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%\usepackage{opensans}          % Can't make this work so far. Shame. Would be lovely.
\usepackage[normalem]{ulem}     % For underlining links
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\usepackage{amsmath}            % Symbols
\usepackage{MnSymbol}           % Symbols
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%\usepackage[english,german,french,spanish,italian]{babel}              % Languages

% Document Info
\author{DarioPittera (aggialavura)}
\pdfinfo{
  /Title (python-seaborn.pdf)
  /Creator (Cheatography)
  /Author (DarioPittera (aggialavura))
  /Subject (Python - Seaborn 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{Python - Seaborn Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{DarioPittera (aggialavura)} via \textcolor{DarkBackground}{\uline{cheatography.com/83764/cs/19851/}}}
\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}DarioPittera (aggialavura) \\
  \uline{cheatography.com/aggialavura} \\
        \uline{\seqsplit{www}.dariopittera.com}
  \end{tabulary}
\vfill
\columnbreak
\begin{tabulary}{5.8cm}{L}
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Not Yet Published.\\
   Updated 15th June, 2019.\\
   Page {\thepage} of \pageref{LastPage}.
\end{tabulary}
\vfill
\columnbreak
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  \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

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\begin{multicols*}{3}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{TO START}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{import seaborn as sns \newline \# If working on a notebook \newline \%matplotlib inline} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.83689 cm} x{2.14011 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{DISTRIBUTION PLOTS}}  \tn
% Row 0
\SetRowColor{LightBackground}
{\bf{sns.distplot(df{[}'col'{]})}} & distribution plot \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
- bin = x & number of bins \tn 
% Row Count 3 (+ 1)
% Row 2
\SetRowColor{LightBackground}
- kde = False & remove the line \tn 
% Row Count 4 (+ 1)
% Row 3
\SetRowColor{white}
{\bf{sns.jointplot(x,y,df)}} & plot 2 variables \tn 
% Row Count 6 (+ 2)
% Row 4
\SetRowColor{LightBackground}
- kind = '' & kind of plot* \tn 
% Row Count 7 (+ 1)
% Row 5
\SetRowColor{white}
{\bf{sns.pairplot(df)}} & plot all vars combin \tn 
% Row Count 9 (+ 2)
% Row 6
\SetRowColor{LightBackground}
- hue='categ var' & distinguish per var \tn 
% Row Count 11 (+ 2)
% Row 7
\SetRowColor{white}
- palette='' & set a color palette \tn 
% Row Count 13 (+ 2)
% Row 8
\SetRowColor{LightBackground}
{\bf{sns.rugplot(df{[}'col'{]})}} & idea of distribution \tn 
% Row Count 15 (+ 2)
% Row 9
\SetRowColor{white}
{\bf{sns.kdeplot(df{[}'col'{]})}} & kde plot \tn 
% Row Count 17 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{{\bf{"kind="}} E.g.: hex, reg, kde.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{3.23505 cm} x{1.74195 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{CATEGORICAL PLOTS}}  \tn
% Row 0
\SetRowColor{LightBackground}
{\bf{sns.barplot(x,y,df)}} & bar plot \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
- estimator=''* & bar values \tn 
% Row Count 2 (+ 1)
% Row 2
\SetRowColor{LightBackground}
{\bf{sns.countplot(x,df)}} & bars = count \tn 
% Row Count 3 (+ 1)
% Row 3
\SetRowColor{white}
{\bf{sns.boxplot(x,y,,df)}} & box plot \tn 
% Row Count 4 (+ 1)
% Row 4
\SetRowColor{LightBackground}
- hue='categ var' & divide per var \tn 
% Row Count 5 (+ 1)
% Row 5
\SetRowColor{white}
- palette='' & set palette \tn 
% Row Count 6 (+ 1)
% Row 6
\SetRowColor{LightBackground}
- orient='h' & horiz. plot \tn 
% Row Count 7 (+ 1)
% Row 7
\SetRowColor{white}
{\bf{sns.violinplot(x,y,df)}} & violin plot* \tn 
% Row Count 8 (+ 1)
% Row 8
\SetRowColor{LightBackground}
- hue='categ var' & divide per var \tn 
% Row Count 9 (+ 1)
% Row 9
\SetRowColor{white}
- palette='' & set palette \tn 
% Row Count 10 (+ 1)
% Row 10
\SetRowColor{LightBackground}
{\bf{sns.stripplot(x,y,df)}} & bars = scatter \tn 
% Row Count 11 (+ 1)
% Row 11
\SetRowColor{white}
- jitter = True & add noise \tn 
% Row Count 12 (+ 1)
% Row 12
\SetRowColor{LightBackground}
