8000 Joyplot Doc by Kully · Pull Request #1090 · plotly/documentation · GitHub
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Joyplot Doc #1090

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1bb5a4c
started joyplot nb
Coding-with-Adam Sep 13, 2018
ab10f37
add a notebook - WIP
Coding-with-Adam Sep 14, 2018
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started joyplot nb
  • Loading branch information
@Coding-with-Adam
Coding-with-Adam committed Sep 13, 2018
commit 1bb5a4c8f0e610ee73fe7e547aa548e9a112c995
296 changes: 296 additions & 0 deletions _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": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~jordanpeterson/529.embed\" height=\"525px\" width=\"100%\"></iframe>"
],
"text/plain": [
"<plotly.tools.PlotlyDisplay object>"
]
},
"execution_count": 11,
"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",
"fig = {\n",
" \"data\": [{\n",
" \"type\": 'violin',\n",
" \"y\": df['total_bill'],\n",
" \"box\": {\n",
" \"visible\": False\n",
" },\n",
" \"line\": {\n",
" \"color\": 'black'\n",
" },\n",
" \"meanline\": {\n",
" \"visible\": False\n",
" },\n",
" \"fillcolor\": '#8dd3c7',\n",
" \"opacity\": 1,\n",
" \"x0\": 'Total Bill'\n",
" }],\n",
" \"layout\" : {\n",
" \"title\": \"\",\n",
" \"yaxis\": {\n",
" \"zeroline\": False,\n",
" }\n",
" }\n",
"}\n",
"\n",
"py.iplot(fig, filename='violin/basic', validate=False)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'data': [{'box': {'visible': False},\n",
" 'fillcolor': '#8dd3c7',\n",
" 'line': {'color': 'black'},\n",
" 'meanline': {'visible': False},\n",
" 'opacity': 1,\n",
" 'type': 'violin',\n",
" 'x0': 'Total Bill',\n",
" 'y': 0 16.99\n",
" 1 10.34\n",
" 2 21.01\n",
" 3 23.68\n",
" 4 24.59\n",
" 5 25.29\n",
" 6 8.77\n",
" 7 26.88\n",
" 8 15.04\n",
" 9 14.78\n",
" 10 10.27\n",
" 11 35.26\n",
" 12 15.42\n",
" 13 18.43\n",
" 14 14.83\n",
" 15 21.58\n",
" 16 10.33\n",
" 17 16.29\n",
" 18 16.97\n",
" 19 20.65\n",
" 20 17.92\n",
" 21 20.29\n",
" 22 15.77\n",
" 23 39.42\n",
" 24 19.82\n",
" 25 17.81\n",
" 26 13.37\n",
" 27 12.69\n",
" 28 21.70\n",
" 29 19.65\n",
" ... \n",
" 214 28.17\n",
" 215 12.90\n",
" 216 28.15\n",
" 217 11.59\n",
" 218 7.74\n",
" 219 30.14\n",
" 220 12.16\n",
" 221 13.42\n",
" 222 8.58\n",
" 223 15.98\n",
" 224 13.42\n",
" 225 16.27\n",
" 226 10.09\n",
" 227 20.45\n",
" 228 13.28\n",
" 229 22.12\n",
" 230 24.01\n",
" 231 15.69\n",
" 232 11.61\n",
" 233 10.77\n",
" 234 15.53\n",
" 235 10.07\n",
" 236 12.60\n",
" 237 32.83\n",
" 238 35.83\n",
" 239 29.03\n",
" 240 27.18\n",
" 241 22.67\n",
" 242 17.82\n",
" 243 18.78\n",
" Name: total_bill, Length: 244, dtype: float64}],\n",
" 'layout': {'title': '', 'yaxis': {'zeroline': False}}}"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig"
]
},
{
"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
}
0