PERF: perf improvements in drop_duplicates for integer dtyped arrays by jreback · Pull Request #10917 · pandas-dev/pandas (original) (raw)
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no need to factorize integers when dropping duplicates.
master
In [1]: np.random.seed(1234)
In [2]: df = DataFrame({'A' : np.random.randint(0,10000,size=1000000)})
In [3]: %timeit df.drop_duplicates()
10 loops, best of 3: 36.9 ms per loop
PR
In [2]: df = DataFrame({'A' : np.random.randint(0,10000,size=1000000)})
In [3]: %timeit df.drop_duplicates()
10 loops, best of 3: 21.6 ms per loop
jreback added a commit that referenced this pull request
PERF: perf improvements in drop_duplicates for integer dtyped arrays
This was referenced
Oct 21, 2015
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