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awarded Famous Question
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awarded Popular Question
Jan
16
accepted Migrating "large" csv file
Jan
16
comment Migrating "large" csv file
Excellent, it works: for data in pd.read_csv(..., chunksize=1000): data.to_sql(...). I didn't have any luck with .to_sql(chunksize=...) just to mention.
Jan
16
asked Migrating "large" csv file
Jan
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awarded Notable Question
Dec
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awarded Popular Question
Dec
28
accepted Detect consecutive dates in pandas series of DatetimeIndex
Dec
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revised Detect consecutive dates in pandas series of DatetimeIndex
added 317 characters in body
Dec
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revised Detect consecutive dates in pandas series of DatetimeIndex
added 89 characters in body
Dec
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asked Detect consecutive dates in pandas series of DatetimeIndex
Dec
27
accepted Wine ODBC connection to local PostgreSQL database
Dec
27
awarded Popular Question
Dec
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awarded Nice Answer
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awarded Famous Question
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awarded Guru
Nov
30
comment How to prefer Series over DataFrame
Thanks. read_sql_query accepts just a few arguments, and no squeeze, but indexing on ['Value'] does the trick :)
Nov
30
asked How to prefer Series over DataFrame
Nov
27
comment Merge and export OCRed text into and from a pdf file
No, I wouldn't need that. I would have the text searchable in SVG, with detected font, and everything is positioned with SVG instructions. I don't know but I find that very interesting, I made several XKCD comics in searchable SVGs with Sans Serif Font, by using tesseract, hunspell, opencv and svgwrite and potrace (as Python modules) ;)
Nov
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comment Merge and export OCRed text into and from a pdf file
Well HOCR, is XHTML so it is XML, and there are tools many ways for producing PDF out of it, but that's involved, and other formats like EPUB or else... If I would have to do something like (assuming making PDF image for printing) then I'd use Python and convert HOCR to SVG. From SVG I'll have much more options, but that's just me...
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