\documentclass[10pt,a4paper]{article}

% Packages
\usepackage{fancyhdr}           % For header and footer
\usepackage{multicol}           % Allows multicols in tables
\usepackage{tabularx}           % Intelligent column widths
\usepackage{tabulary}           % Used in header and footer
\usepackage{hhline}             % Border under tables
\usepackage{graphicx}           % For images
\usepackage{xcolor}             % For hex colours
%\usepackage[utf8x]{inputenc}    % For unicode character support
\usepackage[T1]{fontenc}        % Without this we get weird character replacements
\usepackage{colortbl}           % For coloured tables
\usepackage{setspace}           % For line height
\usepackage{lastpage}           % Needed for total page number
\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
\usepackage{wasysym}            % Symbols
%\usepackage[english,german,french,spanish,italian]{babel}              % Languages

% Document Info
\author{drykka01}
\pdfinfo{
  /Title (python-data-analysis.pdf)
  /Creator (Cheatography)
  /Author (drykka01)
  /Subject (Python (Data Analysis) Cheat Sheet)
}

% Lengths and widths
\addtolength{\textwidth}{6cm}
\addtolength{\textheight}{-1cm}
\addtolength{\hoffset}{-3cm}
\addtolength{\voffset}{-2cm}
\setlength{\tabcolsep}{0.2cm} % Space between columns
\setlength{\headsep}{-12pt} % Reduce space between header and content
\setlength{\headheight}{85pt} % If less, LaTeX automatically increases it
\renewcommand{\footrulewidth}{0pt} % Remove footer line
\renewcommand{\headrulewidth}{0pt} % Remove header line
\renewcommand{\seqinsert}{\ifmmode\allowbreak\else\-\fi} % Hyphens in seqsplit
% This two commands together give roughly
% the right line height in the tables
\renewcommand{\arraystretch}{1.3}
\onehalfspacing

% Commands
\newcommand{\SetRowColor}[1]{\noalign{\gdef\RowColorName{#1}}\rowcolor{\RowColorName}} % Shortcut for row colour
\newcommand{\mymulticolumn}[3]{\multicolumn{#1}{>{\columncolor{\RowColorName}}#2}{#3}} % For coloured multi-cols
\newcolumntype{x}[1]{>{\raggedright}p{#1}} % New column types for ragged-right paragraph columns
\newcommand{\tn}{\tabularnewline} % Required as custom column type in use

% Font and Colours
\definecolor{HeadBackground}{HTML}{333333}
\definecolor{FootBackground}{HTML}{666666}
\definecolor{TextColor}{HTML}{333333}
\definecolor{DarkBackground}{HTML}{2E0C70}
\definecolor{LightBackground}{HTML}{F8F7FA}
\renewcommand{\familydefault}{\sfdefault}
\color{TextColor}

% Header and Footer
\pagestyle{fancy}
\fancyhead{} % Set header to blank
\fancyfoot{} % Set footer to blank
\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 (Data Analysis) Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{drykka01} via \textcolor{DarkBackground}{\uline{cheatography.com/36646/cs/11516/}}}
\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}drykka01 \\
  \uline{cheatography.com/drykka01} \\
  \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 17th July, 2017.\\
   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*}{3}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Pandas Data Frame}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{df\_1 = pd.DataFrame(\{'A': {[}0, 1, 2{]},  \newline                      'B': {[}3, 4, 5{]}\}) \newline df\_2 = pd.DataFrame({[}{[}0, 1, 2{]}, {[}3, 4, 5{]}{]},  \newline                      columns={[}'A', 'B', 'C'{]}) \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline df{[}:5{]} {\bf{\#First 5 lines}} \newline df.head() \newline df{[}df.key==10{]} {\bf{\#Where key = 10}} \newline df{[}df.key==10{]}{[}:5{]} {\bf{\#First 5 lines \& Where key=10}} \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline df\_3.iloc{[}0{]} \newline df\_3.loc{[}'column-A'{]} \newline df\_3{[}'row-A'{]} \newline df\_3.iloc{[}1, 3{]} \newline df\_3.iloc{[}1:4{]} \newline df\_3{[}{[}'row-A', 'row-D'{]}{]} \newline df.values.sum() \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline