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- < h4 id ="New-to-Plotly? "> New to Plotly?< a class ="anchor-link " href ="#New-to-Plotly? "> Â&# 182;</ a > </ h4 > < p > Plotly's Python library is free and open source! < a href ="https://plot.ly/python/getting-started/ "> Get started</ a > by downloading the client and < a href ="https://plot.ly/python/getting-started/ "> reading the primer</ a > .
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+ < h4 id ="New-to-Plotly? "> New to Plotly?< a class ="anchor-link " href ="#New-to-Plotly? "> ¶</ a > </ h4 > < p > Plotly's Python library is free and open source! < a href ="https://plot.ly/python/getting-started/ "> Get started</ a > by downloading the client and < a href ="https://plot.ly/python/getting-started/ "> reading the primer</ a > .
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< br > You can set up Plotly to work in < a href ="https://plot.ly/python/getting-started/#initialization-for-online-plotting "> online</ a > or < a href ="https://plot.ly/python/getting-started/#initialization-for-offline-plotting "> offline</ a > mode, or in < a href ="https://plot.ly/python/getting-started/#start-plotting-online "> jupyter notebooks</ a > .
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< br > We also have a quick-reference < a href ="https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf "> cheatsheet</ a > (new!) to help you get started!</ p >
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- < h4 id ="Version-Check "> Version Check< a class ="anchor-link " href ="#Version-Check "> Â&# 182;</ a > </ h4 > < p > Plotly's python package is updated frequently. Run < code > pip install plotly --upgrade</ code > to use the latest version.</ p >
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+ < h4 id ="Version-Check "> Version Check< a class ="anchor-link " href ="#Version-Check "> ¶</ a > </ h4 > < p > Plotly's python package is updated frequently. Run < code > pip install plotly --upgrade</ code > to use the latest version.</ p >
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- < h4 id ="Plotly's-Figure-Factory-Module "> Plotly's Figure Factory Module< a class ="anchor-link " href ="#Plotly's-Figure-Factory-Module "> Â&# 182;</ a > </ h4 > < p > Plotly's Python API contains a figure factory module which includes many wrapper functions that create unique chart types that are not yet included in < a href ="https://github.com/plotly/plotly.js "> plotly.js</ a > , Plotly's open-source graphing library. The figure factory functions create a full figure, so some Plotly features, such as subplotting, should be implemented slightly differently with these charts.</ p >
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+ < h4 id ="Plotly's-Figure-Factory-Module "> Plotly's Figure Factory Module< a class ="anchor-link " href ="#Plotly's-Figure-Factory-Module "> ¶</ a > </ h4 > < p > Plotly's Python API contains a figure factory module which includes many wrapper functions that create unique chart types that are not yet included in < a href ="https://github.com/plotly/plotly.js "> plotly.js</ a > , Plotly's open-source graphing library. The figure factory functions create a full figure, so some Plotly features, such as subplotting, should be implemented slightly differently with these charts.</ p >
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- < div class =" highlight hl-ipython2 "> < pre > < span > </ span > < span class ="kn "> import</ span > < span class ="nn "> plotly.figure_factory</ span >
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< span class ="n "> help</ span > < span class ="p "> (</ span > < span class ="n "> plotly</ span > < span class ="o "> .</ span > < span class ="n "> figure_factory</ span > < span class ="p "> )</ span >
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- < h4 id ="Vertical-Figure-Factory-Charts "> Vertical Figure Factory Charts< a class ="anchor-link " href ="#Vertical-Figure-Factory-Charts "> Â&# 182;</ a > </ h4 > < p > First create the figures that you'd like to appear in the subplot:</ p >
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+ < h4 id ="Vertical-Figure-Factory-Charts "> Vertical Figure Factory Charts< a class ="anchor-link " href ="#Vertical-Figure-Factory-Charts "> ¶</ a > </ h4 > < p > First create the figures that you'd like to appear in the subplot:</ p >
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< span class ="n "> x1</ span > < span class ="p "> ,</ span > < span class ="n "> y1</ span > < span class ="o "> =</ span > < span class ="n "> np</ span > < span class ="o "> .</ span > < span class ="n "> meshgrid</ span > < span class ="p "> (</ span > < span class ="n "> np</ span > < span class ="o "> .</ span > < span class ="n "> arange</ span > < span class ="p "> (</ span > < span class ="mi "> 0</ span > < span class ="p "> ,</ span > < span class ="mi "> 2</ span > < span class ="p "> ,</ span > < span class ="o "> .</ span > < span class ="mi "> 2</ span > < span class ="p "> ),</ span > < span class ="n "> np</ span > < span class ="o "> .</ span > < span class ="n "> arange</ span > < span class ="p "> (</ span > < span class ="mi "> 0</ span > < span class ="p "> ,</ span > < span class ="mi "> 2</ span > < span class ="p "> ,</ span > < span class ="o "> .</ span > < span class ="mi "> 2</ span > < span class ="p "> ))</ span >
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< span class ="p "> [</ span > < span class ="s1 "> 'Montréal<br>Canadiens'</ span > < span class ="p "> ,</ span > < span class ="mi "> 18</ span > < span class ="p "> ,</ span > < span class ="mi "> 4</ span > < span class ="p "> ,</ span > < span class ="mi "> 0</ span > < span class ="p "> ],</ span >
@@ -372,7 +351,7 @@ <h4 id="Horizontal-Table-and-Chart">Horizontal Table and Chart<a class="anchor-l
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- < h4 id ="Reference "> Reference< a class ="anchor-link " href ="#Reference "> Â&# 182;</ a > </ h4 > < p > See < a href ="https://plot.ly/python/reference/ "> https://plot.ly/python/reference/</ a > for more information regarding chart attributes!</ p >
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+ < h4 id ="Reference "> Reference< a class ="anchor-link " href ="#Reference "> ¶</ a > </ h4 > < p > See < a href ="https://plot.ly/python/reference/ "> https://plot.ly/python/reference/</ a > for more information regarding chart attributes!</ p >
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