diff --git a/README.md b/README.md
index a9d07d5..f486944 100644
--- a/README.md
+++ b/README.md
@@ -11,6 +11,10 @@ Beginner handout [(download pdf)](https://matplotlib.org/cheatsheets/handout-beg
 :-----------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------:
 ![](https://matplotlib.org/cheatsheets/handout-beginner.png)                               | ![](https://matplotlib.org/cheatsheets/handout-intermediate.png)                                   | ![](https://matplotlib.org/cheatsheets/handout-tips.png)
 
+# Translations
+This document is translated in the following languages:
+* [Português Brasileiro](README.pt-br.md)
+
 # For contributors to the cheatsheets
 
 ## How to compile
diff --git a/README.pt-br.md b/README.pt-br.md
new file mode 100644
index 0000000..422a7f5
--- /dev/null
+++ b/README.pt-br.md
@@ -0,0 +1,71 @@
+# Folhas de dicas para usuários do Matplotlib
+
+## Observação
+O conteúdo original dessa folha de dicas é do repositório [oficial do
+`matplotlib`](https://github.com/matplotlib/cheatsheets). Essa tradução
+não-oficial visa tornar as dicas mais acessíveis para pessoas que usam a Matplotlib.
+
+Façam bom uso!
+
+## Folhas de dicas
+Cheatsheet [(baixe o pdf)](https://matplotlib.org/cheatsheets/cheatsheets.pdf) | |
+:------------------------------------------------------------------------------:|:----------------------------------------------------------:
+![](https://matplotlib.org/cheatsheets/cheatsheets-1.png)                       | ![](https://matplotlib.org/cheatsheets/cheatsheets-2.png)
+
+## Folhetos
+
+Folheto iniciante [(download pdf)](https://matplotlib.org/cheatsheets/handout-beginner.pdf) | Folheto intermediário [(download pdf)](https://matplotlib.org/cheatsheets/handout-intermediate.pdf) | Folheto de dicas [(download pdf)](https://matplotlib.org/cheatsheets/handout-tips.pdf)
+:-----------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------:
+![](https://matplotlib.org/cheatsheets/handout-beginner.png)                               | ![](https://matplotlib.org/cheatsheets/handout-intermediate.png)                                   | ![](https://matplotlib.org/cheatsheets/handout-tips.png)
+
+# Para contribuidores das dicas
+
+## Como compilar
+
+1. Você precisa criar um repositório `fonts` com:
+
+* `fonts/roboto/*`           : Veja https://fonts.google.com/specimen/Roboto
+                                ou https://github.com/googlefonts/roboto/tree/master/src/hinted
+* `fonts/roboto-slab/*`      : Veja https://fonts.google.com/specimen/Roboto+Slab
+                                ou https://github.com/googlefonts/robotoslab/tree/master/fonts/static
+* `fonts/source-code-pro/*`  : Veja https://fonts.google.com/specimen/Source+Code+Pro
+                                ou https://github.com/adobe-fonts/source-code-pro/tree/release/OTF
+* `fonts/source-sans-pro/*`  : Veja https://fonts.google.com/specimen/Source+Sans+Pro
+                                ou https://github.com/adobe-fonts/source-sans-pro/tree/release/OTF
+* `fonts/source-serif-pro/*` : Veja https://fonts.google.com/specimen/Source+Serif+Pro
+                                ou https://github.com/adobe-fonts/source-serif-pro/tree/release/OTF
+* `fonts/eb-garamond/*`      : Veja https://bitbucket.org/georgd/eb-garamond/src/master
+* `fonts/pacifico/*`         : Veja https://fonts.google.com/download?family=Pacifico
+
+No Linux, com o `make` instalado, as fontes podem ser configuradas com o seguinte comando:
+
+```shell
+make -C fonts
+```
+
+As fontes podem ser descobertas pelo `matplotlib` (por via do `fontconfig`) ao
+criar o arquivo `$HOME/.config/fontconfig/fonts.conf` com o seguinte conteúdo (veja [aqui](https://www.freedesktop.org/software/fontconfig/fontconfig-user.html)):
+
+```xml
+<?xml version="1.0"?>
+<!DOCTYPE fontconfig SYSTEM "fonts.dtd">
+<fontconfig>
+<dir>/path/to/cheatsheets/fonts/</dir>
+...
+</fontconfig>
+```
+
+
+2. Você precisa gerar todas as figuras:
+
+```
+$ cd scripts
+$ for script in *.py; do python $script; done
+$ cd ..
+```
+
+3. Compile a folha
+```
+$ xelatex cheatsheets.tex
+$ xelatex cheatsheets.tex
+```
diff --git a/cheatsheets.pt-br.tex b/cheatsheets.pt-br.tex
new file mode 100644
index 0000000..6d72649
--- /dev/null
+++ b/cheatsheets.pt-br.tex
@@ -0,0 +1,1043 @@
+% -----------------------------------------------------------------------------
+% Matplotlib cheat sheet - Released under the BSD License
+% -----------------------------------------------------------------------------
+\documentclass[10pt,landscape,a4paper]{article}
+\usepackage[utf8]{inputenc}
+\usepackage[T1]{fontenc}
+
+% --- Page layout -------------------------------------------------------------
+\usepackage[right=2.5mm, left=2.5mm, top=2.5mm, bottom=2.5mm]{geometry}
+
+% --- English stuff -----------------------------------------------------------
+\usepackage[english]{babel}
+\usepackage{xspace}
+\usepackage{csquotes}
+
+% --- Graphics ----------------------------------------------------------------
+\usepackage{tikz}
+\usepackage{graphicx}
+\usepackage[percent]{overpic}
+\graphicspath{{./figures/}{./icons/}{./logos/}}
+\usepackage[export]{adjustbox}
+
+% --- Framed boxes ------------------------------------------------------------
+\usepackage[framemethod=TikZ]{mdframed}
+\mdfsetup{skipabove=0pt,skipbelow=0pt}
+\usepackage{menukeys}
+
+% --- URL, href and colors ----------------------------------------------------
+\usepackage{xcolor}
+\colorlet{citecolor}{black}
+\colorlet{linkcolor}{black}
+\colorlet{urlcolor}{black}
+\usepackage[
+  bookmarks=true,
+  breaklinks=true,
+  pdfborder={0 0 0},
+  citecolor=citecolor,
+  linkcolor=linkcolor,
+  urlcolor=urlcolor,
+  colorlinks=true,
+  linktocpage=false,
+  hyperindex=true,
+  colorlinks=true,
+  linktocpage=false,
+  linkbordercolor=white]{hyperref}
+
+% --- Tests -------------------------------------------------------------------
+\usepackage{etoolbox}
+
+% --- Fonts -------------------------------------------------------------------
+\usepackage{fontspec}
+\usepackage[fixed]{fontawesome5}
+\usepackage[babel=true]{microtype}
+\defaultfontfeatures{Ligatures=TeX}
+\setmainfont{Source Serif Pro}[
+  Path           = fonts/source-serif-pro/SourceSerifPro-,
+  Extension      = .otf,
+  UprightFont    = Light,
+  ItalicFont     = LightIt,
+  BoldFont       = Regular,
+  BoldItalicFont = It ]
+\setsansfont{Roboto}[
+  Path        = fonts/roboto/Roboto-,
+  Extension   = .ttf,
+  UprightFont = Light,
+  ItalicFont  = LightItalic,
+  BoldFont    = Regular ]
+\setmonofont{Source Code Pro}[
+  Path        = fonts/source-code-pro/SourceCodePro-,
+  Extension   = .otf,
+  UprightFont = Light,
+  BoldFont    = Regular ]
+\newfontfamily\RobotoCon{Roboto Condensed}[
+  Path        = fonts/roboto/RobotoCondensed-,
+  Extension   = .ttf,
+  UprightFont = Regular,
+  ItalicFont  = Italic,
+  BoldFont    = Bold ]
+\newfontfamily\RobotoSlab{Roboto Slab}[
+  Path        = fonts/roboto-slab/RobotoSlab-,
+  Extension   = .ttf,
+  UprightFont = Light,
+  BoldFont    = Regular ]
+\newfontfamily\Roboto{Roboto}[
+  Path        = fonts/roboto/Roboto-,
+  Extension   = .ttf,
+  UprightFont = Regular,
+  ItalicFont  = Italic,
+  BoldFont    = Black ]
+
+% --- Arrays ------------------------------------------------------------------
+\usepackage{multicol}
+\usepackage{colortbl}
+\usepackage{array, multirow}
+
+% --- Maths -------------------------------------------------------------------
+\usepackage{amsmath}
+
+
+% --- PDF comments ------------------------------------------------------------
+\usepackage{pdfcomment}
+
+% --- Default options ---------------------------------------------------------
+\setlength\parindent{0pt}
+\setlength{\tabcolsep}{2pt}
+\baselineskip=0pt
+\setlength\columnsep{1.75mm}
+
+
+% --- Macros ------------------------------------------------------------------
+\newcommand{\button}[1]{\tikz[baseline=(X.base)]
+  \node [fill=orange!40, rectangle, inner sep=2pt,rounded corners=1pt] (X) {#1};}
+
+\newcommand{\API}[1]{\tikz[baseline=(X.base)]
+  \node [fill=black!40, rectangle, inner sep=2pt,rounded corners=1pt] (X)
+        {\href{#1}{\color{white}{\tiny \sffamily \textbf{API}}}};}
+
+\newcommand{\READ}[1]{\tikz[baseline=(X.base)]
+  \node [fill=black!40, rectangle, inner sep=2pt,rounded corners=1pt] (X)
+        {\href{#1}{\color{white}{\tiny \sffamily \textbf{READ}}}};}
+
+\newcommand{\api}[1]{\tikz[baseline=(X.base)]
+  \node [fill=orange!40, rectangle, inner sep=2pt,rounded corners=1pt] (X)
