop=384, step=1, name='mesh2d_nFaces'))


    • @@ -3642,7 +3642,7 @@ a grid object: 
    <xarray.Dataset> Size: 0B
     Dimensions:  ()
     Data variables:
-        *empty*
    + *empty*

    @@ -4038,7 +4038,7 @@ We can then add variables one-by-one, as we might with an xarray Dataset: node_y (node) float64 73kB ... * node (node) int64 73kB 0 1 2 3 4 5 6 ... 9134 9135 9136 9137 9138 9139 Data variables: - elevation (node) float64 73kB ... + elevation (node) float64 73kB ...

    @@ -4444,7 +4444,7 @@ before writing. elevation (node) float64 73kB ... depth (time, node) float64 4MB ... Attributes: - Conventions: CF-1.9 UGRID-1.0
  • Conventions :
    CF-1.9 UGRID-1.0


    • @@ -4505,7 +4505,7 @@ before writing. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.490 seconds) + **Total running time of the script:** (0 minutes 0.489 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 48bfd037b..70e3fdad0 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 @@ Xugrid 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 - + @@ -710,7 +710,7 @@ result. mesh2d_face_x (mesh2d_nFaces) float64 42kB ... mesh2d_face_y (mesh2d_nFaces) float64 42kB ... * layer (layer) int64 40B 1 2 3 4 5 - * mesh2d_nFaces (mesh2d_nFaces) int64 42kB 0 1 2 3 4 ... 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'))


    • @@ -1153,7 +1153,7 @@ all additional dimensions. -45.92794405, -39.50867478]]) Coordinates: * layer (layer) int64 40B 1 2 3 4 5 - * mesh2d_nFaces (mesh2d_nFaces) int64 784B 0 1 2 3 4 5 ... 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'))


    • @@ -1235,7 +1235,7 @@ and the aggregated mean. .. code-block:: none - [, , , , ] + [, , , , ] @@ -1272,7 +1272,7 @@ To illustrate, we will zoom in to a part of the Netherlands. .. code-block:: none - + @@ -1325,7 +1325,7 @@ the triangles. .. code-block:: none - + @@ -1366,7 +1366,7 @@ the regridders work for any collection of (convex) faces. .. code-block:: none - + @@ -1402,7 +1402,7 @@ is kept the same. .. code-block:: none - + @@ -1418,7 +1418,7 @@ is kept the same. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 8.125 seconds) + **Total running time of the script:** (0 minutes 8.184 seconds) .. _sphx_glr_download_examples_regridder_overview.py: diff --git a/_sources/examples/selection.rst.txt b/_sources/examples/selection.rst.txt index c0cd9cf94..4ebf1c8e8 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 - + @@ -661,7 +661,7 @@ Two values will select a point: mesh2d_x (mesh2d_nFaces) float64 8B 1.5e+05 mesh2d_y (mesh2d_nFaces) float64 8B 4.63e+05 Attributes: - unit: m NAP + unit: m NAP

    @@ -1068,7 +1068,7 @@ of six points: mesh2d_x (mesh2d_nFaces) float64 48B 1.25e+05 1.5e+05 ... 1.75e+05 mesh2d_y (mesh2d_nFaces) float64 48B 4e+05 4e+05 ... 4.65e+05 4.65e+05 Attributes: - unit: m NAP + unit: m NAP

    @@ -1475,7 +1475,7 @@ To select points without broadcasting, use ``.ugrid.sel_points`` instead: mesh2d_x (mesh2d_nFaces) float64 24B 1.25e+05 1.5e+05 1.75e+05 mesh2d_y (mesh2d_nFaces) float64 24B 4e+05 4.3e+05 4.65e+05 Attributes: - unit: m NAP + unit: m NAP

    @@ -1880,9 +1880,9 @@ We can sample points along a line as well by providing slices **with** a step: mesh2d_x (mesh2d_nFaces) float64 80B 1e+05 1.1e+05 ... 1.8e+05 1.9e+05 mesh2d_y (mesh2d_nFaces) float64 80B 4.65e+05 4.65e+05 ... 4.65e+05 Attributes: - unit: m NAP + unit: m NAP

    @@ -2289,7 +2289,7 @@ Two slices with a step results in broadcasting: mesh2d_x (mesh2d_nFaces) float64 800B 1e+05 1.1e+05 ... 1.9e+05 mesh2d_y (mesh2d_nFaces) float64 800B 4e+05 4e+05 ... 4.9e+05 4.9e+05 Attributes: - unit: m NAP
  • unit :
    m NAP


