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How do you add swap to an EC2 instance?
...
10 Answers
10
Active
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What's the difference between “groups” and “captures” in .NET regular expressions?
...ew value. Not .NET, which will keep this history and places it in Captures[0].
If we change your regex to look as follows:
MatchCollection matches = Regex.Matches("{Q}{R}{S}", @"(\{[A-Z]\})+");
you will notice that the first Group will have one Captures (the first group always being the whole m...
How do I get Flask to run on port 80?
I have a Flask server running through port 5000, and it's fine. I can access it at http://example.com:5000
14 Answers
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How to convert index of a pandas dataframe into a column?
...either:
df['index1'] = df.index
or, .reset_index:
df.reset_index(level=0, inplace=True)
so, if you have a multi-index frame with 3 levels of index, like:
>>> df
val
tick tag obs
2016-02-26 C 2 0.0139
2016-02-27 A 2 0.5577
2016-02-28 C ...
Detail change after Git pull
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209
Suppose you're pulling to master. You can refer to the previous position of master by master@{1...
Returning value from called function in a shell script
... echo >&2 "successfully acquired lock: $lockdir"
retval=0
else
echo >&2 "cannot acquire lock, giving up on $lockdir"
retval=1
fi
return "$retval"
}
testlock
retval=$?
if [ "$retval" == 0 ]
then
echo "directory not created"
else
echo ...
How to initialize all members of an array to the same value?
...
Unless that value is 0 (in which case you can omit some part of the initializer
and the corresponding elements will be initialized to 0), there's no easy way.
Don't overlook the obvious solution, though:
int myArray[10] = { 5, 5, 5, 5, 5, 5, 5,...
How to identify numpy types in python?
... numpy enough type?
– panda-34
Mar 10 '16 at 13:02
If you want anything in numpy.* you just walk the parent package of...
Code Golf: Lasers
...
Perl, 166 160 characters
Perl, 251 248 246 222 214 208 203 201 193 190 180 176 173 170 166 --> 160 chars.
Solution had 166 strokes when this contest ended, but A. Rex has found a couple ways to shave off 6 more characters:
s!.!$t{...
Iterating over a numpy array
...>>> for (x,y), value in numpy.ndenumerate(a):
... print x,y
...
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...