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From: Benjamin Trendelkamp-S. <tre...@ze...> - 2013-11-04 09:03:55
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Hi, I'd recommend to load the binary data and store it as a numpy ndarray, http://docs.scipy.org/doc/numpy/reference/arrays.ndarray.html If your data is one-dimensional you can simply use matplotlib.pyplot.hist, http://matplotlib.org/api/pyplot_api.html to plot the histogram. The 'normed' keyword argument allows matplotlib to normalize the histogram so that the plot will show the pdf. In order to unpack the data-files you need to know the binary format. Can you please provide more information about that. Best, Benjamin On 04.11.2013 07:03, Sourav Chatterjee wrote: > I have binary files containing some discrete data. I need to calculate > the probability density function (pdf) and plot the same. Do I need to > unpack the data files? How? For plotting the pdf what module is easier? > > -- > Sourav Chatterjee > Trainee Scientist > Indian Institute of Tropical Meteorology, Pune > > > ------------------------------------------------------------------------------ > Android is increasing in popularity, but the open development platform that > developers love is also attractive to malware creators. Download this white > paper to learn more about secure code signing practices that can help keep > Android apps secure. > http://pubads.g.doubleclick.net/gampad/clk?id=65839951&iu=/4140/ostg.clktrk > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Benjamin Trendelkamp-Schroer Freie Universität Berlin FB Mathematik + Informatik Institut für Mathematik Arnimallee 6 D-14195 Berlin-Dahlem tre...@ze... +49-(0)30-838-75364 |