Added datashader example notebook

9f7aedd3 · Jon Mease · 205ba159 · 9f7aedd3 · 205ba159 · 9f7aedd3
Commit 9f7aedd3 authored Jun 13, 2018 by Jon Mease
--- a/notebooks/DataShaderExample.ipynb
+++ b/notebooks/DataShaderExample.ipynb
--- a/notebooks/Simple plot.ipynb
+++ b/notebooks/Simple plot.ipynb
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import plotly.graph_objs as go\n",
-    "from ipywidgets import IntSlider, VBox"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7ea9cf0f2a184f95bbce63f39c375e3a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "FigureWidget(**{\n",
-       "    'data': [{'type': 'scatter', 'uid': 'afbdbe06-6f10-11e8-bdbe-645aede86e5b', 'y': [3, 2, 3…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = go.FigureWidget(data=[{'y': [3, 2, 3, 4]}])\n",
-    "fig"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "50259ebcebfe4d8bb93db736ef5d9af2",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(FigureWidget(**{\n",
-       "    'data': [{'type': 'scatter', 'uid': 'afbdbe06-6f10-11e8-bdbe-645aede86e5b'…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "slider = IntSlider()\n",
-    "VBox([fig, slider])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.5"
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "2cd78ee757874d6e9a2a872bb597a6a4": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "1.0.0",
-      "model_name": "LayoutModel",
-      "state": {}
-     },
-     "50259ebcebfe4d8bb93db736ef5d9af2": {
-      "model_module": "@jupyter-widgets/controls",
-      "model_module_version": "1.2.0",
-      "model_name": "VBoxModel",
-      "state": {
-       "children": [
-        "IPY_MODEL_7ea9cf0f2a184f95bbce63f39c375e3a",
-        "IPY_MODEL_f7b5cda341ea4a43a8bc26a2cac8c250"
-       ],
-       "layout": "IPY_MODEL_5a2d5a253c4d46adb20941b5207def37"
-      }
-     },
-     "5a2d5a253c4d46adb20941b5207def37": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "1.0.0",
-      "model_name": "LayoutModel",
-      "state": {}
-     },
-     "7ea9cf0f2a184f95bbce63f39c375e3a": {
-      "model_module": "plotlywidget",
-      "model_module_version": "0.1.0",
-      "model_name": "FigureModel",
-      "state": {
-       "_data": [
-        {
-         "type": "scatter",
-         "uid": "afbdbe06-6f10-11e8-bdbe-645aede86e5b",
-         "y": [
-          3,
-          2,
-          3,
-          4
-         ]
-        }
-       ],
-       "_js2py_pointsCallback": {},
-       "_js2py_relayout": {},
-       "_js2py_restyle": {},
-       "_js2py_update": {},
-       "_py2js_addTraces": {},
-       "_py2js_animate": {},
-       "_py2js_deleteTraces": {},
-       "_py2js_moveTraces": {},
-       "_py2js_relayout": {},
-       "_py2js_removeLayoutProps": {},
-       "_py2js_removeTraceProps": {},
-       "_py2js_restyle": {},
-       "_py2js_update": {},
-       "_view_count": 4
-      }
-     },
-     "a23080bb2d79489ba1dc9204f3a54bb0": {
-      "model_module": "@jupyter-widgets/controls",
-      "model_module_version": "1.2.0",
-      "model_name": "SliderStyleModel",
-      "state": {
-       "description_width": ""
-      }
-     },
-     "f7b5cda341ea4a43a8bc26a2cac8c250": {
-      "model_module": "@jupyter-widgets/controls",
-      "model_module_version": "1.2.0",
-      "model_name": "IntSliderModel",
-      "state": {
-       "layout": "IPY_MODEL_2cd78ee757874d6e9a2a872bb597a6a4",
-       "style": "IPY_MODEL_a23080bb2d79489ba1dc9204f3a54bb0"
-      }
-     }
-    },
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
-%% Cell type:code id: tags:
-
-``` python
-import plotly.graph_objs as go
-from ipywidgets import IntSlider, VBox
-```
-
-%% Cell type:code id: tags:
-
-``` python
-fig = go.FigureWidget(data=[{'y': [3, 2, 3, 4]}])
-fig
-```
-
-%% Output
-
-
-%% Cell type:code id: tags:
-
-``` python
-slider = IntSlider()
-VBox([fig, slider])
-```
-
-%% Output
-
-
-%% Cell type:code id: tags:
-
-``` python
-```
--- a/notebooks/iris_dashboard.ipynb
+++ b/notebooks/iris_dashboard.ipynb
--- a/requirements.txt
+++ b/requirements.txt
@@ -6,3 +6,5 @@ numpy
 pandas
 sklearn
 scipy
+pillow
+datashader