    • @@ -2744,15 +2744,15 @@ As well as a slice with a step and multiple values: mesh2d_x (mesh2d_nFaces) float64 160B 1e+05 1.1e+05 ... 1.9e+05 mesh2d_y (mesh2d_nFaces) float64 160B 4e+05 4e+05 ... 4.3e+05 4.3e+05 Attributes: - unit: m NAP
  • unit :
    m NAP


    • @@ -2936,7 +2936,7 @@ thousands faces: .. code-block:: none - + @@ -2958,7 +2958,7 @@ face dimension for 2D topologies. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 3.518 seconds) + **Total running time of the script:** (0 minutes 3.544 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 cb26849e5..170891826 100644 --- a/_sources/examples/sg_execution_times.rst.txt +++ b/_sources/examples/sg_execution_times.rst.txt @@ -6,7 +6,7 @@ Computation times ================= -**00:49.873** total execution time for 8 files **from examples**: +**00:49.871** total execution time for 8 files **from examples**: .. container:: @@ -33,26 +33,26 @@ Computation times - Time - Mem (MB) * - :ref:`sphx_glr_examples_vector_conversion.py` (``vector_conversion.py``) - - 00:16.461 + - 00:16.370 - 0.0 * - :ref:`sphx_glr_examples_plotting.py` (``plotting.py``) - - 00:12.022 + - 00:12.005 - 0.0 * - :ref:`sphx_glr_examples_regridder_overview.py` (``regridder_overview.py``) - - 00:08.125 + - 00:08.184 - 0.0 * - :ref:`sphx_glr_examples_overlap_regridder.py` (``overlap_regridder.py``) - - 00:03.979 + - 00:04.024 - 0.0 * - :ref:`sphx_glr_examples_partitioning.py` (``partitioning.py``) - - 00:03.930 + - 00:03.873 - 0.0 * - :ref:`sphx_glr_examples_selection.py` (``selection.py``) - - 00:03.518 + - 00:03.544 - 0.0 * - :ref:`sphx_glr_examples_connectivity.py` (``connectivity.py``) - - 00:01.347 + - 00:01.381 - 0.0 * - :ref:`sphx_glr_examples_quick_overview.py` (``quick_overview.py``) - - 00:00.490 + - 00:00.489 - 0.0 diff --git a/_sources/examples/vector_conversion.rst.txt b/_sources/examples/vector_conversion.rst.txt index 4c11dccf7..62e7dd72d 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 - + @@ -519,9 +519,9 @@ GeoDataFrame. Data variables: elevation (mesh2d_nFaces) float32 21kB 1.17 9.81 54.04 ... -15.83 -0.45 mesh2d_face_x (mesh2d_nFaces) float64 42kB 2.388e+04 1.86e+05 ... 3.03e+04 - mesh2d_face_y (mesh2d_nFaces) float64 42kB 3.648e+05 ... 3.964e+05 + mesh2d_face_y (mesh2d_nFaces) float64 42kB 3.648e+05 ... 3.964e+05

    @@ -583,7 +583,7 @@ burn into the grid. .. code-block:: none - + @@ -980,9 +980,9 @@ we want to compute the average surface elevation per province: Coordinates: * id (id) float64 96B 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


