大约有 47,000 项符合查询结果（耗时：0.0376秒） [XML]
How can I pretty-print JSON using node.js?
...
840
JSON.stringify's third parameter defines white-space insertion for pretty-printing. It can be ...
Pythonic way to find maximum value and its index in a list?
...rdsforthewise
6,64233 gold badges4444 silver badges7878 bronze badges
answered May 31 '11 at 21:03
Sven MarnachSven Marnach
446k10...
Two versions of python on linux. how to make 2.7 the default
...
|
edited Oct 8 '13 at 19:47
answered Oct 8 '13 at 19:17
...
Is there a difference between foo(void) and foo() in C++ or C?
...effler
641k111111 gold badges777777 silver badges11481148 bronze badges
answered Sep 9 '08 at 1:34
DrPizzaDrPizza
16.3k77 gold bad...
numpy matrix vector multiplication [duplicate]
...>> b = np.array([1, 2, 3])
>>> print a.dot(b)
array([16, 6, 8])
This occurs because numpy arrays are not matrices, and the standard operations *, +, -, / work element-wise on arrays. Instead, you could try using numpy.matrix, and * will be treated like matrix multiplication.
Ot...
Difference in System. exit(0) , System.exit(-1), System.exit(1 ) in Java
... range:
1-127 are user defined codes (so generated by calling exit(n))
128-255 are codes generated by termination due to different unix signals like SIGSEGV or SIGTERM
But I don't think you should care while coding on Java, it's just a bit of information. It's useful if you plan to make your pro...
How can we programmatically detect which iOS version is device running on? [duplicate]
...
684
Best current version, without need to deal with numeric search within NSString is to define mac...
Access mysql remote database from command line
...
Revious
6,6112828 gold badges8282 silver badges132132 bronze badges
answered Apr 6 '16 at 12:54
Venkat MVenkat M
...
Why does X[Y] join of data.tables not allow a full outer join, or a left join?
...|
edited Jan 4 '19 at 12:48
Henrik
52.1k1111 gold badges117117 silver badges134134 bronze badges
answere...
How to remove all rows in a numpy.ndarray that contain non-numeric values
...
>>> a = np.array([[1,2,3], [4,5,np.nan], [7,8,9]])
array([[ 1., 2., 3.],
[ 4., 5., nan],
[ 7., 8., 9.]])
>>> a[~np.isnan(a).any(axis=1)]
array([[ 1., 2., 3.],
[ 7., 8., 9.]])
and reassign this to a.
Explanation: np.is...