From ef61f5a3aa48fd2635e3a8f660f83af9ec8c4442 Mon Sep 17 00:00:00 2001 From: jlstevens Date: Tue, 19 Dec 2017 17:46:32 +0000 Subject: [PATCH] Updated remaining notebook references to Trisurface --- doc/Tutorials/Bokeh_Elements.ipynb | 12 ++++++------ doc/Tutorials/Columnar_Data.ipynb | 2 +- doc/Tutorials/Elements.ipynb | 12 ++++++------ examples/topics/simulation/sri_model.ipynb | 2 +- examples/user_guide/07-Tabular_Datasets.ipynb | 2 +- 5 files changed, 15 insertions(+), 15 deletions(-) diff --git a/doc/Tutorials/Bokeh_Elements.ipynb b/doc/Tutorials/Bokeh_Elements.ipynb index 7a41a6b0a5..e17b3d1f55 100644 --- a/doc/Tutorials/Bokeh_Elements.ipynb +++ b/doc/Tutorials/Bokeh_Elements.ipynb @@ -48,7 +48,7 @@ "
\n", "
Surface
Continuous collection of points in a three-dimensional space. ✗
\n", "
Scatter3D
Discontinuous collection of points in a three-dimensional space. ✗
\n", - "
Trisurface
Continuous but irregular collection of points interpolated into a Surface using Delaunay triangulation. ✗
\n", + "
TriSurface
Continuous but irregular collection of points interpolated into a Surface using Delaunay triangulation. ✗
\n", "
\n", "\n", "\n", @@ -763,14 +763,14 @@ "``Scatter3D`` is the equivalent of ``Scatter`` but for two key dimensions, rather than just one.\n", "\n", "\n", - "### ``Trisurface`` " + "### ``TriSurface`` " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The ``Trisurface`` Element renders any collection of 3D points as a Surface by applying Delaunay triangulation. It thus supports arbitrary, non-gridded data, but it does not support indexing to find data values, since finding the closest ones would require a search." + "The ``TriSurface`` Element renders any collection of 3D points as a Surface by applying Delaunay triangulation. It thus supports arbitrary, non-gridded data, but it does not support indexing to find data values, since finding the closest ones would require a search." ] }, { @@ -779,8 +779,8 @@ "metadata": {}, "outputs": [], "source": [ - "%%opts Trisurface [fig_size=200] (cmap='hot_r')\n", - "hv.Trisurface((x.flat,y.flat,heights.flat))" + "%%opts TriSurface [fig_size=200] (cmap='hot_r')\n", + "hv.TriSurface((x.flat,y.flat,heights.flat))" ] }, { @@ -1418,5 +1418,5 @@ } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/doc/Tutorials/Columnar_Data.ipynb b/doc/Tutorials/Columnar_Data.ipynb index 548ced5c0f..e94ffce45b 100644 --- a/doc/Tutorials/Columnar_Data.ipynb +++ b/doc/Tutorials/Columnar_Data.ipynb @@ -80,7 +80,7 @@ "* 0D: BoxWhisker, Spikes, Distribution*, \n", "* 1D: Scatter, Curve, ErrorBars, Spread, Bars, BoxWhisker, Regression*\n", "* 2D: Points, HeatMap, Bars, BoxWhisker, Bivariate*\n", - "* 3D: Scatter3D, Trisurface, VectorField, BoxWhisker, Bars\n", + "* 3D: Scatter3D, TriSurface, VectorField, BoxWhisker, Bars\n", "\n", "\\* - requires Seaborn\n", "\n", diff --git a/doc/Tutorials/Elements.ipynb b/doc/Tutorials/Elements.ipynb index 08e5f76243..e21c23f218 100644 --- a/doc/Tutorials/Elements.ipynb +++ b/doc/Tutorials/Elements.ipynb @@ -44,7 +44,7 @@ "
\n", "
Surface
Continuous collection of points in a three-dimensional space.
\n", "
Scatter3D
Discontinuous collection of points in a three-dimensional space.
\n", - "
Trisurface
Continuous but irregular collection of points interpolated into a Surface using Delaunay triangulation.
\n", + "
TriSurface
Continuous but irregular collection of points interpolated into a Surface using Delaunay triangulation.
\n", "
\n", "\n", "\n", @@ -796,14 +796,14 @@ "``Scatter3D`` is the equivalent of ``Scatter`` but for two key dimensions, rather than just one.\n", "\n", "\n", - "### ``Trisurface`` " + "### ``TriSurface`` " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The ``Trisurface`` Element renders any collection of 3D points as a Surface by applying Delaunay triangulation. It thus supports arbitrary, non-gridded data, but it does not support indexing to find data values, since finding the closest ones would require a search." + "The ``TriSurface`` Element renders any collection of 3D points as a Surface by applying Delaunay triangulation. It thus supports arbitrary, non-gridded data, but it does not support indexing to find data values, since finding the closest ones would require a search." ] }, { @@ -812,8 +812,8 @@ "metadata": {}, "outputs": [], "source": [ - "%%opts Trisurface [fig_size=200] (cmap='hot_r')\n", - "hv.Trisurface((x.flat,y.flat,heights.flat))" + "%%opts TriSurface [fig_size=200] (cmap='hot_r')\n", + "hv.TriSurface((x.flat,y.flat,heights.flat))" ] }, { @@ -1454,5 +1454,5 @@ } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/examples/topics/simulation/sri_model.ipynb b/examples/topics/simulation/sri_model.ipynb index 69d2e1d4ef..5d126f68ec 100755 --- a/examples/topics/simulation/sri_model.ipynb +++ b/examples/topics/simulation/sri_model.ipynb @@ -576,7 +576,7 @@ "outputs": [], "source": [ "%%opts Layout [fig_size=200] \n", - "%%opts Trisurface (cmap='Reds_r' linewidth=0.1)\n", + "%%opts TriSurface (cmap='Reds_r' linewidth=0.1)\n", "(hv.Table(df).to.trisurface(['pVaccinated', 'Connections'],\n", " '$R_0$', [], group='$R_0$') +\n", "hv.Table(df).to.trisurface(['pVaccinated', 'Connections'],\n", diff --git a/examples/user_guide/07-Tabular_Datasets.ipynb b/examples/user_guide/07-Tabular_Datasets.ipynb index ba2ce65fba..7ca3a10903 100644 --- a/examples/user_guide/07-Tabular_Datasets.ipynb +++ b/examples/user_guide/07-Tabular_Datasets.ipynb @@ -87,7 +87,7 @@ "* 0D: BoxWhisker, Spikes, Distribution*, \n", "* 1D: Scatter, Curve, ErrorBars, Spread, Bars, BoxWhisker, Regression*\n", "* 2D: Points, HeatMap, Bars, BoxWhisker, Bivariate*\n", - "* 3D: Scatter3D, Trisurface, VectorField, BoxWhisker, Bars\n", + "* 3D: Scatter3D, TriSurface, VectorField, BoxWhisker, Bars\n", "\n", "\\* - requires Seaborn\n", "\n",