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% Most of the following are not required for the majority
% of cheat sheets but are needed for some symbol support.
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% Document Info
\author{datamansam}
\pdfinfo{
  /Title (numpy-crib.pdf)
  /Creator (Cheatography)
  /Author (datamansam)
  /Subject (Numpy Crib Cheat Sheet)
}

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\fancyhead[L]{
\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{C}
    \SetRowColor{DarkBackground}
    \vspace{-7pt}
    {\parbox{\dimexpr\textwidth-2\fboxsep\relax}{\noindent
        \hspace*{-6pt}\includegraphics[width=5.8cm]{/web/www.cheatography.com/public/images/cheatography_logo.pdf}}
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\begin{tabulary}{11cm}{L}
    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{Numpy Crib Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{datamansam} via \textcolor{DarkBackground}{\uline{cheatography.com/139410/cs/29575/}}}
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\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{LL}
  \SetRowColor{FootBackground}
  \mymulticolumn{2}{p{5.377cm}}{\bf\textcolor{white}{Cheatographer}}  \\
  \vspace{-2pt}datamansam \\
  \uline{cheatography.com/datamansam} \\
  \end{tabulary}
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\begin{tabulary}{5.8cm}{L}
  \SetRowColor{FootBackground}
  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Published 23rd November, 2021.\\
   Updated 23rd November, 2021.\\
   Page {\thepage} of \pageref{LastPage}.
\end{tabulary}
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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
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\end{multicols}}




\begin{document}
\raggedright
\raggedcolumns

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% 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{2.4885 cm} x{2.4885 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Numpy - Single dimensional arrays}}  \tn
% Row 0
\SetRowColor{LightBackground}
Creating an array from a list & x = np.array({[}'a', 'b', '9', '8'{]} \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
Array Data Types & Consist of integers, floating-point numbers, or strings. Data type must be consistent. Numpy's record array  gives mixed DTypes \tn 
% Row Count 9 (+ 7)
% Row 2
\SetRowColor{LightBackground}
Find the length on an array & np.len(x) \tn 
% Row Count 11 (+ 2)
% Row 3
\SetRowColor{white}
Accessing elements from an array & x{[}index\_num{]} {\emph{x{[}1{]}}} \tn 
% Row Count 13 (+ 2)
% Row 4
\SetRowColor{LightBackground}
Assign elements from index & {\emph{x{[}1{]}=c}} \tn 
% Row Count 15 (+ 2)
% Row 5
\SetRowColor{white}
Slicing   x{[}start:end{]}) & print(x{[}1:2{]})  {\emph{{[}'b', '9'{]}}} \tn 
% Row Count 17 (+ 2)
% Row 6
\SetRowColor{LightBackground}
Slicing   x{[}start:end: step{]}) & print(x{[}1:3:2{]})  {\emph{{[}'b', '8'{]}}} \tn 
% Row Count 19 (+ 2)
% Row 7
\SetRowColor{white}
Modify a new version of an array without changing the original & y = x.copy() \tn 
% Row Count 23 (+ 4)
% Row 8
\SetRowColor{LightBackground}
Negative slices, single value   x{[}-Distance from end{]} & x{[}-2{]} {\emph{b}} \tn 
% Row Count 26 (+ 3)
% Row 9
\SetRowColor{white}
Negative slices, reversal   x{[}start:end:  -step{]}) & x{[}3:0:-2{]}) {\emph{8, b}} \tn 
% Row Count 29 (+ 3)
% Row 10
\SetRowColor{LightBackground}
Adding to an array & x.append('7') \tn 
% Row Count 30 (+ 1)
\end{tabularx}
\par\addvspace{1.3em}

