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% Document Info
\author{Justin1209 (Justin1209)}
\pdfinfo{
  /Title (numpy.pdf)
  /Creator (Cheatography)
  /Author (Justin1209 (Justin1209))
  /Subject (NumPy Cheat Sheet)
}

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\fancyhead[L]{
\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{C}
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    \vspace{-7pt}
    {\parbox{\dimexpr\textwidth-2\fboxsep\relax}{\noindent
        \hspace*{-6pt}\includegraphics[width=5.8cm]{/web/www.cheatography.com/public/images/cheatography_logo.pdf}}
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\begin{tabulary}{11cm}{L}
    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{NumPy Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{Justin1209 (Justin1209)} via \textcolor{DarkBackground}{\uline{cheatography.com/101982/cs/21247/}}}
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\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}Justin1209 (Justin1209) \\
  \uline{cheatography.com/justin1209} \\
  \end{tabulary}
\vfill
\columnbreak
\begin{tabulary}{5.8cm}{L}
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Published 28th November, 2019.\\
   Updated 18th December, 2019.\\
   Page {\thepage} of \pageref{LastPage}.
\end{tabulary}
\vfill
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Sponsor}}  \\
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  \vspace{-5pt}
  %\includegraphics[width=48px,height=48px]{dave.jpeg}
  Measure your website readability!\\
  www.readability-score.com
\end{tabulary}
\end{multicols}}




