roslinazairimah zakaria
2022-Jul-19 08:53 UTC
[R] Extract time and state of charge (Start and End) and Count
Hi Rui, Yes, I would like to count for each hour, how many in the state of charge start 0 and SOC 12, then SOC 1 and SOC 12 and so on. Thank you for your help. On Tue, Jul 19, 2022 at 1:11 AM Rui Barradas <ruipbarradas at sapo.pt> wrote:> Hello, > > I'm not sure I understand the problem. Do you want counts of how many > rows are there per hour? > > > # these columns need to be fixed > cols <- c("BatteryChargeStartDate", "BatteryChargeStopDate") > dt_2014[cols] <- lapply(dt_2014[cols], \(x) sub("\n", " ", x)) > # use package lubridate to coerce to a datetime class > dt_2014[cols] <- lapply(dt_2014[cols], lubridate::dmy_hm) > > h <- lubridate::hour(dt_2014[["BatteryChargeStartDate"]]) > aggregate(Starting_SoC_of_12 ~ h, dt_2014, length) > > > > It would be better if you post the expected output corresponding to the > posted data set. > > Hope this helps, > > Rui Barradas > > ?s 05:04 de 18/07/2022, roslinazairimah zakaria escreveu: > > Dear all, > > > > I have data of Battery Electric vehicle (BEV). I would like to extract > data > > from every hour starting from 0.00 to 0.59, 1:00-1:59 for SOC(state of > > charge) start to end. > > > > Some examples: > > I can extract data from SOC=0 and SOC=12 > > dt_2014[which(dt_2014$Starting_SoC_of_12==0 & > > dt_2014$Ending_SoC_of_12==12),] > > > > I can extract data from SOC=1 and SOC=12 > > dt_2014[which(dt_2014$Starting_SoC_of_12==1 & > > dt_2014$Ending_SoC_of_12==12),] > > > > and I would like to further categorise the data by hour and count how > many > > cars from 0 state charge to 12 state charge at in that particular hour. > > > > Thank you so much for any help given. > > > > Some data > >> dput(dt_2014[1:10,]) > > structure(list(?..CarID = c("GC10", "GC10", "GC10", "GC10", "GC10", > > "GC10", "GC10", "GC10", "GC10", "GC10"), BatteryChargeStartDate > > c("16/2/2014 16:05", > > "16/2/2014 18:20", "17/2/2014 8:10", "18/2/2014 7:41", "18/2/2014 15:36", > > "18/2/2014 16:36", "18/2/2014 21:26", "19/2/2014 8:57", "19/2/2014 > 21:08", > > "20/2/2014 18:11"), BCStartTime = c("16:05", "18:20", "8:10", > > "7:41", "15:36", "16:36", "21:26", "8:57", "21:08", "18:11"), > > Year = c(2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, > > 2014L, 2014L, 2014L), Month = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, > > 2L, 2L, 2L), Day = c(16L, 16L, 17L, 18L, 18L, 18L, 18L, 19L, > > 19L, 20L), BatteryChargeStopDate = c("16/2/2014 17:05", "16/2/2014 > > 19:00", > > "17/2/2014 15:57", "18/2/2014 9:52", "18/2/2014 15:39", "18/2/2014 > > 17:36", > > "19/2/2014 1:55", "19/2/2014 14:25", "20/2/2014 5:17", "20/2/2014 > 23:20" > > ), BCStopTime = c("17:05", "19:00", "15:57", "9:52", "15:39", > > "17:36", "1:55", "14:25", "5:17", "23:20"), Year2 = c(2014L, > > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L > > ), Month2 = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), Day2 = c(16L, > > 16L, 17L, 18L, 18L, 18L, 19L, 19L, 20L, 20L), Starting_SoC_of_12 > > c(1L, > > 2L, 4L, 5L, 4L, 2L, 8L, 8L, 4L, 8L), Ending_SoC_of_12 = c(11L, > > 11L, 12L, 8L, 4L, 10L, 12L, 12L, 12L, 12L)), row.names = c(NA, > > 10L), class = "data.frame") > > > > >-- *Roslinazairimah Zakaria* *Tel: +609-5492370; Fax. No.+609-5492766* *Email: roslinazairimah at ump.edu.my <roslinazairimah at ump.edu.my>; roslinaump at gmail.com <roslinaump at gmail.com>* Faculty of Industrial Sciences & Technology University Malaysia Pahang Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia [[alternative HTML version deleted]]
roslinazairimah zakaria
2022-Jul-19 15:10 UTC
[R] Extract time and state of charge (Start and End) and Count
Hi Rui,
I try to run your code, but all data became NA. Not sure why...
# these columns need to be fixed
cols <- c("BatteryChargeStartDate",
"BatteryChargeStopDate")
dt[cols] <- lapply(dt[cols], \(x) sub("\n", " ", x))
# use package lubridate to coerce to a datetime class
library(lubridate)
dt <- lapply(dt, lubridate::dmy_hm)
dt
dt[cols] <- lapply(dt[cols], lubridate::dmy_hm)
h <- lubridate::hour(dt[["BatteryChargeStartDate"]])
aggregate(Starting_SoC_of_12 ~ h, dt, length)
$BCStartTime
[1] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[33] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[65] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[97] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[129] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[161] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[193] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[225] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[257] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[289] NA NA NA NA NA NA NA NA
[929] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[961] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[993] NA NA NA NA NA NA NA NA
[ reached 'max' / getOption("max.print") -- omitted 34418
entries ]
> dt[cols] <- lapply(dt[cols], lubridate::dmy_hm)
Warning messages:
1: All formats failed to parse. No formats found.
