I have a timestamp column with datetime values. I want to extract year-month from it.
For Example: if timestamp is 2020-02-19T13:42:51.393Z, output I want is Feb-2020.
I tried looking at https://learn.microsoft.com/en-us/azure/data-explorer/kusto/query/format-datetimefunction, it has nothing for month.
Thanks in advance.
you could try something like this:
let months = dynamic({"1":"Jan", "2":"Feb", "3":"Mar"}); // ... add the rest
print dt = datetime(2020-02-19T13:42:51.393Z)
| project s = strcat(months[tostring(getmonth(dt))], "-", getyear(dt))
Related
I want to use date as a filter in zone on GEE script and I want to add start and end date as date filter. I need to add start date and end date in here. But vectors format is different from Raster format. Can you help me please?
Map.addLayer(latest_radd_alert.select('Date'), {min:20001,max:21200,palette:['eb1677','f6f5ff', '0000FF']}, 'RADD alert date')
var year21sel = latest_radd_alert.select('Date');
var zones = year21sel.gt(20001).add(year21sel.gt(21001));
zones = zones.updateMask(zones.neq(0));' enter code'
Im working on tweet dataframe and i want to use the timestamp column differentiate the tweets by date, however datetime conversion from timestamp does not work on a column, is there any way to do that conversion?
thanks in advance.
datediff(Column end, Column start)
Returns the number of days from start to end.
from pyspark.sql import functions as F
df = df.withColumn(F.datediff(F.(end_col), F.(start_col)))
In case you are trying to get date use below
using date_format
>>> df.select(date_format(col('ts'),"yyyy-MM-dd").alias('ts').cast("date")).show(10,False)
or using to_date
>>> df.select(to_date(col('ts')).alias('ts').cast("date")).show(10,False)
or Using from_unixtime and unix_timestamp functions:
>>> df.select(from_unixtime(unix_timestamp(col('ts'),"yyyy-MM-dd'T'HH:mm:ss.SSS"),"yyyy-MM-dd").alias("ts").cast("date")).show(10,False)
There is a large dataset that I need to download over the web using R, but I would like to learn how to filter it at the same time while downloading to the Dates that I need. Right now, I have it setup to download and .unzip and then I create another data set with a filter. The file is a text ";" delimited file
There is a Date column with format 1/1/2009 and I need to only select two dates, 3/1/2009 and 3/2/2009, how to do that in R ?
When I import it, R set it as a factor, since I only need those two dates and there is no need to do a Between, I just select the two factors and call it a day.
Thanks!
I don't think you can filter while downloading. To select only these dates you can use the subset function:
# do not convert string to factors
d.all = read.csv(file, ..., stringsAsFactors = FALSE, sep = ';')
# Date column is called DATE:
d.filter = subset(d.all, DATE %in% c("1/1/2009", "3/1/2009"))
I have a column in datatable having dates with format dd/MM/yyyy HH:mm. I fill the datatable using the code below which is common for more than 1 select statements so i cannot specify column and their datatype before filling the datatable. Any manipulation after filling the data is acceptable to me.
data_adapt = New OracleDataAdapter(query, OraConn)
dt = New DataTable
data_adapt.Fill(dt)
For paging i create a copy of the datatable using skip and take as below
dtLineupCopy = New DataTable
dtLineupCopy = dtLineup.AsEnumerable().Skip(startRows).Take(pageSize)).CopyToDataTable()
Now the issue is when I use Compute method it doesn't treat the column values as date type and returns some random date value from the column instead of minimum value.
Arvdate = dtLineupCopy.Compute("Min(Arrivaldate)", "")
Is there a way to convert the datatype for the column?
Also tried adding a new column of datetime type but it throws error System.FormatException: String was not recognized as a valid DateTime
dtLineupCopy.Columns.Add("ArvDate", getType(DateTime), "CONVERT(Arrivaldate, 'System.DateTime')")
Data in Arrivaldate column of dtLineupCopy.
22/09/2012 01:02
27/09/2012 17:01
1/10/2012 1:02
13/10/2012 07:26
14/10/2012 19:47
20/10/2012 00:00
20/10/2012 00:00
How about converting to date in the query:
Min(TO_DATE(Arrivaldate, format_mask)
http://www.techonthenet.com/oracle/functions/to_date.php
If the query that you pass in results in Arrivaldate being brought back as a string not a date then the preferred option would be to change that query? Instead of selecting Arrivaldate, select:
to_date(Arrivaldate, 'DD/MM/YYYY HH24:Mi') as Arrivaldate
If somehow that's not an option then you parse the strings afterwards. Doing that within the confines of the DataTable.Compute expression means rolling your own parsing date into sortable format function something like ...
Arvdate = dtLineupCopy.Compute("Min(Substring(Arrivaldate,7,4) + Min(Substring(Arrivaldate,4,2) + Min(Substring(Arrivaldate,1,2) + ... etc ..... " )) )
I'm trying to import an excel worksheet into R. I want to retrieve a (character) ID column and a couple of date columns from the worksheet. The following code works fine but brings one column in as a date and not another. I think it has something to do with more leading columns being empty in the second date field.
dateFile <- odbcConnectExcel2007(xcelFile)
query <- "SELECT ANIMALID, ST_DATE_TIME, END_DATE_TIME FROM [KNWR_CL$]"
idsAndDates <- sqlQuery(dateFile,query)
So my plan now is to bring in the date columns as character fields and convert them myself using as.POSIXct. However, the following code produces only a single row in idsAndDates.
dateFile <- odbcConnectExcel2007(xcelFile)
query <- "SELECT ANIMALID, ST_DATE_TIME, END_DATE_TIME FROM [KNWR_CL$]"
idsAndDates <- sqlQuery(dateFile,query,as.is=TRUE,TRUE,TRUE)
What am I doing wrong?
I had to move on and ended up using the gdata library (which worked). I'd still be interested in an answer for this though.