+        {\href{#1}{\color{white}{\tiny \sffamily \textbf{API}}}};}
+
+
+\newcommand{\plot}[5]{%
+  \begin{tabular}{@{}p{0.18\columnwidth}p{0.795\columnwidth}@{}}
+    \adjustimage{width=0.18\columnwidth,valign=t}{#1} &
+    {\ttfamily \scriptsize #2} \hfill \api{#3} \newline
+    {\scriptsize #4}  \newline
+    {\scriptsize #5 } \vspace{.7em}\\
+  \end{tabular}}
+
+\newcommand{\scale}[3]{%
+  \begin{tabular}{@{}p{0.18\columnwidth}p{0.288\columnwidth}@{}}
+    \adjustimage{width=0.18\columnwidth,valign=t}{#1} & {\ttfamily #2} \newline
+    {\scriptsize #3}
+  \end{tabular}}
+
+\newcommand{\colormap}[1]{%
+  \adjustimage{width=0.7\columnwidth,valign=c}{colormap-#1.pdf} &
+  \tiny \ttfamily #1\\ \arrayrulecolor{white}\hline
+}
+
+\newcommand{\palette}[2]{%
+  \adjustimage{width=0.7\columnwidth,valign=c}{colors-#1.pdf} &
+  \tiny \ttfamily #2\\ \arrayrulecolor{white}\hline
+}
+
+
+\newcommand{\optional}[1]{\textcolor{gray}{#1}}
+\newcommand{\mandatory}[1]{\textbf{#1}}
+\newcommand{\parameter}[2]{%
+  \expandafter\ifstrequal\expandafter{#1}{optional}%
+                                     {\optional{#2}}{\mandatory{#2}}}
+% --- Parameter: interpolation
+
+\newcommand{\paramx}[1]{%
+  \pdftooltip{\parameter{#1}{X}}
+  {Coordenadas horizontais de um ponto. Um escalar ou array 1D. }
+}
+
+\newcommand{\paramy}[1]{%
+  \pdftooltip{\parameter{#1}{Y}}%
+  {Coordenadas verticais de um ponto. Um escalar ou array 1D. }
+}
+
+\newcommand{\paramfmt}[1]{%
+  \pdftooltip{\parameter{#1}{fmt}}%
+  {Uma format string, ex. 'ro' para círculos vermelhos. Format strings são
+  apenas abreviações para definir propriedades básicas da linha. Tudo isso e
+  mais também pode ser controlado por argumentos nomeados.}
+}
+
+\newcommand{\paramcolor}[1]{%
+  \pdftooltip{\parameter{#1}{color}}%
+  {Define a cor da linha.}
+}
+
+\newcommand{\parammarker}[1]{%
+  \pdftooltip{\parameter{#1}{marker}}%
+  {Define estilo do marcador.}
+}
+
+\newcommand{\paramlinestyle}[1]{%
+  \pdftooltip{\parameter{#1}{linestyle}}%
+  {Define estilo da linha.}
+}
+
+
+  \newcommand{\interpolation}[1]{%
+  \pdftooltip{\parameter{#1}{interpolation}}
+  {None, 'none', 'nearest', 'bilinear', 'bicubic', 'spline16', 'spline36',
+   'hanning', 'hamming', 'hermite', 'kaiser', 'quadric', 'catrom', 'gaussian',
+   'bessel', 'mitchell', 'sinc', 'lanczos'}
+}
+
+% --- Parameter: extent
+\newcommand{\extent}{\pdftooltip{extent}{[left, right, bottom, top]}}
+
+% --- Parameter: origin
+\newcommand{\origin}{\pdftooltip{origin}{'upper', 'lower'}}
+
+% --- Parameter: z
+\newcommand{\Z}{\pdftooltip{z}{(M,N): uma imagem com dados escalares. Os valores
+		são mapeados para cores usando normalização e um mapa de cores.\textCR
+(M, N, 3): uma imagem com valores RGB (0-1 float ou 0-255 int)\textCR
+(M, N, 4): uma imagem com valores RGBA (0-1 float ou 0-255 int)}}
+
+% --- Parameter: cmap
+\newcommand{\cmap}{\pdftooltip{cmap}{
+    Uniform: 'viridis', 'plasma', 'inferno', 'magma', 'cividis'\textCR
+    \textCR
+    Sequential: 'Greys', 'Purples', 'Blues', 'Greens', 'Oranges', 'Reds',
+                'YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', 'BuPu',
+                'GnBu', 'PuBu', 'YlGnBu', 'PuBuGn', 'BuGn', 'YlGn'\textCR
+    \textCR
+    Diverging: 'PiYG', 'PRGn', 'BrBG', 'PuOr', 'RdGy', 'RdBu',
+               'RdYlBu', 'RdYlGn', 'Spectral', 'coolwarm', 'bwr',
+               'seismic'\textCR
+    \textCR
+    Cyclic: 'twilight', 'twilight_shifted', 'hsv'\textCR
+    \textCR
+    Qualitative: 'Pastel1', 'Pastel2', 'Paired', 'Accent',
+                 'Dark2', 'Set1', 'Set2', 'Set3', 'tab10',
+                 'tab20', 'tab20b', 'tab20c'}}
+
+
+\newenvironment{myboxed}[1]
+{\begin{mdframed}[linecolor=black,
+                  backgroundcolor=white,
+                  outerlinewidth=0.25pt,
+                  %roundcorner=0.25em,
+                  innertopmargin=1ex,
+                  topline=true,
+                  rightline=true,
+                  leftline=true,
+                  bottomline=true,
+                  linecolor=black!0,
+                  frametitleaboveskip=0.5em,
+                  frametitlebelowskip=0.5em,
+                  innerbottommargin=.5\baselineskip,
+                  innerrightmargin=.5em,
+                  innerleftmargin=.5em,
+                  %userdefinedwidth=1\textwidth,
+                  % frametitle={\scshape \bfseries \sffamily #1},
+                  frametitle={\footnotesize \RobotoSlab \bfseries \hspace*{0mm} #1},
+                  % frametitlerule=true,
+                  %frametitlerulecolor=red,
+                  frametitlebackgroundcolor=black!5,
+                  frametitlerulewidth=2pt]}
+{\end{mdframed}}
+
+
+
+
+
+% -----------------------------------------------------------------------------
+\begin{document}
+\thispagestyle{empty}
+% \footnotesize
+\scriptsize
+
+\begin{multicols*}{5}
+  \begin{overpic}[width=\columnwidth,tics=6,trim=12 6 18 6, clip]{logo2.png}
+    \put (16.5,1.5) {\scriptsize\RobotoCon \textcolor[HTML]{11557c}{Cheat sheet}}
+    \put (80,1.5) {\tiny\Roboto \textcolor[HTML]{11557c}{Version 3.5.0}}
+   \end{overpic}
+  %\textbf{\Large \RobotoCon Matplotlib 3.2 cheat sheet}\\
+  %{\ttfamily https://matplotlib.org} \hfill CC-BY 4.0
+  % \bigskip
+  \vspace{\fill}
+  %\hspace{1mm} \small \url{https://matplotlib.org/}
+  %\vspace{\fill}
+
+  % --- Quick start -----------------------------------------------------------
+  \begin{myboxed}{Início rápido \hfill
+      \API{https://matplotlib.org/tutorials/introductory/pyplot.html}}
+  {\ttfamily \scriptsize
+  import numpy as np\\
+  import matplotlib as mpl\\
+  import matplotlib.pyplot as plt\\
+  \\
+  \\
+  X = np.linspace(0, 2*np.pi, 100)\\
+  Y = np.cos(X)\\
+  \\
+  fig, ax = plt.subplots()\\
+  ax.plot(X, Y, color='green')\\
+  \\
+  fig.savefig(``figure.pdf'')\\
+  fig.show() }
+  \end{myboxed}
+  \vspace{\fill}
+
+  % --- Figure anatomy --------------------------------------------------------
+  \begin{myboxed}{Anatomia de uma figure}
+  \includegraphics[width=\columnwidth]{anatomy.pdf}
+  \end{myboxed}
+  \vspace{\fill}
+  % --- Layout ---------------------------------------------------------------
+  \begin{myboxed}{Layout de subplots \hfill
+      \API{https://matplotlib.org/tutorials/intermediate/gridspec.html} }
+  \plot{layout-subplot.pdf}{\textbf{subplot[s]}(rows,cols,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html}
+       {\ttfamily fig, axs = plt.subplots(3, 3)}
+       {}
+  \plot{layout-gridspec.pdf}{G = \textbf{gridspec}(rows,cols,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.gridspec.GridSpec.html}
+       {\ttfamily ax = G[0,:]}{}
+  \plot{layout-inset.pdf}{ax.\textbf{inset\_axes}(extent)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.inset_axes.html}
+       {}{}
+  \plot{layout-divider.pdf}{d=\textbf{make\_axes\_locatable}(ax)}
+       {https://matplotlib.org/mpl_toolkits/axes_grid/users/axes_divider.html}
+       {\ttfamily ax = d.new\_horizontal('10\%')}{}
+  \end{myboxed}
+  \vspace{\fill}
+
+  % --- Getting help ----------------------------------------------------------
+  \begin{myboxed}{Conseguindo ajuda}
+    \href{https://matplotlib.org}
+         {\faIcon{globe}\,matplotlib.org}\\
+    \href{https://github.com/matplotlib/matplotlib/issues}
+         {\faIcon{github}\,github.com/matplotlib/matplotlib/issues}\\
+    \href{https://discourse.matplotlib.org}
+         {\faIcon{discourse}\,discourse.matplotlib.org}\\
+    \href{https://stackoverflow.com/questions/tagged/matplotlib}
+         {\faIcon{stack-overflow}\,stackoverflow.com/questions/tagged/matplotlib}\\
+    \href{https://gitter.im/matplotlib/matplotlib}
+         {\faIcon{gitter}\,{https://gitter.im/matplotlib/matplotlib}}\\
+    \href{https://twitter.com/matplotlib}
+         {\faIcon{twitter}\,twitter.com/matplotlib}\\
+    \href{https://mail.python.org/mailman/listinfo/matplotlib-users}
+         {\faIcon[regular]{envelope}\,Matplotlib users mailing list}
+  \end{myboxed}
+
+
+  % --- Basic plots -----------------------------------------------------------
+  \begin{myboxed}{Plots básicos}
+  \plot{basic-plot.pdf}{\textbf{plot}([X],Y,[fmt],…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html}
+       {\optional{X},
+        \mandatory{Y},
+        \optional{fmt},
+        \optional{color},
+        \optional{marker},
+        \optional{linestyle}}
+       {}
+  \plot{basic-scatter.pdf}{\textbf{scatter}(X,Y,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html}
+       {\mandatory{X},
+        \mandatory{Y},
