大约有 35,419 项符合查询结果(耗时:0.0699秒) [XML]
Showing the same file in both columns of a Sublime Text window
...|
edited Oct 22 '16 at 3:40
answered May 30 '14 at 23:33
Ma...
Returning first x items from array
...ray_slice returns a slice of an array
$sliced_array = array_slice($array, 0, 5)
is the code you want in your case to return the first five elements
share
|
improve this answer
|
...
awk without printing newline
...
answered Jan 7 '10 at 16:56
CodeRainCodeRain
5,18444 gold badges2323 silver badges3232 bronze badges
...
Why am I seeing “TypeError: string indices must be integers”?
...
answered May 20 '11 at 21:16
TamásTamás
42.9k1111 gold badges9090 silver badges118118 bronze badges
...
Using [UIColor colorWithRed:green:blue:alpha:] doesn't work with UITableView seperatorColor?
...
You need to divide by 255.0
Because I hardly ever use values between 1.0 and 0.0, I created a very simple UIColor category that does the messy looking division by itself: (from http://github.com/Jon889/JPGeneral)
//.h file
@interface UIColor (JPExtr...
System.IO.Packaging
I have my project set to .NET Framework 4.0. When I add System.IO.Packaging , it says that it doesn't exist. It also doesn't show up when I try to add it as a reference to the project.
...
How is “=default” different from “{}” for default constructor and destructor?
...
105
This is a completely different question when asking about constructors than destructors.
If yo...
Understanding how recursive functions work
...
107
I think the confusion is stemming from thinking of it as "the same function" being called many ...
Is there a NumPy function to return the first index of something in an array?
...mensions and it contained your item at two locations then
array[itemindex[0][0]][itemindex[1][0]]
would be equal to your item and so would
array[itemindex[0][1]][itemindex[1][1]]
numpy.where
share
|
...
Standard deviation of a list
...
Since Python 3.4 / PEP450 there is a statistics module in the standard library, which has a method stdev for calculating the standard deviation of iterables like yours:
>>> A_rank = [0.8, 0.4, 1.2, 3.7, 2.6, 5.8]
>>> import statis...