Difference between revisions of "Software tutorial/Creating and saving plots"
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There are several libraries to create plots in Python, but one of the most well-developed and supported libraries is <tt>[http://matplotlib.sourceforge.net/ matplotlib]</tt>; another reason to use this library is that its syntax is intentionally similar to MATLAB's. | There are several libraries to create plots in Python, but one of the most well-developed and supported libraries is <tt>[http://matplotlib.sourceforge.net/ matplotlib]</tt>; another reason to use this library is that its syntax is intentionally similar to MATLAB's. | ||
== Saving a plot == | |||
fig.savefig(FILENAME, dpi=300, facecolor='w', edgecolor='w', orientation='portrait', papertype=None, format=None, transparent=True) | |||
Revision as of 15:30, 5 November 2010
Creating a plot
Plots in MATLAB and Python use an approach where you add successive elements to your graph. You start by plotting a line, then you may superimpose another line, optionally add some points, add a grid, title, labels and legend. Once completed, you can save your plot and add it to a document, website, or print it.
To introduce this section I will show how this plot, which we used in class, was created:
[[Media:
There are several libraries to create plots in Python, but one of the most well-developed and supported libraries is matplotlib; another reason to use this library is that its syntax is intentionally similar to MATLAB's.
Saving a plot
fig.savefig(FILENAME, dpi=300, facecolor='w', edgecolor='w', orientation='portrait', papertype=None, format=None, transparent=True)