+        \optional{[s]izes},
+        \optional{[c]olors},
+        \optional{marker},
+        \optional{cmap}}
+       {}
+  \plot{basic-bar.pdf}{\textbf{bar[h]}(x,height,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.bar.html}
+       { \mandatory{x},
+         \mandatory{height},
+         \optional{width},
+         \optional{bottom},
+         \optional{align},
+         \optional{color} }{}
+  \plot{basic-imshow.pdf}{\textbf{imshow}(Z,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html}
+       { \mandatory{Z},
+         \optional{cmap},
+         \optional{interpolation},
+         \optional{extent},
+         \optional{origin} }
+       {}
+  \plot{basic-contour.pdf}{\textbf{contour[f]}([X],[Y],Z,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.contour.html}
+       { \optional{X},
+         \optional{Y},
+         \mandatory{Z},
+         \optional{levels},
+         \optional{colors},
+         \optional{extent},
+         \optional{origin} }
+       {}
+  \plot{basic-pcolormesh.pdf}{\textbf{pcolormesh}([X],[Y],Z,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.pcolormesh.html}
+       { \optional{X},
+         \optional{Y},
+         \mandatory{Z},
+         \optional{vmin},
+         \optional{vmax},
+         \optional{cmap}}
+       {}
+  \plot{basic-quiver.pdf}{\textbf{quiver}([X],[Y],U,V,…)}
+     {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.quiver.html}
+     { \optional{X},
+       \optional{Y},
+       \mandatory{U},
+       \mandatory{V},
+       \optional{C},
+       \optional{units},
+       \optional{angles} }
+     {}
+  \plot{basic-pie.pdf}{\textbf{pie}(X,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.pie.html}
+       {\mandatory{Z},
+         \optional{explode},
+         \optional{labels},
+         \optional{colors},
+         \optional{radius}}
+       {}
+   \plot{basic-text.pdf}{\textbf{text}(x,y,text,…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.text.html}
+       {\mandatory{x},
+        \mandatory{y},
+        \mandatory{text},
+        \optional{va},
+        \optional{ha},
+        \optional{size},
+        \optional{weight},
+        \optional{transform} }
+       {}
+   \plot{basic-fill.pdf}{\textbf{fill[\_between][x]}(…)}
+       {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.fill.html}
+       {\mandatory{X},
+        \optional{Y1},
+        \optional{Y2},
+        \optional{color},
+        \optional{where} }
+       {}
+  \end{myboxed}
+  \vspace{\fill}
+  % --- Advanced plots --------------------------------------------------------
+  \begin{myboxed}{Plots avançados}
+  \plot{advanced-step.pdf}{\textbf{step}(X,Y,[fmt],…)}
+     {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.step.html}
+     {\mandatory{X},
+      \mandatory{Y},
+      \optional{fmt},
+      \optional{color},
+      \optional{marker},
+      \optional{where} }
+     {}
+  \plot{advanced-boxplot.pdf}{\textbf{boxplot}(X,…)}
+     {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.boxplot.html}
+     { \mandatory{X},
+       \optional{notch},
+       \optional{sym},
+       \optional{bootstrap},
+       \optional{widths} }
+     {}
+  \plot{advanced-errorbar.pdf}{\textbf{errorbar}(X,Y,xerr,yerr,…)}
+     {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.errorbar.html}
+     { \mandatory{X},
+       \mandatory{Y},
+       \optional{xerr},
+       \optional{yerr},
+       \optional{fmt} }
+     {}
+  \plot{advanced-hist.pdf}{\textbf{hist}(X, bins, …)}
+     {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.hist.html}
+     {\mandatory{X},
+      \optional{bins},
+      \optional{range},
+      \optional{density},
+      \optional{weights}}
+     {}
+  \plot{advanced-violin.pdf}{\textbf{violinplot}(D,…)}
+     {https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.violinplot.html}
+     {\mandatory{D},
+      \optional{positions},
+      \optional{widths},
+      \optional{vert} }
+     {}
+  \plot{advanced-barbs.pdf}{\textbf{barbs}([X],[Y], U, V, …)}
+     {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.barbs.html}
+     { \optional{X},
+       \optional{Y},
+       \mandatory{U},
+       \mandatory{V},
+       \optional{C},
+       \optional{length},
+       \optional{pivot},
+       \optional{sizes} }
+     {}
+  \plot{advanced-event.pdf}{\textbf{eventplot}(positions,…)}
+     {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.eventplot.html}
+     {\mandatory{positions},
+       \optional{orientation},
+       \optional{lineoffsets} }
+     {}
+  \plot{advanced-hexbin.pdf}{\textbf{hexbin}(X,Y,C,…)}
+     {https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.hexbin.html}
+     {\mandatory{X},
+      \mandatory{Y},
+      \optional{C},
+      \optional{gridsize},
+       \optional{bins} }
+     {}
+  \end{myboxed}
+
+
+  % --- Scale ---------------------------------------------------------------
+  \begin{myboxed}{Escalas \hfill
+    \API{https://matplotlib.org/stable/api/scale_api.html}}
+  {\ttfamily ax.\textbf{set\_[xy]scale}(scale,…)}
+  \smallskip
+  \scale{scale-linear.pdf}{\textbf{linear}}{any values}
+  \scale{scale-log.pdf}{\textbf{log}}{values > 0}
+  \scale{scale-symlog.pdf}{\textbf{symlog}}{any values}
+  \scale{scale-logit.pdf}{\textbf{logit}}{0 < values <  1}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  % --- Projections -----------------------------------------------------------
+  \begin{myboxed}{Projeções \hfill
+      \API{https://matplotlib.org/stable/api/projections_api.html}}
+  {\ttfamily \textbf{subplot}(…,projection=p)}
+  \smallskip
+  \scale{projection-polar.pdf}{p='polar'}{}
+  \scale{projection-3d.pdf}
+      {p='3d'\hfill\api{https://matplotlib.org/stable/api/toolkits/mplot3d.html}}{}
+  \plot{projection-cartopy.pdf}{p=ccrs.Orthographic()}
+       {https://scitools.org.uk/cartopy/docs/latest/reference/projections.html}
+       {import cartopy.crs as ccrs}
+       {}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  % --- Linestyles ---------------------------------------------------------------
+  \begin{myboxed}{Linhas \hfill
+      \API{https://matplotlib.org/gallery/lines_bars_and_markers/linestyles.html}}
+  \includegraphics[width=\columnwidth]{linestyles.pdf}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  % --- Markers ---------------------------------------------------------------
+  \begin{myboxed}{Markers \hfill
+                \API{https://matplotlib.org/stable/api/markers_api.html}}
+      \includegraphics[width=\columnwidth]{markers.pdf}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  % --- Colors ---------------------------------------------------------------
+  \begin{myboxed}{Cores \hfill
+      \API{https://matplotlib.org/tutorials/colors/colors.html}}
+    %  mpl.colors.to\_rbga(\textbf{color})\smallskip\\
+    \def\arraystretch{0.5}
+    \begin{tabular}{@{}p{0.7\columnwidth}p{0.25\columnwidth}@{}}
+      \palette{cycle}{'Cn'}
+      \palette{raw}{ 'x' }
+      \palette{name}{'name'}
+      \palette{rgba}{(R,G,B[,A])}
+      \palette{HexRGBA}{'\#RRGGBB[AA]'}
+      \palette{grey}{'x.y'}
+    \end{tabular}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+
+
+  % --- Colormaps -------------------------------------------------------------
+  \begin{myboxed}{Mapas de cores \hfill
+      \API{https://matplotlib.org/tutorials/colors/colormaps.html}}
+    {\ttfamily plt.\textbf{get\_cmap}(name) \smallskip\\}
+    \def\arraystretch{0.5}
+    \begin{tabular}{@{}p{0.7\columnwidth}p{0.25\columnwidth}@{}}
+      \scriptsize \rule{0pt}{1.25em}Uniform & \\
+      \colormap{viridis} \colormap{magma} \colormap{plasma}
+      %
+      \scriptsize \rule{0pt}{1.25em}Sequential &\\
+      \colormap{Greys} \colormap{YlOrBr} \colormap{Wistia}
+      %
+      \scriptsize \rule{0pt}{1.25em}Diverging &\\
+      \colormap{Spectral} \colormap{coolwarm} \colormap{RdGy}
+      %
+      \scriptsize \rule{0pt}{1.25em}Qualitative &\\
+      \colormap{tab10} \colormap{tab20}
+      %
+      \scriptsize \rule{0pt}{1.25em}Cyclic &\\
+      \colormap{twilight} % \colormap{hsv}
+    \end{tabular}
+  \end{myboxed}
+
+  % --- Ticks locators --------------------------------------------------------
+  \begin{myboxed}{Localizações de ticks\hfill
+    \API{https://matplotlib.org/stable/api/ticker_api.html}}
+    {\tiny \ttfamily
+      from matplotlib import ticker\\
+      ax.[xy]axis.set\_[minor|major]\_locator(\textbf{locator})\par
+      \vspace{1em}
+      \hspace{-1em}\includegraphics[width=\columnwidth]{tick-locators.pdf}
+      }
