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How to create multidimensional array
...ar numeric = [
['input1','input2'],
['input3','input4']
];
numeric[0][0] == 'input1';
numeric[0][1] == 'input2';
numeric[1][0] == 'input3';
numeric[1][1] == 'input4';
var obj = {
'row1' : {
'key1' : 'input1',
'key2' : 'input2'
},
'row2' : {
'key3' : 'inpu...
Obfuscated C Code Contest 2006. Please explain sykes2.c
...>> ";;;====~$::199"[_*2&8|_/64]/(_&2?1:8)%8&1
: 10);
}
Introducing variables to untangle this mess:
main(int i) {
if(i^448)
main(-~i);
if(--i % 64) {
char a = -~7[__TIME__-i/8%8][">'txiZ^(~z?"-48];
char b = a >> ";;;====~$::199"[i...
Split (explode) pandas dataframe string entry to separate rows
... for _, row in a.iterrows()]).reset_index()
Out[55]:
index 0
0 a 1
1 b 1
2 c 1
3 d 2
4 e 2
5 f 2
Then you just have to rename the columns
share
|
impr...
How can I add a box-shadow on one side of an element?
...the box-shadow rule:
.myDiv
{
border: 1px solid #333;
width: 100px;
height: 100px;
box-shadow: 10px 0 5px -2px #888;
}
<div class="myDiv"></div>
The fourth property there -2px is the shadow spread, you can use it to change the spread of the shadow, making it a...
Converting strings to floats in a DataFrame
...) or pd.to_numeric as described in other
answers.
This is available in 0.11. Forces conversion (or set's to nan)
This will work even when astype will fail; its also series by series
so it won't convert say a complete string column
In [10]: df = DataFrame(dict(A = Series(['1.0','1']), B = Series...
How to create the most compact mapping n → isprime(n) up to a limit N?
...ent every odd number with one bit e.g. for the given range of numbers (1, 10], starts at 3: 1110
31 Answers
...
Moving decimal places over in a double
...
190
If you use double or float, you should use rounding or expect to see some rounding errors. If yo...
Detect if value is number in MySQL
...
answered Feb 21 '11 at 10:47
RichardTheKiwiRichardTheKiwi
96.3k2323 gold badges178178 silver badges250250 bronze badges
...
What does axis in pandas mean?
...
It specifies the axis along which the means are computed. By default axis=0. This is consistent with the numpy.mean usage when axis is specified explicitly (in numpy.mean, axis==None by default, which computes the mean value over the flattened array) , in which axis=0 along the rows (namely, index ...
App Inventor 2 数学代码块 · App Inventor 2 中文网
...代码块
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