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qzm/example.ipynb

Created March 18, 2019 02:44
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example.ipynb
{
"cells": [
{
"cell_type": "markdown",
"source": [
"# Time for Plotly in nteract!\n",
"\n",
"This is _also_ a demonstration of custom mimetypes with nteract. Woo!\n"
],
"metadata": {}
},
{
"cell_type": "code",
"source": [
"import IPython\n",
"import plotly\n",
"import json\n",
"\n",
"def plotize(data, layout=None):\n",
" \"\"\"Plot with Plotly.js using the Plotly JSON Chart Schema\n",
" \n",
" http://help.plot.ly/json-chart-schema/\n",
" \"\"\"\n",
" if layout is None:\n",
" layout = {}\n",
" \n",
" redata = json.loads(json.dumps(data, cls=plotly.utils.PlotlyJSONEncoder))\n",
" relayout = json.loads(json.dumps(layout, cls=plotly.utils.PlotlyJSONEncoder))\n",
" \n",
" bundle = {}\n",
" bundle['application/vnd.plotly.v1+json'] = {\n",
" \t'data': redata,\n",
" 'layout': relayout,\n",
" }\n",
" \n",
" IPython.display.display(bundle, raw=True)"
],
"outputs": [],
"execution_count": 1,
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"source": [
"data = [\n",
" {'x': [1999, 2000, 2001, 2002], 'y': [10, 15, 13, 17], 'type': 'scatter'},\n",
" {'x': [1999, 2000, 2001, 2002], 'y': [16, 5, 11, 9], 'type': 'scatter'}\n",
"]\n",
"\n",
"layout = {\n",
" 'title': 'Sales Growth',\n",
" 'xaxis': { 'title': 'Year', 'showgrid': False, 'zeroline': False },\n",
" 'yaxis': { 'title': 'Percent', 'showline': False }\n",
"}"
],
"outputs": [],
"execution_count": 2,
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"source": [
"plotize(data, layout)"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"application/vnd.plotly.v1+json": {
"data": [
{
"y": [
10,
15,
13,
17
],
"x": [
1999,
2000,
2001,
2002
],
"type": "scatter"
},
{
"y": [
16,
5,
11,
9
],
"x": [
1999,
2000,
2001,
2002
],
"type": "scatter"
}
],
"layout": {
"title": "Sales Growth",
"xaxis": {
"zeroline": false,
"title": "Year",
"showgrid": false
},
"yaxis": {
"showline": false,
"title": "Percent"
}
}
}
},
"metadata": {}
}
],
"execution_count": 3,
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"source": [
"import plotly.graph_objs as go\n",
"\n",
"# Create random data with numpy\n",
"import numpy as np\n",
"\n",
"N = 1000\n",
"random_x = np.random.randn(N)\n",
"random_y = np.random.randn(N)\n",
"\n",
"# Create a trace\n",
"trace = go.Scatter(\n",
" x = random_x,\n",
" y = random_y,\n",
" mode = 'markers'\n",
")\n",
"\ndata = [trace]"
],
"outputs": [],
"execution_count": 4,
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"source": [
"plotize(data)"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"application/vnd.plotly.v1+json": {
"data": [
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],
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" x=[1, 2, 3, 4],\n",
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"import plotly.plotly as py\n",
"import plotly.graph_objs as go\n",
"\n",
"import pandas as pd\n",
"import math\n",
"\n",
"data = pd.read_csv(\"https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv\")\n",
"df_2007 = data[data['year']==2007]\n",
"df_2007 = df_2007.sort_values(['continent', 'country'])\n",
"slope = 2.666051223553066e-05\n",
"hover_text = []\n",