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Formatadores de ticks\hfill
+    \API{https://matplotlib.org/stable/api/ticker_api.html}}
+    {\tiny \ttfamily
+      from matplotlib import ticker\\
+      ax.[xy]axis.set\_[minor|major]\_formatter(\textbf{formatter})\par
+      \vspace{1em}
+      \hspace{-1em}\includegraphics[width=\columnwidth]{tick-formatters.pdf}
+    }
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Ornamentos}
+    {\ttfamily ax.\textbf{legend}(…) \hfill
+    \api{https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.legend.html}}\\
+     handles, labels, loc, title, frameon\smallskip\\
+    \includegraphics[width=0.9\columnwidth]{legend.pdf}
+    \medskip\\
+    %
+    {\ttfamily ax.\textbf{colorbar}(…)} \hfill
+    \api{https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html}\\
+    mappable, ax, cax, orientation \smallskip\\
+    \includegraphics[width=\columnwidth]{colorbar.pdf}\\
+    \medskip\\
+    %
+    {\ttfamily ax.\textbf{annotate}(…)} \hfill
+    \api{https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.annotate.html}\\
+    \mandatory{text},
+    \mandatory{xy},
+    \mandatory{xytext},
+    \optional{xycoords},
+    \optional{textcoords},
+    \optional{arrowprops}
+    \smallskip\\
+    \includegraphics[width=\columnwidth]{annotate.pdf}\\
+    %
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Event handling \hfill
+      \API{https://matplotlib.org/users/event_handling.html}}
+    {\ttfamily \scriptsize
+      fig, ax = plt.subplots()\par
+      \par
+      def on\_click(event):\par
+      ~~print(event)\par
+      fig.canvas.mpl\_connect(\par
+      ~~'button\_press\_event', on\_click)\par
+    }
+  \end{myboxed}
+
+  %
+  % \vspace{\fill}
+  %
+  \begin{myboxed}{Animação \hfill
+      \API{https://matplotlib.org/stable/api/animation_api.html}}
+  {\ttfamily \scriptsize
+  import matplotlib.animation as mpla\par
+  ~\par
+  T = np.linspace(0, 2*np.pi, 100)\par
+  S = np.sin(T)\par
+  line, = plt.plot(T, S)\par
+  def animate(i):\par
+  ~~~~line.set\_ydata(np.sin(T+i/50))\par
+  anim = mpla.FuncAnimation(\par
+  ~~~~plt.gcf(), animate, interval=5)\par
+  plt.show()\par
+  }
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Estilos \hfill
+      \API{https://matplotlib.org/tutorials/introductory/customizing.html}}
+    \setlength{\fboxsep}{0pt}%
+    \setlength{\fboxrule}{.25pt}%
+              {\ttfamily plt.style.use(\textbf{style})\medskip}\\
+    \fbox{\includegraphics[width=.32\columnwidth]{style-default.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-classic.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-grayscale.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-ggplot.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-seaborn-v0_8.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-fast.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-bmh.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-Solarize_Light2.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-seaborn-v0_8-notebook.pdf}}
+    %% \fbox{\includegraphics[width=.24\columnwidth]{style-default.pdf}}
+    %% \fbox{\includegraphics[width=.24\columnwidth]{style-classic.pdf}}
+    %% \fbox{\includegraphics[width=.24\columnwidth]{style-grayscale.pdf}}
+    %% \fbox{\includegraphics[width=.24\columnwidth]{style-ggplot.pdf}}
+    %% \fbox{\includegraphics[width=.24\columnwidth]{style-seaborn.pdf}}
+    %% \fbox{\includegraphics[width=.24\columnwidth]{style-fast.pdf}}
+    %% \fbox{\includegraphics[width=.24\columnwidth]{style-bmh.pdf}}
+    %% \fbox{\includegraphics[width=.24\columnwidth]{style-Solarize_Light2.pdf}}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Lembrete rápido}
+  {\ttfamily
+    ax.\textbf{grid}()\\
+    ax.\textbf{set\_[xy]lim}(vmin, vmax)\\
+    ax.\textbf{set\_[xy]label}(label)\\
+    ax.\textbf{set\_[xy]ticks}(ticks, [labels])\\
+    ax.\textbf{set\_[xy]ticklabels}(labels)\\
+    ax.\textbf{set\_title}(title)\\
+    ax.\textbf{tick\_params}(width=10, …)\\
+    ax.\textbf{set\_axis\_[on|off]}()\\
+    \\
+    fig.\textbf{suptitle}(title)\\
+    fig.\textbf{tight\_layout}()\\
+    plt.\textbf{gcf}(), plt.\textbf{gca}()\\
+    mpl.\textbf{rc}('axes', linewidth=1, …)\\
+    {[fig|ax]}.patch.\textbf{set\_alpha}(0)\\
+    \verb|text=r'$\frac{-e^{i\pi}}{2^n}$'|}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  %% % --- Toolkits --------------------------------------------------------------
+  %% \begin{myboxed}{Toolkits and libraries}
+  %%   \href{https://matplotlib.org/basemap/}{Basemap} ---
+  %% \href{https://scitools.org.uk/cartopy/docs/latest/}{Cartopy} ---
+  %% \href{https://geopandas.org/}{GeoPandas} ---
+  %% \href{https://residentmario.github.io/geoplot/index.html}{Geoplot} ---
+  %% \href{https://github.com/yhat/ggpy}{GGPlot} ---
+  %% \href{http://holoviews.org/}{Holoviews} ---
+  %% \href{https://seaborn.pydata.org/}{Seaborn} ---
+  %% \href{https://gr-framework.org/}{GR Framework} ---
+  %% \href{https://www.scikit-yb.org/en/latest/}{Yellowbrick}
+  %% \end{myboxed}
+  %% %
+  %% \vspace{\fill}
+  %
+  \begin{myboxed}{Atalhos de teclado\hfill
+    \API{https://matplotlib.org/users/navigation_toolbar.html}}
+    \def\arraystretch{1.25}
+    \begin{tabular}{ll}
+      \keys{\ctrl+s} Save        & \keys{\ctrl+w} Close plot\\
+      \keys{r} Reset view        & \keys{f} Fullscreen 0/1\\
+      \keys{f} View forward      & \keys{b} View back\\
+      \keys{p} Pan view          & \keys{o} Zoom to rect\\
+      \keys{x} X pan/zoom        & \keys{y} Y pan/zoom\\
+      \keys{g} Minor grid 0/1    & \keys{G} Major grid 0/1\\
+      \keys{l} X axis log/linear & \keys{L} Y axis log/linear\\
+      %\keys{l} & Toggle y linear / log axis\\
+    \end{tabular}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Dez regras simples\hfill
+      \READ{https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833}}
+    1. Conheça sua audiência\\
+    2. Identifique sua mensagem\\
+    3. Adapte a figura\\
+    4. Legendas não são opcionais\\
+    5. Não confie nos defaults\\
+    6. Use cores efetivamente\\
+    7. Não confunda o leitor\\
+    8. Evite “chartjunk”\\
+    9. Messagem supera beleza\\
+    10. Tenha a ferramenta correta
+  \end{myboxed}
+\end{multicols*}
+
+\begin{multicols*}{5}
+  \begin{myboxed}{Ajustes nos eixos\hfill
+      \API{https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots_adjust.html}}
+    plt.\textbf{subplots\_adjust}( … )\\
+
+    \includegraphics[width=\columnwidth]{adjustments.pdf}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Extent \& origin \hfill
+      \API{https://matplotlib.org/tutorials/intermediate/imshow_extent.html} }
+    ax.\textbf{imshow}( extent=…, origin=… )\\
+
+    \includegraphics[width=\columnwidth]{extents.pdf}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Alinhamento de texto\hfill
+      \API{https://matplotlib.org/tutorials/text/text_props.html} }
+    ax.\textbf{text}( …, ha=… , va=…, …)\\
+
+    \includegraphics[width=\columnwidth]{text-alignments.pdf}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Parâmetros de texto \hfill
+      \API{https://matplotlib.org/tutorials/text/text_props.html}}
+    ax.\textbf{text}(…, family=…, size=…, weight=…)\\
+    ax.\textbf{text}(…, fontproperties=…)\\
+
+    \includegraphics[width=\columnwidth]{fonts.pdf}
+  \end{myboxed}
+
+
+  \begin{myboxed}{Mapas de cor uniforme}
+    \begin{tabular}{@{}p{0.7\columnwidth}p{0.25\columnwidth}@{}}
+      \scriptsize \rule{0pt}{1.25em}\noindent
+      \colormap{viridis}
+      \colormap{plasma}
+      \colormap{inferno}
+      \colormap{magma}
+      \colormap{cividis}
+    \end{tabular}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Mapas de cor sequenciais}
+    \begin{tabular}{@{}p{0.7\columnwidth}p{0.25\columnwidth}@{}}
+      \scriptsize \rule{0pt}{1.25em}\noindent
+      \colormap{Greys}
+      \colormap{Purples}
+      \colormap{Blues}
+      \colormap{Greens}
+      \colormap{Oranges}
+      \colormap{Reds}
+      \colormap{YlOrBr}
+      \colormap{YlOrRd}
+      \colormap{OrRd}
+      \colormap{PuRd}
+      \colormap{RdPu}
+      \colormap{BuPu}
+      \colormap{GnBu}
+      \colormap{PuBu}
+      \colormap{YlGnBu}
+      \colormap{PuBuGn}
+      \colormap{BuGn}
+      \colormap{YlGn}
+    \end{tabular}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Mapas de cores divergentes}
+    \begin{tabular}{@{}p{0.7\columnwidth}p{0.25\columnwidth}@{}}
+      \scriptsize \rule{0pt}{1.25em}\noindent
+      \colormap{PiYG}
