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cufflinks_chart_gallery.ipynb
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Cufflinks\n", | |
"\n", | |
"This library binds the power of [plotly](http://www.plot.ly) with the flexibility of [pandas](http://pandas.pydata.org/) for easy plotting.\n", | |
"\n", | |
"This library is available on https://github.com/santosjorge/cufflinks\n", | |
"\n", | |
"This tutorial assumes that the plotly user credentials have already been configured as stated on the [getting started](https://plot.ly/python/getting-started/) guide." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"import cufflinks as cf" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"%reload_ext autoreload\n", | |
"%autoreload 2" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"#We set the all charts as public\n", | |
"cf.set_config_file(world_readable=True,theme='pearl')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Line Chart" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/388.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 14, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.lines().iplot(kind='scatter',xTitle='Dates',yTitle='Returns',title='Cufflinks - Line Chart')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 24, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/410.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 24, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.lines(3).iplot(kind='scatter',xTitle='Dates',yTitle='Returns',title='Cufflinks - Filled Line Chart',\n", | |
" colorscale='-blues',fill=True)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 25, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/403.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 25, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.lines(1).iplot(kind='scatter',xTitle='Dates',yTitle='Returns',title='Cufflinks - Besfit Line Chart',\n", | |
" filename='Cufflinks - Bestfit Line Chart',bestfit=True,colors=['blue'],\n", | |
" bestfit_colors=['pink'])" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Scatter Chart" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 26, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/406.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 26, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.lines(2).iplot(kind='scatter',mode='markers',size=10,symbol='x',colorscale='paired',\n", | |
" xTitle='Dates',yTitle='EPS Growth',title='Cufflinks - Scatter Chart')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Spread Chart" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 35, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/407.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 35, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.lines(2).iplot(kind='spread',xTitle='Dates',yTitle='Return',title='Cufflinks - Spread Chart')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Bar Chart" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 36, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/408.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 36, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.lines(5).resample('M').iplot(kind='bar',xTitle='Dates',yTitle='Return',title='Cufflinks - Bar Chart')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 37, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/390.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 37, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.lines(5).resample('M').iplot(kind='bar',xTitle='Dates',yTitle='Return',title='Cufflinks - Grouped Bar Chart',\n", | |
" barmode='stack')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Box Plot" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 38, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/389.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 38, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.box(6).iplot(kind='box',xTitle='Stocks',yTitle='Returns Distribution',title='Cufflinks - Box Plot')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Historgram" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 40, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/391.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 40, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.histogram(2).iplot(kind='histogram',opacity=.75,title='Cufflinks - Histogram')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Heatmap Plot" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 41, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/395.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 41, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.heatmap(20,20).iplot(kind='heatmap',colorscale='spectral',title='Cufflinks - Heatmap')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Bubble Chart" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 42, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/396.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 42, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.bubble(prefix='industry').iplot(kind='bubble',x='x',y='y',size='size',categories='categories',text='text',\n", | |
" xTitle='Returns',yTitle='Analyst Score',title='Cufflinks - Bubble Chart')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Scatter 3D" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 49, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/397.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 49, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.scatter3d(2,150).iplot(kind='scatter3d',x='x',y='y',z='z',size=15,categories='categories',text='text',\n", | |
" title='Cufflinks - Scatter 3D Chart',colors=['blue','pink'],width=0.5,margin=(0,0,0,0),\n", | |
" opacity=1)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Bubble 3D " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 52, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/402.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 52, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.bubble3d(5,4).iplot(kind='bubble3d',x='x',y='y',z='z',size='size',text='text',categories='categories',\n", | |
" title='Cufflinks - Bubble 3D Chart',colorscale='set1',\n", | |
" width=.5,opacity=.9)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Surface" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 53, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jorgesantos/401.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"text/plain": [ | |
"<plotly.tools.PlotlyDisplay object>" | |
] | |
}, | |
"execution_count": 53, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"cf.datagen.sinwave(10,.25).iplot(kind='surface',theme='solar',colorscale='brbg',title='Cufflinks - Surface Plot',\n", | |
" margin=(0,0,0,0))" | |
] | |
} | |
], | |
"metadata": { | |
"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": "2.7.10" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
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