\begin{document}
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\begin{multicols*}{3}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Import Statement}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{import}} {\emph{numpy}} {\bf{as}} {\emph{np}}} \tn 
% Row Count 1 (+ 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}{Creating Arrays}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\# {\emph{Create a numpy array}} \newline array\_1 = np.{\bf{array}}({[}92, 94, 88, 91, 87{]}) \newline  \newline \# {\emph{Create a numpy array from a CSV}} \newline test\_2 = np.{\bf{genfromtxt}}('test\_2.csv', delimiter=',') \newline  \newline \# {\emph{Create a two-dimensional array}} \newline test\_1 = np.array({[}92, 94, 88, 91, 87{]}) \newline test\_2 = np.array({[}79, 100, 86, 93, 91{]}) \newline test\_3 = np.array({[}87, 85, 72, 90, 92{]}) \newline  \newline np.array({[}{[}92, 94, 88, 91, 87{]},  \newline           {[}79, 100, 86, 93, 91{]}, \newline           {[}87, 85, 72, 90, 92{]}{]})} \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}{Operations with Arrays}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{arr = {[}1, 2, 3, 4, 5{]} \newline  \newline \# {\bf{Adding 3 to each entry}} \newline \textgreater{}\textgreater{}\textgreater{} a = np.array(arr) \newline \textgreater{}\textgreater{}\textgreater{} a\_plus\_3 = a + 3 \newline  \newline \# {\bf{Adding arrays}} \newline \textgreater{}\textgreater{}\textgreater{} a = np.array({[}1, 2, 3, 4, 5{]}) \newline \textgreater{}\textgreater{}\textgreater{} b = np.array({[}6, 7, 8, 9, 10{]}) \newline \textgreater{}\textgreater{}\textgreater{} c = a + b \newline  \newline \# {\bf{Logical Operations}} \newline \textgreater{}\textgreater{}\textgreater{} a = np.array({[}10, 2, 2, 4, 5, 3, 9, 8, 9, 7{]}) \newline  \newline {\bf{\textgreater{}\textgreater{}\textgreater{} a \textgreater{} 5}} \newline array({[}True, False, False, False, False, False, True, True, True, True{]}, dtype=bool) \newline  \newline {\bf{\textgreater{}\textgreater{}\textgreater{} a{[}a \textgreater{} 5{]}}} \newline array({[}10, 9, 8, 9, 7{]}) \newline  \newline {\bf{\textgreater{}\textgreater{}\textgreater{} a{[}(a \textgreater{} 5) | (a \textless{} 2){]}}} \newline array({[}10, 9, 8, 9, 7{]}) \newline  \newline -\textgreater{} {\emph{c: array({[} 7,  9, 11, 13, 15{]})}}} \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}{Selecting from Arrays (1 Dimension)}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{a = np.array({[}5, 2, 7, 0, 11{]}) \newline  \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}0{]}}} \newline -\textgreater{} {\emph{5}} \newline  \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}-1{]}}} \newline -\textgreater{} {\emph{11}} \newline  \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}-2{]}}} \newline -\textgreater{} {\emph{0}}  \newline  \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}0:5:2{]}}} \newline -\textgreater{} {\emph{array({[}5, 7, 11{]}) \newline  \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}1:3{]}}} \newline -\textgreater{} }}array({[}2, 7{]}){\emph{ \newline  \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}:3{]}}} \newline -\textgreater{} }}array({[}5, 2, 7{]}){\emph{ \newline  \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}-3:{]}}} \newline -\textgreater{} }}array({[}7, 0, 11{]})*} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
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\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Selecting from Arrays (2 Dimensions)}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{-\textgreater{} {\bf{Basic Procedure}} {\emph{a{[}row,column{]}}} \newline  \newline a = np.array({[}{[}32, 15, 6, 9, 14{]},  \newline               {[}12, 10, 5, 23, 1{]}, \newline               {[}2, 16, 13, 40, 37{]}{]}) \newline  \newline \# selects the first column \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}:,0{]}}} \newline -\textgreater{} {\emph{array({[}32, 12,  2{]})}} \newline  \newline \# selects the second row \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}1,:{]}}} \newline -\textgreater{} {\emph{array({[}12, 10,  5, 23,  1{]})}} \newline  \newline \# selects the first three elements of the first row \newline \textgreater{}\textgreater{}\textgreater{} {\bf{a{[}0,0:3{]}}} \newline -\textgreater{} {\emph{array({[}32, 15,  6{]})}}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
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\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Selecting Elements}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{np.{\bf{count\_nonzero}}(poodle\_colors == "brown") \newline -\textgreater{} {\emph{returns the number of poodles with brown hair}}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
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\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Mean and Logical Operations (On arrays)}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{np.{\bf{mean}}(array \textgreater{} 8) \newline -\textgreater{} {\emph{returns the percentage of values in the array that meet the criteria}}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{We can use {\bf{np.mean}} to calculate the percent of array elements that have a certain property.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
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\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Mean over 2 Dimensional Arrays}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\textgreater{}\textgreater{}\textgreater{} ring\_toss = np.array({[}{[}1, 0, 0{]},  \newline                           {[}0, 0, 1{]},  \newline                           {[}1, 0, 1{]}{]}) \newline  \newline \textgreater{}\textgreater{}\textgreater{} np.{\bf{mean}}(ring\_toss) \newline 0.44 -\textgreater{} {\emph{Overall Average}} \newline  \newline \textgreater{}\textgreater{}\textgreater{} np.{\bf{mean}}(ring\_toss, {\bf{axis=1}}) \newline array({[} 0.33,  0.33,  0.67{]}) -\textgreater{} {\emph{Average per row}} \newline  \newline \textgreater{}\textgreater{}\textgreater{} np.{\bf{mean}}(ring\_toss, {\bf{axis=0}}) \newline array({[} 0.67,  0.        ,  0.67{]}) -\textgreater{} {\emph{Average per column}}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
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\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Dealing with Outliers}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\# {\bf{Sort the Dataset}} \newline np.{\bf{sort}}(array) \newline -\textgreater{} {\emph{Outliers are clearly visible now}}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
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\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Percentiles}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{d = np.array({[}1, 2, 3, 4, 4, 4, 6, 6, 7,  8, 8{]}) \newline np.{\bf{percentile}}(d, 40) \newline -\textgreater{} {\emph{4.00}}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
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\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Shape (dimensions) of an array}}  \tn
\SetRowColor{white}
\mymulticolumn{1}{x{5.377cm}}{The {\bf{.shape}} attribute for NumPy arrays returns the dimensions of the array. If array has n rows × m columns, then array.shape returns (n, m).% Row Count 3 (+ 3)
} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
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\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Generate Normal Distribution}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{\# {\bf{Generate own Normal Distribution Set}} \newline -\textgreater{} {\emph{np.random.normal(loc, scale, size)}} \newline {\bf{loc}}: the mean for the normal distribution \newline {\bf{scale}}: the standard deviation of the distribution \newline {\bf{size}}: the number of random numbers to generate} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{{\bf{68\%}} of our samples will fall between {\bf{+/- 1 standard deviation}} of the mean \newline  \newline {\bf{95\%}} of our samples will fall between {\bf{+/- 2 standard deviations}} of the mean \newline  \newline {\bf{99.7\%}} of our samples will fall between {\bf{+/- 3 standard deviations}} of the mean}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
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\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Binomial Distribution}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{np.{\bf{random.binomial}}{\emph{(N, P, size)}} \newline  \newline {\bf{N:}} The number of samples or trials \newline {\bf{P:}} The probability of success \newline {\bf{size:}} The number of experiments \newline  \newline \#{\bf{Basketball Example}} \newline  Let's generate 10,000 "experiments" \newline  N = 10 shots \newline  P = 0.30 (30\% he'll get a free throw) \newline -\textgreater{} a = np.{\bf{random.binomial}}{\emph{(10, 0.3, 10000)}} \newline  \newline \# {\emph{Probability that he makes 4 Shots:}} \newline prob = np.mean(a == 4)} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{The {\bf{binomial distribution}} can help us. It tells us {\bf{how likely}} it is for a {\bf{certain number of "successes"}} to happen, given a probability of success and a number of trials.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}


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

\end{document}