\documentclass[10pt,a4paper]{article}

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\usepackage{multicol}           % Allows multicols in tables
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\usepackage{seqsplit}           % Splits long words.
%\usepackage{opensans}          % Can't make this work so far. Shame. Would be lovely.
\usepackage[normalem]{ulem}     % For underlining links
% Most of the following are not required for the majority
% of cheat sheets but are needed for some symbol support.
\usepackage{amsmath}            % Symbols
\usepackage{MnSymbol}           % Symbols
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%\usepackage[english,german,french,spanish,italian]{babel}              % Languages

% Document Info
\author{Anoikis}
\pdfinfo{
  /Title (matplotlib-seaborn-and-plotly.pdf)
  /Creator (Cheatography)
  /Author (Anoikis)
  /Subject (Matplotlib, seaborn and plotly Cheat Sheet)
}

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\fancyhead[L]{
\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{C}
    \SetRowColor{DarkBackground}
    \vspace{-7pt}
    {\parbox{\dimexpr\textwidth-2\fboxsep\relax}{\noindent
        \hspace*{-6pt}\includegraphics[width=5.8cm]{/web/www.cheatography.com/public/images/cheatography_logo.pdf}}
    }
\end{tabulary}
\columnbreak
\begin{tabulary}{11cm}{L}
    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{Matplotlib, seaborn and plotly Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{Anoikis} via \textcolor{DarkBackground}{\uline{cheatography.com/74320/cs/18763/}}}
\end{tabulary}
\end{multicols}}

\fancyfoot[L]{ \footnotesize
\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{LL}
  \SetRowColor{FootBackground}
  \mymulticolumn{2}{p{5.377cm}}{\bf\textcolor{white}{Cheatographer}}  \\
  \vspace{-2pt}Anoikis \\
  \uline{cheatography.com/anoikis} \\
  \end{tabulary}
\vfill
\columnbreak
\begin{tabulary}{5.8cm}{L}
  \SetRowColor{FootBackground}
  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Not Yet Published.\\
   Updated 16th February, 2019.\\
   Page {\thepage} of \pageref{LastPage}.
\end{tabulary}
\vfill
\columnbreak
\begin{tabulary}{5.8cm}{L}
  \SetRowColor{FootBackground}
  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Sponsor}}  \\
  \SetRowColor{white}
  \vspace{-5pt}
  %\includegraphics[width=48px,height=48px]{dave.jpeg}
  Measure your website readability!\\
  www.readability-score.com
\end{tabulary}
\end{multicols}}




\begin{document}
\raggedright
\raggedcolumns

% Set font size to small. Switch to any value
% from this page to resize cheat sheet text:
% www.emerson.emory.edu/services/latex/latex_169.html
\footnotesize % Small font.

