python Programming Glossary: chunksize

http://stackoverflow.com/questions/11622652/large-persistent-dataframe-in-pandas

is to read the file in smaller pieces use iterator True chunksize 1000 then concatenate then with pd.concat . The problem comes..

Iteration over list slices

http://stackoverflow.com/questions/1335392/iteration-over-list-slices

remembered and yielded at the next call. def __init__ self chunksize assert chunksize 0 self.chunksize chunksize self.chunk def.. at the next call. def __init__ self chunksize assert chunksize 0 self.chunksize chunksize self.chunk def __call__ self iterable.. call. def __init__ self chunksize assert chunksize 0 self.chunksize chunksize self.chunk def __call__ self iterable Yield items..

“Large data” work flows using pandas

http://stackoverflow.com/questions/14262433/large-data-work-flows-using-pandas

the file additional options hmay be necessary here # the chunksize is not strictly necessary you may be able to slurp each # file.. just eliminate this part of the loop # you can also change chunksize if necessary for chunk in pd.read_table f chunksize 50000 #.. change chunksize if necessary for chunk in pd.read_table f chunksize 50000 # we are going to append to each table by group # we are..

How to trouble-shoot HDFStore Exception: cannot find the correct atom type

http://stackoverflow.com/questions/15488809/how-to-trouble-shoot-hdfstore-exception-cannot-find-the-correct-atom-type

'test0.h5' 'w' In 31 for chunk in pd.read_csv 'Train.csv' chunksize 10000 .... store.append 'df' chunk index False Note that if.. In 6 for chunk in pd.read_csv 'Train.csv' header 0 chunksize 50000 ... for col in chunk.columns ... store.append col chunk.. 'test0.h5' 'w' In 5 for chunk in pd.read_csv 'Train.csv' chunksize 10000 ... store.append 'df' chunk index False data_columns True..

NumPy vs. multiprocessing and mmap

http://stackoverflow.com/questions/9964809/numpy-vs-multiprocessing-and-mmap

results np.fromiter results dtype np.float def chunks data chunksize 100 Overly simple chunker... intervals range 0 data.size chunksize.. 100 Overly simple chunker... intervals range 0 data.size chunksize None for start stop in zip intervals 1 intervals 1 yield data.. results np.fromiter results dtype np.float def chunks data chunksize 100 Overly simple chunker... intervals range 0 data.size chunksize..

Python: suggestions to improve a chunk-by-chunk code to read several millions of points

http://stackoverflow.com/questions/12769353/python-suggestions-to-improve-a-chunk-by-chunk-code-to-read-several-millions-of

the points file_out lasfile.File outFile mode 'w' header h chunkSize 100000 for i in xrange 0 len f chunkSize chunk f i i chunkSize.. mode 'w' header h chunkSize 100000 for i in xrange 0 len f chunkSize chunk f i i chunkSize x y # extraxt x and y value for each points.. 100000 for i in xrange 0 len f chunkSize chunk f i i chunkSize x y # extraxt x and y value for each points for p in xrange..

OperationalError: (2001, “Can't create UNIX socket (24)”)

http://stackoverflow.com/questions/9292567/operationalerror-2001-cant-create-unix-socket-24

dataList Mydata.objects.filter date__isnull True chunkSize print ' s DB worker finished reading s entrys' datetime.now..