+      \colormap{PRGn}
+      \colormap{BrBG}
+      \colormap{PuOr}
+      \colormap{RdGy}
+      \colormap{RdBu}
+      \colormap{RdYlBu}
+      \colormap{RdYlGn}
+      \colormap{Spectral}
+      \colormap{coolwarm}
+      \colormap{bwr}
+      \colormap{seismic}
+    \end{tabular}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Mapas de cores qualitativos}
+    \begin{tabular}{@{}p{0.7\columnwidth}p{0.25\columnwidth}@{}}
+      \scriptsize \rule{0pt}{1.25em}\noindent
+      \colormap{Pastel1}
+      \colormap{Pastel2}
+      \colormap{Paired}
+      \colormap{Accent}
+      \colormap{Dark2}
+      \colormap{Set1}
+      \colormap{Set2}
+      \colormap{Set3}
+      \colormap{tab10}
+      \colormap{tab20}
+      \colormap{tab20b}
+      \colormap{tab20c}
+    \end{tabular}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Mapas de cores diversos}
+    \begin{tabular}{@{}p{0.7\columnwidth}p{0.25\columnwidth}@{}}
+      \scriptsize \rule{0pt}{1.25em}\noindent
+      \colormap{terrain}
+      \colormap{ocean}
+      \colormap{cubehelix}
+      \colormap{rainbow}
+      \colormap{twilight}
+    \end{tabular}
+  \end{myboxed}
+
+
+
+  \begin{myboxed}{Nomes de cores \hfill
+      \API{https://matplotlib.org/stable/api/colors_api.html} }
+    \includegraphics[width=\columnwidth]{colornames.pdf}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Interpolação de image
+      \hfill \API{https://matplotlib.org/gallery/images_contours_and_fields/interpolation_methods.html} }
+        \smallskip
+%%    plt.\textbf{imshow}(…, interpolation=…)\\
+%%    plt.\textbf{contour[f]}(…, interpolation=…)\\
+    \includegraphics[width=\columnwidth]{interpolations.pdf}
+  \end{myboxed}
+
+
+  \begin{myboxed}{Localização da legenda}
+    \includegraphics[width=\columnwidth]{legend-placement.pdf}
+    ax.\textbf{legend}(loc="string", bbox\_to\_anchor=(x,y))\\
+    \begin{tabular}{@{}p{0.33\columnwidth}
+                       p{0.33\columnwidth}
+                       p{0.33\columnwidth}@{}}
+      \scriptsize \rule{0pt}{1.25em}\noindent
+      2: upper left  & 9: upper center  & 1: upper right\\
+      6: center left & 10: center       & 7: center right\\
+      3: lower left  & 8: lower center  & 4: lower right\\
+    \end{tabular}
+
+    \begin{tabular}{@{}p{0.495\columnwidth}
+                       p{0.495\columnwidth}@{}}
+      \scriptsize \rule{0pt}{1.25em}\noindent
+      \tiny A: upper right /  {\ttfamily (-0.1,0.9)} & \tiny B: center right / {\ttfamily (-0.1,0.5)}\\
+      \tiny C: lower right /  {\ttfamily (-0.1,0.1)} & \tiny D: upper left /   {\ttfamily (0.1,-0.1)}\\
+      \tiny E: upper center / {\ttfamily (0.5,-0.1)} & \tiny F: upper right /  {\ttfamily (0.9,-0.1)}\\
+      \tiny G: lower left /   {\ttfamily (1.1,0.1)} & \tiny H: center left /  {\ttfamily (1.1,0.5)}\\
+      \tiny I: upper left /   {\ttfamily (1.1,0.9)} & \tiny J: lower right /  {\ttfamily (0.9,1.1)}\\
+      \tiny K: lower center / {\ttfamily (0.5,1.1)} & \tiny L: lower left /   {\ttfamily (0.1,1.1)}
+    \end{tabular}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Estilo de anotação de conexões \hfill
+      \API{https://matplotlib.org/tutorials/text/annotations.html} }
+    \includegraphics[width=\columnwidth]{annotation-connection-styles.pdf}
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Estilo de anotações de setas\hfill
+      \API{https://matplotlib.org/tutorials/text/annotations.html} }
+    \includegraphics[width=\columnwidth]{annotation-arrow-styles.pdf}
+  \end{myboxed}
+
+  %
+  \vspace{\fill}
+  %
+
+  %
+  \begin{myboxed}{Como eu …}
+    \textbf{… redimensiono uma figura?}\\
+    \hspace*{2.5mm}~$\rightarrow$ fig.set\_size\_inches(w, h)\\
+    \textbf{… salvo uma figura?}\\
+    \hspace*{2.5mm}~$\rightarrow$ fig.savefig("figure.pdf")\\
+    \textbf{… salve uma figura transparente?}\\
+    \hspace*{2.5mm}~$\rightarrow$ fig.savefig("figure.pdf", transparent=True)\\
+    \textbf{… limpo uma figura/um eixo?}\\
+    \hspace*{2.5mm}~$\rightarrow$ fig.clear() $\rightarrow$ ax.clear()\\
+    \textbf{… fecho todas as figuras?}\\
+    \hspace*{2.5mm}~$\rightarrow$ plt.close("all")\\
+    \textbf{… removo ticks?}\\
+    \hspace*{2.5mm}~$\rightarrow$ ax.set\_[xy]ticks([])\\
+    \textbf{… removo rótulos de ticks?}\\
+    \hspace*{2.5mm}~$\rightarrow$ ax.set\_[xy]ticklabels([])\\
+    \textbf{… rotaciono rótulos de ticks?}\\
+    \hspace*{2.5mm}~$\rightarrow$ ax.tick\_params(axis="x", rotation=90)\\
+    \textbf{… escondo top spine?}\\
+    \hspace*{2.5mm}~$\rightarrow$ ax.spines['top'].set\_visible(False)\\
+    \textbf{… escondo borda da legenda?}\\
+    \hspace*{2.5mm}~$\rightarrow$  ax.legend(frameon=False)\\
+    \textbf{… mostro erro como uma região sombreada?}\\
+    \hspace*{2.5mm}~$\rightarrow$ ax.fill\_between(X, Y+error, Y-error)\\
+    \textbf{… desenho um retângulo?}\\
+    \hspace*{2.5mm}~$\rightarrow$  ax.add\_patch(plt.Rectangle((0, 0), 1, 1)\\
+    \textbf{… desenho uma linha vertical?}\\
+    \hspace*{2.5mm}~$\rightarrow$  ax.axvline(x=0.5)\\
+    \textbf{… desenho fora do frame?}\\
+    \hspace*{2.5mm}~$\rightarrow$  ax.plot(…, clip\_on=False)\\
+    \textbf{… uso transparência?}\\
+    \hspace*{2.5mm}~$\rightarrow$  ax.plot(…, alpha=0.25)\\
+    \textbf{… converto uma imagem RGB em uma imagem cinza? }\\
+    \hspace*{2.5mm}~$\rightarrow$  gray = 0.2989*R + 0.5870*G + 0.1140*B\\
+    \textbf{… defino uma cor de fundo para a figura?}\\
+    \hspace*{2.5mm}~$\rightarrow$ fig.patch.set\_facecolor(``grey'')\\
+    \textbf{… obtenho um mapa de cor reverso?}\\
+    \hspace*{2.5mm}~$\rightarrow$ plt.get\_cmap(``viridis\_r'')\\
+    \textbf{… obtenho um mapa de cor discreto?}\\
+    \hspace*{2.5mm}~$\rightarrow$ plt.get\_cmap(``viridis'', 10)\\
+    \textbf{… mostro uma figura por um segundo?}\\
+    \hspace*{2.5mm}~$\rightarrow$ fig.show(block=False), time.sleep(1)
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Dicas de performance}
+    \smallskip
+    {\ttfamily \fontsize{6pt}{7pt}\selectfont
+     %
+    \textcolor{red}{scatter(X, Y)  \hfill devagar}\\
+    plot(X, Y, marker="o", ls="")  \hfill rápido%
+    \vskip.5\baselineskip
+    %
+    \textcolor{red}{for i in range(n): plot(X[i]) \hfill devagar}\\
+    plot(sum([x+[None] for x in X],[])) \hfill rápido%
+    \vskip.5\baselineskip
+    %
+    \textcolor{red}{cla(), imshow(…), canvas.draw() \hfill devagar}\\
+    im.set\_data(…), canvas.draw() \hfill rápido%
+    \vskip.1\baselineskip
+    }
+  \end{myboxed}
+  %
+  \vspace{\fill}
+  %
+  \begin{myboxed}{Além do Matplotlib}
+        \smallskip
+    \href{https://seaborn.pydata.org/}{\textbf{Seaborn}}: Visualização de dado estatísticos\\
+    \href{https://scitools.org.uk/cartopy/docs/latest/}{\textbf{Cartopy}}: Processamento de dados geoespaciais\\
+    \href{https://yt-project.org/doc/index.html}{\textbf{yt}}: Visualização de dados volumétricos\\
+    \href{https://mpld3.github.io}{\textbf{mpld3}}: Trazendo Matplotlib para o navegador\\
+    \href{https://datashader.org/}{\textbf{Datashader}}: Large data processing pipeline\\
+    \href{https://plotnine.readthedocs.io/en/latest/}{\textbf{plotnine}}: Uma gramática de gráficos para Python
+  \end{myboxed}
+  %
+  \begin{center}
+  \href{https://github.com/matplotlib/cheatsheets}{Matplotlib Cheatsheets}\\
+  Copyright (c) 2021 Matplotlib Development Team\\
+  Released under a CC-BY 4.0 International License\\
+  \smallskip
+  \includegraphics[width=\columnwidth]{numfocus.png}
+  \end{center}
+
+\end{multicols*}
+\end{document}
diff --git a/cheatsheets.tex b/cheatsheets.tex
index 09c86a1..81b7303 100644
--- a/cheatsheets.tex
+++ b/cheatsheets.tex
@@ -682,11 +682,11 @@
     \fbox{\includegraphics[width=.32\columnwidth]{style-classic.pdf}}
     \fbox{\includegraphics[width=.32\columnwidth]{style-grayscale.pdf}}
     \fbox{\includegraphics[width=.32\columnwidth]{style-ggplot.pdf}}
-    \fbox{\includegraphics[width=.32\columnwidth]{style-seaborn.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-seaborn-v0_8.pdf}}
     \fbox{\includegraphics[width=.32\columnwidth]{style-fast.pdf}}
     \fbox{\includegraphics[width=.32\columnwidth]{style-bmh.pdf}}
     \fbox{\includegraphics[width=.32\columnwidth]{style-Solarize_Light2.pdf}}
-    \fbox{\includegraphics[width=.32\columnwidth]{style-seaborn-notebook.pdf}}
+    \fbox{\includegraphics[width=.32\columnwidth]{style-seaborn-v0_8-notebook.pdf}}
     %% \fbox{\includegraphics[width=.24\columnwidth]{style-default.pdf}}
     %% \fbox{\includegraphics[width=.24\columnwidth]{style-classic.pdf}}
