大约有 3,200 项符合查询结果(耗时:0.0167秒) [XML]

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How to list only top level directories in Python?

....walk timeit(os.walk(os.getcwd()).next()[1]) 1000 loops, best of 3: 734 µs per loop timeit(filter(os.path.isdir, os.listdir(os.getcwd()))) 1000 loops, best of 3: 477 µs per loop – B.Kocis May 18 '16 at 14:19 ...
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How can I obtain the element-wise logical NOT of a pandas Series?

... True]*10000) In [10]: %timeit np.invert(s) 10000 loops, best of 3: 91.8 µs per loop In [11]: %timeit ~s 10000 loops, best of 3: 73.5 µs per loop In [12]: %timeit (-s) 10000 loops, best of 3: 73.5 µs per loop As of Pandas 0.13.0, Series are no longer subclasses of numpy.ndarray; they are no...
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Do I need elements in persistence.xml?

...red Nov 22 '09 at 23:41 Mads MobækMads Mobæk 29.5k2020 gold badges6464 silver badges7575 bronze badges ...
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Create Directory When Writing To File In Node.js

...-extra. If you don't want to install a package, please see Tiago Peres França's answer below. share | improve this answer | follow | ...
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JavaScript “new Array(n)” and “Array.prototype.map” weirdness

...ered Mar 31 '11 at 14:45 David MårtenssonDavid Mårtensson 7,10044 gold badges2727 silver badges4646 bronze badges ...
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default select option as blank

... <td><b>Ação da atividade:</b><br> <select style='align:left; width:100%;' id='cbxTipoSFA' name='cbxTipoSFA'> <option hidden selected>Selecione uma opção</option> <option value='Instalação'...
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Selecting/excluding sets of columns in pandas [duplicate]

... It seems that the drop method is slightly faster (~515 µs vs ~680 µs), at least in some tests on a 15611 rows x 5 columns dataframe of which I wanted to drop 3 columns, in python 3.6 and pandas 0.20.3. – bli Nov 8 '17 at 17:12 ...
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Couldn't register with the bootstrap Server

... answered May 30 '11 at 21:09 Pål BrattbergPål Brattberg 3,8502020 silver badges3131 bronze badges ...
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Vim: faster way to select blocks of text in visual mode

... answered Sep 13 '11 at 18:55 µBioµBio 10.2k66 gold badges3535 silver badges5555 bronze badges ...
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MySQL vs MongoDB 1000 reads

...------------------------------------------- 1000000 872.709µs SELECT & DISPLAY ------------------------------------------------ num of rows time taken ------------------------------------------------ 1000000 20.717354746s UPDAT...