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php中json_decode()和json_encode()的使用方法 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...de()和json_encode()的使用方法1.json_decode()json_decode(PHP 5 >= 5.2.0, PECL json >= 1.2.0)json_decode — 对 JSON 格式的字符串进行编码说明mixed jso...1.json_decode()
(PHP 5 >= 5.2.0, PECL json >= 1.2.0)
对 JSON 格式的字符串进行编码
说明：
mixed json_decode ...
startsWith() and endsWith() functions in PHP
...eedle ) {
$length = strlen( $needle );
return substr( $haystack, 0, $length ) === $needle;
}
function endsWith( $haystack, $needle ) {
$length = strlen( $needle );
if( !$length ) {
return true;
}
return substr( $haystack, -$length ) === $needle;
}
Use this if you ...
How to reshape data from long to wide format
...
answered May 4 '11 at 23:20
ChaseChase
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...
Compare two DataFrames and output their differences side-by-side
... rows are empty*:
In [21]: ne = (df1 != df2).any(1)
In [22]: ne
Out[22]:
0 False
1 True
2 True
dtype: bool
Then we can see which entries have changed:
In [23]: ne_stacked = (df1 != df2).stack()
In [24]: changed = ne_stacked[ne_stacked]
In [25]: changed.index.names = ['id', 'col']
...
HTML5 Email Validation
...
120
In HTML5 you can do like this:
<form>
<input type="email" placeholder="Enter your emai...
How to define different dependencies for different product flavors
...
190
To define a flavor specific dependency you can use proCompile instead of compile in your depende...
Find element's index in pandas Series
...
10 Answers
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How do I achieve the theoretical maximum of 4 FLOPs per cycle?
...
+150
I've done this exact task before. But it was mainly to measure power consumption and CPU temperatures. The following code (which is fa...
Can I change the viewport meta tag in mobile safari on the fly?
...]");
viewport.setAttribute('content', 'width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0');
Just change the parts you need and Mobile Safari will respect the new settings.
Update:
If you don't already have the meta viewport tag in the source, you can append it directly wi...
Change column type from string to float in Pandas
...
+200
You have four main options for converting types in pandas:
to_numeric() - provides functionality to safely convert non-numeric types...