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python Programming Glossary: seriesPython list doesn't reflect variable change http://stackoverflow.com/questions/12080552/python-list-doesnt-reflect-variable-change tied to that same balloon. In python a list is simply a series of threads all numbered starting at 0. What you do next is tie..
How can I quantify difference between two images? http://stackoverflow.com/questions/189943/how-can-i-quantify-difference-between-two-images or μ μ More advanced versions make take into account time series for every pixel and handle non static scenes like moving trees..
Solving embarassingly parallel problems using Python multiprocessing http://stackoverflow.com/questions/2359253/solving-embarassingly-parallel-problems-using-python-multiprocessing yield i sum row def write_results csvfile results Writes a series of results to an outfile where the first column is the index..
Speed up bitstring/bit operations in Python? http://stackoverflow.com/questions/2897297/speed-up-bitstring-bit-operations-in-python limit 1000000 '''Prime number generator. Yields the series 2 3 5 7 11 13 17 19 23 29 ... using Sieve of Eratosthenes. '''.. limit 1000000 '''Prime number generator. Yields the series 2 3 5 7 11 13 17 19 23 29 ... using Sieve of Eratosthenes. '''.. limit 1000000 '''Prime number generator. Yields the series 2 3 5 7 11 13 17 19 23 29 ... using Sieve of Eratosthenes. '''..
What is the best (idiomatic) way to check the type of a Python variable? [duplicate] http://stackoverflow.com/questions/378927/what-is-the-best-idiomatic-way-to-check-the-type-of-a-python-variable to use a dict as a case statement than an if elif else series. Let me elaborate on my use case. If a variable is a string..
Get the cartesian product of a series of lists in Python http://stackoverflow.com/questions/533905/get-the-cartesian-product-of-a-series-of-lists-in-python the cartesian product of a series of lists in Python How can I get the Cartesian product every..
Python regex find all overlapping matches? http://stackoverflow.com/questions/5616822/python-regex-find-all-overlapping-matches all overlapping matches I'm trying to find every 10 digit series of numbers within a larger series of numbers using re in Python.. to find every 10 digit series of numbers within a larger series of numbers using re in Python 2.6. I'm easily able to grab no.. overlapping matches but I want every match in the number series. Eg. in 123456789123456789 I should get the following list 1234567891..
Python/Matplotlib - Is there a way to make a discontinuous axis? http://stackoverflow.com/questions/5656798/python-matplotlib-is-there-a-way-to-make-a-discontinuous-axis with np.r_ don't worry too much about this. It's just # a series with points from 0 to 1 spaced at 0.1 and 9 to 10 with the same.. with np.r_ don't worry too much about this. It's just # a series with points from 0 to 1 spaced at 0.1 and 9 to 10 with the same..
Scope of python lambda functions and their parameters http://stackoverflow.com/questions/938429/scope-of-python-lambda-functions-and-their-parameters a callback function that is almost exactly the same for a series of gui events. The function will behave slightly differently..
Pandas: create two new columns in a dataframe with values calculated from a pre-existing column http://stackoverflow.com/questions/12356501/pandas-create-two-new-columns-in-a-dataframe-with-values-calculated-from-a-pre with no clue. df 'column_A' .map calculate returns a panda Series each item consisting of a tuple z y. And trying to assign this..
Resample hourly TimeSeries with certain starting hour http://stackoverflow.com/questions/12579150/resample-hourly-timeseries-with-certain-starting-hour hourly TimeSeries with certain starting hour I want to resample a TimeSeries.. with certain starting hour I want to resample a TimeSeries in daily exactly 24 hours frequence starting at a certain hour... date_range datetime 2012 1 1 17 freq 'H' periods 60 ts Series data 1 60 index index ts.resample rule 'D' how 'sum' closed..
How to apply a function to two columns of Pandas dataframe http://stackoverflow.com/questions/13331698/how-to-apply-a-function-to-two-columns-of-pandas-dataframe to the function f rewrite the function to accept a pandas Series object and then index the Series to get the values needed. In.. to accept a pandas Series object and then index the Series to get the values needed. In 49 df Out 49 0 1 0 1.000000 0.000000.. .... return x 0 x 1 .... In 51 df.apply f axis 1 #passes a Series object row wise Out 51 0 1.000000 1 0.076619 2 1.000000 3 1.646622..
http://stackoverflow.com/questions/16637171/pandas-reshaping-data reshaping data I have a pandas Series which presently looks like this 14 Yellow Pizza Restaurants.. vectorization share improve this question In 9 s Series list 'ABC' list 'DEF' list 'ABEF' In 10 s Out 10 0 A B C 1 D.. B C 1 D E F 2 A B E F dtype object In 11 s.apply lambda x Series 1 index x .fillna 0 Out 11 A B C D E F 0 1 1 1 0 0 0 1 0 0 0..
Parsing xml to pandas data frame throws memory error http://stackoverflow.com/questions/16922432/parsing-xml-to-pandas-data-frame-throws-memory-error 418 if isinstance data 0 list tuple collections.Mapping Series 419 arrays columns _to_arrays data columns dtype dtype 420.. 5459 dtype dtype 5460 elif isinstance data 0 Series 5461 return _list_of_series_to_arrays data columns Users user..
pandas: How do I split text in a column into multiple columns? http://stackoverflow.com/questions/17116814/pandas-how-do-i-split-text-in-a-column-into-multiple-columns 1 13 37 1 13 300 In 44 s df 'Seatblocks' .apply lambda x Series x.split ' ' .stack In 45 s.index s.index.droplevel 1 # to line.. string in its own column In 50 df.join s.apply lambda x Series x.split ' ' Out 50 CustNum CustomerName ItemQty Item ItemExt..
What is the difference between NaN and None? http://stackoverflow.com/questions/17534106/what-is-the-difference-between-nan-and-none when NAs must be introduced. Note the gotcha that integer Series containing missing data are upcast to floats . In my opinion.. . # without forcing dtype it changes None to NaN s_bad pd.Series 1 None dtype object s_good pd.Series 1 np.nan In 13 s_bad.dtype.. None to NaN s_bad pd.Series 1 None dtype object s_good pd.Series 1 np.nan In 13 s_bad.dtype Out 13 dtype 'O' In 14 s_good.dtype..
Parsing XML in Python using ElementTree example http://stackoverflow.com/questions/1786476/parsing-xml-in-python-using-elementtree-example XML. Here is a sample of the XML I'm working with timeSeriesResponse queryInfo locationParam 01474500 locationParam variableParam.. 11 23T15 15 55.271 endDateTime timeParam queryInfo timeSeries name NWIS Time Series Instantaneous Values values count 2876.. endDateTime timeParam queryInfo timeSeries name NWIS Time Series Instantaneous Values values count 2876 value dateTime 2009..
How to select following sibling/xml tag using xpath http://stackoverflow.com/questions/3139402/how-to-select-following-sibling-xml-tag-using-xpath name Brand td td class desc Intel td tr tr td class name Series td td class desc Core i5 td tr tr td class name Cores td td.. name Brand td td class desc AMD td tr tr td class name Series td td class desc Phenom II X4 td tr tr td class name Cores td.. for a CPU which is already set up that consists of a Brand Series Cores and Socket type to store each of the data. This is the..
Financial technical analysis in python http://stackoverflow.com/questions/4406481/financial-technical-analysis-in-python has Python Bindings PyFinancial Docs in Spanish PyMacLab Series of classes useful for conducting research in dynamic macroeconomics..
Python Smooth Time Series Data http://stackoverflow.com/questions/5515720/python-smooth-time-series-data Smooth Time Series Data I have some data in python that is unixtime value 1301672429..
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