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a/_preview/11/_sources/notebooks/03-uxarray-vis/002-xarray-to-uxarray.ipynb b/_preview/11/_sources/notebooks/03-uxarray-vis/002-xarray-to-uxarray.ipynb index df4bd2e3..dbd3259f 100644 --- a/_preview/11/_sources/notebooks/03-uxarray-vis/002-xarray-to-uxarray.ipynb +++ b/_preview/11/_sources/notebooks/03-uxarray-vis/002-xarray-to-uxarray.ipynb @@ -134,7 +134,7 @@ "metadata": {}, "outputs": [], "source": [ - "fig, axs = plt.subplots(ncols=2, figsize=(10, 2.5))\n", + "fig, axs = plt.subplots(ncols=2, figsize=(20, 5))\n", "\n", "xrds[\"psi\"].plot(cmap=\"inferno\", ax=axs[0])\n", "xrds[\"psi\"].plot(cmap=\"cividis\", ax=axs[1])" @@ -155,7 +155,7 @@ "execution_count": null, "outputs": [], "source": [ - "uxds[\"psi\"].plot(width=600, height=300, cmap=\"inferno\")" + "uxds[\"psi\"].plot(width=1000, height=500, cmap=\"inferno\")" ], "metadata": { "collapsed": false @@ -177,7 +177,7 @@ "execution_count": null, "outputs": [], "source": [ - "uxds[\"psi\"].plot(aspect=2, fig_inches=12, cmap=\"inferno\", backend=\"matplotlib\")" + "uxds[\"psi\"].plot(aspect=2, fig_inches=14, cmap=\"inferno\", backend=\"matplotlib\")" ], "metadata": { "collapsed": false @@ -198,12 +198,8 @@ "outputs": [], "source": [ "(\n", - " uxds[\"psi\"].plot(\n", - " aspect=2, fig_size=300, cmap=\"inferno\", backend=\"matplotlib\", linewidth=0\n", - " )\n", - " + uxds[\"psi\"].plot(\n", - " aspect=2, fig_size=300, cmap=\"cividis\", backend=\"matplotlib\", linewidth=0\n", - " )\n", + " uxds[\"psi\"].plot(aspect=2, cmap=\"inferno\", backend=\"matplotlib\", linewidth=0)\n", + " + uxds[\"psi\"].plot(aspect=2, cmap=\"cividis\", backend=\"matplotlib\", linewidth=0)\n", ")" ] }, @@ -251,9 +247,7 @@ "source": [ "(\n", " xrds.hvplot(aspect=2, cmap=\"inferno\", title=\"Xarray with hvPlot\")\n", - " + uxds[\"psi\"].plot(\n", - " aspect=2, cmap=\"inferno\", backend=\"matplotlib\", title=\"UXarray Plot\"\n", - " )\n", + " + uxds[\"psi\"].plot(aspect=2, cmap=\"inferno\", backend=\"bokeh\", title=\"UXarray Plot\")\n", ").opts(width=500, height=250)" ], "metadata": { diff --git a/_preview/11/notebooks/01-intro/01-unstructured-grid-overview.html b/_preview/11/notebooks/01-intro/01-unstructured-grid-overview.html index 80697c09..9441cc62 100644 --- a/_preview/11/notebooks/01-intro/01-unstructured-grid-overview.html +++ b/_preview/11/notebooks/01-intro/01-unstructured-grid-overview.html @@ -504,7 +504,7 @@

Structured Grids +../../_images/ed6159453879ac2efab189f17b62b896487b3ebed2f27cadbb86a922833ae0d6.png diff --git a/_preview/11/notebooks/01-intro/02-data-structures.html b/_preview/11/notebooks/01-intro/02-data-structures.html index 1896485f..2c22ab1f 100644 --- a/_preview/11/notebooks/01-intro/02-data-structures.html +++ b/_preview/11/notebooks/01-intro/02-data-structures.html @@ -859,8 +859,8 @@

Grid
<xarray.DataArray 'node_lon' (n_node: 3947)> Size: 32kB
 array([-174.95294523, -172.5318284 , -173.42204784, ...,  113.04705503,
        -102.95294492, -174.9529447 ])
-Dimensions without coordinates: n_node
+Dimensions without coordinates: n_node
@@ -1250,7 +1250,7 @@

Grid + 3689, 2951, 2950]])

      • cf_role :
        face_node_connectivity
        _FillValue :
        -9223372036854775808
        start_index :
        0
      • @@ -1645,8 +1645,8 @@

        UxDataset + bottomDepth (n_face) float64 14kB 4.973e+03 4.123e+03 ... 5.5e+03 4.855e+03

        We can see that our UxDataset has a single data variable bottomDepth, which is mapped to each face (as specified by the n_face dimension).

        We can access this variable by indexing our UxDataset to obtain a UxDataArray

        @@ -2023,8 +2023,8 @@

        UxDataset
        <xarray.UxDataArray 'bottomDepth' (n_face: 1791)> Size: 14kB
         array([4973.        , 4123.        , 2639.        , ..., 5197.        ,
                5499.99027344, 4855.        ])
        -Dimensions without coordinates: n_face
        +Dimensions without coordinates: n_face

        You can access the Grid instance using the .uxgrid attribute, which is linked to every UxDataset and UxDataArray

        @@ -1275,7 +1275,7 @@

        UXarraytodo

        -

        In addition to using hvPlot, the user could also use HoloViews or Datashader on Xarray’s data structures, but this cookbook will not go into detail.

        ADD LINK TO EXAMPLES?

        diff --git a/_preview/11/notebooks/03-uxarray-vis/01-plot-api.html b/_preview/11/notebooks/03-uxarray-vis/01-plot-api.html index fddff182..b20db94d 100644 --- a/_preview/11/notebooks/03-uxarray-vis/01-plot-api.html +++ b/_preview/11/notebooks/03-uxarray-vis/01-plot-api.html @@ -1007,11 +1007,11 @@

        Grid
        -
        +