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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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add a notebook - WIP
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@Coding-with-Adam
Coding-with-Adam committed Sep 14, 2018
commit ab10f37ba6c722b03561e11b18240483b1c9782f
160 changes: 46 additions & 114 deletions _posts/python/statistical/joyplot/joyplot.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -48,19 +48,21 @@
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"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/529.embed\" height=\"525px\" width=\"100%\"></iframe>"
"<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": 11,
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -73,122 +75,52 @@
"\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",
"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",
"py.iplot(fig, filename='violin/basic', validate=False)"
"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": 9,
"execution_count": null,
"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"
]
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
Expand Down