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% Document Info
\author{issambd}
\pdfinfo{
  /Title (importing-data-in-python-i.pdf)
  /Creator (Cheatography)
  /Author (issambd)
  /Subject (Importing Data in Python I 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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\columnbreak
\begin{tabulary}{11cm}{L}
    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{Importing Data in Python I Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{issambd} via \textcolor{DarkBackground}{\uline{cheatography.com/88527/cs/20287/}}}
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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}issambd \\
  \uline{cheatography.com/issambd} \\
  \end{tabulary}
\vfill
\columnbreak
\begin{tabulary}{5.8cm}{L}
  \SetRowColor{FootBackground}
  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Published 16th August, 2019.\\
   Updated 16th August, 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}
\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{2.23965 cm} x{2.73735 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Importing Text Files I}}  \tn
% Row 0
\SetRowColor{LightBackground}
`open(file\_name, 'r')` & open the file \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
`file.read()` & read the file \tn 
% Row Count 3 (+ 1)
% Row 2
\SetRowColor{LightBackground}
`file.close()` & close the file \tn 
% Row Count 4 (+ 1)
% Row 3
\SetRowColor{white}
`file.closed()` & check if the file is closed \tn 
% Row Count 6 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{It is a good practice to close the file after reading it when using 'open'}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{3.23505 cm} x{1.74195 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Importing Text Files II}}  \tn
% Row 0
\SetRowColor{LightBackground}
`with open(file\_name) as file :` & open the file \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
`file.read()` & read the file \tn 
% Row Count 3 (+ 1)
% Row 2
\SetRowColor{LightBackground}
file.readline() & read line by line \tn 
% Row Count 5 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{When using the 'with' statement there is no need to close the file}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.53827 cm} x{2.43873 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Importing Flat Files with Numpy I}}  \tn
% Row 0
\SetRowColor{LightBackground}
`import numpy as np` & import numpy \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
\seqsplit{`np.loadtxt(file\_name}, delimiter= ' ')` & importing the file \tn 
% Row Count 3 (+ 2)
% Row 2
\SetRowColor{LightBackground}
`skiprows=1` & argument to skip a specific row \tn 
% Row Count 5 (+ 2)
% Row 3
\SetRowColor{white}
`usecols={[}0, 2{]}` & argument to only show specific columns \tn 
% Row Count 7 (+ 2)
% Row 4
\SetRowColor{LightBackground}
`dtype = str' & argument to import the data as string \tn 
% Row Count 9 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{loadtxt only works with numeric data}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{3.73275 cm} x{1.24425 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Importing Flat Files with Numpy II}}  \tn
% Row 0
\SetRowColor{LightBackground}
`import numpy as np` & import numpy \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
`np.recfromcsv(file, delimiter=",", names=True, dtype=None)` & open the file \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
`np.genfromtxt(file, delimiter=',', names=True, dtype=None)` & open the file \tn 
% Row Count 6 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{with the functions recfromcsv() and genfromtxt() we are able to import data with different types}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{3.03597 cm} x{1.94103 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Importing Stata Files}}  \tn
% Row 0
\SetRowColor{LightBackground}
`import pandas as pd` & importing pandas \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
`df = \seqsplit{pd.read\_stata('disarea.dta')`} & reading the stata file \tn 
% Row Count 4 (+ 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}{Importing Flat Files With Pandas}}  \tn
% Row 0
\SetRowColor{LightBackground}
`import pandas as pd` & import pandas \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
\seqsplit{`pd.read\_csv(file)`} & open csv file \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
`nrows=5` & argument for the number of rows to load \tn 
% Row Count 6 (+ 2)
% Row 3
\SetRowColor{white}
\seqsplit{`header=None`} & argument for no header \tn 
% Row Count 7 (+ 1)
% Row 4
\SetRowColor{LightBackground}
`sep='\textbackslash{}t'` & argument to set delimiter \tn 
% Row Count 8 (+ 1)
% Row 5
\SetRowColor{white}
\seqsplit{`comment='\#'`} & argument takes characters that comments occur after in the file \tn 
% Row Count 11 (+ 3)
% Row 6
\SetRowColor{LightBackground}
\seqsplit{`na\_values='Nothing'`} & argument to recognize a string as a NaN Value \tn 
% Row Count 13 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
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\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{3.38436 cm} x{1.59264 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Import pickled files}}  \tn
% Row 0
\SetRowColor{LightBackground}
