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Site updated at 2017-09-18 21:21:55 UTC
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‎2015/04/09/add-traces.html‎

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# Learn about API authentication here: https://plot.ly/r/getting-started
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# Learn about API authentication here: https://plot.ly/python/getting-started
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# Find your api_key here: https://plot.ly/settings/api
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plotly_POST(plot_ly(x = c(1, 2), y = c(1, 2)), filename="name-of-my-plotly-file", <b>fileopt='append'</b>)
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import plotly.plotly as py
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from plotly.graph_objs import *
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new_trace = Scatter( x=[3, 4], y=[3, 2] )
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data = Data( [ new_trace1 ] )
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plot_url = py.plot(data, filename='append plot', <b>fileopt='append'</b>)

‎2015/04/09/click.html‎

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plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Species)
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# Learn about API authentication here: https://plot.ly/pandas/getting-started
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# Find your api_key here: https://plot.ly/settings/api
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import plotly.plotly as py
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import cufflinks as cf
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import pandas as pd
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cf.set_config_file(offline=False, world_readable=True, theme='ggplot')
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df = pd.read_csv('http://www.stat.ubc.ca/~jenny/notOcto/STAT545A/examples/gapminder/data/gapminderDataFiveYear.txt', sep='\t')
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df2007 = df[df.year==2007]
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df1952 = df[df.year==1952]
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df.head(2)
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df2007.iplot(kind='scatter', mode='markers', x='gdpPercap', y='lifeExp', filename='cufflinks/simple-scatter')

‎2015/04/09/extend.html‎

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# Learn about API authentication here: https://plot.ly/r/getting-started
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# Learn about API authentication here: https://plot.ly/python/getting-started
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# Find your api_key here: https://plot.ly/settings/api
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plotly_POST(plot_ly(x = c(1, 2), y = c(1, 2)), filename="name-of-my-plotly-file", <b>fileopt='extend'</b>)
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import plotly.plotly as py
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from plotly.graph_objs import *
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new_data = Scatter(x=[3, 4], y=[3, 2] )
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data = Data( [ new_data ] )
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plot_url = py.plot(data, filename='extend plot', <b>fileopt='extend'</b>)

‎2015/04/09/hover-bind.html‎

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library(plotly)
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import plotly.plotly as py
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import plotly.graph_objs as go
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xdat <- c("Bob Dylan", "The Beatles", "David Bowie", "Randy Newman", "The Rolling Stones", "Madonna", "Frank Sinatra", "The Beach Boys", "Marvin Gaye", "Prince", "The Kinks", "Elvis Presley", "Tom Waits", "U2", "The Clash", "Johnny Cash", "Kate Bush", "The Supremes", "The Smiths", "Al Green", "Pulp", "Chuck Berry", "Elvis Costello and the Attractions", "Neil Young", "Stevie Wonder", "Ray Charles", "The Pogues", "Grace Jones", "Bill Withers", "The Who", "Paul Simon", "Roy Orbison", "Arctic Monkeys", "Bruce Springsteen", "The Police", "Rod Stewart", "Steve Earle")
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data = [
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go.Bar(
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x=['Bob Dylan', 'The Beatles', 'David Bowie', 'Randy Newman', 'The Rolling Stones', 'Madonna', 'Frank Sinatra', 'The Beach Boys', 'Marvin Gaye', 'Prince', 'The Kinks', 'Elvis Presley', 'Tom Waits', 'U2', 'The Clash', 'Johnny Cash', 'Kate Bush', 'The Supremes', 'The Smiths', 'Al Green', 'Pulp', 'Chuck Berry', 'Elvis Costello and the Attractions', 'Neil Young', 'Stevie Wonder', 'Ray Charles', 'The Pogues', 'Grace Jones', 'Bill Withers', 'The Who', 'Paul Simon', 'Roy Orbison', 'Arctic Monkeys', 'Bruce Springsteen', 'The Police', 'Rod Stewart', 'Steve Earle'],
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y=[24, 19, 9, 8, 8, 6, 6, 6, 6, 6, 6, 6, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4],
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name='Number of songs per artist',
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marker=Marker(
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color='#2ca02c'
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)
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)
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]
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ydat <- c(24, 19, 9, 8, 8, 6, 6, 6, 6, 6, 6, 6, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4)
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p <- plot_ly(x = xdat, y =ydat, name = "Number",
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marker = list(color = "#2ca02c"),
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type = "bar", filename="hover_example")
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p
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layout = go.Layout(
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title="Number of songs listed in the Guardian's&lt;br&gt;&lt;em&gt;Top 1,000 Songs to Hear Before You Die&lt;/em&gt; per artist with 4 or more songs",
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font=dict(
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family='Georgia, serif',
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color='#635F5D'
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),
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plot_bgcolor='#EFECEA'
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)
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fig = go.Figure(data=data, layout=layout)
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plot_url = py.plot(fig)