"bubble_size = []\n",
"\n",
"for index, row in df_2007.iterrows():\n",
" hover_text.append(('Country: {country}<br>'+\n",
" 'Life Expectancy: {lifeExp}<br>'+\n",
" 'GDP per capita: {gdp}<br>'+\n",
" 'Population: {pop}<br>'+\n",
" 'Year: {year}').format(country=row['country'],\n",
" lifeExp=row['lifeExp'],\n",
" gdp=row['gdpPercap'],\n",
" pop=row['pop'],\n",
" year=row['year']))\n",
" bubble_size.append(math.sqrt(row['pop']*slope))\n",
" \n",
"df_2007['text'] = hover_text\n",
"df_2007['size'] = bubble_size\n",
"\n",
"trace0 = go.Scatter(\n",
" x=df_2007['gdpPercap'][df_2007['continent'] == 'Africa'],\n",
" y=df_2007['lifeExp'][df_2007['continent'] == 'Africa'],\n",
" mode='markers',\n",
" name='Africa',\n",
" text=df_2007['text'][df_2007['continent'] == 'Africa'],\n",
" marker=dict(\n",
" symbol='circle',\n",
" sizemode='diameter',\n",
" sizeref=0.85,\n",
" size=df_2007['size'][df_2007['continent'] == 'Africa'],\n",
" line=dict(\n",
" width=2\n",
" ),\n",
" )\n",
")\n",
"trace1 = go.Scatter(\n",
" x=df_2007['gdpPercap'][df_2007['continent'] == 'Americas'],\n",
" y=df_2007['lifeExp'][df_2007['continent'] == 'Americas'],\n",
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" name='Americas',\n",
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" line=dict(\n",
" width=2\n",
" ),\n",
" )\n",
")\n",
"trace2 = go.Scatter(\n",
" x=df_2007['gdpPercap'][df_2007['continent'] == 'Asia'],\n",
" y=df_2007['lifeExp'][df_2007['continent'] == 'Asia'],\n",
" mode='markers',\n",
" name='Asia',\n",
" text=df_2007['text'][df_2007['continent'] == 'Asia'],\n",
" marker=dict(\n",
" sizemode='diameter',\n",
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" size=df_2007['size'][df_2007['continent'] == 'Asia'],\n",
" line=dict(\n",
" width=2\n",
" ),\n",
" )\n",
")\n",
"trace3 = go.Scatter(\n",
" x=df_2007['gdpPercap'][df_2007['continent'] == 'Europe'],\n",
" y=df_2007['lifeExp'][df_2007['continent'] == 'Europe'],\n",
" mode='markers',\n",
" name='Europe',\n",
" text=df_2007['text'][df_2007['continent'] == 'Europe'],\n",
" marker=dict(\n",
" sizemode='diameter',\n",
" sizeref=0.85,\n",
" size=df_2007['size'][df_2007['continent'] == 'Europe'],\n",
" line=dict(\n",
" width=2\n",
" ),\n",
" )\n",
")\n",
"trace4 = go.Scatter(\n",
" x=df_2007['gdpPercap'][df_2007['continent'] == 'Oceania'],\n",
" y=df_2007['lifeExp'][df_2007['continent'] == 'Oceania'],\n",
" mode='markers',\n",
" name='Oceania',\n",
" text=df_2007['text'][df_2007['continent'] == 'Oceania'],\n",
" marker=dict(\n",
" sizemode='diameter',\n",
" sizeref=0.85,\n",
" size=df_2007['size'][df_2007['continent'] == 'Oceania'],\n",
" line=dict(\n",
" width=2\n",
" ),\n",
" )\n",
")\n",
"\n",
"data = [trace0, trace1, trace2, trace3, trace4]\n",
"layout = go.Layout(\n",
" title='Life Expectancy v. Per Capita GDP, 2007',\n",
" xaxis=dict(\n",
" title='GDP per capita (2000 dollars)',\n",
" gridcolor='rgb(255, 255, 255)',\n",
" range=[2.003297660701705, 5.191505530708712],\n",
" type='log',\n",
" zerolinewidth=1,\n",
" ticklen=5,\n",
" gridwidth=2,\n",
" ),\n",
" yaxis=dict(\n",
" title='Life Expectancy (years)',\n",
" gridcolor='rgb(255, 255, 255)',\n",
" range=[36.12621671352166, 91.72921793264332],\n",
" zerolinewidth=1,\n",
" ticklen=5,\n",
" gridwidth=2,\n",
