python Programming Glossary: cumsum

http://stackoverflow.com/questions/13047806/weighted-random-sample-in-python

len weights 0 self.population population self.cumweights cumsum 0 # compute cumulative weight for w in weights cumsum w self.cumweights.append.. cumsum 0 # compute cumulative weight for w in weights cumsum w self.cumweights.append cumsum def __len__ self return self.cumweights.. weight for w in weights cumsum w self.cumweights.append cumsum def __len__ self return self.cumweights 1 def __getitem__ self..

Session generation from log file analysis with pandas

http://stackoverflow.com/questions/17547391/session-generation-from-log-file-analysis-with-pandas

this question I would do this using a shift and a cumsum here's a simple example with numbers instead of times but they.. 1.1 1.2 2.7 3.2 3.8 3.9 In 12 s s.shift 1 0.5 .fillna 0 .cumsum skipna False # Out 12 0 0 1 0 2 0 3 1 4 1 5 2 6 2 dtype int64.. g 'time' .apply lambda s s s.shift 1 0.5 .fillna 0 .cumsum skipna False In 26 df Out 26 time ip session_number 0 1.1 A..

Create a Pandas dataframe with counts of items spanning a date range

http://stackoverflow.com/questions/18775052/create-a-pandas-dataframe-with-counts-of-items-spanning-a-date-range

you the currently active In 14 starts.reindex p .fillna 0 .cumsum ends.reindex p .fillna 0 .cumsum Out 14 2000 01 0 2000 02 0.. p .fillna 0 .cumsum ends.reindex p .fillna 0 .cumsum Out 14 2000 01 0 2000 02 0 2000 03 0 2000 04 2 2000 05 2 2000.. 02 0 0 2001 03 0 0 2001 04 0 0 2001 05 0 0 2001 06 1 0 The cumsum track the running totals of starts and ends up to that point..

matplotlib: format axis offset-values to whole numbers or specific number

http://stackoverflow.com/questions/3677368/matplotlib-format-axis-offset-values-to-whole-numbers-or-specific-number

data... x linspace 55478 55486 100 y random 100 0.5 y cumsum y y y.min y 1e 8 # plot plot x y # xticks locs labels xticks..

Find the index of the n'th item in a list

http://stackoverflow.com/questions/8337069/find-the-index-of-the-nth-item-in-a-list

in numpy for cases similar to the above e.g. using cumsum and where but I'd like to know if there's a numpy free way to..