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Finding local maxima/minima with Numpy in a 1D numpy array
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bobrobbob
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answered Jan 7 '11 at 11:41
Sven MarnachSven Marnach
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How to make rounded percentages add up to 100%
...ff = target - _.reduce(l, function(acc, x) { return acc + Math.round(x) }, 0);
return _.chain(l).
sortBy(function(x) { return Math.round(x) - x }).
map(function(x, i) { return Math.round(x) + (off > i) - (i >= (l.length + off)) }).
value();
}
foo([13.62...
How can I shrink the drawable on a button?
...rawable = getResources().getDrawable(R.drawable.s_vit);
drawable.setBounds(0, 0, (int)(drawable.getIntrinsicWidth()*0.5),
(int)(drawable.getIntrinsicHeight()*0.5));
ScaleDrawable sd = new ScaleDrawable(drawable, 0, scaleWidth, scaleHeight);
Button btn = findViewbyId(R.id.yo...
Why doesn't println! work in Rust unit tests?
...in.rs; ./main
running 1 test
test test ... ok
test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured
% ./main --nocapture
running 1 test
Hidden output
test test ... ok
test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured
% cargo test -- --nocapture
running 1 test
Hidden output
test ...
How to count total lines changed by a specific author in a Git repository?
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320
The output of the following command should be reasonably easy to send to script to add up the to...
How can I easily view the contents of a datatable or dataview in the immediate window
...Set, expand the quick watch, view the Tables, expand that, then view Table[0] (for example). You will see something like {Table1} in the quick watch, but notice that there is also a magnifying glass icon. Click on that icon and your DataTable will open up in a grid view.
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Using bitwise OR 0 to floor a number
...egers only
Odd Comparative behavior: Math.floor(NaN) === NaN, while (NaN | 0) === 0
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Generate a random double in a range
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edited Sep 27 '15 at 18:03
answered Sep 9 '10 at 21:17
mo...
Should I return EXIT_SUCCESS or 0 from main()?
...eing conflicting answers: should the main routine of a C++ program return 0 or EXIT_SUCCESS ?
8 Answers
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Creating a zero-filled pandas data frame
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140
You can try this:
d = pd.DataFrame(0, index=np.arange(len(data)), columns=feature_list)
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