https://pastebin.com/XD3vQ3Bf
session = input("1130-1145", "Session", input.session)
Hi! I have an issue with this code above. I basically want a 15 min candle to be set as input and it uses that candles high and low to give targets accordingly for long and short which I have coded it properly. The only problem is that previous days line plot targets and labels are getting extended to the next day. I want it to stop at previous days market close itself. So basically it shows only from 11:45 to 15:30 if input is 11:30 to 11:45 time session. I hope someone could help me.
https://drive.google.com/file/d/11E1-u04zpzxVDfmCXL53G6nm7UA13wjm/view?usp=sharing
In this the settings is set to 11:30 to 11:45 so the labels, lines and trade should not extend to the next day 11:30. It should stop previous day itself. Its basically a 15 min timeframe candle I need to choose any candle and get tgts based on high and low.
only thing is the plot and labels of Hdata Ldata had to stop after market close and not extend to next days set time.session value.
input if taken as 1130-1145 n session variable, then 9:15 to 11:45 there must be no plots or labels or trades happening. but the high and low values stored in Hdata and Ldata as per given in the pastebin code should calculated for that 1130-1145 session input. Only 15 min timeframe
Related
This is my first question on stackoverflow, sorry if the question is poorly put.
I am currently developing a project where I predict how much a person drinks each day. I currently have data that looks like this:
The menge column represents how much water a person has actually drunk in 30 minutes (So first value represents amount from 8:00 till before 8:30 etc..). This is a 1 day sample from 3 months of data. The day starts at 8 AM and ends at 8 PM.
I am trying to forecast the Time Series for each day. For example, given the first one or two time steps, we would predict the whole day and then we know how much in total the person has drunk until 8 PM.
I am trying to model this data as a Time Series object in R (Google Colab), in order to use Croston's Method for the forecasting. Using the ts() function, what should I set the frequency to knowing that:
The data is half-hourly
The data is from 8:00 till 20:00 each day (Does not span the whole day)
Would I need to make the data span the whole day by adding 0 values? Are there maybe better approaches for this? Thank you in advance.
When using the ts() function, the frequency is used to define the number of (usually regularly spaced) observations within a given time period. For your example, your observations are every 30 minutes between 8AM and 8PM, and your time period is 1 day. The time period of 1 day assumes that the patterns over each day is of most interest here, you could also use 1 week here.
So within each day of your data (8AM-8PM) you have 24 observations (24 half hours). So a suitable frequency for this data would be 24.
You can also pad the data with 0 values, however this isn't necessary and would complicate the model. If you padded the data so that it has observations for all half-hours of the day, the frequency would then be 48.
time count
2017-03-08 19:33 1
2017-03-23 22:11 1
2017-03-30 3:30 10
2017-03-09 19:33 13
2017-03-23 22:11 1
2017-03-31 3:30 1
.....
this data is about how fast consumers comments write
so I want to make a plot which I can easily know about how fast comments on.
For example,
In X axis, time series starts from 2017-03-08
through same interval(seconds or minute) there is a bar plot
so if the comments write speed is fast, the bar plot is dense.
and then time goes on, spped is not that fast, the bar plot is not dense
how can I make it?
cc5<-dt[, tdiff := difftime(cc, shift(cc, fill=cc[1L]), units="secs"),
by=title]
using this code, I can make difftime column
I have one more problem time column is character type
so I try to change it to date type using as.Date it doesn't work
so I change it to POSIXct type
I think to make X axis in time series I need to change date type
I'm not 100% sure that I'm really understanding the result that you want,
but generally when I want to put dates in the x-axis, I go to Understanding dates and plotting a histogram with ggplot2 in R
and use Gauden's Code v1. If you have successfully changed the character into a POSIXct time, as.Date() should work fine.
For work I have a report where I compile the number of calls, emails, and texts a person makes each day. Along with this I need to pick out the earliest (Min) and the latest (max) times for each of those actions. I'm wondering if there isn't an easier way to me to pull this data from the date column rather than scrolling down for each person and finding the information.
You are right, there is definitely an easier way. What we need to rely on is that Excel stores times as the number of days since 0th January 1900 (so 1st January 1900 is day 1). Therefore, finding the earliest and latest times is simple a matter of finding the min and max values within a specific day.
I'm assuming that your data is set out as in the following. If it isn't, you can just edit my formula as appropriate.