    • @@ -1089,7 +1089,7 @@ We can also use such "masks" to e.g. modify specific parts of the grid data: .. code-block:: none - + @@ -1235,7 +1235,7 @@ burn operation. .. code-block:: none - + @@ -1344,7 +1344,7 @@ compare to the grid faces. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 16.461 seconds) + **Total running time of the script:** (0 minutes 16.370 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 7e5fa2a20..65edac44d 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 0.299 seconds) + **Total running time of the script:** (0 minutes 0.294 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 3704d4ad6..433199bbb 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 - + diff --git a/_sources/sample_data/elevation_nl.rst.txt b/_sources/sample_data/elevation_nl.rst.txt index 118496a67..f3514d089 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 0.741 seconds) + **Total running time of the script:** (0 minutes 0.742 seconds) .. _sphx_glr_download_sample_data_elevation_nl.py: diff --git a/_sources/sample_data/sg_execution_times.rst.txt b/_sources/sample_data/sg_execution_times.rst.txt index 87ee6de47..cbfb607ca 100644 --- a/_sources/sample_data/sg_execution_times.rst.txt +++ b/_sources/sample_data/sg_execution_times.rst.txt @@ -6,7 +6,7 @@ Computation times ================= -**00:01.298** total execution time for 5 files **from sample_data**: +**00:01.292** total execution time for 5 files **from sample_data**: .. container:: @@ -33,10 +33,10 @@ Computation times - Time - Mem (MB) * - :ref:`sphx_glr_sample_data_elevation_nl.py` (``elevation_nl.py``) - - 00:00.741 + - 00:00.742 - 0.0 * - :ref:`sphx_glr_sample_data_adh_san_diego.py` (``adh_san_diego.py``) - - 00:00.299 + - 00:00.294 - 0.0 * - :ref:`sphx_glr_sample_data_disk.py` (``disk.py``) - 00:00.139 @@ -45,5 +45,5 @@ Computation times - 00:00.065 - 0.0 * - :ref:`sphx_glr_sample_data_xoxo.py` (``xoxo.py``) - - 00:00.054 + - 00:00.053 - 0.0 diff --git a/_sources/sample_data/xoxo.rst.txt b/_sources/sample_data/xoxo.rst.txt index 2f8ff48f5..ff93ffb81 100644 --- a/_sources/sample_data/xoxo.rst.txt +++ b/_sources/sample_data/xoxo.rst.txt @@ -55,7 +55,7 @@ directory if it's not there already. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.054 seconds) + **Total running time of the script:** (0 minutes 0.053 seconds) .. _sphx_glr_download_sample_data_xoxo.py: diff --git a/_sources/sg_execution_times.rst.txt b/_sources/sg_execution_times.rst.txt index 578e26ac5..3a4622557 100644 --- a/_sources/sg_execution_times.rst.txt +++ b/_sources/sg_execution_times.rst.txt @@ -6,7 +6,7 @@ Computation times ================= -**00:52.312** total execution time for 14 files **from all galleries**: +**00:52.285** total execution time for 14 files **from all galleries**: .. container:: @@ -33,37 +33,37 @@ Computation times - Time - Mem (MB) * - :ref:`sphx_glr_examples_vector_conversion.py` (``../examples/vector_conversion.py``) - - 00:16.461 + - 00:16.370 - 0.0 * - :ref:`sphx_glr_examples_plotting.py` (``../examples/plotting.py``) - - 00:12.022 + - 00:12.005 - 0.0 * - :ref:`sphx_glr_examples_regridder_overview.py` (``../examples/regridder_overview.py``) - - 00:08.125 + - 00:08.184 - 0.0 * - :ref:`sphx_glr_examples_overlap_regridder.py` (``../examples/overlap_regridder.py``) - - 00:03.979 + - 00:04.024 - 0.0 * - :ref:`sphx_glr_examples_partitioning.py` (``../examples/partitioning.py``) - - 00:03.930 + - 00:03.873 - 0.0 * - :ref:`sphx_glr_examples_selection.py` (``../examples/selection.py``) - - 00:03.518 + - 00:03.544 - 0.0 * - :ref:`sphx_glr_examples_connectivity.py` (``../examples/connectivity.py``) - - 00:01.347 + - 00:01.381 - 0.0 * - :ref:`sphx_glr_examples-dev_voronoi.py` (``../examples-dev/voronoi.py``) - - 00:01.141 + - 00:01.122 - 0.0 * - :ref:`sphx_glr_sample_data_elevation_nl.py` (``../data/examples/elevation_nl.py``) - - 00:00.741 + - 00:00.742 - 0.0 * - :ref:`sphx_glr_examples_quick_overview.py` (``../examples/quick_overview.py``) - - 00:00.490 + - 00:00.489 - 0.0 * - :ref:`sphx_glr_sample_data_adh_san_diego.py` (``../data/examples/adh_san_diego.py``) - - 00:00.299 + - 00:00.294 - 0.0 * - :ref:`sphx_glr_sample_data_disk.py` (``../data/examples/disk.py``) - 00:00.139 @@ -72,5 +72,5 @@ Computation times - 00:00.065 - 0.0 * - :ref:`sphx_glr_sample_data_xoxo.py` (``../data/examples/xoxo.py``) - - 00:00.054 + - 00:00.053 - 0.0 diff --git a/examples-dev/sg_execution_times.html b/examples-dev/sg_execution_times.html index 3f73653c5..1d3e7233c 100644 --- a/examples-dev/sg_execution_times.html +++ b/examples-dev/sg_execution_times.html @@ -398,7 +398,7 @@

    Computation times#

    -

    00:01.141 total execution time for 1 file from examples-dev:

    +

    00:01.122 total execution time for 1 file from examples-dev:

