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How to normalize an array in NumPy?
... answered Jan 9 '14 at 21:15
ali_mali_m
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Print string to text file
...
text_file = open("Output.txt", "w")
text_file.write("Purchase Amount: %s" % TotalAmount)
text_file.close()
If you use a context manager, the file is closed automatically for you
with open("Output.txt", "w") as text_file:
t...
iOS start Background Thread
...ou'd probably be better off using Grand Central Dispatch, though:
dispatch_async(dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_DEFAULT, 0), ^{
[self getResultSetFromDB:docids];
});
GCD is a newer technology, and is more efficient in terms of memory overhead and lines of code.
Updated w...
Quick and easy file dialog in Python?
...a UI, but right now I'm prompting the user for the file to parse using raw_input which is most unfriendly, especially because the user can't copy/paste the path. I would like a quick and easy way to present a file selection dialog to the user, they can select the file, and then it's loaded to the...
Random row selection in Pandas dataframe
... Thanks @eumiro. I also worked out that df.ix[np.random.random_integers(0, len(df), 10)] would also work.
– John
Apr 10 '13 at 10:58
7
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How to set environment variables in Jenkins?
...red May 16 '12 at 20:28
malenkiy_scotmalenkiy_scot
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transform object to array with lodash
...
You can do
var arr = _.values(obj);
For documentation see here.
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UICollectionView current visible cell index
...ndexPath);
}
}
Update to Swift 5:
func scrollViewDidEndDecelerating(_ scrollView: UIScrollView) {
for cell in yourCollectionView.visibleCells {
let indexPath = yourCollectionView.indexPath(for: cell)
print(indexPath)
}
}
...
Equivalent C++ to Python generator pattern
...:
// (implicit aliases)
public std::iterator<
std::input_iterator_tag,
std::pair<unsigned, unsigned>
>
{
// C++03
typedef void (PairSequence::*BoolLike)();
void non_comparable();
public:
// C++11 (explicit aliases)
using iterator_category = std::inpu...
Changing a specific column name in pandas DataFrame
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A one liner does exist:
In [27]: df=df.rename(columns = {'two':'new_name'})
In [28]: df
Out[28]:
one three new_name
0 1 a 9
1 2 b 8
2 3 c 7
3 4 d 6
4 5 e 5
Following is the docstring for the rename method.
De...