Reputation: 639
I have an array bed_times
with Time
instances in UTC format:
bed_times = [
Time.utc(2015, 12, 10, 5, 58, 24),
Time.utc(2015, 12, 9, 3, 35, 28),
Time.utc(2015, 12, 8, 6, 32, 26),
Time.utc(2015, 12, 7, 1, 43, 28),
Time.utc(2015, 12, 5, 7, 49, 30),
Time.utc(2015, 12, 04, 7, 2, 30)
]
#=> [2015-12-10 05:58:24 UTC,
# 2015-12-09 03:35:28 UTC,
# 2015-12-08 06:32:26 UTC,
# 2015-12-07 01:43:28 UTC,
# 2015-12-05 07:49:30 UTC,
# 2015-12-04 07:02:30 UTC]
I am trying to get the average bedtime, but I'm not getting the correct result
ave = Time.at(bed_times.map(&:to_f).inject(:+) / bed_times.size)
result is
2015-12-07 01:26:57 -0800
which is not correct. Also, I want to then convert the average time to a different time zone
I tried
Time.zone = 'Pacific Time (US & Canada)'
Time.zone.parse(ave.to_s)
2015-12-07 01:26:57 -0800
This is not correct either.
Upvotes: 3
Views: 771
Reputation: 110725
As I understand, you are given an array arr
that contains the UTC times of bedtimes in areas that are on PST time. You wish to compute the average bedtime.
Code
def avg_bedtime(arr)
avg = Time.at(arr.reduce(0) do |t,s|
lt = Time.parse(s).localtime("-08:00")
t + Time.new(2000, 1, (lt.hour < 12) ? 2 : 1, lt.hour, lt.min, lt.sec, "-08:00").to_f
end/arr.size)
"%d:%d:%d" % [avg.hour, avg.min, avg.sec]
end
Example
arr = ["2015-12-10 08:58:24 UTC", "2015-12-09 03:35:28 UTC",
"2015-12-08 06:32:26 UTC", "2015-12-07 01:43:28 UTC",
"2015-12-05 07:49:30 UTC", "2015-12-04 07:02:30 UTC"]
I've changed the first time in this array to make it more interesting.
avg_bedtime(arr)
#=> "21:56:57"
Explanation
Let's begin by converting these strings to time objects:
utc = arr.map { |s| Time.parse(s) }
#=> [2015-12-10 08:58:24 UTC, 2015-12-09 03:35:28 UTC, 2015-12-08 06:32:26 UTC,
# 2015-12-07 01:43:28 UTC, 2015-12-05 07:49:30 UTC, 2015-12-04 07:02:30 UTC]
Recalling that PST is 8 hours later than UTC, we can use Time.localtime to convert to PST:
pst = utc.map { |t| t.localtime("-08:00") }
#=> [2015-12-10 00:58:24 -0800, 2015-12-08 19:35:28 -0800,
# 2015-12-07 22:32:26 -0800, 2015-12-06 17:43:28 -0800,
# 2015-12-04 23:49:30 -0800, 2015-12-03 23:02:30 -0800]
I will refer to bedtimes before noon to be "late" bedtimes and those later in the day to be "early" bedtimes. (This is of course arbitrary. If, for example, some of the individuals are shift workers, this could be a problem.) As you see, the first element of pst
is a late bedtime and all others are early bedtimes.
I will now convert these time objects to time objects having the same time of day but a different date. Early bedtime objects will be assigned an arbitrary date (say, January 1, 2000
) and late bedtime objects will be one day later (January 2, 2000
):
adj = pst.map { |t| Time.new(2000, 1, (t.hour < 12) ? 2 : 1, t.hour, t.min, t.sec, "-08:00") }
#=> [2000-01-02 00:58:24 -0800, 2000-01-01 19:35:28 -0800, 2000-01-01 22:32:26 -0800,
# 2000-01-01 17:43:28 -0800, 2000-01-01 23:49:30 -0800, 2000-01-01 23:02:30 -0800]
We can now convert the time objects to seconds since the epoch:
secs = adj.map { |t| t.to_f }
#=> [946803504.0, 946784128.0, 946794746.0, 946777408.0, 946799370.0, 946796550.0]
compute the average:
avg = secs.reduce(:+)/arr.size
#=> 946792617.6666666
convert back to a time object for the PST zone:
tavg = Time.at(avg)
#=> 2000-01-01 21:56:57 -0800
and, lastly, extract the time of day:
"%d:%d:%d" % [tavg.hour, tavg.min, tavg.sec]
# "21:56:57
Upvotes: 0
Reputation: 5197
You have to calculate the average on the gap from midnight.
A not elegant (but fast) solution could be:
# Keep only time
bed_times.map! { |bt| Time.parse(bt.split(" ")[1]) }
# calculate the gap from 00:00:00
gap_from_midnight = bed_times.map do |bt|
if bt > Time.parse("12:00:00")
gap = (bt.to_f - Time.parse("24:00:00").to_f)
else
gap = (bt.to_f - Time.parse("00:00:00").to_f)
end
gap.to_i
end
# average in sec
avg_in_sec = gap_from_midnight.inject(:+) / bed_times.size
# average in UTC time zone
avg = Time.at(avg_in_sec).utc # => 1970-01-01 05:26:57 UTC (result for bed_times array)
# average in PST time zone (see note)
avg_pst = Time.parse(avg.to_s).in_time_zone("Pacific Time (US & Canada)") # => Wed, 31 Dec 1969 21:26:57 PST -08:00 (result for bed_times array)
# Keep only time
avg_pst.strftime("%H:%M:%S") # => "21:26:57" (result for bed_times array)
With your bed_times
array (with the values as a string)
bed_times = [
"2015-12-10 05:58:24 UTC",
"2015-12-09 03:35:28 UTC",
"2015-12-08 06:32:26 UTC",
"2015-12-07 01:43:28 UTC",
"2015-12-05 07:49:30 UTC",
"2015-12-04 07:02:30 UTC"
]
the average is :
05:26:57
in UTC zone 21:26:57
in PST zoneWith another array like this
bed_times = [
"2015-12-10 01:00:00 UTC",
"2015-12-09 23:00:00 UTC",
"2015-10-19 18:00:00 UTC",
]
the average is:
22:00:00
in UTC zone14:00:00
in PST zonenote: .in_time_zone
is a helper from ActiveSupport::TimeWithZone
http://api.rubyonrails.org/classes/ActiveSupport/TimeWithZone.html
Upvotes: 2