     %% \fbox{\includegraphics[width=.24\columnwidth]{style-grayscale.pdf}}
diff --git a/handout-beginner.pt-br.tex b/handout-beginner.pt-br.tex
new file mode 100644
index 0000000..a03e5e0
--- /dev/null
+++ b/handout-beginner.pt-br.tex
@@ -0,0 +1,307 @@
+\documentclass[10pt,landscape,a4paper]{article}
+\usepackage[right=10mm, left=10mm, top=10mm, bottom=10mm]{geometry}
+\usepackage[utf8]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage[english]{babel}
+\usepackage[rm,light]{roboto}
+\usepackage{xcolor}
+\usepackage{graphicx}
+\graphicspath{{./figures/}}
+\usepackage{multicol}
+\usepackage{colortbl}
+\usepackage{array}
+\setlength\parindent{0pt}
+\setlength{\tabcolsep}{2pt}
+\baselineskip=0pt
+\setlength\columnsep{1em}
+\definecolor{Gray}{gray}{0.85}
+
+% --- Listing -----------------------------------------------------------------
+\usepackage{listings}
+\lstset{
+  frame=tb, framesep=4pt, framerule=0pt,
+  backgroundcolor=\color{black!5},
+  basicstyle=\ttfamily,
+  commentstyle=\ttfamily\color{black!50},
+  breakatwhitespace=false,
+  breaklines=true,
+  extendedchars=true,
+  keepspaces=true,
+  language=Python,
+  rulecolor=\color{black},
+  showspaces=false,
+  showstringspaces=false,
+  showtabs=false,
+  tabsize=2,
+  %
+  emph = { plot, scatter, imshow, bar, contourf, pie, subplots, show, savefig,
+           errorbar, boxplot, hist, set_title, set_xlabel, set_ylabel, suptitle,  },
+  emphstyle = {\ttfamily\bfseries}
+}
+
+% --- Fonts -------------------------------------------------------------------
+\usepackage{fontspec}
+\usepackage[babel=true]{microtype}
+\defaultfontfeatures{Ligatures = TeX, Mapping = tex-text}
+\setsansfont{Roboto} [ Path           = fonts/roboto/Roboto-,
+                       Extension      = .ttf,
+                       UprightFont    = Light,
+                       ItalicFont     = LightItalic,
+                       BoldFont       = Regular,
+                       BoldItalicFont = Italic ]
+\setromanfont{RobotoSlab} [ Path           = fonts/roboto-slab/RobotoSlab-,
+                            Extension      = .ttf,
+                            UprightFont    = Light,
+                            BoldFont       = Bold ]
+\setmonofont{RobotoMono} [ Path           = fonts/roboto-mono/RobotoMono-,
+                           Extension      = .ttf,
+                           Scale          = 0.90,
+                           UprightFont    = Light,
+                           ItalicFont     = LightItalic,
+                           BoldFont       = Regular,
+                           BoldItalicFont = Italic ]
+\renewcommand{\familydefault}{\sfdefault}
+
+% -----------------------------------------------------------------------------
+\begin{document}
+\thispagestyle{empty}
+
+\section*{\LARGE \rmfamily
+          Matplotlib \textcolor{orange}{\mdseries para iniciantes}}
+
+\begin{multicols*}{3}
+
+Matplotlib é uma biblioteca para gerar plots em 2D e 3D em Python. Foi criada
+com a filosofia de que você deve ser capaz de criar plots simples com apenas
+alguns comandos:\\
+
+\fbox{1} \textbf{Inicialize}
+\begin{lstlisting}
+ import numpy as np
+ import matplotlib.pyplot as plt
+\end{lstlisting}
+%
+\fbox{2} \textbf{Prepare}
+\begin{lstlisting}
+ X = np.linspace(0, 4*np.pi, 1000)
+ Y = np.sin(X)
+\end{lstlisting}
+%
+\fbox{3} \textbf{Renderize}
+\begin{lstlisting}
+ fig, ax = plt.subplots()
+ ax.plot(X, Y)
+ fig.show()
+\end{lstlisting}
+%
+\fbox{4} \textbf{Observe} \medskip\\
+\includegraphics[width=\linewidth]{sine.pdf}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Escolha}
+% -----------------------------------------------------------------------------
+
+Matplotlib oferece diversos tipos de plots (veja Galeria): \medskip
+
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.random.uniform(0, 1, 100)
+ Y = np.random.uniform(0, 1, 100)
+ ax.scatter(X, Y)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{basic-scatter.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.arange(10)
+ Y = np.random.uniform(1, 10, 10)
+ ax.bar(X, Y)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{basic-bar.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ Z = np.random.uniform(0, 1, (8,8))
+
+ ax.imshow(Z)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{basic-imshow.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ Z = np.random.uniform(0, 1, (8,8))
+
+ ax.contourf(Z)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{basic-contour.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ Z = np.random.uniform(0, 1, 4)
+
+ ax.pie(Z)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{basic-pie.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ Z = np.random.normal(0, 1, 100)
+
+ ax.hist(Z)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{advanced-hist.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.arange(5)
+ Y = np.random.uniform(0, 1, 5)
+ ax.errorbar(X, Y, Y/4)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{advanced-errorbar.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ Z = np.random.normal(0, 1, (100,3))
+
+ ax.boxplot(Z)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{advanced-boxplot.pdf}}
+\end{tabular}
+
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Modifique}
+% -----------------------------------------------------------------------------
+Você pode modificar praticamente tudo em um plot, incluindo limites,
+cores, marcadores, grossura e estilo de linhas, ticks e rótulos de ticks,
+títulos, etc. \medskip
+
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.linspace(0, 10, 100)
+ Y = np.sin(X)
+ ax.plot(X, Y, color="black")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{plot-color.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.linspace(0, 10, 100)
+ Y = np.sin(X)
+ ax.plot(X, Y, linestyle="--")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{plot-linestyle.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.linspace(0, 10, 100)
+ Y = np.sin(X)
+ ax.plot(X, Y, linewidth=5)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{plot-linewidth.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.linspace(0, 10, 100)
+ Y = np.sin(X)
+ ax.plot(X, Y, marker="o")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{plot-marker.pdf}}
+\end{tabular}
+
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Organize}
+% -----------------------------------------------------------------------------
+
+Você pode plotar diferentes dados na mesma figura, mas você também
+pode dividir uma figura em diversos subplots (chamados {\em Axes}): \medskip
+
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.linspace(0, 10, 100)
+ Y1, Y2 = np.sin(X), np.cos(X)
+ ax.plot(X, Y1, X, Y2)
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{plot-multi.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ fig, (ax1, ax2) = plt.subplots(2,1)
+ ax1.plot(X, Y1, color="C1")
+ ax2.plot(X, Y2, color="C0")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{plot-vsplit.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ fig, (ax1, ax2) = plt.subplots(1,2)
+ ax1.plot(Y1, X, color="C1")
+ ax2.plot(Y2, X, color="C0")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{plot-hsplit.pdf}}
+\end{tabular}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Rotule \mdseries (tudo)}
+% -----------------------------------------------------------------------------
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ ax.plot(X, Y)
+ fig.suptitle(None)
+ ax.set_title("Uma senoide")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{plot-title.pdf}}
+\end{tabular}
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ ax.plot(X, Y)
+ ax.set_ylabel(None)
+ ax.set_xlabel("Tempo")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{plot-xlabel.pdf}}
+\end{tabular}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Explore}
+% -----------------------------------------------------------------------------
+
+As figuras estão contidas em uma interface gráfica que permite manipulações como modificar o zoom
+e deslocar a figura, navegar entre diferentes visualizações e
+mostrar o valor selecionado pelo mouse.
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Salve \mdseries (bitmap ou vetor)}
+% -----------------------------------------------------------------------------
+\begin{lstlisting}[belowskip=-\baselineskip]
+ fig.savefig("minha-primeira-figura.png", dpi=300)
+ fig.savefig("minha-primeira-figura.pdf")
+\end{lstlisting}
+%
+\vfill
+%
+{\scriptsize
+  Matplotlib 3.5.0 handout for beginners.