\vfill
\columnbreak
\begin{tabularx}{5.377cm}{x{2.4885 cm} x{2.4885 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Numpy - Single dimensional arrays (cont)}}  \tn
% Row 11
\SetRowColor{LightBackground}
Saving to binary file & \seqsplit{np.save(open('data.npy'}, 'wb'), data) \tn 
% Row Count 2 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{1.69218 cm} x{3.28482 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Useful Numpy Functions}}  \tn
% Row 0
\SetRowColor{LightBackground}
Array Creation: & arange, array, copy, empty, empty\_like, eye, fromfile, fromfunction, identity, linspace, logspace, mgrid, ogrid, ones, ones\_like, r\_, zeros, zeros\_like \tn 
% Row Count 6 (+ 6)
% Row 1
\SetRowColor{white}
Conversions & ndarray.astype, atleast\_1d, atleast\_2d, atleast\_3d, mat \tn 
% Row Count 9 (+ 3)
% Row 2
\SetRowColor{LightBackground}
\seqsplit{Manipulations:} & array\_split, column\_stack, concatenate, diagonal, dsplit, dstack, hsplit, hstack, ndarray.item, newaxis, ravel, repeat, reshape, resize, squeeze, swapaxes, take, transpose, vsplit, vstack \tn 
% Row Count 17 (+ 8)
% Row 3
\SetRowColor{white}
Questions: & all, any, nonzero, where \tn 
% Row Count 18 (+ 1)
% Row 4
\SetRowColor{LightBackground}
Ordering: & argmax, argmin, argsort, max, min, ptp, searchsorted, sort \tn 
% Row Count 21 (+ 3)
% Row 5
\SetRowColor{white}
Operations: & choose, compress, cumprod, cumsum, inner, ndarray.fill, imag, prod, put, putmask, real, sum \tn 
% Row Count 25 (+ 4)
% Row 6
\SetRowColor{LightBackground}
Basic Statistics: & cov, mean, std, var \tn 
% Row Count 27 (+ 2)
% Row 7
\SetRowColor{white}
Basic Linear Algebra: & cross, dot, outer, linalg.svd, vdot \tn 
% Row Count 29 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{1.84149 cm} x{3.13551 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Combining Arrays}}  \tn
% Row 0
\SetRowColor{LightBackground}
np.vtack((a1, a2) = & np.concatenate((a1, a2, axis = 0) \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
np.hstack(a1,a2) = & np.concatenate((a1, a2, axis = 1) \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
vsplit & splits along the vertical axis \tn 
% Row Count 6 (+ 2)
% Row 3
\SetRowColor{white}
hsplit & splits along the horizontal axis \tn 
% Row Count 8 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.4885 cm} x{2.4885 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Universal Functions (ufuncts)}}  \tn
% Row 0
\SetRowColor{LightBackground}
Implement vectorization (operations applied to whole arrays instead of individual elements) in NumPy which is way faster than iterating over elements. & Also provide broadcasting (when smaller array is cast across the larger array so that they have compatible shapes) \tn 
% Row Count 8 (+ 8)
% Row 1
\SetRowColor{white}
x = {[}1, 2, 3, 4{]} y = {[}4, 5, 6, 7{]} z = np.add(x, y) & {[} 5  7  9 11{]} \tn 
% Row Count 11 (+ 3)
% Row 2
\SetRowColor{LightBackground}
Check if a function is a ufunc: & print(type(np.add)) \tn 
% Row Count 13 (+ 2)
% Row 3
\SetRowColor{white}
arr1 = np.array({[}10, 20, 30, 40, 50, 60{]}) & arr2 = np.array({[}20, 21, 22, 23, 24, 25{]}) \tn 
% Row Count 16 (+ 3)
% Row 4
\SetRowColor{LightBackground}
np.subtract(arr1, arr2) & newarr = np.multiply(arr1, arr2) \tn 
% Row Count 18 (+ 2)
% Row 5
\SetRowColor{white}
newarr = np.divide(arr1, arr2) & newarr = np.power(arr1, arr2) \tn 
% Row Count 20 (+ 2)
% Row 6
\SetRowColor{LightBackground}
newarr = np.remainder(arr1, arr2) & newarr = np.absolute(arr) \tn 
% Row Count 22 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.4885 cm} x{2.4885 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Iterating}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{arr = np.array({[}{[}1, 2, 3{]}, {[}4, 5, 6{]}{]})} \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
for x in arr:   print(x) & {[}1, 2, 3{]}, {[}4, 5, 6{]} \tn 
% Row Count 3 (+ 2)
% Row 2
\SetRowColor{LightBackground}
for x in arr:   for y in x:     print(y) & 123456 \tn 
% Row Count 5 (+ 2)
% Row 3
\SetRowColor{white}
for x in np.nditer(arr): & 123456 \tn 
% Row Count 7 (+ 2)
% Row 4
\SetRowColor{LightBackground}
for x in np.nditer(arr, flags={[}'buffered'{]}, op\_dtypes={[}'S'{]}):   print(x) & b '1', b'2', b'3' \tn 
% Row Count 11 (+ 4)
% Row 5
\SetRowColor{white}
for x in np.nditer(arr{[}:, ::2{]}):   print(x) & 1, 3, 5, 7 \tn 
% Row Count 14 (+ 3)
% Row 6
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{Enumeration means mentioning sequence number of somethings one by one.} \tn 
% Row Count 16 (+ 2)
% Row 7
\SetRowColor{white}
\mymulticolumn{2}{x{5.377cm}}{for idx, x in np.ndenumerate(arr):   print(idx, x)} \tn 
% Row Count 17 (+ 1)
% Row 8
\SetRowColor{LightBackground}
​ for idx, x in \seqsplit{np.ndenumerate(arr):}   print(idx, x) ​ ( & 0,) 1 (1,) 2 (2,) 3 \tn 
% Row Count 20 (+ 3)
% Row 9
\SetRowColor{white}
for idx, x in \seqsplit{np.ndenumerate(arr):}   print(idx, x) & Result Size: 1425 x 1251 import numpy as np ​ arr = np.array({[}{[}1, 2, 3, 4{]}, {[}5, 6, 7, 8{]}{]}) ​ for idx, x in \seqsplit{np.ndenumerate(arr):}   print(idx, x) ​ (0, 0) 1 (0, 1) 2 (0, 2) 3 (0, 3) 4 (1, 0) 5 (1, 1) 6 (1, 2) 7 (1, 3) 8 \tn 
% Row Count 32 (+ 12)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}


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

\end{document}