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How to extract the n-th elements from a list of tuples?
...ray(elements)[:,1]
and the timings:
list comprehension: 4.73 ms ± 206 µs per loop
list(map): 5.3 ms ± 167 µs per loop
dict: 2.25 ms ± 103 µs per loop
list(zip) 5.2 ms ± 252 µs per loop
numpy array: 28.7 ms ± 1.88 ms per loop
Note that map() a...
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...
How to recursively download a folder via FTP on Linux [closed]
... Sep 22 '08 at 9:01
Thibaut BarrèreThibaut Barrère
8,38322 gold badges1919 silver badges2727 bronze badges
...
What does character set and collation mean exactly?
...llation is how to compare characters, in latin9, there are letters as e é è ê f, if sorted by their binary representation, it will go e f é ê è but if the collation is set to, for example, French, you'll have them in the order you thought they would be, which is all of e é è ê are equal, an...
Remove all special characters with RegExp
...letters.
Do not use [^\w\s], this will remove letters with accents (like àèéìòù), not to mention to Cyrillic or Chinese, letters coming from such languages will be completed removed.
You really don't want remove these letters together with all the special characters. You have two chances:
Add...
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 ...
Improving bulk insert performance in Entity framework [duplicate]
... answered Nov 6 '13 at 12:21
Måns TånnerydMåns Tånneryd
47344 silver badges88 bronze badges
...
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 ...
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
...
In C# check that filename is *possibly* valid (not that it exists) [duplicate]
... edited Apr 30 '17 at 0:51
buræquete
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answered Jan 7 '09 at 21:11
...