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How do I convert a pandas Series or index to a Numpy array? [duplicate]
...se the values attribute:
In [1]: df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}, index=['a', 'b', 'c']); df
A B
a 1 4
b 2 5
c 3 6
In [2]: df.index.values
Out[2]: array(['a', 'b', 'c'], dtype=object)
This accesses how the data is already stored, so there's no need for a conversion.
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edited Aug 1 '16 at 11:45
Green-Man
3766 bronze badges
answered May 24 '09 at 0:26
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343
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...d answer
– oshi2016
Mar 16 '17 at 5:46
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Optimal number of threads per core
Let's say I have a 4-core CPU, and I want to run some process in the minimum amount of time. The process is ideally parallelizable, so I can run chunks of it on an infinite number of threads and each thread takes the same amount of time.
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148
You can do it like this in Lodash 4.x
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