" ),\n",
" paper_bgcolor='rgb(243, 243, 243)',\n",
" plot_bgcolor='rgb(243, 243, 243)',\n",
")\n",
"\n",
"fig = go.Figure(data=data, layout=layout)\n",
"fig.layout.height = 1000\n",
"plotize(fig.data, fig.layout)"
],
"outputs": [
{
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"data": {
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{
"name": "Africa",
"text": [
"Country: Algeria<br>Life Expectancy: 72.301<br>GDP per capita: 6223.367465<br>Population: 33333216.0<br>Year: 2007",
"Country: Angola<br>Life Expectancy: 42.731<br>GDP per capita: 4797.231267<br>Population: 12420476.0<br>Year: 2007",
"Country: Benin<br>Life Expectancy: 56.728<br>GDP per capita: 1441.284873<br>Population: 8078314.0<br>Year: 2007",
"Country: Botswana<br>Life Expectancy: 50.728<br>GDP per capita: 12569.85177<br>Population: 1639131.0<br>Year: 2007",
"Country: Burkina Faso<br>Life Expectancy: 52.295<br>GDP per capita: 1217.032994<br>Population: 14326203.0<br>Year: 2007",
"Country: Burundi<br>Life Expectancy: 49.58<br>GDP per capita: 430.0706916<br>Population: 8390505.0<br>Year: 2007",
"Country: Cameroon<br>Life Expectancy: 50.43<br>GDP per capita: 2042.09524<br>Population: 17696293.0<br>Year: 2007",
"Country: Central African Republic<br>Life Expectancy: 44.741<br>GDP per capita: 706.016537<br>Population: 4369038.0<br>Year: 2007",
"Country: Chad<br>Life Expectancy: 50.651<br>GDP per capita: 1704.063724<br>Population: 10238807.0<br>Year: 2007",
"Country: Comoros<br>Life Expectancy: 65.152<br>GDP per capita: 986.1478792<br>Population: 710960.0<br>Year: 2007",
"Country: Congo, Dem. Rep.<br>Life Expectancy: 46.462<br>GDP per capita: 277.5518587<br>Population: 64606759.0<br>Year: 2007",
"Country: Congo, Rep.<br>Life Expectancy: 55.322<br>GDP per capita: 3632.557798<br>Population: 3800610.0<br>Year: 2007",
"Country: Cote d'Ivoire<br>Life Expectancy: 48.328<br>GDP per capita: 1544.750112<br>Population: 18013409.0<br>Year: 2007",
"Country: Djibouti<br>Life Expectancy: 54.791<br>GDP per capita: 2082.481567<br>Population: 496374.0<br>Year: 2007",
"Country: Egypt<br>Life Expectancy: 71.338<br>GDP per capita: 5581.180998<br>Population: 80264543.0<br>Year: 2007",
"Country: Equatorial Guinea<br>Life Expectancy: 51.579<br>GDP per capita: 12154.08975<br>Population: 551201.0<br>Year: 2007",
"Country: Eritrea<br>Life Expectancy: 58.04<br>GDP per capita: 641.3695236<br>Population: 4906585.0<br>Year: 2007",
"Country: Ethiopia<br>Life Expectancy: 52.947<br>GDP per capita: 690.8055759<br>Population: 76511887.0<br>Year: 2007",
"Country: Gabon<br>Life Expectancy: 56.735<br>GDP per capita: 13206.48452<br>Population: 1454867.0<br>Year: 2007",
"Country: Gambia<br>Life Expectancy: 59.448<br>GDP per capita: 752.7497265<br>Population: 1688359.0<br>Year: 2007",
"Country: Ghana<br>Life Expectancy: 60.022<br>GDP per capita: 1327.60891<br>Population: 22873338.0<br>Year: 2007",
"Country: Guinea<br>Life Expectancy: 56.007<br>GDP per capita: 942.6542111<br>Population: 9947814.0<br>Year: 2007",
"Country: Guinea-Bissau<br>Life Expectancy: 46.388<br>GDP per capita: 579.231743<br>Population: 1472041.0<br>Year: 2007",
"Country: Kenya<br>Life Expectancy: 54.11<br>GDP per capita: 1463.249282<br>Population: 35610177.0<br>Year: 2007",
