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python Programming Glossary: pp

How to speed up matplotlib when plotting and saving lots of figures?

http://stackoverflow.com/questions/11688318/how-to-speed-up-matplotlib-when-plotting-and-saving-lots-of-figures

39 # default is 39 SUB_PLT_NUM 20 # default is 20 for pp in xrange 0 PLT_PAGE_NUM plt.figure figsize 20 12 start_time.. 5 4 kk 1 plt.plot np.arange 0 TIME_LENGTH xcor_real_arr 20 pp kk 0 'r ' range 0 TIME_LENGTH xcor_imag_arr 20 pp kk 0 'b '.. 20 pp kk 0 'r ' range 0 TIME_LENGTH xcor_imag_arr 20 pp kk 0 'b ' plt.title 'XCOR of ' ind_arr 20 pp kk color 'k' plt.savefig..

pretty printing nested dictionaries in Python?

http://stackoverflow.com/questions/3229419/pretty-printing-nested-dictionaries-in-python

with depth of ~4 in Python I tried pretty printing with pprint but it did not work import pprint pp pprint.PrettyPrinter.. pretty printing with pprint but it did not work import pprint pp pprint.PrettyPrinter indent 4 pp.pprint mydict I simply.. printing with pprint but it did not work import pprint pp pprint.PrettyPrinter indent 4 pp.pprint mydict I simply want..

Peak detection in a 2D array

http://stackoverflow.com/questions/3684484/peak-detection-in-a-2d-array

Since I haven't processed any other trials yet I can't supply any other samples. But the data I gave before were the averages.. binary_erosion import matplotlib.pyplot as pp #for some reason I had to reshape. Numpy ignored the shape header... neighborhood neighborhood generate_binary_structure 2 2 #apply the local maximum filter all pixel of maximal value #in their..

Using the multiprocessing module for cluster computing

http://stackoverflow.com/questions/5181949/using-the-multiprocessing-module-for-cluster-computing

which will help with cluster computing. From the list pp jug pyro and celery look like sensible options although I can't.. I would start by exploring jug . It's easy to install supports common batch cluster systems and looks well documented ...