df\_1 = pd.DataFrame(\{'A': {[}0, 1, 2{]},  \newline                      'B': {[}3, 4, 5{]}\}) \newline  \newline df\_1.shift(axis=0) \newline      A    B \newline 0  NaN  NaN \newline 1  0.0  3.0 \newline 2  1.0  4.0 \newline  \newline df\_1.shift(axis=1) \newline     A    B \newline 0 NaN  0.0 \newline 1 NaN  1.0 \newline 2 NaN  2.0 \newline  \newline {\bf{\# To replace NaN with value (eg. 0)}} \newline df\_1.shift(axis=0).fillna(0)  \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline {\bf{ \# To see the difference between columns/rows }} \newline df\_1.diff(axis=0) \newline df\_1.diff(axis=1) \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline df = pd.DataFrame(\{ \newline     'a': {[}1, 2, 3{]}, \newline     'b': {[}10, 20, 30{]}, \newline     'c': {[}5, 10, 15{]} \newline \}) \newline def add\_one(x): \newline     return x + 1 \newline df.applymap(add\_one) \newline  \newline    a   b   c \newline 0  2  11   6 \newline 1  3  21  11 \newline 2  4  31  16 \newline  \newline {\bf{ \# applymap is different from apply in Pandas DF}} \newline {\bf{ \#  apply does column by column (or row by row) }} \newline {\bf{ \# instead of element by element }} \newline def \seqsplit{standardize\_column(column):} \newline     return (column - \seqsplit{column.mean())/column.std()	} \newline df.apply(standardize\_column) \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline {\bf{ \# only works in a single series (column or rows) }} \newline {\bf{ \# from entire DF use apply() }} \newline df.iloc{[}:, 0{]}.sort\_values() \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline {\bf{ \# columns vs rows operations, respectively }} \newline df - df.mean(axis=0) \newline df.sub(df.mean(axis=1),axis=0) \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline {\bf{ \# group by }} \newline df.groupby('column').groups \newline df.groupby({[}'column1', 'column2'{]}).groups \newline df.groupby('column').sum()  \newline df.groupby('column').get\_group('value1') \newline list(df.groupby('column')) \newline df.groupby('c4'){[}{[}'c1','c2'{]}{]}.apply(func) \newline  \newline http://wesmckinney.com/blog/groupby-fu-improvements-in-grouping-and-aggregating-data-in-pandas/ \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline {\bf{ \# merge (join) }} \newline dfLeft.merge(dfRight, \newline     left\_on={[}'A','B','C'{]}, \newline     right\_on={[}'A','BB','CC'{]}, \newline     how='inner')} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{1.94103 cm} x{3.03597 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Numpy Functions}}  \tn
% Row 0
\SetRowColor{LightBackground}
a.max() & Max value \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
a.argmax() & Index of max value \tn 
% Row Count 2 (+ 1)
% Row 2
\SetRowColor{LightBackground}
a.mean(axis=0) & For 2D arrays (Column) \tn 
% Row Count 3 (+ 1)
% Row 3
\SetRowColor{white}
\mymulticolumn{2}{x{5.377cm}}{a.mean(axis='columns')} \tn 
% Row Count 4 (+ 1)
% Row 4
\SetRowColor{LightBackground}
a.mean(axis=1) & For 2D arrays (Row) \tn 
% Row Count 5 (+ 1)
% Row 5
\SetRowColor{white}
\mymulticolumn{2}{x{5.377cm}}{a.mean(axis='index')} \tn 
% Row Count 6 (+ 1)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Important - Numpy Arrays}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{import numpy as np \newline  \newline a=np.array({[}1,2,3,4,5{]}) \newline slice=a{[}:3{]} \newline slice{[}0{]}=100 \newline print a \newline  \newline \{\{fa-television\}\} {[}100,2,3,4,5{]}} \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}{RegEx}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{pattern = "({[}0-9{]})\{2\}" \newline prog = re.compile(pattern) \newline match = re.match(prog, str) \newline  \newline if not match: \newline     print date\_str} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{http://regexr.com/ \newline https://docs.python.org/3.6/library/re.html}  \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}{PyMongo}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{from}} pymongo {\bf{import}} MongoClient \newline client = \seqsplit{MongoClient("mongodb://localhost:27017")} \newline db = client.examples \newline  \newline {\bf{\#what do you want to find}} \newline query = \{ "abc" : "xyz", "ghi": "mop" \} \newline query = \{ "tuv" : \{ "\$gt" : 1, "\$lte" : 100 \} \} \newline query = \{ "abc" : \{ "\$ne" : "xyz" \} \} \newline {\bf{\#what information you want to see, removing id}} \newline projection = \{ "\_id": 0, "name": 1 \} \newline autos = db.autos.find(query, projection) \newline {\bf{\#find}} \newline db.autos.find().count() {\bf{\#count all}} \newline {\bf{\#insert}} \newline a = \{\} {\bf{\#dic}} \newline db.autos.insert(a) \newline {\bf{\#check if doc with field exists \& count}} \newline db.cities.find(\{"abc":\{"\$exists":1\}\}).count() \newline {\bf{\#pretty print}} \newline db.cities.find().pretty() \newline {\bf{\#regex}} \newline db.cities.find(\{"abc":\{"\$regex":"{[}0-9{]}"\}\}) \newline {\bf{\#in - return docs with at least one of the values}} \newline db.cities.find(\{"abc":\{"\$in":{[}1,2,3{]}\}\}) \newline {\bf{\#all - return docs with all of the values}} \newline db.cities.find(\{"abc":\{"\$all":{[}1,2,3{]}\}\}) \newline {\bf{\#arrays inside arrays}} \newline "n1" : \{ "n2" : \{ "n3" : {[}4{]} \} \} \newline db.city.find( \{"n1.n2.n3" : 4\} ) \newline {\bf{\#update V1}} \newline doc = db.data.find\_one(\{"a":"b"\}) \newline doc{[}"new"{]} = "value" \newline db.data.save(doc) \newline {\bf{\#update V2 (adding)}} \newline doc = db.data.update(\{"a":"b"\},\{"\$set": \{"c":"d"\}\}) \newline {\bf{\#update V3 (removing) \& multi lines}} \newline doc = db.data.update(\{"a":"b"\}, \newline           \{"\$unset": \{"c":""\}\},multi=True) \newline {\bf{\#remove}} \newline db.data.remove(\{"a":"b"\}) \newline {\bf{\textless{}command line\textgreater{}}} \newline mongoimport -d examples -c myautos2 -{}-file autos.json} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\seqsplit{https://docs.mongodb.com/manual/reference/operator/query/}}  \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}{Load Data}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{\# Read from csv file}} \newline {\bf{import}} csv \newline {\bf{def}} parse\_file(datafile): \newline     data = {[}{]} \newline     {\bf{with}} open(datafile,'rb') {\bf{as}} f: \newline         reader = csv.reader(f) \newline         {\bf{for}} row {\bf{in}} reader: \newline             data.append(row) {\bf{\# List of Lists}} \newline  \newline {\bf{with}} open(input\_file, "r") {\bf{as}} f: \newline     reader = csv.DictReader(f) \newline     header = reader.fieldnames \newline     rows = list(reader) {\bf{\# Lists of Dic +Header}} \newline  \newline {\bf{import}} unicodecsv \newline {\bf{with}} open('file.csv', 'rb') {\bf{as}} f: \newline     reader = unicodecsv.DictReader(f) \newline     file\_dic = list(reader) {\bf{\# Dic?}} \newline  \newline {\bf{import}} pandas {\bf{as}} pd \newline file\_df = pd.read\_csv('file.csv', index\_col=False, header=0); {\bf{\# Data Frame}}} \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}{Data Types}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{Dictionary}} \newline dictionary = \{\} \newline key = 'abc' \newline value = '123' \newline dictionary{[}key{]} = value \newline for key in dictionary: \newline     print(dictionary{[}key{]}) \newline \{\{fa-television\}\} {\emph{123}} \newline  \newline for key, value in dictionary.items(): \newline     print(key) \newline     print(value) \newline \{\{fa-television\}\} {\emph{abc}} \newline \{\{fa-television\}\} {\emph{123}} \newline  \newline {\bf{Set}} \newline uniq\_dataset = set() \newline uniq\_dataset.add('A') \newline uniq\_dataset.add('A') \newline uniq\_dataset.add('B') \newline print(uniq\_dataset) \newline \{\{fa-television\}\} {\emph{\{'A', 