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% Document Info
\author{Lavanya-M22}
\pdfinfo{
  /Title (numpy.pdf)
  /Creator (Cheatography)
  /Author (Lavanya-M22)
  /Subject (NumPy Cheat Sheet)
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\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{C}
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    {\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}{Lavanya-M22} via \textcolor{DarkBackground}{\uline{cheatography.com/138231/cs/29097/}}}
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  \mymulticolumn{2}{p{5.377cm}}{\bf\textcolor{white}{Cheatographer}}  \\
  \vspace{-2pt}Lavanya-M22 \\
  \uline{cheatography.com/lavanya-m22} \\
  \end{tabulary}
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Published 11th September, 2021.\\
   Updated 12th September, 2021.\\
   Page {\thepage} of \pageref{LastPage}.
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  %\includegraphics[width=48px,height=48px]{dave.jpeg}
  Measure your website readability!\\
  www.readability-score.com
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\begin{document}
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\begin{multicols*}{2}

\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Why NumPy?}}  \tn
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{NumPy is an open-source numerical Python library used for working with arrays. It aims to provide an {\bf{array object that is upto 50x faster than traditional python list takes significantly less amount of memory as compared to python lists}}.% Row Count 5 (+ 5)
} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{How to Install Numpy}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{pip install numpy  \newline {\emph{or}} \newline conda install numpy} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
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\begin{tabularx}{8.4cm}{X}
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\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Importing Library}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{{\bf{import}}  {\emph{numpy}}  {\bf{as}}  {\emph{np}}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{x{3.12 cm} x{4.88 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{8.4cm}}{\bf\textcolor{white}{Attributes of ndarray}}  \tn
% Row 0
\SetRowColor{LightBackground}
\{\{nobreak\}\}ndarray.shape & Tuple of array shape \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
ndarray.ndim & Number of array dimensions as interger \tn 
% Row Count 4 (+ 2)
% Row 2
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ndarray.size & Number of elements in the array \tn 
% Row Count 6 (+ 2)
% Row 3
\SetRowColor{white}
ndarray,dtype & Data type of array's elements \tn 
% Row Count 8 (+ 2)
% Row 4
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ndarray.base & To check if object has its own memory \tn 
% Row Count 10 (+ 2)
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\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{x{1.6 cm} x{6.4 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{8.4cm}}{\bf\textcolor{white}{Slicing}}  \tn
% Row 0
\SetRowColor{LightBackground}
arr{[}0{]} & Returns the element at index 0 \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
arr{[}1,2{]} & Returns  array element on index {[}1{]}{[}2{]} \tn 
% Row Count 3 (+ 2)
% Row 2
\SetRowColor{LightBackground}
arr{[}0:3{]} & Returns the elements at indices on outer dimension \tn 
% Row Count 5 (+ 2)
% Row 3
\SetRowColor{white}
arr{[}0:3,2{]} & Returns the elements on rows 0,1,2 at column 2 \tn 
% Row Count 7 (+ 2)
% Row 4
\SetRowColor{LightBackground}
arr\textless{}n & Returns an array with boolean values \tn 
% Row Count 9 (+ 2)
% Row 5
\SetRowColor{white}
\textasciitilde{}arr & Returns an array with boolean values \tn 
% Row Count 11 (+ 2)
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\begin{tabularx}{8.4cm}{x{3.68 cm} x{4.32 cm} }
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\mymulticolumn{2}{x{8.4cm}}{\bf\textcolor{white}{Statistics\{\{fa-icons\}\}}}  \tn
% Row 0
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\{\{nobreak\}\}np.mean(arr,axis={\emph{0/1}}) & Compute the arithmetic mean along the specified axis. \tn 
% Row Count 3 (+ 3)
% Row 1
\SetRowColor{white}
arr.sum() & Sum of array elements over a given axis \tn 
% Row Count 5 (+ 2)
% Row 2
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arr.min() & Return the minimum along a given axis \tn 
% Row Count 7 (+ 2)
% Row 3
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arr.max() & Return the maximum along a given axis \tn 
% Row Count 9 (+ 2)
% Row 4
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np.var(arr) & Compute the variance along the specified axis \tn 
% Row Count 12 (+ 3)
% Row 5
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np.std(arr) & Compute the standard deviation along the specified axis. \tn 
% Row Count 15 (+ 3)
% Row 6
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arr.corrcoef() & Return Pearson product-moment correlation coefficients \tn 
% Row Count 18 (+ 3)
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\begin{tabularx}{8.4cm}{x{3.92 cm} x{4.08 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{8.4cm}}{\bf\textcolor{white}{Creating Arrays}}  \tn
% Row 0
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np.array(object) & Creates an array \tn 
% Row Count 1 (+ 1)
% Row 1
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np.array({[}1,2,3{]}) & 1D array \tn 
% Row Count 2 (+ 1)
% Row 2
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\{\{nobreak\}\}np.array({[}(1,2,3),(4,5,6){]}) & 2D array \tn 
