Pandas custom week - datetime

I'm trying to define a custom week for a dataframe.
I have a dataframe with timestamps.
I've read the questions on here regarding isocalendar. While it does the job. It's not what I want.
I'm trying to define the weeks from Friday to Thrusday.
For example:
Friday 2nd Jan 2015 would be the first day of the week.
Thursday 8th Jan 2015 would be the last day of the week.
And this would be week 1.
Is there a way to set a custom weekday? so when I access the the datetime library, I get the result that I expect.
df['Week_Number'] = df['Date'].dt.week

Here's one solution - convert your dates to a Period representing weeks that end on Thursday.
In [39]: df = pd.DataFrame({'Date':pd.date_range('2015-1-1', '2015-12-31')})
In [40]: df['Period'] = df['Date'].dt.to_period('W-THU')
In [41]: df['Week_Number'] = df['Period'].dt.week
In [44]: df.head()
Out[44]:
Date Period Week_Number
0 2015-01-01 2014-12-26/2015-01-01 1
1 2015-01-02 2015-01-02/2015-01-08 2
2 2015-01-03 2015-01-02/2015-01-08 2
3 2015-01-04 2015-01-02/2015-01-08 2
4 2015-01-05 2015-01-02/2015-01-08 2
Note that it follows the same convention as datetimes, where week 1 can be incomplete, so you may have to do a little extra munging if you want 1 to be the first complete week.

Related

stringr::str_replace I want to change the days of the week, for example Monday, Tuesday

In my data frame table, the days of the week are integer type. I want to change the days of the week, for example Monday, Tuesday.
I tried stringr::str_replace()
Please try to capture sample data and desired output next time. I will try based on provided info.
Simple Approach :
Lets say your data has a column weekday with integer values, similar to this- added data just for sample:
df <- data.frame(
days_n =c(1,2,3,4,5,6,7)
,SomeData = c('A','AA','BB','CC','BB','AAA','CCC'))
Then just mutate using wonderful lubridate
df%>%mutate(Weekday = wday(x = days_n,label = T,abbr = T))
will give you :
days_n SomeData Weekday
1 1 A Sun
2 2 AA Mon
3 3 BB Tue
4 4 CC Wed
5 5 BB Thu
6 6 AAA Fri
7 7 CCC Sat
Check wday() in lubridate for more.

R is not giving the correct week number

Hello I am trying to find the week number for a series of date over three years. However R is not giving the correct week number. I am generating a seq of dates from 2016-04-01 to 2019-03-30 and then I am trying to calculate week over three years such that I get the week number 54, 55 , 56 and so on.
However when I check the week 2016-04-03 R shows the week number as 14 where as when cross checked with excel it is the week number 15 and also it simply calculates 7 days and does not reference the actual calendar days. Also the week number starts from 1 for every start of year
The code looks like this
days <- seq(as.Date("2016-04-03"),as.Date("2019-03-30"),'days')
weekdays <- data.frame('days'=days, Month = month(days), week = week(days),nweek = rep(1,length(days)))
This is how the results looks like
days week
2016-04-01 14
2016-04-02 14
2016-04-03 14
2016-04-04 14
2016-04-05 14
2016-04-06 14
2016-04-07 14
2016-04-08 15
2016-04-09 15
2016-04-10 15
2016-04-11 15
2016-04-12 15
However when checked from excel this is what I get
days week
2016-04-01 14
2016-04-02 14
2016-04-03 15
2016-04-04 15
2016-04-05 15
2016-04-06 15
2016-04-07 15
2016-04-08 15
2016-04-09 15
2016-04-10 16
2016-04-11 16
2016-04-12 16
Can someone please help me identify wherever I am going wrong.
Thanks a lot in advance!!
Not anything that you're doing wrong per se, there is just a difference in how R (I presume you're using the lubridate package) and Excel calculate week numbers.
R will calculate week numbers based on the seven day block from 1 January that year; but
Excel calculates week numbers based on a week starting from Sunday.
Taking the first few days of January 2016 for an example. On, Friday, 1 January 2016, both R and Excel will say this is week 1.
On Sunday, 3 January 2016:
this is within the first seven days of the start of the year so R will return week number 1; but
it is a Sunday, so Excel ticks over to week number 2.
Try this:
ifelse(test = weekdays.Date(days[1]) == "Sunday", yes = epiweek(days[1]), no = epiweek(days[1]) + 1) + cumsum(weekdays.Date(days) == "Sunday")
This tests whether the first day is a Sunday or not and returns an appropriate week number starting point, then adds on one more week number each Sunday. Gives the same week number if there's overlap between years.