'B'\}}}} \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}{Panda Series}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{import pandas as pd \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline s1 = pd.Series({[}1, 2, 3, 4{]},  \newline                index={[}'a', 'b', 'c', 'd'{]}) \newline s2 = pd.Series({[}10, 20, 30, 40{]}, \newline                index={[}'b', 'd', 'a', 'c'{]}) \newline print s1 + s2 \newline  \newline a    31 \newline b    12 \newline c    43 \newline d    24 \newline dtype: int64 \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline {\emph{Obs: NaN if the index does not exists for both}} \newline res = s1 + s2 \newline res.dropna() \newline {\emph{or}} \newline s1.add(s2,fill\_value=0) \newline -{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}-{}- \newline s = pd.Series({[}1, 2, 3, 4, 5{]}) \newline     def add\_three(x): \newline         return x + 3 \newline     print s.apply(add\_three) \newline 	 \newline 4 5 6 7 8} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{1.44333 cm} x{3.53367 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Indexes and Slices}}  \tn
% Row 0
\SetRowColor{LightBackground}
len(a) & 6 \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
a{[}0{]} & 0 \tn 
% Row Count 2 (+ 1)
% Row 2
\SetRowColor{LightBackground}
a{[}5{]} & 5 \tn 
% Row Count 3 (+ 1)
% Row 3
\SetRowColor{white}
a{[}-1{]} & 5 \tn 
% Row Count 4 (+ 1)
% Row 4
\SetRowColor{LightBackground}
a{[}-2{]} & 4 \tn 
% Row Count 5 (+ 1)
% Row 5
\SetRowColor{white}
a{[}1:{]} & {[}1,2,3,4,5{]} \tn 
% Row Count 6 (+ 1)
% Row 6
\SetRowColor{LightBackground}
a{[}:5{]} & {[}0,1,2,3,4{]} \tn 
% Row Count 7 (+ 1)
% Row 7
\SetRowColor{white}
a{[}:-2{]} & {[}0,1,2,3{]} \tn 
% Row Count 8 (+ 1)
% Row 8
\SetRowColor{LightBackground}
a{[}1:3{]} & {[}1,2{]} \tn 
% Row Count 9 (+ 1)
% Row 9
\SetRowColor{white}
a{[}1:-1{]} & {[}1,2,3,4{]} \tn 
% Row Count 10 (+ 1)
% Row 10
\SetRowColor{LightBackground}
b=a{[}:{]} & Shallow copy of a \tn 
% Row Count 11 (+ 1)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{Indexes and Slices of a={[}0,1,2,3,4,5{]}}  \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}{XML}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{import}} xml.etree.ElementTree {\bf{as}} ET \newline tree = \seqsplit{ET.parse('country\_data.xml')} \newline root = tree.getroot() {\bf{\# First tag}} \newline  \newline {\bf{for}} child {\bf{in}} root: \newline      {\bf{print}} child.tag, child.attrib \newline 	  \newline {\bf{print}} root{[}0{]}{[}1{]}.text \newline  \newline {\bf{for}} country {\bf{in}} root.findall('country'): \newline     rank = \seqsplit{country.find('rank').text} \newline     name = country.get('name') \newline     {\bf{print}} name, rank \newline  \newline {\emph{\textless{}au id="A1" ca="yes"\textgreater{}}} \newline     {\emph{\textless{}snm\textgreater{}Mei-Dan\textless{}/snm\textgreater{}}} \newline     {\emph{\textless{}fnm\textgreater{}Omer\textless{}/fnm\textgreater{}}} \newline     {\emph{\textless{}insr iid="I1"/\textgreater{}}} \newline     {\emph{\textless{}insr iid="I2"/\textgreater{}}} \newline     {\emph{\textless{}email\textgreater{}omer@extremegate.com\textless{}/email\textgreater{}}} \newline {\emph{\textless{}/au\textgreater{}	}} \newline  \newline {\bf{for}} author {\bf{in}} \seqsplit{root.findall('./fm/bibl/aug/au'):} \newline 	 insr = {[}{]} \newline     {\bf{for}} i {\bf{in}} \seqsplit{author.findall('./insr'):} \newline         \seqsplit{insr.append(i.get('iid'))} \newline         {\bf{\#insr.append(i.attrib{[}"iid"{]})}} \newline 			 \newline     data = \{ \newline         "fnm": \seqsplit{author.find('./fnm').text}, \newline         "snm": \seqsplit{author.find('./snm').text}, \newline         "email": \seqsplit{author.find('./email').text}, \newline         "insr": insr \newline     \}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\seqsplit{https://docs.python.org/2/library/xml.etree.elementtree.html}}  \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}{HTML Requests}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{from bs4 import BeautifulSoup \newline import requests \newline  \newline html\_page = "page\_source.html" \newline  \newline with open(page) as fp: \newline     soup = BeautifulSoup(fp, "lxml") \newline          \newline r = \seqsplit{requests.post("http://www.transtats.bts.gov/} \newline Data\_Elements.aspx?Data=2", \newline   data=\{'AirportList': "BOS", \newline     'CarrierList': "VX", \newline     'Submit': 'Submit', \newline     "\_\_EVENTTARGET": "", \newline     "\_\_EVENTARGUMENT": "", \newline     "\_\_EVENTVALIDATION": \seqsplit{soup.find(id="\_\_EVENTVALIDATION")}, \newline     "\_\_VIEWSTATE": \seqsplit{soup.find(id="\_\_VIEWSTATE")} \newline   \}) \newline                      \newline print r.text} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\seqsplit{https://www.crummy.com/software/BeautifulSoup/bs4/doc/}}  \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}{Write to CSV}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{import}} csv \newline  \newline {\bf{with}} open("output.csv", "wb") {\bf{as}} f: \newline     writer = csv.writer(f) \newline     \seqsplit{writer.writerows(your\_list\_of\_lists)}} \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}{Dates}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{from datetime import datetime as dt \newline  \newline date\_str = '2017-04-19' \newline date\_dt = dt.strptime(date\_str, '\%Y-\%m-\%d') \newline  \newline print(date\_dt) \newline \{\{fa-television\}\} 2017-04-19 00:00:00 \newline  \newline dt.strptime(date\_str, \seqsplit{'\%Y-\%m-\%dT\%H:\%M:\%S\%z')} \newline  \newline datetime(2000, 1, 1)} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\seqsplit{https://docs.python.org/3/library/datetime.html\#strftime-and-strptime-behavior}}  \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}{If}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{if}} x {\bf{not in}} dictionary {\bf{and}} y != z: \newline ~~~print() \newline  \newline {\bf{if not}} x {\bf{or}} y \textgreater{} 7: \newline ~~~print() \newline  \newline {\bf{if}} x \textless{}= y \textless{}= z: \newline ~~~print() \newline  \newline {\bf{if}} "a" {\bf{in}} "abc": \newline ~~~print()} \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}{Loops}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{for i in range(list.size): \newline  \newline for e in list: \newline  \newline {\bf{\# Iterate through two lists in parallel}} \newline {\bf{\# zip stops when the shorter of foo or bar stops}} \newline for a,b in list(zip(foo,bar)):} \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}{Lists - General}}  \tn
% Row 0
\SetRowColor{LightBackground}
list = {[}{]} & new list \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
list.append('shemp') & appendat end \tn 
% Row Count 2 (+ 1)
% Row 2
\SetRowColor{LightBackground}
list.insert(0, 'xxx') & insert at index 0 \tn 
% Row Count 3 (+ 1)
% Row 3
\SetRowColor{white}
print list.index('curly') & 2 \tn 
% Row Count 5 (+ 2)
% Row 4
\SetRowColor{LightBackground}
list.extend({[}'yyy', 'zzz'{]}) & list of elems at end \tn 
% Row Count 7 (+ 2)
% Row 5
\SetRowColor{white}
list.remove('curly') & search and remove \tn 
% Row Count 8 (+ 1)
% Row 6
\SetRowColor{LightBackground}
list.pop(1) & remove and return \tn 