"Country: Lesotho<br>Life Expectancy: 42.592<br>GDP per capita: 1569.331442<br>Population: 2012649.0<br>Year: 2007",
"Country: Liberia<br>Life Expectancy: 45.678<br>GDP per capita: 414.5073415<br>Population: 3193942.0<br>Year: 2007",
"Country: Libya<br>Life Expectancy: 73.952<br>GDP per capita: 12057.49928<br>Population: 6036914.0<br>Year: 2007",
"Country: Madagascar<br>Life Expectancy: 59.443<br>GDP per capita: 1044.770126<br>Population: 19167654.0<br>Year: 2007",
"Country: Malawi<br>Life Expectancy: 48.303<br>GDP per capita: 759.3499101<br>Population: 13327079.0<br>Year: 2007",
"Country: Mali<br>Life Expectancy: 54.467<br>GDP per capita: 1042.581557<br>Population: 12031795.0<br>Year: 2007",
"Country: Mauritania<br>Life Expectancy: 64.164<br>GDP per capita: 1803.151496<br>Population: 3270065.0<br>Year: 2007",
"Country: Mauritius<br>Life Expectancy: 72.801<br>GDP per capita: 10956.99112<br>Population: 1250882.0<br>Year: 2007",
"Country: Morocco<br>Life Expectancy: 71.164<br>GDP per capita: 3820.17523<br>Population: 33757175.0<br>Year: 2007",
"Country: Mozambique<br>Life Expectancy: 42.082<br>GDP per capita: 823.6856205<br>Population: 19951656.0<br>Year: 2007",
"Country: Namibia<br>Life Expectancy: 52.906<br>GDP per capita: 4811.060429<br>Population: 2055080.0<br>Year: 2007",
"Country: Niger<br>Life Expectancy: 56.867<br>GDP per capita: 619.6768924<br>Population: 12894865.0<br>Year: 2007",
"Country: Nigeria<br>Life Expectancy: 46.859<br>GDP per capita: 2013.977305<br>Population: 135031164.0<br>Year: 2007",
"Country: Reunion<br>Life Expectancy: 76.442<br>GDP per capita: 7670.122558<br>Population: 798094.0<br>Year: 2007",
"Country: Rwanda<br>Life Expectancy: 46.242<br>GDP per capita: 863.0884639<br>Population: 8860588.0<br>Year: 2007",
"Country: Sao Tome and Principe<br>Life Expectancy: 65.528<br>GDP per capita: 1598.435089<br>Population: 199579.0<br>Year: 2007",
"Country: Senegal<br>Life Expectancy: 63.062<br>GDP per capita: 1712.472136<br>Population: 12267493.0<br>Year: 2007",
"Country: Sierra Leone<br>Life Expectancy: 42.568<br>GDP per capita: 862.5407561<br>Population: 6144562.0<br>Year: 2007",
"Country: Somalia<br>Life Expectancy: 48.159<br>GDP per capita: 926.1410683<br>Population: 9118773.0<br>Year: 2007",
"Country: South Africa<br>Life Expectancy: 49.339<br>GDP per capita: 9269.657808<br>Population: 43997828.0<br>Year: 2007",
"Country: Sudan<br>Life Expectancy: 58.556<br>GDP per capita: 2602.394995<br>Population: 42292929.0<br>Year: 2007",
"Country: Swaziland<br>Life Expectancy: 39.613<br>GDP per capita: 4513.480643<br>Population: 1133066.0<br>Year: 2007",
"Country: Tanzania<br>Life Expectancy: 52.517<br>GDP per capita: 1107.482182<br>Population: 38139640.0<br>Year: 2007",
"Country: Togo<br>Life Expectancy: 58.42<br>GDP per capita: 882.9699438<br>Population: 5701579.0<br>Year: 2007",
"Country: Tunisia<br>Life Expectancy: 73.923<br>GDP per capita: 7092.923025<br>Population: 10276158.0<br>Year: 2007",
"Country: Uganda<br>Life Expectancy: 51.542<br>GDP per capita: 1056.380121<br>Population: 29170398.0<br>Year: 2007",
"Country: Zambia<br>Life Expectancy: 42.384<br>GDP per capita: 1271.211593<br>Population: 11746035.0<br>Year: 2007",
"Country: Zimbabwe<br>Life Expectancy: 43.487<br>GDP per capita: 469.7092981<br>Population: 12311143.0<br>Year: 2007"
