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Find the most frequent number in a numpy vector

...t collections.Counter(a).most_common()[0][0] 100000 loops, best of 3: 11.3 µs per loop >>> >>> import numpy >>> numpy.bincount(a).argmax() 3 >>> %timeit numpy.bincount(a).argmax() 100 loops, best of 3: 2.84 ms per loop >>> >>> import scipy.sta...
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Replace all elements of Python NumPy Array that are greater than some value

...r case: In [292]: timeit np.minimum(a, 255) 100000 loops, best of 3: 19.6 µs per loop In [293]: %%timeit .....: c = np.copy(a) .....: c[a>255] = 255 .....: 10000 loops, best of 3: 86.6 µs per loop If you want to do it in-place (i.e., modify arr instead of creating result) you can ...
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Improving bulk insert performance in Entity framework [duplicate]

... answered Nov 6 '13 at 12:21 Måns TånnerydMåns Tånneryd 47344 silver badges88 bronze badges ...
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How to reset index in a pandas dataframe? [duplicate]

...n that an intermediate result is being cached. 10000 loops, best of 3: 105 µs per loop In [299]: %timeit df.index = pd.RangeIndex(len(df.index)) The slowest run took 15.05 times longer than the fastest. This could mean that an intermediate result is being cached. 100000 loops, best of 3: 7.84 µs ...
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DateTime.ToString(“MM/dd/yyyy HH:mm:ss.fff”) resulted in something like “09/14/2013 07.20.31.371”

... answered Sep 2 '15 at 8:06 Håkon SeljåsenHåkon Seljåsen 46744 silver badges1212 bronze badges ...
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In C# check that filename is *possibly* valid (not that it exists) [duplicate]

... edited Apr 30 '17 at 0:51 buræquete 12.5k44 gold badges3131 silver badges6262 bronze badges answered Jan 7 '09 at 21:11 ...
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What's the difference between UTF-8 and UTF-8 without BOM?

...nded but it did wonders to my powershell script when trying to output "æøå" – Marius Nov 12 '13 at 9:22 63 ...
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Numpy: find first index of value fast

...e(100000) %timeit index(arr, 5) # 1000000 loops, best of 3: 1.88 µs per loop %timeit find_first(5, arr) # 1000000 loops, best of 3: 1.7 µs per loop %timeit index(arr, 99999) # 10000 loops, best of 3: 118 µs per loop %timeit find_first(99999, arr) # 10000 loops, best of 3: 9...
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Approximate cost to access various caches and main memory?

... Mutex lock/unlock 100 ns Main memory (RAM) 2 000 ns (2µs) 1KB Zippy-compress Still some improvements, prediction for 2020 16 000 ns (16µs) SSD random read (olibre's note: should be less) 500 000 ns (½ms) Round trip in datacenter 2 000 000 ns (2ms) HDD random read (s...
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Remove rows with duplicate indices (Pandas DataFrame and TimeSeries)

...>> %timeit df3.groupby(df3.index).first() 1000 loops, best of 3: 580 µs per loop >>> %timeit df3[~df3.index.duplicated(keep='first')] 1000 loops, best of 3: 307 µs per loop Note that you can keep the last element by changing the keep argument to 'last'. It should also be noted tha...