+  Copyright (c) 2021 Matplotlib Development Team.
+  Released under a CC-BY 4.0 International License.
+  Supported by NumFOCUS.
+\par}
+
+\end{multicols*}
+\end{document}
diff --git a/handout-beginner.tex b/handout-beginner.tex
index 690a844..a4008a6 100644
--- a/handout-beginner.tex
+++ b/handout-beginner.tex
@@ -71,7 +71,7 @@ \section*{\LARGE \rmfamily
 
 \begin{multicols*}{3}
 
-Matplotlib is a library for making 2D plots in Python. It is designed
+Matplotlib is a library for making 2D and 3D plots in Python. It is designed
 with the philosophy that you should be able to create simple plots
 with just a few commands:\\
 
diff --git a/handout-intermediate.pt-br.tex b/handout-intermediate.pt-br.tex
new file mode 100644
index 0000000..6842d33
--- /dev/null
+++ b/handout-intermediate.pt-br.tex
@@ -0,0 +1,210 @@
+\documentclass[10pt,landscape,a4paper]{article}
+\usepackage[right=10mm, left=10mm, top=10mm, bottom=10mm]{geometry}
+\usepackage[utf8]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage[english]{babel}
+\usepackage[rm,light]{roboto}
+\usepackage{xcolor}
+\usepackage{graphicx}
+\graphicspath{{./figures/}}
+\usepackage{multicol}
+\usepackage{colortbl}
+\usepackage{array}
+\setlength\parindent{0pt}
+\setlength{\tabcolsep}{2pt}
+\baselineskip=0pt
+\setlength\columnsep{1em}
+\definecolor{Gray}{gray}{0.85}
+
+% --- Listing -----------------------------------------------------------------
+\usepackage{listings}
+\lstset{
+  frame=tb, framesep=4pt, framerule=0pt,
+  backgroundcolor=\color{black!5},
+  basicstyle=\ttfamily,
+  commentstyle=\ttfamily\color{black!50},
+  breakatwhitespace=false,
+  breaklines=true,
+  extendedchars=true,
+  keepspaces=true,
+  language=Python,
+  rulecolor=\color{black},
+  showspaces=false,
+  showstringspaces=false,
+  showtabs=false,
+  tabsize=2,
+  %
+  emph = { plot, scatter, imshow, bar, contourf, pie, subplots, spines,
+    add_gridspec, add_subplot, set_xscale, set_minor_locator,
+    annotate, set_minor_formatter, tick_params, fill_betweenx, text, legend,
+    errorbar, boxplot, hist, title, xlabel, ylabel, suptitle },
+  emphstyle = {\ttfamily\bfseries}
+}
+
+% --- Fonts -------------------------------------------------------------------
+\usepackage{fontspec}
+\usepackage[babel=true]{microtype}
+\defaultfontfeatures{Ligatures = TeX, Mapping = tex-text}
+\setsansfont{Roboto} [ Path           = fonts/roboto/Roboto-,
+                       Extension      = .ttf,
+                       UprightFont    = Light,
+                       ItalicFont     = LightItalic,
+                       BoldFont       = Regular,
+                       BoldItalicFont = Italic ]
+\setromanfont{RobotoSlab} [ Path           = fonts/roboto-slab/RobotoSlab-,
+                            Extension      = .ttf,
+                            UprightFont    = Light,
+                            BoldFont       = Bold ]
+\setmonofont{RobotoMono} [ Path           = fonts/roboto-mono/RobotoMono-,
+                           Extension      = .ttf,
+                           Scale          = 0.90,
+                           UprightFont    = Light,
+                           ItalicFont     = LightItalic,
+                           BoldFont       = Regular,
+                           BoldItalicFont = Italic ]
+\renewcommand{\familydefault}{\sfdefault}
+
+% -----------------------------------------------------------------------------
+\begin{document}
+\thispagestyle{empty}
+
+\section*{\LARGE \rmfamily
+          Matplotlib \textcolor{orange}{\mdseries para utilizadores de nível intermediário}}
+
+\begin{multicols*}{3}
+
+Uma figura matplotlib é composta por uma hierarquia de elementos que formam
+a figura atual. Cada elemento pode ser modificado. \medskip
+
+\includegraphics[width=\linewidth]{anatomy.pdf}
+
+\subsection*{\rmfamily Figure, axes \& spines}
+
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ fig, axs = plt.subplots(3,3)
+ axs[0,0].set_facecolor("#ddddff")
+ axs[2,2].set_facecolor("#ffffdd")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{layout-subplot-color.pdf}}
+\end{tabular}
+
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ gs = fig.add_gridspec(3, 3)
+ ax = fig.add_subplot(gs[0, :])
+ ax.set_facecolor("#ddddff")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{layout-gridspec-color.pdf}}
+\end{tabular}
+
+% -----------------------------------------------------------------------------
+\begin{tabular}{@{}m{.821\linewidth}m{.169\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ fig, ax = plt.subplots()
+ ax.spines["top"].set_color("None")
+ ax.spines["right"].set_color("None")
+\end{lstlisting}
+& \raisebox{-0.75em}{\includegraphics[width=\linewidth]{layout-spines.pdf}}
+\end{tabular}
+
+
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Ticks \& rótulos}
+
+\begin{lstlisting}[basicstyle=\ttfamily\small]
+ from mpl.ticker import MultipleLocator as ML
+ from mpl.ticker import ScalarFormatter as SF
+ ax.xaxis.set_minor_locator(ML(0.2))
+ ax.xaxis.set_minor_formatter(SF())
+ ax.tick_params(axis='x',which='minor',rotation=90)
+\end{lstlisting}
+\includegraphics[width=\linewidth]{tick-multiple-locator.pdf}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Linhas \& marcadores}
+
+\begin{lstlisting}
+ X = np.linspace(0.1, 10*np.pi, 1000)
+ Y = np.sin(X)
+ ax.plot(X, Y, "C1o:", markevery=25, mec="1.0")
+\end{lstlisting}
+\includegraphics[width=\linewidth]{sine-marker.pdf}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Escalas \& projeções}
+
+\begin{lstlisting}
+ fig, ax = plt.subplots()
+ ax.set_xscale("log")
+ ax.plot(X, Y, "C1o-", markevery=25, mec="1.0")
+\end{lstlisting}
+\includegraphics[width=\linewidth]{sine-logscale.pdf}
+
+\subsection*{\rmfamily Texto \& ornamentos}
+\begin{lstlisting}[]
+ ax.fill_betweenx([-1,1],[0],[2*np.pi])
+ ax.text(0, -1, r" Period $\Phi$")
+\end{lstlisting}
+\includegraphics[width=\linewidth]{sine-period.pdf}
+
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Legenda}
+\begin{lstlisting}[]
+ ax.plot(X, np.sin(X), "C0", label="Sine")
+ ax.plot(X, np.cos(X), "C1", label="Cosine")
+ ax.legend(bbox_to_anchor=(0,1,1,.1),ncol=2,
+           mode="expand",  loc="lower left")
+\end{lstlisting}
+\includegraphics[width=\linewidth]{sine-legend.pdf}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Anotação}
+\begin{lstlisting}[]
+ ax.annotate("A", (X[250],Y[250]),(X[250],-1),
+   ha="center", va="center",arrowprops =
+   {"arrowstyle" : "->", "color": "C1"})
+\end{lstlisting}
+\includegraphics[width=\linewidth]{sine-annotate.pdf}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Cores}
+
+Qualquer cor pode ser usada, mas o Matplotlib oferece um conjunto de cores:\\
+\includegraphics[width=\linewidth]{colors-cycle.pdf} \smallskip
+\includegraphics[width=\linewidth]{colors-grey.pdf}\\
+%As well as nice colormaps (viridis an magma):\\
+%\includegraphics[width=\linewidth]{colormap-viridis.pdf} \smallskip
+%\includegraphics[width=\linewidth]{colormap-magma.pdf} \medskip
+
+% -----------------------------------------------------------------------------
+\vspace{-1em}
+\subsection*{\rmfamily Tamanho \& DPI}
+
+Considere uma figura quadradada a ser incluída em uma folha de papel A4 de duas colunas com
+margem de 2cm em cada lado e uma coluna de separação de 1cm. A largura de um figura é
+(21 - 2*2 - 1)/2 = 8cm. Uma polegada sendo 2.54cm, tamanho da figura deve ser
+3.15$\times$3.15 in.
+\begin{lstlisting}[]
+ fig = plt.figure(figsize=(3.15,3.15), dpi=50)
+ plt.savefig("figure.pdf", dpi=600)
+\end{lstlisting}
+
+
+\vfill
+%
+{\scriptsize
+  Matplotlib 3.5.0 handout for intermediate users.
+  Copyright (c) 2021 Matplotlib Development Team.
+  Released under a CC-BY 4.0 International License.
+  Supported by NumFOCUS.