Pandas previous month begin

Given a dataframe:
df = pd.DataFrame({'c':[0,1,1,2,2,2],'date':pd.to_datetime(['2016-01-01','2016-02-01','2016-03-01','2016-04-01','2016-05-01','2016-06-05'])})
How to get the previous month begin for each date? The below doesn't work for 6/5 and there is some extra time portion.
pd.to_datetime(df['date'], format="%Y%m") + pd.Timedelta(-1,unit='M') + MonthBegin(0)
EDIT
I have a workaround (2 steps back and 1 step forward):
(df['date']+ pd.Timedelta(-2,unit='M')+ MonthBegin(1)).dt.date
Don't like this. There should be something better.
You can first subtract MonthEnd to get to the end of the previous month, then MonthBegin to get to the beginning of the previous month:
df['date'] - pd.offsets.MonthEnd() - pd.offsets.MonthBegin()
The resulting output:
0 2015-12-01
1 2016-01-01
2 2016-02-01
3 2016-03-01
4 2016-04-01
5 2016-05-01

Count days in each month for week overlapping two months

If I had a sequence of weeks, does anyone know of a way to count the days in each corresponding months for a given week, using R.
So if I had a sequence :
week commencing
"2015-04-22"
"2015-04-29"
"2015-05-06"
How could I create the following:
week commencing Days in starting month Days overlapping
"2015-04-22" 7 0
"2015-04-29" 3 4
"2015-05-06" 7 0
I am aware of the lubridate package which has a number of useful associated functions but can't think how to apply them to get the above result.
dates<-as.Date(c("2015-04-22","2015-04-29" ,"2015-05-06"))
f<-Vectorize(function(d){
sum(as.POSIXlt(d+0:6)$mon==as.POSIXlt(d)$mon)
})
Result:
> data.frame(Start=dates,ThisMonth=f(dates),NextMonth=7-f(dates))
Start ThisMonth NextMonth
1 2015-04-22 7 0
2 2015-04-29 2 5
3 2015-05-06 7 0

How to Parse Year + Week Number in R?

