大约有 37,000 项符合查询结果(耗时:0.0386秒) [XML]
Getting LaTeX into R Plots
...
answered Sep 12 '09 at 1:11
Christopher DuBoisChristopher DuBois
36.7k2323 gold badges6565 silver badges9191 bronze badges
...
How to check if smtp is working from commandline (Linux) [closed]
...
edited Aug 15 '19 at 16:20
rogerdpack
46.2k3030 gold badges200200 silver badges315315 bronze badges
ans...
Java 8: performance of Streams vs Collections
...Vanilla.N)
public class StreamVsVanilla {
public static final int N = 10000;
static List<Integer> sourceList = new ArrayList<>();
static {
for (int i = 0; i < N; i++) {
sourceList.add(i);
}
}
@Benchmark
public List<Double> va...
How do I override nested NPM dependency versions?
...on:
{
"dependencies": {
"grunt-contrib-connect": {
"version": "0.3.0",
"from": "grunt-contrib-connect@0.3.0",
"dependencies": {
"connect": {
"version": "2.8.1",
"from": "connect@~2.7.3"
}
}
}
}
}
npm should automatically pick i...
jquery if div id has children
...
if ( $('#myfav').children().length > 0 ) {
// do something
}
This should work. The children() function returns a JQuery object that contains the children. So you just need to check the size and see if it has at least one child.
...
How to add item to the beginning of List?
...
Use the Insert method:
ti.Insert(0, initialItem);
share
|
improve this answer
|
follow
|
...
Numpy index slice without losing dimension information
...
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...
How to pass arguments and redirect stdin from a file to program run in gdb?
... |
edited Dec 23 '10 at 17:32
answered Dec 23 '10 at 17:21
...
binning data in python with scipy/numpy
... easier to use numpy.digitize():
import numpy
data = numpy.random.random(100)
bins = numpy.linspace(0, 1, 10)
digitized = numpy.digitize(data, bins)
bin_means = [data[digitized == i].mean() for i in range(1, len(bins))]
An alternative to this is to use numpy.histogram():
bin_means = (numpy.histo...