\begin{multicols*}{2}

\begin{tabularx}{8.4cm}{x{4 cm} x{4 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{8.4cm}}{\bf\textcolor{white}{Seaborn - 1 feature}}  \tn
% Row 0
\SetRowColor{LightBackground}
`\_, axes = plt.subplots(\{\{nl\}\}nrows=1, ncols=2, figsize=(12, 4))\{\{nl\}\}axis{[}0{]} = sns.xxx` & put a sns plot in a pyplot figure \tn 
% Row Count 5 (+ 5)
% Row 1
\SetRowColor{white}
`sns.distplot(\{\{nl\}\}df{[}'{\emph{feat}}'{]});` & histogram + density of a numeric feature's repartition \tn 
% Row Count 8 (+ 3)
% Row 2
\SetRowColor{LightBackground}
`sns.boxplot(\{\{nl\}\}data=df{[}'{\emph{feat}}'{]});` & simple boxplot \tn 
% Row Count 10 (+ 2)
% Row 3
\SetRowColor{white}
`sns.violinplot(\{\{nl\}\}data=df{[}'{\emph{feat}}'{]});` & simple violin plot \tn 
% Row Count 13 (+ 3)
% Row 4
\SetRowColor{LightBackground}
`sns.countplot(\{\{nl\}\}x='{\emph{feat}}',data=df);` & repartition of a \{\{nl\}\}categorical feature \tn 
% Row Count 16 (+ 3)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{x{4 cm} x{4 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{8.4cm}}{\bf\textcolor{white}{Seaborn - 2 features}}  \tn
% Row 0
\SetRowColor{LightBackground}
\seqsplit{`sns.heatmap(matrix)`} & heatmap \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
`sns.jointplot(\{\{nl\}\}x={\emph{feat1}},\{\{nl\}\}y={\emph{feat2}},\{\{nl\}\}data=df,\{\{nl\}\}kind={[}'scatter', 'kde'{]})` & joint plot \tn 
% Row Count 7 (+ 5)
% Row 2
\SetRowColor{LightBackground}
`sns.pairplot(df{[}{\emph{feats}}{]})` & scatterplots matrix \tn 
% Row Count 9 (+ 2)
% Row 3
\SetRowColor{white}
`sns.boxplot(x={\emph{feat1}}, y={\emph{feat2}}, data=df, ax=ax)` & boxplot for disjoint groups (x categorical) \tn 
% Row Count 12 (+ 3)
% Row 4
\SetRowColor{LightBackground}
`sns.violinplot(x={\emph{feat1}}, y={\emph{feat2}}, data=df, ax=ax)` & violin plot for disjoint groups \tn 
% Row Count 15 (+ 3)
% Row 5
\SetRowColor{white}
`sns.countplot(\{\{nl\}\}x='{\emph{feat1}}', \{\{nl\}\}hue='{\emph{feat2}}', \{\{nl\}\}data=df);` & repartition of a \{\{nl\}\}categorical feature according to another one \tn 
% Row Count 19 (+ 4)
% Row 6
\SetRowColor{LightBackground}
`sns.lmplot(\{\{nl\}\}{\emph{feat1}},\{\{nl\}\}{\emph{feat2}}, \{\{nl\}\}data=df, \{\{nl\}\}hue={\emph{feat3}}, \{\{nl\}\}fit\_reg=False)` & scatterplot with color according to category \tn 
% Row Count 24 (+ 5)
% Row 7
\SetRowColor{white}
`sns.factorplot(\{\{nl\}\}x={\emph{cat1}},\{\{nl\}\}y={\emph{numeric}},\{\{nl\}\}col={\emph{cat2}},\{\{nl\}\}data=df,\{\{nl\}\}kind="box",\{\{nl\}\}col\_wrap=4,\{\{nl\}\}size=, aspect=);` & analyze a quantitative variable in 2 categorical dimensions at once \tn 
% Row Count 31 (+ 7)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Dimensionallity reduction - t-SNE}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{`from sklearn.manifold import TSNE\{\{nl\}\}from sklearn.preprocessing\{\{nl\}\}import StandardScaler\{\{nl\}\}\{\{nl\}\}\# Standardize data\{\{nl\}\}scaler = StandardScaler() \{\{nl\}\}tab\_scaled = scaler.fit\_transform({\emph{tab}})\{\{nl\}\}\{\{nl\}\}\# Run t-SNE\{\{nl\}\}tsne = TSNE(random\_state=17)\{\{nl\}\}tsne\_repr = tsne.fit\_transform(tab\_scaled)\{\{nl\}\}\{\{nl\}\}\# Show results\{\{nl\}\}plt.scatter(tsne\_repr{[}:, 0{]}, tsne\_repr{[}:, 1{]}, c=df{[}{\emph{feat}}{]}.map(\{False: 'green', True: 'red'\}));`} \tn 
% Row Count 9 (+ 9)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{x{4.8 cm} x{3.2 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{8.4cm}}{\bf\textcolor{white}{Plotly}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{8.4cm}}{`from plotly.offline import download\_plotlyjs, init\_notebook\_mode, plot, iplot\{\{nl\}\}import plotly\{\{nl\}\}import plotly.graph\_objs as go`} \tn 
% Row Count 3 (+ 3)
% Row 1
\SetRowColor{white}
`trace0 = go.xxx\{\{nl\}\}data = {[}trace0, trace1, ...{]}\{\{nl\}\}layout = \{'title': {\emph{title}}, ..\}\{\{nl\}\}fig = go.Figure(data=data, layout=layout)\{\{nl\}\}iplot(fig, show\_link=False)` & general syntax \tn 
% Row Count 10 (+ 7)
% Row 2
\SetRowColor{LightBackground}
`trace = go.Scatter(x={\emph{feat1}}, y={\emph{feat2}}, name=)` & line \tn 
% Row Count 13 (+ 3)
% Row 3
\SetRowColor{white}
`trace = go.Bar(x={\emph{feat1}}, y={\emph{feat2}} , name=)` & barchart \tn 
% Row Count 15 (+ 2)
% Row 4
\SetRowColor{LightBackground}
`trace = go.Box(y={\emph{feat}}, name=genre)` & boxplot \tn 
% Row Count 17 (+ 2)
% Row 5
\SetRowColor{white}
`plotly.offline.plot(\{\{nl\}\}fig,\{\{nl\}\}filename='{\emph{file.html}}',\{\{nl\}\}show\_link=False)` & Save figure as an html file \tn 
% Row Count 21 (+ 4)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}


% That's all folks
\end{multicols*}

\end{document}