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Case preserving substitute in Vim
...toMark Lodato
37.4k55 gold badges3737 silver badges3030 bronze badges
16
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Validate phone number with JavaScript
...alidates that the phone number is in one of these formats:
(123) 456-7890 or 123-456-7890
26 Answers
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How to count the number of true elements in a NumPy bool array
...xample:
>>> import numpy as np
>>> boolarr = np.array([[0, 0, 1], [1, 0, 1], [1, 0, 1]], dtype=np.bool)
>>> boolarr
array([[False, False, True],
[ True, False, True],
[ True, False, True]], dtype=bool)
>>> np.sum(boolarr)
5
Of course, that is ...
Count work days between two dates
...
306
For workdays, Monday to Friday, you can do it with a single SELECT, like this:
DECLARE @StartD...
Count occurrences of a char in plain text file
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edited Oct 21 '09 at 21:45
answered Oct 21 '09 at 21:37
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Making WPF applications look Metro-styled, even in Windows 7? (Window Chrome / Theming / Theme)
...
+100
What I did was creating my own Window and Style. Because I like to have control over everything and I didn't want some external libra...
Multi-gradient shapes
...ze(int width, int height) {
LinearGradient lg = new LinearGradient(0, 0, width, height,
new int[]{Color.GREEN, Color.GREEN, Color.WHITE, Color.WHITE},
new float[]{0,0.5f,.55f,1}, Shader.TileMode.REPEAT);
return lg;
}
};
PaintDrawable p=new PaintDrawable()...
How to remove convexity defects in a Sudoku square?
...Y = ImageMultiply[MorphologicalBinarize[GaussianFilter[srcAdjusted, 3, {2, 0}], {0.02, 0.05}], mask];
lX = ImageMultiply[MorphologicalBinarize[GaussianFilter[srcAdjusted, 3, {0, 2}], {0.02, 0.05}], mask];
I use connected component analysis again to extract the grid lines from these images. The g...
What is the “-->” operator in C++?
...ised that the following snippet compiled and worked in both Visual Studio 2008 and G++ 4.4.
25 Answers
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Conditional Replace Pandas
...
.ix indexer works okay for pandas version prior to 0.20.0, but since pandas 0.20.0, the .ix indexer is deprecated, so you should avoid using it. Instead, you can use .loc or iloc indexers. You can solve this problem by:
mask = df.my_channel > 20000
column_name = 'my_chann...