From 5c47c629c8ca6427fde707d26ab421958b8cf1ab Mon Sep 17 00:00:00 2001
From: Jon Mease <jon.mease@gmail.com>
Date: Wed, 13 Jun 2018 10:37:31 -0400
Subject: [PATCH] Added iris_dashboard example
---
notebooks/iris_dashboard.ipynb | 2068 ++++++++++++++++++++++++++++++++
requirements.txt | 3 +
2 files changed, 2071 insertions(+)
create mode 100644 notebooks/iris_dashboard.ipynb
diff --git a/notebooks/iris_dashboard.ipynb b/notebooks/iris_dashboard.ipynb
new file mode 100644
index 0000000..efe7a7b
--- /dev/null
+++ b/notebooks/iris_dashboard.ipynb
@@ -0,0 +1,2068 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# ipyplotly\n",
+ "from plotly.graph_objs import FigureWidget\n",
+ "from plotly.callbacks import Points, InputDeviceState\n",
+ "\n",
+ "# pandas\n",
+ "import pandas as pd\n",
+ "\n",
+ "# numpy\n",
+ "import numpy as np\n",
+ "\n",
+ "# scikit learn\n",
+ "from sklearn import datasets\n",
+ "\n",
+ "# ipywidgets\n",
+ "from ipywidgets import HBox, VBox, Button\n",
+ "\n",
+ "# functools\n",
+ "from functools import partial"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>sepal_length</th>\n",
+ " <th>sepal_width</th>\n",
+ " <th>petal_length</th>\n",
+ " <th>petal_width</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>5.1</td>\n",
+ " <td>3.5</td>\n",
+ " <td>1.4</td>\n",
+ " <td>0.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>4.9</td>\n",
+ " <td>3.0</td>\n",
+ " <td>1.4</td>\n",
+ " <td>0.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>4.7</td>\n",
+ " <td>3.2</td>\n",
+ " <td>1.3</td>\n",
+ " <td>0.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4.6</td>\n",
+ " <td>3.1</td>\n",
+ " <td>1.5</td>\n",
+ " <td>0.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5.0</td>\n",
+ " <td>3.6</td>\n",
+ " <td>1.4</td>\n",
+ " <td>0.2</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " sepal_length sepal_width petal_length petal_width\n",
+ "0 5.1 3.5 1.4 0.2\n",
+ "1 4.9 3.0 1.4 0.2\n",
+ "2 4.7 3.2 1.3 0.2\n",
+ "3 4.6 3.1 1.5 0.2\n",
+ "4 5.0 3.6 1.4 0.2"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Load iris dataset\n",
+ "iris_data = datasets.load_iris()\n",
+ "feature_names = [name.replace(' (cm)', '').replace(' ', '_') for name in iris_data.feature_names]\n",
+ "iris_df = pd.DataFrame(iris_data.data, columns=feature_names)\n",
+ "iris_class = iris_data.target + 1\n",
+ "N = len(iris_df)\n",
+ "iris_df.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "b6f15bef8066462dbc46d48332c3f961",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "FigureWidget(**{\n",
+ " 'data': [{'marker': {'cmax': 1.5,\n",
+ " 'cmin': -0.5,\n",
+ " …"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "f1 = FigureWidget(**{\n",
+ " 'data': [{'marker': {'cmax': 1.5,\n",
+ " 'cmin': -0.5,\n",
+ " 'color': np.zeros(N),\n",
+ " 'colorbar': {'ticks': 'outside', 'ticktext': ['unselected', 'selected'], 'tickvals': [0, 1]},\n",
+ " 'colorscale': [[0, 'lightgray'], [0.5, 'lightgray'],\n",
+ " [0.5, 'red'], [1, 'red']],\n",
+ " 'showscale': False,\n",
+ " 'size': 8},\n",
+ " 'mode': 'markers',\n",
+ " 'type': 'scatter',\n",
+ " 'uid': '9fb32f14-6f15-11e8-973c-645aede86e5b',\n",
+ " 'x': iris_df.sepal_length,\n",
+ " 'y': iris_df.petal_width}],\n",
+ " 'layout': {'dragmode': 'lasso', 'width': 500}\n",
+ "})\n",
+ "scatt1 = f1.data[0]\n",
+ "f1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "abdfde4eeb7c47a688500a91ca2208b3",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "FigureWidget(**{\n",
+ " 'data': [{'marker': {'cmax': 1.5,\n",
+ " 'cmin': -0.5,\n",
+ " …"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "f2 = FigureWidget(**{\n",
+ " 'data': [{'marker': {'cmax': 1.5,\n",
+ " 'cmin': -0.5,\n",
+ " 'color': np.zeros(N),\n",
+ " 'colorbar': {'ticks': 'outside', 'ticktext': ['unselected', 'selected'], 'tickvals': [0, 1]},\n",
+ " 'colorscale': [[0, 'lightgray'], [0.5, 'lightgray'],\n",
+ " [0.5, 'red'], [1, 'red']],\n",
+ " 'size': 8},\n",
+ " 'mode': 'markers',\n",
+ " 'type': 'scatter',\n",
+ " 'uid': 'e3f13218-6f15-11e8-b2a9-645aede86e5b',\n",
+ " 'x': iris_df.petal_length,\n",
+ " 'y': iris_df.sepal_width}],\n",
+ " 'layout': {'dragmode': 'lasso', 'width': 500, 'xaxis': {'title': 'petal_length'}, 'yaxis': {'title': 'sepal_width'}}\n",
+ "})\n",
+ "scatt2 = f2.data[0]\n",
+ "f2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Configure brush on both plots to update both plots\n",
+ "def brush(trace, points, state):\n",
+ " inds = np.array(points.point_inds)\n",
+ " if inds.size:\n",
+ " selected = scatt1.marker.color.copy()\n",
+ " selected[inds] = 1\n",
+ " scatt1.marker.color = selected\n",
+ " scatt2.marker.color = selected \n",
+ " \n",
+ "scatt1.on_selection(brush)\n",
+ "scatt2.on_selection(brush)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
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+ },
+ "text/plain": [
+ "Button(description='clear', style=ButtonStyle())"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Reset brush\n",
+ "def reset_brush(btn):\n",
+ " selected = np.zeros(iris_class.size)\n",
+ " scatt1.marker.color = selected\n",
+ " scatt2.marker.color = selected\n",
+ " \n",
+ "# Create reset button\n",
+ "button = Button(description=\"clear\")\n",
+ "button.on_click(reset_brush)\n",
+ "button"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
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+ "text/plain": [
+ "VBox(children=(HBox(children=(FigureWidget(**{\n",
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+ ]
+ },
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+ }
+ ],
+ "source": [
+ "VBox([HBox([f1, f2]), button])"
+ ]
+ },
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diff --git a/requirements.txt b/requirements.txt
index 705f32d..03ee421 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,3 +2,6 @@ plotly==3.0rc6
ipywidgets
notebook
jupyterlab
+numpy
+pandas
+sklearn
--
GitLab