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Creating a zero-filled pandas data frame
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Testing this I find %timeit temp = np.zeros((10, 11)); d = pd.DataFrame(temp, columns = ['col1', 'col2',...'col11']) takes 156 us. But %timeit d = pd.DataFrame(0, index = np.arange(10), columns = ['col1', 'col2',...'col11']) takes 171 us. I'm surprised it's not any faster.
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Invalid URI: The format of the URI could not be determined
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CJBrewCJBrew
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add a comme...
Significant new inventions in computing since 1980
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311
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The Internet itself pre-dates 1980, but the World Wide Web ("distributed hyp...
pandas read_csv and filter columns with usecols
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114
The answer by @chip completely misses the point of two keyword arguments.
names is only nece...
onIabPurchaseFinished never called.
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answered Oct 10 '14 at 11:08
drwurodrwuro
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Best way to use html5 data attributes with rails content_tag helper?
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answered Nov 9 '11 at 5:18
stephencelisstephencelis
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TypeError: 'dict_keys' object does not support indexing
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11
This is a strange breaking change design decision for python3.
– Jason
Jun 19 '17 at 23:49
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What are CFI directives in Gnu Assembler (GAS) used for?
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Community♦
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answered Mar 27 '10 at 12:24
user257111user257111
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Ignore modified (but not committed) files in git?
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csmosxcsmosx
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What are paramorphisms?
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Yes, that's para. Compare with catamorphism, or foldr:
para :: (a -> [a] -> b -> b)...