- hue='categ var' & divide per var \tn 
% Row Count 13 (+ 1)
% Row 13
\SetRowColor{white}
- palette='' & set palette \tn 
% Row Count 14 (+ 1)
% Row 14
\SetRowColor{LightBackground}
- split = True & split by hue \tn 
% Row Count 15 (+ 1)
% Row 15
\SetRowColor{white}
{\bf{sns.swarmplot(x,y,df)}} & swarm plot \tn 
% Row Count 16 (+ 1)
% Row 16
\SetRowColor{LightBackground}
- hue='categ var' & divide per var \tn 
% Row Count 17 (+ 1)
% Row 17
\SetRowColor{white}
- palette='' & set palette \tn 
% Row Count 18 (+ 1)
% Row 18
\SetRowColor{LightBackground}
- split = True & split by hue \tn 
% Row Count 19 (+ 1)
% Row 19
\SetRowColor{white}
\mymulticolumn{2}{x{5.377cm}}{** You can alo combine more plots by calling them one after each other.} \tn 
% Row Count 21 (+ 2)
% Row 20
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{{\bf{sns.factorplot(x,y,df,kind)* }}\{\{nobreak\}\}\{\{ac\}\}\{\{nl\}\} general categorical form of graph} \tn 
% Row Count 23 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{{\bf{TIP:}} when you call a plot function, press \{\{nl\}\} {\bf{"shift + tab"}} to show the parameters needed. \newline {\bf{estimator=}} can be, mean, std, or whatever function. It will display the bars or whatever you choose. \newline {\bf{General form, kind=:}} e.g., point, bar, violin, etc.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{ON CATEGORICAL PLOTS...}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{What is a violin plot?}}} \tn 
\mymulticolumn{1}{x{5.377cm}}{\hspace*{6 px}\rule{2px}{6px}\hspace*{6 px}It has a similar role of a box and whisker plots. It shows the distribution of quantitative data across several levels of one (or more) categorical variables. The violin plot features a kernel density estimation of the underlying distribution.} \tn 
% Row Count 7 (+ 7)
% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{5.377cm}}{{\bf{What is a strip plot?}}} \tn 
\mymulticolumn{1}{x{5.377cm}}{\hspace*{6 px}\rule{2px}{6px}\hspace*{6 px}It will draw a scatterplot where one variable is categorical. It is also a good complement to a box or violin plot in cases where you want to show all observations along with some representation of the underlying distribution.} \tn 
% Row Count 13 (+ 6)
% Row 2
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{What is a swarm plot}}} \tn 
\mymulticolumn{1}{x{5.377cm}}{\hspace*{6 px}\rule{2px}{6px}\hspace*{6 px}It is similar to a stripplot(), but the points are adjusted (only along the categorical axis) so that they don't overlap. This gives a better representation of the distribution of values, although it does not scale as well to large numbers of observations.} \tn 
% Row Count 20 (+ 7)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.9862 cm} x{1.9908 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{MATRIX PLOTS}}  \tn
% Row 0
\SetRowColor{LightBackground}
{\bf{sns.heatmap(df.corr())* }} & heat map plot \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
- annot = True & add actual values \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
- cmap='' & set a color palette \tn 
% Row Count 6 (+ 2)
% Row 3
\SetRowColor{white}
- linecolor='' & set borders \tn 
% Row Count 7 (+ 1)
% Row 4
\SetRowColor{LightBackground}
- linewidths=x & set border width \tn 
% Row Count 8 (+ 1)
% Row 5
\SetRowColor{white}
{\bf{sns.clustermap(matrix)}} & hierarc. clustering \tn 
% Row Count 10 (+ 2)
% Row 6
\SetRowColor{LightBackground}
- cmap='' & set a color palette \tn 
% Row Count 12 (+ 2)
% Row 7
\SetRowColor{white}
- standard\_scale = 1 & normalise data \tn 
% Row Count 13 (+ 1)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{{\bf{Heat map plot}} needs a correlation matrix, or more generally, a matrix. You can use the {\bf{pivot\_table(index,columns,values)}} function to convert a dataframe.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.78712 cm} x{2.18988 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{GRIDS}}  \tn
% Row 0
\SetRowColor{LightBackground}
sns.pairplot(df) & plot all vars combination \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
- hue='categ var' & divide per var \tn 
% Row Count 3 (+ 1)
% Row 2
\SetRowColor{LightBackground}
- palette='' & set palette \tn 
% Row Count 4 (+ 1)
% Row 3
\SetRowColor{white}
