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How do I select elements of an array given condition?
Suppose I have a numpy array x = [5, 2, 3, 1, 4, 5] , y = ['f', 'o', 'o', 'b', 'a', 'r'] . I want to select the elements in y corresponding to elements in x that are greater than 1 and less than 5.
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Extracting specific columns in numpy array
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cs95
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answered Dec 5 '11 at 14:24
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Python: fastest way to create a list of n lists
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Stream.Seek(0, SeekOrigin.Begin) or Position = 0
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answered Aug 30 '11 at 5:22
gordygordy
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How to join absolute and relative urls?
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answered Nov 22 '11 at 8:35
Cédric JulienCédric Julien
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What do the different readystates in XMLHttpRequest mean, and how can I use them?
XMLHttpRequest has 5 readyState s, and I only use 1 of them (the last one, 4 ).
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Generate random numbers with a given (numerical) distribution
....random.choice(), e.g.
numpy.random.choice(numpy.arange(1, 7), p=[0.1, 0.05, 0.05, 0.2, 0.4, 0.2])
If you are using Python 3.6 or above, you can use random.choices() from the standard library – see the answer by Mark Dickinson.
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Enable 'xp_cmdshell' SQL Server
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You need to enable it. Check out the Permission section of the xp_cmdshell MSDN docs:
http://m...
Mercurial move changes to a new branch
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As suggested by Mark, the MqExtension is one solution for you problem. IMHO a simpler workflow ...