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Matplotlib transparent line plots
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Plain and simple:
plt.plot(x, y, 'r-', alpha=0.7)
(I know I add nothing new, but the straightforward answer should be visible).
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Reading output of a command into an array in Bash
...=$'\n' read -r -d '' -a my_array < <( my_command && printf '\0' )
Please make sure you use exactly this form, i.e., make sure you have the following:
IFS=$'\n' on the same line as the read statement: this will only set the environment variable IFS for the read statement only. So it...
How can I change the color of a Google Maps marker?
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answered Mar 18 '10 at 20:00
KevinKevin
12.4k1111 gold badges5353 silver badges8484 bronze badges
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What does it mean when an HTTP request returns status code 0?
...r any other type of HTTP network request, fail with an HTTP status code of 0?
15 Answers
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Iterating over a numpy array
...>>> for (x,y), value in numpy.ndenumerate(a):
... print x,y
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0 0
0 1
1 0
1 1
2 0
2 1
Regarding the performance. It is a bit slower than a list comprehension.
X = np.zeros((100, 100, 100))
%timeit list([((i,j,k), X[i,j,k]) for i in range(X.shape[0]) for j in range(X.shape[1]) for k...
Python中的X[:,0]和X[:,1] - 大数据 & AI - 清泛网 - 专注C/C++及内核技术
Python中的X[:,0]和X[:,1]X[:,0]是numpy中数组的一种写法,表示对一个二维数组,取该二维数组第一维中的所有数据,第二维中取第0个数据,直观来说,X[:,0]就是取所有 X[:,0]是numpy中数组的一种写法,表示对一个二维数组,取该二维...
C++ auto keyword. Why is it magic?
...r templates on any compiler that even sort of attempted to implement C++98/03. As such, adding support for auto was apparently fairly easy for essentially all the compiler teams--it was added quite quickly, and there seem to have been few bugs related to it either.
When this answer was originally w...
The modulo operation on negative numbers in Python
...nually fix it up by adding 7:
int result = (2 - N) % 7;
return result < 0 ? result + 7 : result;
(See http://en.wikipedia.org/wiki/Modulo_operator for how the sign of result is determined for different languages.)
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What is more efficient? Using pow to square or just multiply it with itself?
... expression) \
double test##num(double b, long loops) \
{ \
double x = 0.0; \
\
boost::posix_time::ptime startTime = now(); \
for (long i=0; i<loops; ++i) \
{ \
x += expression; \
x += expression; \
x += expression; \
x += expression; \
x +=...
Why is this F# code so slow?
A Levenshtein implementation in C# and F#. The C# version is 10 times faster for two strings of about 1500 chars. C#: 69 ms, F# 867 ms. Why? As far as I can tell, they do the exact same thing? Doesn't matter if it is a Release or a Debug build.
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