g = {\bf{sns.PairGrid(df)}} & set (empty) axis of pairplot \tn 
% Row Count 6 (+ 2)
% Row 4
\SetRowColor{LightBackground}
-g.map(plt.scatter) & populate axis with some plot \tn 
% Row Count 8 (+ 2)
% Row 5
\SetRowColor{white}
-g.map\_diag(plt.hist) & set diag plots \tn 
% Row Count 9 (+ 1)
% Row 6
\SetRowColor{LightBackground}
\seqsplit{-g.map\_upper(plt.scatter)} & set upper plots \tn 
% Row Count 11 (+ 2)
% Row 7
\SetRowColor{white}
-g.map\_lower(sns.kdeplot)\{\{nobreak\}\} & set lower plots \tn 
% Row Count 13 (+ 2)
% Row 8
\SetRowColor{LightBackground}
{\bf{g = sns.FacetGrid(df,c,r)}} & empty axis \tn 
% Row Count 15 (+ 2)
% Row 9
\SetRowColor{white}
-g = g.map({\bf{plt}}.hist, "c") & populate axis histograms \tn 
% Row Count 17 (+ 2)
% Row 10
\SetRowColor{LightBackground}
-..g.map(sns.distplot, "c") & populate axis with distplots \tn 
% Row Count 19 (+ 2)
% Row 11
\SetRowColor{white}
\mymulticolumn{2}{x{5.377cm}}{{\bf{now some more complex stuff}}} \tn 
% Row Count 20 (+ 1)
% Row 12
\SetRowColor{LightBackground}
- hue='categ var' & divide per var \tn 
% Row Count 21 (+ 1)
% Row 13
\SetRowColor{white}
\mymulticolumn{2}{x{5.377cm}}{-g = g.map(plt.scatter, "c", "c").add\_legend()} \tn 
% Row Count 22 (+ 1)
% Row 14
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{{\bf{g = sns.JointGrid(x,y,df)}}\{\{ac\}\}\{\{nl\}\} general form of jointplot()} \tn 
% Row Count 24 (+ 2)
% Row 15
\SetRowColor{white}
\mymulticolumn{2}{x{5.377cm}}{{\bf{g = g.plot(sns.regplot, sns.distplot)}}\{\{ac\}\}\{\{nl\}\}join two plots} \tn 
% Row Count 26 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{3.43413 cm} x{1.54287 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{REGRESSION PLOTS}}  \tn
% Row 0
\SetRowColor{LightBackground}
{\bf{sns.lmplot(x,y,df)}} & creat reg plot \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
- hue='categ var' & divide per var \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
- palette='' & set palette \tn 
% Row Count 5 (+ 1)
% Row 3
\SetRowColor{white}
- markers='' * & set mark shape \tn 
% Row Count 7 (+ 2)
% Row 4
\SetRowColor{LightBackground}
- scatter\_kws='dict' * & set marker size \tn 
% Row Count 9 (+ 2)
% Row 5
\SetRowColor{white}
sns.lmplot(x,y,df,{\bf{col}}) & create a grid plot \tn 
% Row Count 11 (+ 2)
% Row 6
\SetRowColor{LightBackground}
sns.lmplot(x,y,df,{\bf{row,col}})\{\{nobreak\}\} & X*X grid \tn 
% Row Count 13 (+ 2)
% Row 7
\SetRowColor{white}
sns.lmplot(x,y,df,{\bf{row,col,hue}})\{\{nobreak\}\} & X*X*X grid \tn 
% Row Count 15 (+ 2)
% Row 8
\SetRowColor{LightBackground}
- aspect = x & choose ratio \tn 
% Row Count 16 (+ 1)
% Row 9
\SetRowColor{white}
- size = x & set size \tn 
% Row Count 17 (+ 1)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{{\bf{markers='':}} e.g., o,v,etc. \newline {\bf{scatter\_kws=''}} e.g.: \{'s':100\}, it is a call to matplotlib. It will be hard to remember how to use these special cases, so no worries, you will have a look online.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{continue... (copy)}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{} \tn 
% Row Count 0 (+ 0)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{3.08574 cm} x{1.89126 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{STYLE and COLOR}}  \tn
% Row 0
\SetRowColor{LightBackground}
\seqsplit{sns.set\_style('darkgrid')} & apply darkgrid style \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
sns.set\_style('ticks') & apply ticks style \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
sns.despine() & remove borders \tn 
% Row Count 5 (+ 1)
% Row 3
\SetRowColor{white}
sns.despine(left=True) & remove left border \tn 
% Row Count 7 (+ 2)
% Row 4
\SetRowColor{LightBackground}
plt.figure(figsize=(x,x)) & choose fig size \tn 
% Row Count 9 (+ 2)
% Row 5
\SetRowColor{white}
\seqsplit{sns.set\_context('talk')} * & set context \tn 
% Row Count 11 (+ 2)
% Row 6
\SetRowColor{LightBackground}
sns.set\_context\{\{nl\}\}(font\_scale) & set font size \tn 
% Row Count 13 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{{\bf{.set\_context(''):}} e.g.: paper, poster, talk, notebook, etc.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}


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

\end{document}