% Row Count 9 (+ 1)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{List of Dictionaries}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{people = {[} \newline     \{'name': "Tom", 'age': 10\}, \newline     \{'name': "Mark", 'age': 5\}, \newline     \{'name': "Pam", 'age': 7\} \newline {]} \newline  \newline list(filter(lambda person: person{[}'name'{]} == 'Pam', people)) \newline \{\{fa-television\}\} {[}\{'age': 7, 'name': 'Pam'\}{]} \newline  \newline people{[}1{]}{[}'name'{]} \newline \{\{fa-television\}\} Mark} \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}{Dictionary of Lists}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{from}} collections {\bf{import}} defaultdict \newline  \newline s = {[}('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1){]} \newline d = defaultdict(list) \newline {\bf{for}} k, v {\bf{in}} s: \newline     d{[}k{]}.append(v) \newline  \newline d.items() \newline \{\{fa-television\}\} {[}('blue', {[}2, 4{]}), ('red', {[}1{]}), ('yellow', {[}1, 3{]}){]}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{The idea is to group the values by the keys}  \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}{Matplotlib}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{data = {[}1, 2, 1, 3, 3, 1, 4, 2{]} \newline  \newline import matplotlib.pyplot as plt \newline plt.hist(data) \newline  \newline {\bf{To show it:}} \newline \%matplotlib inline {\emph{(for notebooks)}} \newline or \newline plt.show()} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\seqsplit{https://matplotlib.org/users/pyplot\_tutorial.html}}  \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}{Statistics}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{\#Correlation}} \newline std\_x = (x - x.mean()) / x.std(ddof=0) \newline std\_y = (y - y.mean()) / y.std(ddof=0) \newline correlation = (std\_x * std\_y).mean() \newline {\bf{\#By default, Pandas' std() function computes the standard deviation using Bessel's correction. Calling std(ddof=0) ensures that Bessel's correction will not be used. NumPy's corrcoef() function can be used to calculate Pearson's r, also known as the correlation coefficient.}}} \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}{Excel Files}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{import}} xlrd \newline datafile = "file.xls" \newline  \newline workbook = \seqsplit{xlrd.open\_workbook(datafile)} \newline sheet = \seqsplit{workbook.sheet\_by\_index(0)} \newline  \newline sheet\_data = {[}{[}sheet.cell\_value(r, col) {\bf{for}} col {\bf{in}} range(sheet.ncols){]} {\bf{for}} r {\bf{in}} range(sheet.nrows){]} \newline  \newline {\bf{\# (column, line)}} \newline sheet.cell\_type(3, 2) \newline sheet.cell\_value(3, 2) \newline {\bf{\# (column, start\_line, end\_line)}} \newline sheet.col\_values(3, start\_rowx=1, end\_rowx=4) \newline  \newline sheet.ncols \newline  \newline xlrd.xldate\_as\_tuple(cell\_in\_exceltime, 0)} \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}{Pretty Print}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{import}} pprint \newline pprint.pprint(stuff)} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\seqsplit{https://docs.python.org/3/library/pprint.html}}  \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}{Map, Filter and Reduce}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{\#Map}} \newline map(function\_to\_apply, list\_of\_inputs) \newline map(float, list) {\bf{\#Convert all in list to float}}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\seqsplit{http://book.pythontips.com/en/latest/map\_filter.html}}  \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}{JSON requests (WS)}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{import}} json \newline {\bf{import}} requests \newline  \newline BASE\_URL = \seqsplit{"http://musicbrainz.org/ws/2/"} \newline ARTIST\_URL = BASE\_URL + "artist/" \newline  \newline params{[}"fmt"{]} = "json" \newline params{[}"query"{]} = "artist:Avril" \newline  \newline r = requests.get(url + uid, params) \newline {\bf{print}} r.json()} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\seqsplit{http://docs.python-requests.org/en/master/user/quickstart/}}  \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}{Pkg}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{!pip install \textless{}link\textgreater{}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}


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

\end{document}