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python Programming Glossary: groupedGroupBy functions in Python Pandas like SUM(col_1*col_2), weighted average etc http://stackoverflow.com/questions/10009468/groupby-functions-in-python-pandas-like-sumcol-1col-2-weighted-average-etc product or for example sum of two columns without using grouped.apply lambda x x.a x.b .sum It is much less than half the time.. the time on my machine faster to use df 'helper' df.a df.b grouped df.groupby something grouped 'helper' .sum df.drop 'helper'.. to use df 'helper' df.a df.b grouped df.groupby something grouped 'helper' .sum df.drop 'helper' axis 1 But I don't really like..
Python's unittest and dynamic creation of test cases [duplicate] http://stackoverflow.com/questions/1193909/pythons-unittest-and-dynamic-creation-of-test-cases I don't see the rest of the failures as they are also grouped into one test which aborts when an assertion fails. The way..
Python dict.setdefault uses more memory? [closed] http://stackoverflow.com/questions/11982368/python-dict-setdefault-uses-more-memory take advantage of your knowledge that names are all grouped but for the general case it is better than setdefault . Another..
moving average function on numpy/scipy? [closed] http://stackoverflow.com/questions/14313510/moving-average-function-on-numpy-scipy with about a dozen or so other function are informally grouped in the Pandas documentation under the rubric moving window functions..
Looking for a more efficient way to reorganize a massive CSV in Python http://stackoverflow.com/questions/15148983/looking-for-a-more-efficient-way-to-reorganize-a-massive-csv-in-python it's not in the correct order. All values are meant to be grouped based on the same Flight ID in order from earliest time stamp.. my .csv has all values in the correct time order but not grouped together appropriately according to Flight ID's. To clear my..
http://stackoverflow.com/questions/16060899/alphabet-range-python to a range or something For example for numbers it can be grouped using range range 1 10 Sorry if the question sounds silly. ..
Pandas group by operations on a data frame http://stackoverflow.com/questions/16684346/pandas-group-by-operations-on-a-data-frame 1 25 3 1 I group by the data frame based on the UsrId. The grouped data frame will conceptually look like below. UsrId JobNos 1.. ... 3 1 In 4 df pd.read_csv StringIO data sep ' s ' In 5 grouped df.groupby 'UsrId' In 6 grouped.JobNos.sum Out 6 UsrId 1 85.. data sep ' s ' In 5 grouped df.groupby 'UsrId' In 6 grouped.JobNos.sum Out 6 UsrId 1 85 2 124 3 79 Name JobNos In 7 grouped.JobNos.sum..
Find and replace duplicates in Array, but replace each nth instance with a different string http://stackoverflow.com/questions/16943968/find-and-replace-duplicates-in-array-but-replace-each-nth-instance-with-a-diffe in sample This doesn't require the list to be sorted or grouped in any way. This solution uses iterators to generate sequential..
python : colspan in texttable [closed] http://stackoverflow.com/questions/20112350/python-colspan-in-texttable it doesn't seem to understand there can be additional grouped lists underneath a main header. Instead you can accomplish this..
Identify groups of continuous numbers in a list http://stackoverflow.com/questions/2154249/identify-groups-of-continuous-numbers-in-a-list by equal key value so the first 4 elements will be grouped together and so forth. I hope this makes it more readable. ..
Splitting a string into a list in python http://stackoverflow.com/questions/4216489/splitting-a-string-into-a-list-in-python 'foo' spaces will be treated as list members though not grouped together but you didn't specify you needed that list 'foo' 'f'..
What sets up sys.path with Python, and when? http://stackoverflow.com/questions/4271494/what-sets-up-sys-path-with-python-and-when Versions 2.6 Extras lib python wx 2.8 mac unicode They are grouped into 5 categories. Library Python 2.6 site packages .egg Library..
Iterating over every two elements in a list http://stackoverflow.com/questions/5389507/iterating-over-every-two-elements-in-a-list share improve this question You need a pairwise or grouped implementation from itertools import izip def pairwise iterable.. d x y x y Or more generally from itertools import izip def grouped iterable n s s0 s1 s2 ...sn 1 sn sn 1 sn 2 ...s2n 1 s2n s2n.. s2n 2 ...s3n 1 ... return izip iter iterable n for x y in grouped l 2 print d d d x y x y In Python 3 you can just use the zip..
http://stackoverflow.com/questions/5453026/string-to-list-in-python are made . If sep is given consecutive delimiters are not grouped together and are deemed to delimit empty strings for example..
Is there a good way to do this type of mining? http://stackoverflow.com/questions/7076349/is-there-a-good-way-to-do-this-type-of-mining the global information of which size will give the maximum grouped points but I am still exploring a good approach and search for..
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