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"Country: Iraq<br>Life Expectancy: 59.545<br>GDP per capita: 4471.061906<br>Population: 27499638.0<br>Year: 2007",
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"Country: Jordan<br>Life Expectancy: 72.535<br>GDP per capita: 4519.461171<br>Population: 6053193.0<br>Year: 2007",
"Country: Korea, Dem. Rep.<br>Life Expectancy: 67.297<br>GDP per capita: 1593.06548<br>Population: 23301725.0<br>Year: 2007",
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"Country: Oman<br>Life Expectancy: 75.64<br>GDP per capita: 22316.19287<br>Population: 3204897.0<br>Year: 2007",
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"Country: Ireland<br>Life Expectancy: 78.885<br>GDP per capita: 40675.99635<br>Population: 4109086.0<br>Year: 2007",
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"Country: Spain<br>Life Expectancy: 80.941<br>GDP per capita: 28821.0637<br>Population: 40448191.0<br>Year: 2007",
"Country: Sweden<br>Life Expectancy: 80.884<br>GDP per capita: 33859.74835<br>Population: 9031088.0<br>Year: 2007",
"Country: Switzerland<br>Life Expectancy: 81.701<br>GDP per capita: 37506.41907<br>Population: 7554661.0<br>Year: 2007",
"Country: Turkey<br>Life Expectancy: 71.777<br>GDP per capita: 8458.276384<br>Population: 71158647.0<br>Year: 2007",
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" .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>country</th>\n",
" <th>year</th>\n",
" <th>pop</th>\n",
" <th>continent</th>\n",
" <th>lifeExp</th>\n",
" <th>gdpPercap</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Afghanistan</td>\n",
" <td>1952</td>\n",
" <td>8425333.0</td>\n",
" <td>Asia</td>\n",
" <td>28.801</td>\n",
" <td>779.445314</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Afghanistan</td>\n",
" <td>1957</td>\n",
" <td>9240934.0</td>\n",
" <td>Asia</td>\n",
" <td>30.332</td>\n",
" <td>820.853030</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Afghanistan</td>\n",
" <td>1962</td>\n",
" <td>10267083.0</td>\n",
" <td>Asia</td>\n",
" <td>31.997</td>\n",
" <td>853.100710</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Afghanistan</td>\n",
" <td>1967</td>\n",
" <td>11537966.0</td>\n",
" <td>Asia</td>\n",
" <td>34.020</td>\n",
" <td>836.197138</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Afghanistan</td>\n",
" <td>1972</td>\n",
" <td>13079460.0</td>\n",
" <td>Asia</td>\n",
" <td>36.088</td>\n",
" <td>739.981106</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" country year pop continent lifeExp gdpPercap\n",
"0 Afghanistan 1952 8425333.0 Asia 28.801 779.445314\n",
"1 Afghanistan 1957 9240934.0 Asia 30.332 820.853030\n",
"2 Afghanistan 1962 10267083.0 Asia 31.997 853.100710\n",
"3 Afghanistan 1967 11537966.0 Asia 34.020 836.197138\n",
"4 Afghanistan 1972 13079460.0 Asia 36.088 739.981106"
]
},
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],
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{
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"execution_count": 11,
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{
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"title": "Gallery of Plotly Plots",
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