大约有 800 项符合查询结果（耗时：0.0075秒） [XML]
How to implement the Android ActionBar back button?
... answered Apr 17 '15 at 7:30
Sågär ŚåxëńáSågär Śåxëńá
10111 silver badge66 bronze badges
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How do I create a list of random numbers without duplicates?
...cted from 0 to 99, without duplicates. Benchmarking in IPython, yields 103 µs ± 513 ns for %timeit random.sample(range(1000), 100) , and 17 µs ± 1.24 µs for %timeit np.random.permutation(1000)[:100] .
– Ant Plante
Sep 4 at 10:26
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Is there a NumPy function to return the first index of something in an array?
...or idx, val in np.ndenumerate(a) if val==0))
100000 loops, best of 3: 17.6 µs per loop
In [287]: %timeit np.argmax(a==0)
1000 loops, best of 3: 254 µs per loop
In [288]: %timeit np.where(a==0)[0][0]
1000 loops, best of 3: 314 µs per loop
This is an open NumPy GitHub issue.
See also: Numpy:...
Remove accents/diacritics in a string in JavaScript
..., ü -> ue, Ä -> Ae, Ö -> Oe, Ü -> Ue, å -> aa, Å -> Aa, ß -> ss, ẞ -> SS,
– Marius
Jul 13 '17 at 18:28
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Get folder name from full file path
...red Mar 8 '11 at 6:53
Øyvind BråthenØyvind Bråthen
52.2k2525 gold badges113113 silver badges138138 bronze badges
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Deleting lines from one file which are in another file
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This has O(n²) complexity and will start to take hours to complete once the files contain more than a few K lines.
– Arnaud Le Blanc
Jan 24 '11 at 10:59
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Get the (last part of) current directory name in C#
...ot exactly what the question was about.
– Jakob Möllås
May 16 '11 at 13:47
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Pandas percentage of total with groupby
...les'].sum().rename("count")
c / c.groupby(level=0).sum()
3.42 ms ± 16.7 µs per loop
(mean ± std. dev. of 7 runs, 100 loops each)
2nd Paul H
state_office = df.groupby(['state', 'office_id']).agg({'sales': 'sum'})
state = df.groupby(['state']).agg({'sales': 'sum'})
state_office.div(state, lev...
Generate 'n' unique random numbers within a range [duplicate]
...e whole range. For example: %timeit random.sample(xrange(10000), 3) = 4.92 µs per loop, %timeit random.sample(range(10000), 3) = 126 µs per loop
– gaborous
May 16 '15 at 19:51
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Creating a zero-filled pandas data frame
...index=orig_df.index, columns=orig_df.columns)
10000 loops, best of 3: 60.2 µs per loop
Compare to:
In [4]: %timeit d = pd.DataFrame(0, index = np.arange(10), columns=columns)
10000 loops, best of 3: 110 µs per loop
In [5]: temp = np.zeros((10, 10))
In [6]: %timeit d = pd.DataFrame(temp, column...