2: All formats failed to parse. No formats found.>
> h <- lubridate::hour(dt[["BatteryChargeStartDate"]])
> aggregate(Starting_SoC_of_12 ~ h, dt, length)
Error in aggregate.data.frame(lhs, mf[-1L], FUN = FUN, ...) :
no rows to aggregate
On Tue, Jul 19, 2022 at 4:53 PM roslinazairimah zakaria <
roslinaump at gmail.com> wrote:
> Hi Rui,
>
> Yes, I would like to count for each hour, how many in the state of charge
> start 0 and SOC 12, then SOC 1 and SOC 12 and so on.
>
> Thank you for your help.
>
> On Tue, Jul 19, 2022 at 1:11 AM Rui Barradas <ruipbarradas at
sapo.pt> wrote:
>
>> Hello,
>>
>> I'm not sure I understand the problem. Do you want counts of how
many
>> rows are there per hour?
>>
>>
>> # these columns need to be fixed
>> cols <- c("BatteryChargeStartDate",
"BatteryChargeStopDate")
>> dt_2014[cols] <- lapply(dt_2014[cols], \(x) sub("\n",
" ", x))
>> # use package lubridate to coerce to a datetime class
>> dt_2014[cols] <- lapply(dt_2014[cols], lubridate::dmy_hm)
>>
>> h <- lubridate::hour(dt_2014[["BatteryChargeStartDate"]])
>> aggregate(Starting_SoC_of_12 ~ h, dt_2014, length)
>>
>>
>>
>> It would be better if you post the expected output corresponding to the
>> posted data set.
>>
>> Hope this helps,
>>
>> Rui Barradas
>>
>> ?s 05:04 de 18/07/2022, roslinazairimah zakaria escreveu:
>> > Dear all,
>> >
>> > I have data of Battery Electric vehicle (BEV). I would like to
extract
>> data
>> > from every hour starting from 0.00 to 0.59, 1:00-1:59 for
SOC(state of
>> > charge) start to end.
>> >
>> > Some examples:
>> > I can extract data from SOC=0 and SOC=12
>> > dt_2014[which(dt_2014$Starting_SoC_of_12==0 &
>> > dt_2014$Ending_SoC_of_12==12),]
>> >
>> > I can extract data from SOC=1 and SOC=12
>> > dt_2014[which(dt_2014$Starting_SoC_of_12==1 &
>> > dt_2014$Ending_SoC_of_12==12),]
>> >
>> > and I would like to further categorise the data by hour and count
how
>> many
>> > cars from 0 state charge to 12 state charge at in that particular
hour.
>> >
>> > Thank you so much for any help given.
>> >
>> > Some data
>> >> dput(dt_2014[1:10,])
>> > structure(list(?..CarID = c("GC10", "GC10",
"GC10", "GC10", "GC10",
>> > "GC10", "GC10", "GC10",
"GC10", "GC10"), BatteryChargeStartDate >> >
c("16/2/2014 16:05",
>> > "16/2/2014 18:20", "17/2/2014 8:10",
"18/2/2014 7:41", "18/2/2014
>> 15:36",
>> > "18/2/2014 16:36", "18/2/2014 21:26",
"19/2/2014 8:57", "19/2/2014
>> 21:08",
>> > "20/2/2014 18:11"), BCStartTime = c("16:05",
"18:20", "8:10",
>> > "7:41", "15:36", "16:36",
"21:26", "8:57", "21:08", "18:11"),
>> > Year = c(2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
>> > 2014L, 2014L, 2014L), Month = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,
>> > 2L, 2L, 2L), Day = c(16L, 16L, 17L, 18L, 18L, 18L, 18L, 19L,
>> > 19L, 20L), BatteryChargeStopDate = c("16/2/2014
17:05", "16/2/2014
>> > 19:00",
>> > "17/2/2014 15:57", "18/2/2014 9:52",
"18/2/2014 15:39", "18/2/2014
>> > 17:36",
>> > "19/2/2014 1:55", "19/2/2014 14:25",
"20/2/2014 5:17", "20/2/2014
>> 23:20"
>> > ), BCStopTime = c("17:05", "19:00",
"15:57", "9:52", "15:39",
>> > "17:36", "1:55", "14:25",
"5:17", "23:20"), Year2 = c(2014L,
>> > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L
>> > ), Month2 = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), Day2
>> c(16L,
>> > 16L, 17L, 18L, 18L, 18L, 19L, 19L, 20L, 20L),
Starting_SoC_of_12 >> > c(1L,
>> > 2L, 4L, 5L, 4L, 2L, 8L, 8L, 4L, 8L), Ending_SoC_of_12 =
c(11L,
>> > 11L, 12L, 8L, 4L, 10L, 12L, 12L, 12L, 12L)), row.names =
c(NA,
>> > 10L), class = "data.frame")
>> >
>> >
>>
>
>
> --
> *Roslinazairimah Zakaria*
> *Tel: +609-5492370; Fax. No.+609-5492766*
>
> *Email: roslinazairimah at ump.edu.my <roslinazairimah at
ump.edu.my>;
> roslinaump at gmail.com <roslinaump at gmail.com>*
> Faculty of Industrial Sciences & Technology
> University Malaysia Pahang
> Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia
>
--
*Roslinazairimah Zakaria*
*Tel: +609-5492370; Fax. No.+609-5492766*
*Email: roslinazairimah at ump.edu.my <roslinazairimah at ump.edu.my>;
roslinaump at gmail.com <roslinaump at gmail.com>*
Faculty of Industrial Sciences & Technology
University Malaysia Pahang
Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia
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