[1, 1, 1, 2, 3].mode
=> 1
['cat', 'dog', 'snake', 'dog'].mode
=> dog
问题:
回答1:
First build a hash mapping each value in the array to its frequency…
arr = [1, 1, 1, 2, 3]
freq = arr.inject(Hash.new(0)) { |h,v| h[v] += 1; h }
#=> {1=>3, 2=>1, 3=>1}
… then use the frequency table to find the element with the highest frequency:
arr.max_by { |v| freq[v] }
#=> 1
回答2:
While I adore the grep solution for its elegance and for reminding (or teaching) me about a method in Enumerable that I'd forgotten (or overlooked completely), it's slow, slow, slow. I agree 100% that creating the Array#mode
method is a good idea, however - this is Ruby, we don't need a library of functions that act on arrays, we can create a mixin that adds the necessary functions into the Array class itself.
But the inject(Hash) alternative uses a sort, which we also don't really need: we just want the value with the highest occurrence.
Neither of the solutions address the possibility that more than one value may be the mode. Maybe that's not an issue in the problem as stated (can't tell). I think I'd want to know if there was a tie, though, and anyway, I think we can improve a little on the performance.
require 'benchmark'
class Array
def mode1
sort_by {|i| grep(i).length }.last
end
def mode2
freq = inject(Hash.new(0)) { |h,v| h[v] += 1; h }
sort_by { |v| freq[v] }.last
end
def mode3
freq = inject(Hash.new(0)) { |h,v| h[v] += 1; h }
max = freq.values.max # we're only interested in the key(s) with the highest frequency
freq.select { |k, f| f == max } # extract the keys that have the max frequency
end
end
arr = Array.new(1_000) { |i| rand(100) } # something to test with
Benchmark.bm(30) do |r|
res = {}
(1..3).each do |i|
m = "mode#{i}"
r.report(m) do
100.times do
res[m] = arr.send(m).inspect
end
end
end
res.each { |k, v| puts "%10s = %s" % [k, v] }
end
And here's output from a sample run.
user system total real
mode1 34.375000 0.000000 34.375000 ( 34.393000)
mode2 0.359000 0.000000 0.359000 ( 0.359000)
mode3 0.219000 0.000000 0.219000 ( 0.219000)
mode1 = 41
mode2 = 41
mode3 = [[41, 17], [80, 17], [72, 17]]
The "optimised" mode3 took 60% of the time of the previous record-holder. Note also the multiple highest-frequency entries.
EDIT
A few months down the line, I noticed Nilesh's answer, which offered this:
def mode4
group_by{|i| i}.max{|x,y| x[1].length <=> y[1].length}[0]
end
It doesn't work with 1.8.6 out of the box, because that version doesn't have Array#group_by. ActiveSupport has it, for the Rails developers, although it seems about 2-3% slower than mode3 above. Using the (excellent) backports gem, though, produces a 10-12% gain, as well as delivering a whole pile of 1.8.7 and 1.9 extras.
The above applies to 1.8.6 only - and mainly only if installed on Windows. Since I have it installed, here's what you get from IronRuby 1.0 (on .NET 4.0):
========================== IronRuby =====================================
(iterations bumped to **1000**) user system total real
mode1 (I didn't bother :-))
mode2 4.265625 0.046875 4.312500 ( 4.203151)
mode3 0.828125 0.000000 0.828125 ( 0.781255)
mode4 1.203125 0.000000 1.203125 ( 1.062507)
So in the event that performance is super-critical, benchmark the options on your Ruby version & OS. YMMV.
回答3:
array.max_by { |i| array.count(i) }
回答4:
Mike: I found a faster method. Try this:
class Array
def mode4
group_by{|i| i}.max{|x,y| x[1].length <=> y[1].length}[0]
end
end
The Benchmark output:
user system total real
mode1 24.340000 0.070000 24.410000 ( 24.526991)
mode2 0.200000 0.000000 0.200000 ( 0.195348)
mode3 0.120000 0.000000 0.120000 ( 0.118200)
mode4 0.050000 0.010000 0.060000 ( 0.056315)
mode1 = 76
mode2 = 76
mode3 = [[76, 18]]
mode4 = 76
回答5:
arr = [ 1, 3, 44, 3 ]
most_frequent_item = arr.uniq.max_by{ |i| arr.count( i ) }
puts most_frequent_item
#=> 3
No need to even think about frequency mappings.
回答6:
This is a duplicate of this question: Ruby - Unique elements in Array
Here is that question's solution:
group_by { |n| n }.values.max_by(&:size).first
That version seems to be even faster than Nilesh C's answer. Here is the code I used to benchmark it (OS X 10.6 Core 2 2.4GHz MB).
Kudos to Mike Woodhouse for the (original) benchmarking code:
class Array
def mode1
group_by { |n| n }.values.max_by(&:size).first
end
def mode2
freq = inject(Hash.new(0)) { |h,v| h[v] += 1; h }
max = freq.values.max # we're only interested in the key(s) with the highest frequency
freq.select { |k, f| f == max } # extract the keys that have the max frequency
end
end
arr = Array.new(1_0000) { |i| rand(100000) } # something to test with
Benchmark.bm(30) do |r|
(1..2).each do |i| r.report("mode#{i}") { 100.times do arr.send("mode#{i}").inspect; end }; end
end
And here are the results of the benchmark:
user system total real
mode1 1.830000 0.010000 1.840000 ( 1.876642)
mode2 2.280000 0.010000 2.290000 ( 2.382117)
mode1 = 70099
mode2 = [[70099, 3], [70102, 3], [51694, 3], [49685, 3], [38410, 3], [90815, 3], [30551, 3], [34720, 3], [58373, 3]]
As you can see, this version is about 20% faster with the caveat of ignoring ties. I also like the succinctness, I personally use it as-is without monkey patching all over the place. :)
回答7:
if you are trying to avoid learning #inject (which you should not do...)
words = ['cat', 'dog', 'snake', 'dog']
count = Hash.new(0)
words.each {|word| count[word] += 1}
count.sort_by { |k,v| v }.last
but if I read this answer before, now I would know nothing about #inject and man, you need to know about #inject.
回答8:
idx = {}
[2,2,1,3,1].each { |i| idx.include?(i) ? idx[i] += 1 : idx[i] = 1}
This is just a simple indexer. You could replace the [2,2,1..] array with any sort of symbol/string based identifier, this wouldn't work with objects, you'd need to introduce a bit more complexity, but this is simple enough.
rereading your questions, this solution is a bit over-engineered since its going to return you an index of all occurrences, not just the one with the most.
回答9:
Here's another version that does give you the ties as a mode should:
def mode
group_by {|x| x}.group_by {|k,v| v.size}.sort.last.last.map(&:first)
end
In other words, group the values, then group those kv pairs by the number of values, then sort those kv pairs, take the last (highest) size-group, and then unwind its values. I like group_by
.
回答10:
def mode(array)
count = [] # Number of times element is repeated in array
output = []
array.compact!
unique = array.uniq
j=0
unique.each do |i|
count[j] = array.count(i)
j+=1
end
k=0
count.each do |i|
output[k] = unique[k] if i == count.max
k+=1
end
return output.compact.inspect
end
p mode([3,3,4,5]) #=> [3]
p mode([1,2,3]) #=> [1,2,3]
p mode([0,0,0,0,0,1,2,3,3,3,3,3]) #=> [0,3]
p mode([-1,-1,nil,nil,nil,0]) #=> [-1]
p mode([-2,-2,3,4,5,6,7,8,9,10,1000]) #=> [-2]