大约有 47,000 项符合查询结果（耗时：0.0581秒） [XML]
Gradient borders
...webkit-border-image: -webkit-gradient(linear, left top, left bottom, from(#00abeb), to(#fff), color-stop(0.5, #fff), color-stop(0.5, #66cc00)) 21 30 30 21 repeat repeat;
Prooflink -- http://www.webkit.org/blog/1424/css3-gradients/
Browser support: http://caniuse.com/#search=border-image
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Build tree array from flat array in javascript
...on has :
id : a unique id,
parentId : the id of the parent node (which is 0 if the node is a root of the tree)
level : the level of depth in the tree
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Ruby Bundle Symbol not found: _SSLv2_client_method (LoadError)
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10 Answers
10
Active
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Javascript Split string on UpperCase Characters
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answered Oct 25 '11 at 11:05
TeneffTeneff
20.7k88 gold badges4747 silver badges7777 bronze badges
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Case in Select Statement
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http://msdn.microsoft.com/en-us/library/ms181765.aspx
USE AdventureWorks2012;
GO
SELECT ProductNumber, Name, "Price Range" =
CASE
WHEN ListPrice = 0 THEN 'Mfg item - not for resale'
WHEN ListPrice < 50 THEN 'Under $50'
WHEN ListPrice >= 50 and ListPrice < 250 THEN 'U...
What is the difference between tinyint, smallint, mediumint, bigint and int in MySQL?
...------
tinyint | 1 byte -128 to 127 0 to 255
smallint | 2 bytes -32768 to 32767 0 to 65535
mediumint | 3 bytes -8388608 to 8388607 0 to 16777215
int/integer | 4 bytes -2147483648 to 2147483647 ...
Numpy index slice without losing dimension information
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It's probably easiest to do x[None, 10, :] or equivalently (but more readable) x[np.newaxis, 10, :].
As far as why it's not the default, personally, I find that constantly having arrays with singleton dimensions gets annoying very quickly. I'd guess the numpy...
Adding a new SQL column with a default value
...for the syntax to add a column to a MySQL database with a default value of 0
10 Answers
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How to return an array from JNI to Java?
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120
If you've examined the documentation and still have questions that should be part of your initia...
float64 with pandas to_csv
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df.to_csv('pandasfile.csv', float_format='%.3f')
or, if you don't want 0.0001 to be rounded to zero:
df.to_csv('pandasfile.csv', float_format='%g')
will give you:
Bob,0.085
Alice,0.005
in your output file.
For an explanation of %g, see Format Specification Mini-Language.
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