+\par}
+
+
+
+\end{multicols*}
+\end{document}
diff --git a/handout-tips.pt-br.tex b/handout-tips.pt-br.tex
new file mode 100644
index 0000000..c263d96
--- /dev/null
+++ b/handout-tips.pt-br.tex
@@ -0,0 +1,257 @@
+\documentclass[10pt,landscape,a4paper]{article}
+\usepackage[right=10mm, left=10mm, top=10mm, bottom=10mm]{geometry}
+\usepackage[utf8]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage[english]{babel}
+\usepackage[rm,light]{roboto}
+\usepackage{xcolor}
+\usepackage{graphicx}
+\graphicspath{{./figures/}}
+\usepackage{multicol}
+\usepackage{colortbl}
+\usepackage{array}
+\setlength\parindent{0pt}
+\setlength{\tabcolsep}{2pt}
+\baselineskip=0pt
+\setlength\columnsep{1em}
+\definecolor{Gray}{gray}{0.85}
+
+% --- Listing -----------------------------------------------------------------
+\usepackage{listings}
+\lstset{
+  frame=tb, framesep=4pt, framerule=0pt,
+  backgroundcolor=\color{black!5},
+  basicstyle=\ttfamily\footnotesize,
+  commentstyle=\ttfamily\color{black!50},
+  breakatwhitespace=false,
+  breaklines=true,
+  extendedchars=true,
+  keepspaces=true,
+  language=Python,
+  rulecolor=\color{black},
+  showspaces=false,
+  showstringspaces=false,
+  showtabs=false,
+  tabsize=2,
+  %
+  emph = {
+    plot, scatter, imshow, bar, contourf, pie, subplots, spines,
+    add_gridspec, add_subplot, set_xscale, set_minor_locator, linestyle,
+    dash_capstyle, projection, Stroke, Normal, add_axes, label, savefig,
+    get_cmap, histtype, annotate, set_minor_formatter, tick_params,
+    fill_betweenx, text, legend, errorbar, boxplot, hist, title, xlabel,
+    ylabel, suptitle, fraction, pad, set_fontname, get_xticklabels},
+  emphstyle = {\ttfamily\bfseries}
+}
+
+% --- Fonts -------------------------------------------------------------------
+\usepackage{fontspec}
+\usepackage[babel=true]{microtype}
+\defaultfontfeatures{Ligatures = TeX, Mapping = tex-text}
+\setsansfont{Roboto} [ Path           = fonts/roboto/Roboto-,
+                       Extension      = .ttf,
+                       UprightFont    = Light,
+                       ItalicFont     = LightItalic,
+                       BoldFont       = Regular,
+                       BoldItalicFont = Italic ]
+\setromanfont{RobotoSlab} [ Path           = fonts/roboto-slab/RobotoSlab-,
+                            Extension      = .ttf,
+                            UprightFont    = Light,
+                            BoldFont       = Bold ]
+\setmonofont{RobotoMono} [ Path           = fonts/roboto-mono/RobotoMono-,
+                           Extension      = .ttf,
+                           Scale          = 0.90,
+                           UprightFont    = Light,
+                           ItalicFont     = LightItalic,
+                           BoldFont       = Regular,
+                           BoldItalicFont = Italic ]
+\renewcommand{\familydefault}{\sfdefault}
+
+% -----------------------------------------------------------------------------
+\begin{document}
+\thispagestyle{empty}
+
+\section*{\LARGE \rmfamily
+          Matplotlib \textcolor{orange}{\mdseries dicas \& truques}}
+
+\begin{multicols*}{3}
+
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Transparência}
+
+Gráficos de dispersão podem ser melhorados ao usar a transparência (alpha) para
+mostrar uma área com maior densidade. Múltiplos gráficos de dispersão podem ser
+usados para delinear uma fronteira.
+
+\begin{tabular}{@{}m{.774\linewidth}m{.216\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.random.normal(-1, 1, 500)
+ Y = np.random.normal(-1, 1, 500)
+ ax.scatter(X, Y, 50, "0.0", lw=2) # optional
+ ax.scatter(X, Y, 50, "1.0", lw=0) # optional
+ ax.scatter(X, Y, 40, "C1",  lw=0, alpha=0.1)
+\end{lstlisting} &
+\raisebox{-0.75em}{\includegraphics[width=\linewidth]{tip-transparency.pdf}}
+\end{tabular}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Rasterização}
+Se a sua figura tem muitos elementos gráficos, como um gráfico de dispersão
+gigante, você pode rasterizá-los para salvar memória e manter outros elementos
+em formato vetorial.
+\begin{lstlisting}
+ X = np.random.normal(-1, 1, 10_000)
+ Y = np.random.normal(-1, 1, 10_000)
+ ax.scatter(X, Y, rasterized=True)
+ fig.savefig("rasterized-figure.pdf", dpi=600)
+\end{lstlisting}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Renderização offline}
+
+Use o backend Agg para renderizar a figura diretamente em um array.
+\begin{lstlisting}
+ from matplotlib.backends.backend_agg import FigureCanvas
+ canvas = FigureCanvas(Figure()))
+ ... # draw some stuff
+ canvas.draw()
+ Z = np.array(canvas.renderer.buffer_rgba())
+\end{lstlisting}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Faixa contínua de cores}
+
+Você pode usar um mapa de cor (colormap) para escolher de uma faixa de cores
+contínuas.
+
+\begin{tabular}{@{}m{.774\linewidth}m{.216\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ X = np.random.randn(1000, 4)
+ cmap = plt.get_cmap("Oranges")
+ colors = cmap([0.2, 0.4, 0.6, 0.8])
+
+ ax.hist(X, 2, histtype='bar', color=colors)
+\end{lstlisting} &
+\raisebox{-0.75em}{\includegraphics[width=\linewidth]{tip-color-range.pdf}}
+\end{tabular}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Contorno de texto}
+Use o contorno de texto para deixar o texto mais visível.
+
+\begin{tabular}{@{}m{.774\linewidth}m{.216\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ import matplotlib.patheffects as fx
+ text = ax.text(0.5, 0.1, "Label")
+ text.set_path_effects([
+   fx.Stroke(linewidth=3, foreground='1.0'),
+   fx.Normal()])
+\end{lstlisting} &
+\raisebox{-0.75em}{\includegraphics[width=\linewidth]{tip-outline.pdf}}
+\end{tabular}
+
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Plot multilinhas}
+Você pode plotar várias linhas ao mesmo tempo usando None como separador.
+
+\begin{lstlisting}
+ X,Y = [], []
+ for x in np.linspace(0, 10*np.pi, 100):
+   X.extend([x, x, None]), Y.extend([0, sin(x), None])
+ ax.plot(X, Y, "black")
+\end{lstlisting}
+\includegraphics[width=\linewidth]{tip-multiline.pdf}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Linhas pontilhadas}
+Para obter linhas pontilhadas arredondadas, use o {\ttfamily linestyle}
+customizado e modifique o {\ttfamily dash\_capstyle}.
+\begin{lstlisting}
+ ax.plot([0,1], [0,0], "C1",
+        linestyle = (0, (0.01, 1)), dash_capstyle="round")
+ ax.plot([0,1], [1,1], "C1",
+        linestyle = (0, (0.01, 2)), dash_capstyle="round")
+\end{lstlisting}
+\includegraphics[width=\linewidth]{tip-dotted.pdf}
+
+% -----------------------------------------------------------------------------
+\subsection*{\rmfamily Eixos combinados}
+Você pode usar eixos sobrepostos com diferentes projeções.
+
+\begin{tabular}{@{}m{.774\linewidth}m{.216\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ ax1 = fig.add_axes([0,0,1,1],
+                    label="cartesian")
+ ax2 = fig.add_axes([0,0,1,1],
+                    label="polar",
+                    projection="polar")
+\end{lstlisting} &
+\raisebox{-0.75em}{\includegraphics[width=\linewidth]{tip-dual-axis.pdf}}
+\end{tabular}
+
+\subsection*{\rmfamily Ajuste da barra de cores}
+Você consegue ajustar o tamanho de uma barra de cores (colorbar) quando a
+adiciona.
+
+\begin{tabular}{@{}m{.754\linewidth}m{.236\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ im = ax.imshow(Z)
+
+ cb = plt.colorbar(im,
+         fraction=0.046, pad=0.04)
+ cb.set_ticks([])
+\end{lstlisting} &
+\raisebox{-0.75em}{\includegraphics[width=\linewidth]{tip-colorbar.pdf}}
+\end{tabular}
+
+\subsection*{\rmfamily Tirando vantagem da tipografia}
+Você pode usar uma fonte condensada como a Roboto Condensed para salvar espaço
+nos rótulos dos ticks.
+
+\begin{lstlisting}
+ for tick in ax.get_xticklabels(which='both'):
+     tick.set_fontname("Roboto Condensed")
+\end{lstlisting}
+\includegraphics[width=\linewidth]{tip-font-family.pdf}
+
+\subsection*{\rmfamily Se livrando das margens}
+Uma vez que sua figura estiver pronta, você pode chamar {\ttfamily tight\_layout()}
+para remover as margens brancas. Se houver alguma margem adicional, você pode
+usar a utilidade do {\ttfamily pdfcrop} (vem com o TeX live).
+
+
+\subsection*{\rmfamily Hachuras}
+Você pode alcançar um efeito visual legal com padrões de hachuras.
+
+\begin{tabular}{@{}m{.774\linewidth}m{.216\linewidth}}
+\begin{lstlisting}[belowskip=-\baselineskip]
+ cmap = plt.get_cmap("Oranges")
+ plt.rcParams['hatch.color'] = cmap(0.2)
+ plt.rcParams['hatch.linewidth'] = 8
+ ax.bar(X, Y, color=cmap(0.6), hatch="/" )
+\end{lstlisting} &
+\raisebox{-0.75em}{\includegraphics[width=\linewidth]{tip-hatched.pdf}}
+\end{tabular}
+
+
+\subsection*{\rmfamily Leia a documentação}
+
+Matplotlib tem uma documentação extensiva explicando os detalhes de cada comando
+e é geralmente acompanhado por exemplos. Junto com uma galeria online gigante,
+essa documentação é uma mina de ouro.
+
+\vfill
+%
+{\scriptsize
+  Matplotlib 3.5.0 handout for tips \& tricks.
+  Copyright (c) 2021 Matplotlib Development Team.
+  Released under a CC-BY 4.0 International License.
+  Supported by NumFOCUS.
+\par}
+
+
+
+\end{multicols*}
+\end{document}