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lines changed Original file line number Diff line number Diff line change 770770\end {multicols* }
771771
772772\begin {multicols* }{5}
773- \begin {myboxed }{Axes adjustements \hfill
773+ \begin {myboxed }{Axes adjustments \hfill
774774 \API {https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplots_adjust.html}}
775775 plt.\textbf {subplot\_ adjust }( … )\\
776776
Original file line number Diff line number Diff line change @@ -225,7 +225,7 @@ \subsection*{\rmfamily Tweak}
225225\subsection* {\rmfamily Organize }
226226% -----------------------------------------------------------------------------
227227
228- You can plot several data on the the same figure but you can also
228+ You can plot several data on the the same figure, but you can also
229229split a figure in several subplots (named {\em Axes}): \medskip
230230
231231% -----------------------------------------------------------------------------
Original file line number Diff line number Diff line change @@ -174,7 +174,7 @@ \subsection*{\rmfamily Annotation}
174174% -----------------------------------------------------------------------------
175175\subsection* {\rmfamily Colors }
176176
177- Any color can be used but Matplotlib offers sets of colors:\\
177+ Any color can be used, but Matplotlib offers sets of colors:\\
178178\includegraphics [width=\linewidth ]{colors-cycle.pdf} \smallskip
179179\includegraphics [width=\linewidth ]{colors-grey.pdf}\\
180180% As well as nice colormaps (viridis an magma):\\
Original file line number Diff line number Diff line change @@ -97,7 +97,7 @@ \subsection*{\rmfamily Transparency}
9797
9898% -----------------------------------------------------------------------------
9999\subsection* {\rmfamily Rasterization }
100- If your figure has many graphical elements such as a huge
100+ If your figure has many graphical elements, such as a huge
101101scatter, you can rasterize them to save memory and keep other elements
102102in vector format.
103103\ begin{lstlisting}
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