`import pickle` & import the library \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
`with open(file\_name, 'rb') as file :` & open file \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
`pickle.load(file)` & read file \tn 
% Row Count 5 (+ 1)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.38896 cm} x{2.58804 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Importing Spreadsheet Files}}  \tn
% Row 0
\SetRowColor{LightBackground}
`import pandas as pd` & importing pandas \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
\seqsplit{`pd.ExcelFile(file)`} & opening the file \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
`xl.sheet\_names` & exporting the sheet names \tn 
% Row Count 6 (+ 2)
% Row 3
\SetRowColor{white}
\seqsplit{`xl.parse(sheet\_name/index)`} & loading a sheet to a dataframe \tn 
% Row Count 8 (+ 2)
% Row 4
\SetRowColor{LightBackground}
`skiprows={[}index{]}` & skipping a specific row \tn 
% Row Count 10 (+ 2)
% Row 5
\SetRowColor{white}
`names={[}List of Names{]}` & naming the sheet's columns \tn 
% Row Count 12 (+ 2)
% Row 6
\SetRowColor{LightBackground}
`usecols={[}0,{]}` & parse spesific columns \tn 
% Row Count 14 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{skiprows, names and useclos are all arguments of the function parse()}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.78712 cm} x{2.18988 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Importing SAS Files}}  \tn
% Row 0
\SetRowColor{LightBackground}
`from sas7bdat import SAS7BDAT` & importing sas7bdat library \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
`import pandas as pd` & importing pandas \tn 
% Row Count 3 (+ 1)
% Row 2
\SetRowColor{LightBackground}
`with \seqsplit{SAS7BDAT('file\_name')} as file:` & opening the file \tn 
% Row Count 5 (+ 2)
% Row 3
\SetRowColor{white}
\seqsplit{`file.to\_data\_frame()`} & loading the file as dataframe \tn 
% Row Count 7 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.28942 cm} x{2.68758 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Importing HDF5 files}}  \tn
% Row 0
\SetRowColor{LightBackground}
`import numpy as np` & import numpy \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
`import h5py` & importing the h5py library \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
`h5py.File(file, 'r')` & reading the file \tn 
% Row Count 6 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{3.08574 cm} x{1.89126 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Importing MATLAB files}}  \tn
% Row 0
\SetRowColor{LightBackground}
`import scipy.io` & importing scipy.io \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
\seqsplit{`cipy.io.loadmat('file\_name')`} & reading the file \tn 
% Row Count 4 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.78712 cm} x{2.18988 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Relational databases  I}}  \tn
% Row 0
\SetRowColor{LightBackground}
`import pandas as pd` & importing pandas \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
`from sqlalchemy import create\_engine` & importing the necessary library \tn 
% Row Count 3 (+ 2)
% Row 2
\SetRowColor{LightBackground}
`engine = \seqsplit{create\_engine('databasetype:///name}.databasetype')` & creating an engine \tn 
% Row Count 6 (+ 3)
% Row 3
\SetRowColor{white}
`con = engine.connect()` & connecting to the engine \tn 
% Row Count 8 (+ 2)
% Row 4
\SetRowColor{LightBackground}
`rs = con.execute('SELECT * FROM Album')` & performe query \tn 
% Row Count 10 (+ 2)
% Row 5
\SetRowColor{white}
`df = \seqsplit{pd.DataFrame(rs.fetchall())`} & save as a dataframe \tn 
% Row Count 12 (+ 2)
% Row 6
\SetRowColor{LightBackground}
`df.columns = rs.keys` & set columns names \tn 
% Row Count 13 (+ 1)
% Row 7
\SetRowColor{white}
`con.close()` & close the connection \tn 
% Row Count 15 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{The best practice is to close the connection}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.63781 cm} x{2.33919 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Relational databases  II}}  \tn
% Row 0
\SetRowColor{LightBackground}
`engine = \seqsplit{create\_engine('databasetype:///name}.databasetype')` & creating an engine \tn 
% Row Count 3 (+ 3)
% Row 1
\SetRowColor{white}
`with engine.connect() as con:` & connecting to the engine \tn 
% Row Count 5 (+ 2)
% Row 2
\SetRowColor{LightBackground}
`rs = con.execute('sql code')` & performe query \tn 
% Row Count 7 (+ 2)
% Row 3
\SetRowColor{white}
`df = \seqsplit{pd.DataFrame(rs.fetchmany(size=3))`} & load a number of rows as a dataframe \tn 
% Row Count 9 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{With 'open' you don't have to close the connection at the end}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{3.43413 cm} x{1.54287 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Relational databases  III}}  \tn
% Row 0
\SetRowColor{LightBackground}
`engine = \seqsplit{create\_engine('databasetype:///name}.databasetype')` & creating an engine \tn 
% Row Count 3 (+ 3)
% Row 1
\SetRowColor{white}
`df = pd.read\_sql\_query('SQL code', engine)` & performe query \tn 
% Row Count 5 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{Fastest way to connect to a database and perform query}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}


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

\end{document}