Joyplot Doc

_posts/python/statistical/joyplot/joyplot.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### New to Plotly?\n",
+    "Plotly's Python library is free and open source! [Get started](https://plot.ly/python/getting-started/) by downloading the client and [reading the primer](https://plot.ly/python/getting-started/).\n",
+    "<br>You can set up Plotly to work in [online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or [offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).\n",
+    "<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Version Check\n",
+    "Plotly's python package is updated frequently. Run `pip install plotly --upgrade` to use the latest version."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'3.2.0'"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import plotly\n",
+    "plotly.__version__"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Joy Plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~jordanpeterson/1160.embed\" height=\"525px\" width=\"100%\"></iframe>"
+      ],
+      "text/plain": [
+       "<plotly.tools.PlotlyDisplay object>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import plotly.plotly as py\n",
+    "import plotly.graph_objs as go\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "df = pd.read_csv(\"https://raw.githubusercontent.com/plotly/datasets/master/violin_data.csv\")\n",
+    "\n",
+    "trace1 = dict(\n",
+    "    orientation='h',\n",
+    "    type='violin',\n",
+    "    x=list(df['total_bill'] + 4),\n",
+    "    y0=1,\n",
+    "    box=dict(visible=False),\n",
+    "    line=dict(width=0),\n",
+    "    meanline=dict(visible=False),\n",
+    "    fillcolor='#c78dd3',\n",
+    "    opacity=0.8,\n",
+    "    points=False,\n",
+    "    side='positive',\n",
+    ")\n",
+    "\n",
+    "trace2 = dict(\n",
+    "    orientation='h',\n",
+    "    type='violin',\n",
+    "    x=list(df['total_bill'] + 4),\n",
+    "    y0=0.1,\n",
+    "    box=dict(visible=False),\n",
+    "    line=dict(width=0),\n",
+    "    meanline=dict(visible=False),\n",
+    "    fillcolor='#8dd3c7',\n",
+    "    opacity=0.8,\n",
+    "    points=False,\n",
+    "    side='positive',\n",
+    ")\n",
+    "\n",
+    "fig = dict(\n",
+    "    data=[trace1, trace2,],\n",
+    "    layout=dict(\n",
+    "        title='',\n",
+    "        yaxis=dict(zeroline=False),\n",
+    "        showlegend=False\n",
+    "    )\n",
+    ")\n",
+    "\n",
+    "py.iplot(fig, filename='violin-for-joyplot')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Reference\n",
+    "See https://plot.ly/python/reference/#violin for more information and chart attribute options!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700\" rel=\"stylesheet\" type=\"text/css\" />"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting git+https://github.com/plotly/publisher.git\n",
+      "  Cloning https://github.com/plotly/publisher.git to c:\\users\\branden\\appdata\\local\\temp\\pip-5beb6u-build\n",
+      "Installing collected packages: publisher\n",
+      "  Found existing installation: publisher 0.11\n",
+      "    Uninstalling publisher-0.11:\n",
+      "      Successfully uninstalled publisher-0.11\n",
+      "  Running setup.py install for publisher: started\n",
+      "    Running setup.py install for publisher: finished with status 'done'\n",
+      "Successfully installed publisher-0.11\n"
+     ]
+    }
+   ],
+   "source": [
+    "from IPython.display import display, HTML\n",
+    "\n",
+    "display(HTML('<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700\" rel=\"stylesheet\" type=\"text/css\" />'))\n",
+    "display(HTML('<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">'))\n",
+    "\n",
+    "! pip install git+https://github.com/plotly/publisher.git --upgrade\n",
+    "import publisher\n",
+    "publisher.publish(\n",
+    "    'joyplot.ipynb', 'python/joy-plots/', 'Joy Plots',\n",
+    "    'How to make joy plots and ridgeline plots in Python with Plotly.',\n",
+    "    title = 'Joy Plots | Plotly',\n",
+    "    has_thumbnail='true',\n",
+    "    thumbnail='thumbnail/joyplot.jpg',\n",
+    "    language='python', \n",
+    "    display_as='statistical', \n",
+    "    order=12.1, #ipynb='~notebook_demo/201'\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}