‎2015/04/09/overwrite.html‎

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# Learn about API authentication here: https://plot.ly/r/getting-started
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# Learn about API authentication here: https://plot.ly/python/getting-started
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# Find your api_key here: https://plot.ly/settings/api
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plotly_POST(plot_ly(x = c(1, 2), y = c(1, 2)), filename='overwrite example')
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import plotly.plotly as py
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from plotly.graph_objs import *
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data = Data([ Scatter(x=[1, 2], y=[3, 4]) ])
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plot_url = py.plot(data, <b>filename='my plot'</b>)

‎2015/04/09/zoom-bind.html‎

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plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Species, colors = "Set1")
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# Cufflinks binds plotly to pandas dataframes in IPython notebook.
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import plotly.plotly as py
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import cufflinks as cf
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import pandas as pd
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cf.set_config_file(offline=False, world_readable=True, theme='pearl')
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df = pd.read_csv('http://www.stat.ubc.ca/~jenny/notOcto/STAT545A/examples/gapminder/data/gapminderDataFiveYear.txt', sep='\t')
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df2007 = df[df.year==2007]
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df.head(2)
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df2007.iplot(kind='bubble', x='gdpPercap', y='lifeExp', size='pop', text='country',
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xTitle='GDP per Capita', yTitle='Life Expectancy',
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filename='cufflinks/simple-bubble-chart')

‎404.html‎

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<!-- Main Stylesheets -->
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<link rel="stylesheet" type="text/css" href="https://images.plot.ly/assets/css/normalize.css">
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<link rel="stylesheet" type="text/css" href="https://plot.ly/gh-pages/documentation/static//css/main.css?version=6dfea547b0">
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<link rel="stylesheet" type="text/css" href="http://localhost:4000/all_static/css/main.css?version=6dfea547b0">
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<!-- LOCAL DEV STYLESHEET -->
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<meta name="twitter:site" content="@plotlygraphs"/>
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<link rel="shortcut icon" href="https://plot.ly/gh-pages/documentation/static//images/plotly-ico.png?v=2" />
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<link rel="shortcut icon" href="http://localhost:4000/all_static/images/plotly-ico.png?v=2" />
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<!-- Image Hover Script -->
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<script src="https://plot.ly/gh-pages/documentation/static//javascripts/imghover.js"></script>
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<script src="http://localhost:4000/all_static/javascripts/imghover.js"></script>
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<!-- code highlighting -->
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<script src="https://plot.ly/gh-pages/documentation/static//javascripts/codehighlight/highlight.pack.js"></script>
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<script src="http://localhost:4000/all_static/javascripts/codehighlight/highlight.pack.js"></script>
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<script src="//cdn.jsdelivr.net/algoliasearch.helper/2.1.0/algoliasearch.helper.min.js"></script>
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<script src="//cdn.jsdelivr.net/hogan.js/3.0.2/hogan.min.js"></script>
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<script src="//cdn.jsdelivr.net/momentjs/2.10.3/moment.min.js"></script>
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<script src="/public/js/algolia.js"></script>
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<script src="http://localhost:4000/all_static/javascripts/algolia/algolia.js"></script>
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</body>
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‎api/index.html‎

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<!-- Main Stylesheets -->
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<link rel="stylesheet" type="text/css" href="https://images.plot.ly/assets/css/normalize.css">
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<link rel="stylesheet" type="text/css" href="https://plot.ly/gh-pages/documentation/static//css/main.css?version=6dfea547b0">
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<link rel="stylesheet" type="text/css" href="http://localhost:4000/all_static/css/main.css?version=6dfea547b0">
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<!-- LOCAL DEV STYLESHEET -->
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<meta name="twitter:site" content="@plotlygraphs"/>
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<link rel="shortcut icon" href="https://plot.ly/gh-pages/documentation/static//images/plotly-ico.png?v=2" />
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<link rel="shortcut icon" href="http://localhost:4000/all_static/images/plotly-ico.png?v=2" />
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<script src="http://localhost:4000/all_static/javascripts/imghover.js"></script>
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<!-- code highlighting -->
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<script src="https://plot.ly/gh-pages/documentation/static//javascripts/codehighlight/highlight.pack.js"></script>
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<script src="http://localhost:4000/all_static/javascripts/codehighlight/highlight.pack.js"></script>
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<!-- Google Analytics -->
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<script src="//cdn.jsdelivr.net/algoliasearch.helper/2.1.0/algoliasearch.helper.min.js"></script>
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<script src="//cdn.jsdelivr.net/hogan.js/3.0.2/hogan.min.js"></script>
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<script src="//cdn.jsdelivr.net/momentjs/2.10.3/moment.min.js"></script>
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<script src="http://localhost:4000/all_static/javascripts/algolia/algolia.js"></script>
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