% Row Count 4 (+ 2)
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np.zeros(shape) & Return a new array of given shape and type, filled with zeros \tn 
% Row Count 8 (+ 4)
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np.ones(shape) & Return a new array of given shape and type, filled with ones \tn 
% Row Count 11 (+ 3)
% Row 5
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\{\{nobreak\}\}np.eye(no. of rows) & Return a 2-D array with ones on the diagonal and zeros elsewhere \tn 
% Row Count 15 (+ 4)
% Row 6
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np.arange(start,stop,step) & Return evenly spaced values within a given interval. \tn 
% Row Count 18 (+ 3)
% Row 7
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\seqsplit{np.random.rand(shape)} & Return array of random floats between 0–1 of fiven shape \tn 
% Row Count 21 (+ 3)
% Row 8
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\{\{nobreak\}\}np.random.randint(low,high) & Return random integers from low (inclusive) to high (exclusive) \tn 
% Row Count 25 (+ 4)
% Row 9
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\{\{nobreak\}\}np.linspace(start, stop, n) & Returns n evenly spaced numbers over a specified interval \tn 
% Row Count 28 (+ 3)
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\begin{tabularx}{8.4cm}{x{2.96 cm} x{5.04 cm} }
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\mymulticolumn{2}{x{8.4cm}}{\bf\textcolor{white}{commonly used methods}}  \tn
% Row 0
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np.sort(arr) & Returns a sorted copy of the array \tn 
% Row Count 2 (+ 2)
% Row 1
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\seqsplit{np.argsort(arr)} & Returns the indices that would sort an array \tn 
% Row Count 4 (+ 2)
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np.resize(a, new\_shape) & Return a new array with the specified shape \tn 
% Row Count 6 (+ 2)
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np.dot(arr1, arr2) & Dot product of two arrays \tn 
% Row Count 8 (+ 2)
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arr.copy() & Returns a copy of the array \tn 
% Row Count 10 (+ 2)
% Row 5
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arr.view() & New view of array with the same data \tn 
% Row Count 12 (+ 2)
% Row 6
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arr.flatten() & Return a copy of the array collapsed into 1D \tn 
% Row Count 14 (+ 2)
% Row 7
\SetRowColor{white}
\seqsplit{arr.reshape(new\_shape)} & Returns an array containing the same data with a new shape \tn 
% Row Count 17 (+ 3)
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\begin{tabularx}{8.4cm}{x{3.76 cm} x{4.24 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{8.4cm}}{\bf\textcolor{white}{Math operators}}  \tn
% Row 0
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\{\{nobreak\}\}np.add(arr\_1, arr\_2) & Add arguments element-wise \tn 
% Row Count 2 (+ 2)
% Row 1
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\{\{nobreak\}\}np.subtract(arr\_1, arr\_2) & Subtract arguments, element-wise \tn 
% Row Count 4 (+ 2)
% Row 2
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\{\{nobreak\}\}np.multiply(arr\_1, arr\_2) & Multiply arguments, element-wise \tn 
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\{\{nobreak\}\}np.divide(arr\_1, arr\_2) & Divide arguments, element-wise \tn 
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\{\{nobreak\}\}np.power(arr\_1, arr\_2) & First array elements raised to powers from second array, element-wise \tn 
% Row Count 12 (+ 4)
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np.sqrt(arr) & Return the non-negative square-root of an array, element-wise \tn 
% Row Count 15 (+ 3)
% Row 6
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np.log(arr) & Natural logarithm, element-wise \tn 
% Row Count 17 (+ 2)
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np.ceil(arr) & Rounds up to the nearest int , element-wise \tn 
% Row Count 20 (+ 3)
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np.floor(arr) & Rounds down to the nearest int ,element-wise \tn 
% Row Count 23 (+ 3)
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np.abs(arr) & Absolute value of each element in the array \tn 
% Row Count 26 (+ 3)
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np.round(arr) & Rounds to the nearest int \tn 
% Row Count 28 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
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\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Useful  links}}  \tn
% Row 0
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\mymulticolumn{1}{x{8.4cm}}{\{\{link="https://numpy.org/doc/stable/index.html"\}\}NumPy Official documenataion\{\{/link\}\}} \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{\{\{popup="https://www.w3schools.com/python/numpy/default.asp"\}\}w3schools NumPy Tutorial\{\{/popup\}\}} \tn 
% Row Count 4 (+ 2)
% Row 2
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\mymulticolumn{1}{x{8.4cm}}{\{\{popup="https://betterprogramming.pub/numpy-illustrated-the-visual-guide-to-numpy-3b1d4976de1d"\}\}NumPy Illustrated: The Visual Guide to NumPy\{\{/popup\}\}} \tn 
% Row Count 8 (+ 4)
% Row 3
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\mymulticolumn{1}{x{8.4cm}}{\{\{link="https://scipy-lectures.org/intro/numpy/index.html"\}\}NumPy: creating and manipulating numerical data\{\{/link\}\}} \tn 
% Row Count 11 (+ 3)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}


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

\end{document}