A B C D
1 Person Date Time
2 Steve Monday 14:00
3 Steve Monday 14:05
4 Sharon Monday 12:00
5 Steve Tuesday 09:00
6 Sharon Tuesday 15:00
What we need to do is find the minimum time for Steve, given that date = Monday. We need to use an array formula. Array formulas let us 'look up' against more than one cell at the same time. The formula I would use is:
=MIN(IF(A2:A6="Steve",IF(B2:B6="Monday",C2:C6)))
Instead of clicking 'Enter' when you use this formula, you need to click Ctrl+Shift+Enter i.e., you enter the formula above and click Ctrl+Shift+Enter and Excel will return:
={MIN(IF(A2:A6="Steve",IF(B2:B6="Monday",C2:C6)))}
Can you see how to add more constraints to the look up? I've included an example screenshot below, where I've made a bigger table and also made the 'Steve' and 'Monday' references refer out to a cell, rather than just being hardcoded into the formula.
My data is memory consumption of an application for every 10 minute interval for the last 26 days.My start date is Oct 6th 2013 and end date is Novemeber 2nd 2013.I've read the data in to a time frame and cleaned it up. Now am trying to create a time series , something along the lines of my_ts<-ts(mydata[3],start=c(2013,10),frequency=10)
Am sure this not correct as the frequency , can someone point me in the right direction so I can plot the time series
.
In R, frequency actually means the period of the seasonality. i.e., frequency = frequency of observations per season. In your case, the "season" is presumably one day. So you want
ts(mydata[3],start=c(2013,10),frequency=24*60/10)
Wikipedia gives an example of an ISO 8601 example of a repeating interval:
R5/2008-03-01T13:00:00Z/P1Y2M10DT2H30M
This is what this means:
R5 means that the interval after the slash is repeated 5 times.
2008-03-01T13:00:00Z means that the interval begins at this given datetime.
P1Y2M10DT2H30M means that the interval lasts for
1 year
2 months
10 days
2 hours
30 minutes
My problem is that I do not know exactly what is being repeated here. Does the repetition
occur immediately after the interval ends? Can I specify that every Monday something happens from 13:00 to 14:00?
The standard itself doesn't clarify, but the only obvious interpretation here is that the interval repeats back-to-back. So this recurring interval:
R2/2008-03-01T13:00:00Z/P1Y2M10DT2H30M
Will be equivalent to these non-recurring intervals:
2008-03-01T13:00:00Z/P1Y2M10DT2H30M
2009-05-01T15:30:00Z/P1Y2M10DT2H30M
(Note: my reading is that the number of repetitions does include the first occurrence)
There is no way to represent "every Monday from 13:00 to 14:00" inside of ISO 8601, but it's natural to do for a VEVENT in the iCalendar format. (If you could do that entirely within ISO 8601, then that would give rise to a slew of further feature requests)
Yes, ISO8601 does define a regular repeating interval (or as regular as a "month" can be as one of the units).
R5/2008-03-01T13:00:00Z/P1Y2M10DT2H30M
Should generate these times:
2009-05-11T15:30:00Z
2010-07-21T18:00:00Z
2011-10-01T20:30:00Z
2012-12-11T23:00:00Z
2014-02-22T00:30:00Z
It doesn't define a "start time" and "end time" like RFC5545 (iCalendar) does, or even irregular repetition like RRULE or crontab can.
You should be able to specify a weekly repetition using the ISO Week Date as a starting point, but you'll need separate repetitions for "start" and "end" times:
R/2021-W01-1T13:00:00Z/P1W
R/2021-W01-1T14:00:00Z/P1W
The first interval is for the start times: Mondays at 13:00 (starting in 2021), and the second is for the end times: Mondays at 14:00 (starting in 2021).
I'm probably being an idiot (Long Covid Brain) but isn't the obvious extension to ISO-8601 a second duration part? In the absence of the second duration, the repeats are back to back, in its presence what is actually repeating is a smaller duration event at the start of each period. e.g.
R/2021-W01-1T13:00:00Z/P1W/P1H
indefinite weekly repeat of hour long slots every Monday 1pm starting week 1 2021.
EDIT: Maybe you could even nest them ...
R/2021-W01-1T09:00:00Z/P1W/R5/P1D/P8H
Mon to Fri, 9am to 5pm, every week? Ok I'll get my coat