Is there a good way to get a year + week number converted a date in R? I have tried the following:
> as.POSIXct("2008 41", format="%Y %U")
[1] "2008-02-21 EST"
> as.POSIXct("2008 42", format="%Y %U")
[1] "2008-02-21 EST"
According to ?strftime:
%Y Year with century. Note that whereas there was no zero in the
original Gregorian calendar, ISO 8601:2004 defines it to be valid
(interpreted as 1BC): see http://en.wikipedia.org/wiki/0_(year). Note
that the standard also says that years before 1582 in its calendar
should only be used with agreement of the parties involved.
%U Week of the year as decimal number (00–53) using Sunday as the
first day 1 of the week (and typically with the first Sunday of the
year as day 1 of week 1). The US convention.
This is kinda like another question you may have seen before. :)
The key issue is: what day should a week number specify? Is it the first day of the week? The last? That's ambiguous. I don't know if week one is the first day of the year or the 7th day of the year, or possibly the first Sunday or Monday of the year (which is a frequent interpretation). (And it's worse than that: these generally appear to be 0-indexed, rather than 1-indexed.) So, an enumerated day of the week needs to be specified.
For instance, try this:
as.POSIXlt("2008 42 1", format = "%Y %U %u")
The %u indicator specifies the day of the week.
Additional note: See ?strptime for the various options for format conversion. It's important to be careful about the enumeration of weeks, as these can be split across the end of the year, and day 1 is ambiguous: is it specified based on a Sunday or Monday, or from the first day of the year? This should all be specified and tested on the different systems where the R code will run. I'm not certain that Windows and POSIX systems sing the same tune on some of these conversions, hence I'd test and test again.
Day-of-week == zero in the POSIXlt DateTimesClasses system is Sunday. Not exactly Biblical and not in agreement with the R indexing that starts at "1" convention either, but that's what it is. Week zero is the first (partial) week in the year. Week one (but day of week zero) starts with the first Sunday. And all the other sequence types in POSIXlt have 0 as their starting point. It kind of interesting to see what coercing the list elements of POSIXlt objects do. The only way you can actually change a POSIXlt date is to alter the $year, the $mon or the $mday elements. The others seem to be epiphenomena.
today <- as.POSIXlt(Sys.Date())
today # Tuesday
#[1] "2012-02-21 UTC"
today$wday <- 0 # attempt to make it Sunday
today
# [1] "2012-02-21 UTC" The attempt fails
today$mday <- 19
today
#[1] "2012-02-19 UTC" Success
I did not come up with this myself (it's taken from a blog post by Forester), but nevertheless I thought I'd add this to the answer list because it's the first implementation of the ISO 8601 week number convention that I've seen in R.
No doubt, week numbers are a very ambiguous topic, but I prefer an ISO standard over the current implementation of week numbers via format(..., "%U") because it seems that this is what most people agreed on, at least in Germany (calendars etc.).
I've put the actual function def at the bottom to facilitate focusing on the output first. Also, I just stumbled across package ISOweek, maybe worth a try.
Approach Comparison
x.days <- c("Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun")
x.names <- sapply(1:length(posix), function(x) {
x.day <- as.POSIXlt(posix[x], tz="Europe/Berlin")$wday
if (x.day == 0) {
x.day <- 7
}
out <- x.days[x.day]
})
data.frame(
posix,
name=x.names,
week.r=weeknum,
week.iso=ISOweek(as.character(posix), tzone="Europe/Berlin")$weeknum
)
# Result
posix name week.r week.iso
1 2012-01-01 Sun 1 4480458
2 2012-01-02 Mon 1 1
3 2012-01-03 Tue 1 1
4 2012-01-04 Wed 1 1
5 2012-01-05 Thu 1 1
6 2012-01-06 Fri 1 1
7 2012-01-07 Sat 1 1
8 2012-01-08 Sun 2 1
9 2012-01-09 Mon 2 2
10 2012-01-10 Tue 2 2
11 2012-01-11 Wed 2 2
12 2012-01-12 Thu 2 2
13 2012-01-13 Fri 2 2
14 2012-01-14 Sat 2 2
15 2012-01-15 Sun 3 2
16 2012-01-16 Mon 3 3
17 2012-01-17 Tue 3 3
18 2012-01-18 Wed 3 3
19 2012-01-19 Thu 3 3
20 2012-01-20 Fri 3 3
21 2012-01-21 Sat 3 3
22 2012-01-22 Sun 4 3
23 2012-01-23 Mon 4 4
24 2012-01-24 Tue 4 4
25 2012-01-25 Wed 4 4
26 2012-01-26 Thu 4 4
27 2012-01-27 Fri 4 4
28 2012-01-28 Sat 4 4
29 2012-01-29 Sun 5 4
30 2012-01-30 Mon 5 5
31 2012-01-31 Tue 5 5
Function Def
It's taken directly from the blog post, I've just changed a couple of minor things. The function is still kind of sketchy (e.g. the week number of the first date is far off), but I find it to be a nice start!
ISOweek <- function(
date,
format="%Y-%m-%d",
tzone="UTC",
return.val="weekofyear"
){
##converts dates into "dayofyear" or "weekofyear", the latter providing the ISO-8601 week
##date should be a vector of class Date or a vector of formatted character strings
##format refers to the date form used if a vector of
## character strings is supplied
##convert date to POSIXt format
if(class(date)[1]%in%c("Date","character")){
date=as.POSIXlt(date,format=format, tz=tzone)
}
# if(class(date)[1]!="POSIXt"){
if (!inherits(date, "POSIXt")) {
print("Date is of wrong format.")
break
}else if(class(date)[2]=="POSIXct"){
date=as.POSIXlt(date, tz=tzone)
}
print(date)
if(return.val=="dayofyear"){
##add 1 because POSIXt is base zero
return(date$yday+1)
}else if(return.val=="weekofyear"){
##Based on the ISO8601 weekdate system,
## Monday is the first day of the week
## W01 is the week with 4 Jan in it.
year=1900+date$year
jan4=strptime(paste(year,1,4,sep="-"),format="%Y-%m-%d")
wday=jan4$wday
wday[wday==0]=7 ##convert to base 1, where Monday == 1, Sunday==7
##calculate the date of the first week of the year
weekstart=jan4-(wday-1)*86400
weeknum=ceiling(as.numeric((difftime(date,weekstart,units="days")+0.1)/7))
#########################################################################
##calculate week for days of the year occuring in the next year's week 1.
#########################################################################
mday=date$mday
wday=date$wday
wday[wday==0]=7
year=ifelse(weeknum==53 & mday-wday>=28,year+1,year)
weeknum=ifelse(weeknum==53 & mday-wday>=28,1,weeknum)
################################################################
##calculate week for days of the year occuring prior to week 1.
################################################################
##first calculate the numbe of weeks in the previous year
year.shift=year-1
jan4.shift=strptime(paste(year.shift,1,4,sep="-"),format="%Y-%m-%d")
wday=jan4.shift$wday
wday[wday==0]=7 ##convert to base 1, where Monday == 1, Sunday==7
weekstart=jan4.shift-(wday-1)*86400
weeknum.shift=ceiling(as.numeric((difftime(date,weekstart)+0.1)/7))
##update year and week
year=ifelse(weeknum==0,year.shift,year)
weeknum=ifelse(weeknum==0,weeknum.shift,weeknum)
return(list("year"=year,"weeknum"=weeknum))
}else{
print("Unknown return.val")
break
}
}

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