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Annotating text on individual facet in ggplot2
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edited Aug 9 '12 at 19:24
Andy
3,8192828 silver badges2626 bronze badges
answered Aug 9 '12 a...
What is the maven-shade-plugin used for, and why would you want to relocate Java packages?
...e to fall into a problem: A Qux project is depending on Foo, and also Bar:2.0 (and it cannot use Bar:1.0 because Qux needs to use new feature in Bar:2.0). Here is the dilemma: should Qux use Bar:1.0 (which Qux's code will not work) or Bar:2.0 (which Foo's code will not work)?
In order to solve th...
Ruby max integer
... big they can be.
If you are looking for the machine's size, i.e. 64- or 32-bit, I found this trick at ruby-forum.com:
machine_bytes = ['foo'].pack('p').size
machine_bits = machine_bytes * 8
machine_max_signed = 2**(machine_bits-1) - 1
machine_max_unsigned = 2**machine_bits - 1
If you are look...
Flatten an Array of Arrays in Swift
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Swift >= 3.0
reduce:
let numbers = [[1,2,3],[4],[5,6,7,8,9]]
let reduced = numbers.reduce([], +)
flatMap:
let numbers = [[1,2,3],[4],[5,6,7,8,9]]
let flattened = numbers.flatMap { $0 }
joined:
let numbers = [[1,2,3],[4],[5,6,7,8,9]]
let joined = Array(number...
Numpy index slice without losing dimension information
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edited Nov 23 '17 at 5:53
Atcold
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answ...
Numpy: Divide each row by a vector element
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answered Oct 26 '13 at 2:38
JoshAdelJoshAdel
53.3k2222 gold badges125125 silver badges126126 bronze badges
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No secret option provided to Rack::Session::Cookie warning?
I am running Rails 3.2.3, Ruby 1.9 under Fedora 17. I get this warning, when I run rails s , and how do I fix?
7 Answers
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Intersection of two lists in Bash
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comm -12 <(ls 1) <(ls 2)
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How to slice an array in Bash
...n section in the Bash man page. A[@] returns the contents of the array, :1:2 takes a slice of length 2, starting at index 1.
A=( foo bar "a b c" 42 )
B=("${A[@]:1:2}")
C=("${A[@]:1}") # slice to the end of the array
echo "${B[@]}" # bar a b c
echo "${B[1]}" # a b c
echo "${C...
Pandas get topmost n records within each group
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Did you try df.groupby('id').head(2)
Ouput generated:
>>> df.groupby('id').head(2)
id value
id
1 0 1 1
1 1 2
2 3 2 1
4 2 2
3 7 3 1
4 8 4 1
(Keep in mind that you might nee...