    <xarray.DataArray 'elevation' (mesh2d_nFaces: 5248)> Size: 5kB
 array([False, False, False, ..., False, False, False])
 Coordinates:
-  * mesh2d_nFaces  (mesh2d_nFaces) int64 42kB 0 1 2 3 4 ... 5244 5245 5246 5247
    + * mesh2d_nFaces (mesh2d_nFaces) int64 42kB 0 1 2 3 4 ... 5244 5245 5246 5247

    The topology is equivalent, but the nodes, edges, and faces are in a @@ -1287,9 +1287,9 @@

    Preserving orderTotal running time of the script: (0 minutes 3.930 seconds)

    +

    Total running time of the script: (0 minutes 3.873 seconds)

    @@ -973,7 +973,7 @@

    UgridDataArrayuda.ugrid.plot() -plotting
    <matplotlib.collections.PolyCollection object at 0x7f8745e00860>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7fd6b1fd4410>
 
    
 
    
 
    Like Xarray, the axes and the colorbar are labeled automatically using the
@@ -985,7 +985,7 @@ 
    UgridDataArray
    ds["edge_z"].ugrid.plot()
    -plotting
    <matplotlib.collections.LineCollection object at 0x7f87471eb0e0>
+plotting
    <matplotlib.collections.LineCollection object at 0x7fd6a720a2a0>
 
    
 
    
 
    The method called by default depends on the type of the data:
    
@@ -1015,7 +1015,7 @@ 
    UgridDataArrayds["node_z"].ugrid.plot(ax=ax2)
    -plotting
    <matplotlib.collections.PolyCollection object at 0x7f8745e9ef30>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7fd6a7342000>
 
    
 
    
 
    We can also exactly control the type of plot we want. For example, to plot
@@ -1023,7 +1023,7 @@ 
    UgridDataArray
    ds["face_z"].ugrid.plot.contourf()
    -plotting
    <matplotlib.tri._tricontour.TriContourSet object at 0x7f87508e9910>
+plotting
    <matplotlib.tri._tricontour.TriContourSet object at 0x7fd6a71614c0>
 
    
 
    
 
    We can also overlay this data with the edges:
    
@@ -1032,7 +1032,7 @@ 
    UgridDataArrayds["face_z"].ugrid.plot.line(color="black")
    -plotting
    <matplotlib.collections.LineCollection object at 0x7f874fc1a0c0>
+plotting
    <matplotlib.collections.LineCollection object at 0x7fd6b1efe690>
 
    
 
    
 
    In general, there has to be data associated with the mesh topology before a
@@ -1083,7 +1083,7 @@ 
    Other types of plotds["node_z"].ugrid.plot.scatter(ax=axes[4, 2])
    -plotting
    <matplotlib.collections.PathCollection object at 0x7f8745d7ecc0>
+plotting
    <matplotlib.collections.PathCollection object at 0x7fd6a74ab560>
 
    
 
    
 
    The surface methods generate 3D surface plots:
    
@@ -1094,7 +1094,7 @@ 
    Other types of plotds["node_z"].ugrid.plot.surface(ax=ax1)
    -plotting
    <mpl_toolkits.mplot3d.art3d.Poly3DCollection object at 0x7f87460d0260>
+plotting
    <mpl_toolkits.mplot3d.art3d.Poly3DCollection object at 0x7fd6a73c0bf0>
 
    
 
    
 
@@ -1106,7 +1106,7 @@ 
    Additional Arguments
    ds["face_z"].ugrid.plot(cmap="RdBu", levels=8, yincrease=False)
    -plotting
    <matplotlib.collections.PolyCollection object at 0x7f874fde1970>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7fd6a71951f0>
 
    
 
    
 
@@ -1120,7 +1120,7 @@ 
    As a functionxugrid.plot.pcolormesh(grid, da)
    -plotting
    <matplotlib.collections.PolyCollection object at 0x7f8745fea540>
+plotting
    <matplotlib.collections.PolyCollection object at 0x7fd6a8468170>
 
    
 
    
 
@@ -1134,10 +1134,10 @@ 
    Xarray DataArray plotsdepth.isel(node=1000).plot()
    -node_x = 4.84e+05, node_y = 3.614e+06, node = 1000
    [<matplotlib.lines.Line2D object at 0x7f8745f8bfb0>]
+node_x = 4.84e+05, node_y = 3.614e+06, node = 1000
    [<matplotlib.lines.Line2D object at 0x7fd6a83e7440>]
 
    
 
    
-
    Total running time of the script: (0 minutes 12.022 seconds)
    
+
    Total running time of the script: (0 minutes 12.005 seconds)