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Annotating text on individual facet in ggplot2

...:24 Andy 3,8192828 silver badges2626 bronze badges answered Aug 9 '12 at 18:34 joranjoran ...
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apc vs eaccelerator vs xcache

... answered May 31 '09 at 0:28 David Snabel-CauntDavid Snabel-Caunt 55.4k1212 gold badges107107 silver badges132132 bronze badges ...
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Making a triangle shape using xml definitions?

...use: ... android:fromDegrees="45" android:toDegrees="45" android:pivotX="13%" android:pivotY="-40%" > ... And to create an arrow pointing like <-- use: android:fromDegrees="45" android:toDegrees="45" android:pivotX="87%" android:pivotY="140%" > ...
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Calculating moving average

... answered Apr 13 '09 at 13:06 f3lixf3lix 27.1k1010 gold badges6161 silver badges8181 bronze badges ...
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Array extension to remove object by value

... self.removeAtIndex(index) } } } Example: var ar = [1, 2, 3, 2] ar.removeObject(2) print(ar) // [1, 3, 2] Update for Swift 2 / Xcode 7 beta 2: As Airspeed Velocity noticed in the comments, it is now actually possible to write a method on a generic type that is more restrictive on...
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Inserting HTML into a div

...everyone did this! – Enrico Aug 1 '13 at 12:39 add a comment  |  ...
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Correct way to populate an Array with a Range in Ruby

... 363 You can create an array with a range using splat, >> a=*(1..10) => [1, 2, 3, 4, 5, 6...
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Custom error pages on asp.net MVC3

I'm developing a MVC3 base website and I am looking for a solution for handling errors and Render custom Views for each kind of error. So imagine that I have a "Error" Controller where his main action is "Index" (generic error page) and this controller will have a couple more actions for the errors ...
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surface plots in matplotlib

I have a list of 3-tuples representing a set of points in 3D space. I want to plot a surface that covers all these points. ...
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Create numpy matrix filled with NaNs

...ed array and assign to all entries at once: >>> a = numpy.empty((3,3,)) >>> a[:] = numpy.nan >>> a array([[ NaN, NaN, NaN], [ NaN, NaN, NaN], [ NaN, NaN, NaN]]) I have timed the alternatives a[:] = numpy.nan here and a.fill(numpy.nan) as posted by ...